Research & Analysis

Original intelligence from public property data

Our platform processes hundreds of thousands of county assessor records to surface ownership patterns that manual research cannot detect. These articles explain the methodology, present findings, and provide practical guidance for real estate professionals.

Data Analysis

Data Analysis

St. Louis County property ownership report: 4,931 clusters identified

Data-rich overview of St. Louis County findings. 401,458 parcels, $30.3B in clustered value, Clayton dominance, and top municipality breakdown.

Data Analysis

St. Charles County property ownership: institutional investors mapped

171,854 parcels analyzed. Lead finding: Invitation Homes operates 65 LLCs controlling 647 parcels from a single Florida address.

Data Analysis

Out-of-state investor footprint: who owns St. Louis County real estate?

Over 24,000 parcels owned by out-of-state entities. California, Illinois, and Texas lead. Institutional SFR operators visible in the data.

Data Analysis

Kansas City property ownership: institutional operators controlling thousands of parcels

440,966 parcels across Jackson, Clay, and Platte Counties. Arizona and Texas operators control thousands of parcels through multi-entity LLC networks spanning two metros.

Data Analysis

Springfield Missouri property ownership: 29.1% entity ownership and growing

Greene County has the highest entity-name ownership rate in the NPA catalog. Christian County adds Nixa and Ozark coverage. 161,419 parcels, 2,726 clusters across the Springfield metro.

Research

Research

Institutional SFR investors in Missouri: who they are and how many properties they own

Invitation Homes (647 parcels), VB One (527), Conrex/HPA II (589 in Jackson Co), Austin TX operator (958 in Jackson Co). 3,400+ institutional parcels mapped across 5 counties.

Research

How many LLCs can operate from one address? What our data shows

No legal limit. Across 17.8M parcels in 66 counties we've identified addresses with 50–180+ distinct LLCs. What the concentration data reveals.

Research

What is ownership concentration risk in real estate?

How multiple LLCs at the same address signal complex property networks. Why concentration matters for lenders, investors, and title companies.

Research

How multi-entity LLC networks operate in Missouri real estate

Missouri's LLC-friendly environment, common entity structures, and why 22.7% of St. Louis County parcels are held by entity names.

Research

Property ownership transparency: why public records matter in real estate

FinCEN beneficial ownership reporting, state LLC transparency laws, and 1.42M parcels analyzed across 9 counties.

Methodology

How we score properties for Acquisition Opportunity Signals — and why we exclude mailing addresses

The 8-factor distress scoring model behind NPA Acquisition Signal CSVs — and the deliberate product choice to exclude owner mailing street addresses from the export.

Methodology

Understanding property distress signals: a data-driven approach

Eight measurable signals in county assessor data — from absentee ownership to low improvement ratios — and how composite scoring reveals patterns.

Research

Absentee ownership in Missouri: which counties have the highest rates and what it means

Comparative analysis across 9 counties. City of St. Louis leads at 59% absentee. Out-of-state ownership from California, Texas, Florida, and Arizona mapped.

Research

Cross-county ownership patterns: how multi-entity operators span Missouri metros

The same Austin TX operator controls parcels in Jackson, Platte, and Jefferson Counties. The same Scottsdale AZ PO Box appears in two metros. Multi-county intelligence reveals the full network.

Guides

Guide

Real estate due diligence checklist: identifying related-party transactions

An 8-step checklist for identifying entity networks, shared ownership, and concentration patterns using publicly available data.

Guide

Why title companies need ownership intelligence beyond the deed

Title searches reveal the current owner. Ownership intelligence reveals the network behind the owner. A complementary data layer for title workflows.

See the data behind the research

County-level ownership intelligence reports with PDF analysis and companion CSV. Every cluster, every entity, every parcel.

View County Reports