Boone County is home to Columbia and the University of Missouri (Mizzou), creating one of Missouri's most active rental markets. This report maps ownership concentration across 73,553 parcels, identifying 1,004 clusters where multiple entities share a single mailing address. The university town dynamic drives significant multi-entity ownership — with large PO Box-based management hubs serving the student and workforce rental market.
Boone County data reveals a university-driven rental market with highly concentrated local management hubs operating through PO Box addresses in Columbia.
PO Box 642, Columbia: 62 entities, 103 parcels. The largest cluster in Boone County by entity count. Sixty-two distinct entity names share this single PO Box, controlling 103 parcels. This concentration is consistent with a professional property management operation or registered agent service handling a large portfolio of university-area rental LLCs from one Columbia mailing address.
PO Box 1274, Columbia: 56 entities, 258 parcels. The largest cluster by parcel count. Fifty-six entities controlling 258 parcels from a single PO Box — a significant concentration of rental housing in a university town market. The high parcel-to-entity ratio suggests this operator manages substantial multi-unit or multi-property portfolios under each entity name.
University town market dynamics. Columbia's status as a major university town creates persistent demand for rental housing — student apartments, workforce housing, and investment properties. The ownership concentration patterns in Boone County reflect this dynamic, with local operators building large multi-entity portfolios to serve the university rental market.
Data coverage note: thin schema — no values, no property class. Boone County's public assessor data does not include appraised values or property class fields. This means the report cannot provide dollar-weighted cluster rankings or property-type breakdowns. The report covers ownership concentration, entity counts, and parcel counts only. A valuations disclosure is included in the report PDF.
A complete county intelligence package — PDF report and companion CSV — delivered as instant digital downloads.
Executive dashboard, geographic treemap, scatter analysis, top clusters by two ranking methods, entity rosters for the top clusters, CSV quick-start guide, full methodology, valuations disclosure, and legal disclaimer.
Structured data covering every entity in every cluster. Filter by owner state, entity count, or parcel count for custom analysis. Note: no value or property class columns due to source data limitations.
Identify which operators control which segments of the university town rental market before making acquisition decisions.
Cross-reference loan applicants against ownership clusters to see borrower portfolios across multiple LLC names in Boone County.
Identify when buyer or seller entities share a PO Box with dozens of other entities operating in the Columbia rental market.
Understand who owns rental housing near campus — useful for university housing offices and student advocacy organizations.
The report is generated from public Boone County assessor records. Owner names and mailing addresses are normalized, then clustered by mailing address using the same methodology applied to all NPA county reports. Government-owned properties and university-owned properties are excluded from clustering.
Note: Boone County's public data source does not include appraised values or property class fields. The report provides ownership concentration analysis based on entity counts and parcel counts only. A valuations disclosure is included in the report PDF. For complete methodology details, see the methodology page.
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