Institutional SFR Ownership and Market Share: National Footprint vs. Local Geographic Concentration

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Institutional SFR Ownership and Market Share: National Footprint vs. Local Geographic Concentration

Evaluating the impact of institutional single-family rental (SFR) owners requires establishing their exact footprint. While public debate often frames "Wall Street" as buying up the entire housing stock, empirical data reveals a sharp contrast between a modest national footprint and highly concentrated local market shares.1

National Footprint and Investor Activity in 2026

Data from Redfin's Q1 2026 Investor Report indicates that investor activity has normalized near pre-pandemic baselines, following the homebuying frenzy of 2021 and 2022.

  • Investor Market Share: Real estate investors purchased 19% of U.S. homes sold in the first quarter of 2026, largely unchanged from 20% in Q1 2025. This stable share reflects the overall sluggishness of the U.S. housing market, as both institutional and individual homebuyers have pulled back due to elevated borrowing costs.
  • Sinking Purchase Volumes: U.S. investor home purchases fell 6% year over year in Q1 2026 to their lowest level since 2020. Investors have pulled back sharply from low-priced homes (down 10% YoY) due to tight profit margins, favoring high-end homes (down only 1% YoY) for long-term stability.
  • Property Type Preferences: Single-family homes remain the dominant target, comprising 70% of all investor purchases in Q1 2026, compared to 18% for condos and 7% for townhouses. However, investor purchases of single-family homes fell 6% YoY.
  • Listing Share: Investors held only 7.8% of all U.S. home listings in Q1 2026, the smallest share in five years, reflecting the overall reduction in active investor portfolios.
Extreme Local Geographic Concentration

While investors buy roughly 1 in 5 homes sold nationally, their actual ownership footprint is heavily concentrated in specific metropolitan areas and highly targeted neighborhoods.

  • Metro-Level Investor Shares (Q1 2026):
    • Miami, FL: Led the nation with a 33% investor market share (1,863 purchases, +10% YoY).
    • Anaheim, CA: 29% investor share (1,283 purchases, +6% YoY).
    • San Francisco, CA: 28% investor share (575 purchases, +19% YoY, driven by the local AI boom).
    • Cleveland, OH: 27% investor share (900 purchases, -21% YoY).
    • Atlanta, GA: 21% investor share (2,918 purchases, -6% YoY).
    • Phoenix, AZ: 20% investor share (3,072 purchases, -4% YoY).
  • Tract-Level Concentration: Academic tracking by Gorback, Qian, and Zhu (2024) shows that while the median U.S. census tract has nearly 0% institutional Long-Term Rental (LTR) market share, the 95th percentile tract has 4.3% LTR ownership, and the 99th percentile tract has upwards of 8%. In these highly concentrated neighborhoods, 1 in 12 single-family homes is owned by a large institutional landlord.
2026 Rent Growth Trends: Northeast and Midwest Outperform Sun Belt

According to the Arbor Realty Trust / Chandan Economics August 2026 Report, single-family rental conditions strengthened during the first half of 2026, with rents rising across all 50 of the nation's largest metros between December 2025 and June 2026. However, growth was highly uneven, reflecting a major shift in momentum away from historical Sun Belt hotspots:

  • The Northeast and Midwest Lead: Affordable markets in the Northeast and Midwest represented eight of the top 10 leading metros for rent growth. Buffalo, NY led the nation with 3.6% rent growth in the first half of 2026, followed by San Jose, CA (+3.3%), Cincinnati, OH (+2.7%), Hartford, CT (+2.7%), and New York, NY (+2.6%).
  • Sun Belt Softening: Historical SFR investment hotspots in the Sun Belt experienced substantially weaker rent growth. Austin, TX and Raleigh, NC recorded the lowest growth rates at 0.3%, followed by Denver, CO (+0.4%), and Dallas, TX, Houston, TX, and Phoenix, AZ each at 0.5%.
  • Widespread Positive Momentum: Nationally, 75.7% of tracked markets (456 out of 602) experienced monthly rent increases in June 2026, the highest level of the year, indicating that while growth is geographically uneven, positive rental demand remains broad-based.

