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Listing · PROPRAVEN_PARCEL_INTELLIGENCE

PropRaven Parcel Intelligence

Every U.S. parcel, every signal, one row.

Engineers · Data scientists · App buildersRefreshed per parcel build (weekly from 2026-10-04)
Parcels
191.3M
Catalogued columns
620
Counties
2,926
States
51

Access today

  • Listing status (2026-10-15). The Snowflake Marketplace listing is in review, so it cannot be subscribed to yet.
  • Access today. Access is a direct share by request: email sales@propraven.com with your Snowflake account identifier and the listings and states you need. It is not self-serve yet.
  • Requirements. The provider account runs on AWS (region on request). To accept the share you need a role with IMPORT SHARE and CREATE DATABASE (standard Snowflake share acceptance), so you can create a database from the share.
  • Cost. Snowflake delivery is sold as a Data License; see /pricing.

Description

Parcel Intelligence is the marquee wide table — every U.S. parcel pre-joined to every enrichment we ship, on a single row. It replaces 6+ vendor data feeds with one Snowflake share.

If you're integrating property intelligence into an application or building features against the data, this is the right access mode: one query, one row per parcel, every catalogued column available without joins. The catalog has 620 catalogued columns (44 rebuilt every epoch and 576 carried from an April 2026 reference export; 56 of the 620 are withheld from sale while they are rebuilt).

What's included

  • Identity & geometry: APN, normalized APN, lat/lon, geometry polygon, lot size, county/CBSA/state.
  • Property attributes: year built, building area, beds, baths, units, owner-occupancy flag, MISMO-normalized property type (96.4% classified).
  • Owner intelligence: 27.56M canonical entities (72.8% coverage), entity type (LLC / CORP / TRUST / GOVT / INDIVIDUAL / ...), state of formation.
  • Tax & assessments: latest tax year + multi-year history, assessed values (land/improvement/total), tax amount, exemptions.
  • Permits: building-permit count, recent permit activity, contractor names, business licenses, NAICS codes.
  • Deeds & sales: last sale date/price, prior sale, deed count, grantor/grantee.
  • AVM & valuation: PropRaven AVM with confidence (87.6% coverage).
  • Risk vector: FEMA NRI overall + per-peril (94.9% rated), NFIP flood claims, NOAA storms, USGS seismic, CDC SVI, wildfire score, climate risk tier.
  • Demographics: ACS tract attributes, IRS migration, HMDA loan activity, CDC PLACES health.
  • Crime: FBI/NIBRS-derived rates and concentration.
  • Federal overlays: HUD HMDA / FMR / LIHTC QCT, FDIC SOD branches, Justice40, EPA ECHO, FEMA disaster history.
  • NEW v1.2 — extensions (PARCEL_EXTENSIONS join table): TIGER census-block / block-group / place / school-district GEOIDs, parsed address components (street number / name / suffix / unit), AVM lower/upper bands + rental AVM, REO/distress/multi-parcel flags, distance to interstate + coastline.

Use cases

  • CRM enrichment: hydrate a customer record with the full property profile in a single SELECT.
  • Pricing models: train AVM-supplement or insurance-pricing models against pre-resolved features.
  • Lead scoring: filter to your buyer cohort with one WHERE clause across the catalogued columns.
  • Embedded apps: power "property dashboard" features without managing 6 vendor pipelines.

Sample query — high-wildfire-risk SFR in CA, including v1.2 columns

-- Catalogued columns are direct columns — no join needed.
-- v1.2 columns: AVM_LOWER/UPPER bands, TRACT_GEOID, IS_DISTRESSED, etc.
SELECT
  PARCEL_ID,
  ADDRESS,
  PROPERTY_TYPE,
  YEAR_BUILT,
  TOTAL_ASSESSED_VALUE,
  AVM_LOWER,
  AVM_UPPER,
  RENTAL_AVM_LOWER,
  NRI_RISK_RATING,
  FLOOD_ZONE,
  TRACT_GEOID,
  URBAN_RURAL_CLASS,
  IS_DISTRESSED,
  OWNER_NAME
FROM PROPRAVEN_PARCEL_INTELLIGENCE.CURATED.V_MARKETPLACE_NATIONAL
WHERE STATE_FIPS = '06'
  AND PROPERTY_TYPE = 'SFR'
  AND NRI_WILDFIRE_RATING IN ('Very High', 'Relatively High')
  AND AVM_LOWER > 750000
LIMIT 100;

Refresh cadence

Refreshed per parcel build (weekly from 2026-10-04). Source data inherits its publishing cadence — county assessor records refresh monthly to annually, FEMA NFHL/NRI annually, FBI/NIBRS quarterly, Census TIGER 2025 and ACS annually, FDIC SOD annually, HUD HMDA/FMR/LIHTC QCT annually, CEQ Justice40 quarterly. Most enrichment columns come from an April 2026 reference snapshot; the build currently served is shown on /data/live.

Freshness as of 2026-10-15. PROPRAVEN_PARCEL_INTELLIGENCE (the 620-column parcels table) was refreshed on 2026-10-15 from the parcels gateway's current per-state builds (most states 2026-10-12; ID 2026-10-11; CT 2026-10-04-rw1; WI 2026-10-18), loaded by serverless Snowpipe. The Ontology share's silver tables were refreshed the same day from silver built on that per-state map; its derived graph and intelligence tables (owner portfolio, ownership edges, distress, value-add, institutional ownership, lender exposure) are from the 2026-08-28 build. Per-row _LOADED_AT and _SOURCE_AS_OF columns expose the actual freshness for any row in your query result.

Upgrade path

Parcel Intelligence is one of three access modes for the same underlying truth:

  • Parcel Intelligence (this listing) — wide table, one row per parcel, single-join workflows.
  • Ontology — graph shape with canonical entities + edges; better for traversal queries ("every parcel owned by entities controlled by X").
  • Vertical bundles (Lending / Insurance / Banking / SFR / CRE / GovTech) — pre-filtered cohorts for specific use cases, often cheaper.

Subscribers to Parcel Intelligence can layer in the Ontology share or any vertical bundle without redundant data ingestion.

Try before you buy

Ask for PropRaven Preview, a free 10K-parcel Mecklenburg County NC sample with the same schema, as a direct share. Once you've validated your queries against the sample, request PROPRAVEN_PARCEL_INTELLIGENCE for full national data. Both are direct shares by request until the Marketplace listing is live.


Questions? support@propraven.com — or browse the data dictionary and sample queries.