  1. An instance of Tiny national housing footprints mask the severe local squeeze corporate capital exerts on starter homes. — It outlines how the low overall national ownership share of corporate landlords obscures their heavy geographic concentration in specific local markets. ↩︎

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This finding is an example of a pattern recurring across your work:

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Revision history

  • Update the institutional ownership and market share note with Redfin Q1 2026 investor purchase data, metro-level purchase shares, and Arbor/Chandan Economics August 2026 data on geographic rent growth trends.
    · by the agent
  • Update with the latest 2024 Census RHFS, Q1 2026 Redfin, Q4 2025 Cotality, and 2026 John Burns data on national ownership footprint, active purchase shares, and local concentration.
    · by the agent
  • Updated without a stated reason.
    · by the agent
  • Update the market share note to incorporate the March 2026 Realtor.com study on the shrinking institutional footprint using the 350-home purchase threshold.
    · by the agent
  • Update the market share note to incorporate the March 2026 Realtor.com study on the shrinking institutional footprint using the 350-home purchase threshold.
    · by the agent
  • Update the market share note to incorporate the March 2026 Realtor.com study on the shrinking institutional footprint using the 350-home purchase threshold.
    · by the agent
  • Update with precise national and localized SFR ownership figures from John Burns (2026), Brookings/Gyourko (2026), Barbieri & Dobbels (2026), and Coven (2025).
    · by the agent
  • Update with precise national and localized SFR ownership figures from John Burns (2026), Brookings/Gyourko (2026), Barbieri & Dobbels (2026), and Coven (2025).
    · by the agent
  • Update with precise national and localized SFR ownership figures from John Burns (2026), Brookings/Gyourko (2026), Barbieri & Dobbels (2026), and Coven (2025).
    · by the agent
  • Update the note to include Redfin's Q1 2026 investor home purchases report and CoreLogic's detailed breakdown of mom-and-pop vs mega-investors across major metro areas.
    · by the agent
  • Update the note on institutional SFR ownership and market share to incorporate the newly released June 30, 2026 CRS report (R49015) and clarify the critical definitional mismatch between the 30% investor market share (CoreLogic/Cotality) and the 1-3% institutional share (John Burns).
    · by the agent
  • Update market share and concentration figures with the latest ACS 2024 and Ellen & Goodman data, highlighting the contrast between 3% national rental share and 50%+ hyper-local zip code concentration.
    · by the agent
  • Update market share and concentration figures with the latest ACS 2024 and Ellen & Goodman data, highlighting the contrast between 3% national rental share and 50%+ hyper-local zip code concentration.
    · by the agent
  • Update market share and concentration figures with the latest ACS 2024 and Ellen & Goodman data, highlighting the contrast between 3% national rental share and 50%+ hyper-local zip code concentration.
    · by the agent
  • Update with February 2026 Cotality (CoreLogic) Home Investor Report data, outlining the 30% overall investor share, the 5% large institutional share, and the divergence of purchase volume vs. market share.
    · by the agent
  • Incorporate detailed, precise neighborhood-level and product-level concentration data (starter home focus, square footage, specific Sunbelt ZIP codes) from Barbieri & Dobbels (2026) and Coven (2025) to contrast national footprint vs. local geographic concentration.
    · by the agent
  • Incorporate detailed, precise neighborhood-level and product-level concentration data (starter home focus, square footage, specific Sunbelt ZIP codes) from Barbieri & Dobbels (2026) and Coven (2025) to contrast national footprint vs. local geographic concentration.
    · by the agent
  • Incorporate detailed, precise neighborhood-level and product-level concentration data (starter home focus, square footage, specific Sunbelt ZIP codes) from Barbieri & Dobbels (2026) and Coven (2025) to contrast national footprint vs. local geographic concentration.
    · by the agent
  • Incorporate detailed, precise neighborhood-level and product-level concentration data (starter home focus, square footage, specific Sunbelt ZIP codes) from Barbieri & Dobbels (2026) and Coven (2025) to contrast national footprint vs. local geographic concentration.
    · by the agent
  • Incorporate detailed, precise neighborhood-level and product-level concentration data (starter home focus, square footage, specific Sunbelt ZIP codes) from Barbieri & Dobbels (2026) and Coven (2025) to contrast national footprint vs. local geographic concentration.
    · by the agent