Livingston (NY) Investor Pulse Report (2025-Q4)

Livingston County's landlord-owned SFR portfolio totals 2,295 properties, representing 14.4% of the county's total SFR market of 15,970 properties. This indicates a significant, but not overwhelming, presence of rental housing within the local market.

Individual investors overwhelmingly dominate the landlord landscape, owning 2,092 properties (91.2% of the total investor-owned SFR) compared to companies which own 231 properties (10.1%). This distribution challenges the narrative of large corporate ownership in the region.

The investor market is primarily driven by rental income, with 2,266 properties (98.7% of landlord-owned SFR) identified as rented or non-owner-occupied. This confirms the functional purpose of these properties as long-term investments rather than temporary flips.

Cash acquisitions significantly outweigh financed ones among landlords, with 1,511 properties (65.8%) being cash-owned versus 784 properties (34.1%) being financed. This suggests a preference for unburdened assets or a strong capital base among investors.

Individual landlords show a similar investment composition to the overall market, holding 2,066 rented properties, 691 financed properties, and 1,438 cash properties. Companies, while smaller in scale, also focus heavily on rented properties (221 units), with 93 financed and 73 cash properties, reflecting consistent investment strategies across owner types.

The ratio of individual to company landlords further solidifies individual dominance, with 2,744 individual landlords compared to 211 company landlords. This highlights a market largely composed of smaller, independent investors.

The vast majority of rented, financed, and cash properties are held by individual owners, aligning with their overall market share. For instance, 2,066 of the 2,266 rented properties are individually owned, underscoring their role in providing rental housing.

Contrary to common market trends seen elsewhere, Livingston County landlords paid a significant premium for properties compared to traditional homeowners across every quarter of 2025. In Q4 2025, landlords paid an average of $377,394, a striking $113,602 more than homeowners who paid $263,792, representing a 43.1% premium.

This unusual price gap has fluctuated throughout the year, peaking in Q1 2025 where landlords paid an astounding 82.5% more ($343,328 vs $188,105 for homeowners). While the premium eased to 12.7% in Q3, it demonstrates a persistent willingness or necessity for investors to pay above market rates compared to owner-occupants.

The consistent landlord premium across 2025 signals unique market dynamics in Livingston County, where investors might be targeting specific property types, locations, or distressed assets not typically pursued by traditional homeowners, or face less competition from them at these price points.

The average acquisition prices for landlords by timeframe (2025-Q4, Year 2025, Year 2024, 2020-2023) show zero distinct properties purchased, making it impossible to analyze acquisition price trends for landlords in isolation or to directly compare individual vs. company pricing trends through these specific datasets.

However, the existence of landlord prices in the comparison data (`section6-2.csv`) suggests that while aggregated distinct purchases may be zero, landlord transactions did occur. The available comparison data consistently shows landlords paying more, indicating a structural difference in their market participation or target properties.

The lack of granular acquisition data by distinct properties purchased per timeframe for landlords in `section6-1.csv` limits our ability to identify price appreciation from the pandemic-era (2020-2023) to Q4 2025 directly from landlord-only data, though the `section6-2.csv` data for 2025 clearly shows elevated landlord prices.

The significant premium paid by landlords in Livingston County suggests either a highly competitive investor market or a strategic focus on properties that fall outside the typical homeowner's budget or preferences, defying the general market assumption of landlords securing discounts.

In Q4 2025, landlords in Livingston County were highly active, acquiring 60 SFR properties, which represents a significant 43.5% share of the total 138 SFR purchases made in the quarter. This indicates a robust investor presence and demand in the local market.

The Q4 purchasing activity was exclusively dominated by mom-and-pop landlords (Tiers 01-04), who accounted for 100.0% of all landlord purchases, totaling 61 properties. This highlights the foundational role of smaller investors in the local real estate market.

The single-property landlord tier (Tier 01) was particularly active, with 55 properties purchased by 83 entities, constituting 90.2% of all landlord acquisitions in Q4. This signals a strong influx of new or expanding small-scale investors entering the market.

Institutional investors (Tier 09, 1000+ properties) made no purchases in Livingston County during Q4 2025, reaffirming the market's reliance on smaller, local investors. This stands in stark contrast to national trends often pointing to institutional dominance.

Beyond single-property owners, two-property landlords (Tier 02) purchased 3 properties through 3 entities (4.9% of landlord purchases), and small landlords (Tier 03-05) also acquired 3 properties through 4 entities (4.9%). These tiers represent steady, albeit smaller, contributions to overall landlord buying activity.

The concentration of Q4 activity within Tier 01, where 83 entities acquired 55 properties, suggests that many new landlords are entering the market with a single investment, indicating accessibility and perceived opportunity for small-scale ventures.

The average properties per entity across the active tiers in Q4 shows that single-property landlords are indeed the primary drivers, with a ratio well below one property per entity for larger tiers, emphasizing the atomized nature of recent investor purchases.

Mom-and-pop landlords, encompassing Tiers 01 through 04 (1-10 properties), collectively control an overwhelming 99.6% of all investor-owned SFR properties in Livingston County, totaling 2,295 properties. This stark concentration underscores their foundational role in the local rental housing market.

The backbone of this market is the single-property landlord (Tier 01), who collectively own 2,099 properties, representing an astounding 90.5% of the entire investor-owned SFR portfolio. This highlights that first-time and solo investors are the primary drivers of rental housing supply.

In stark contrast to widespread perceptions of institutional dominance, large-scale institutional investors (Tier 09, 1000+ properties) hold a mere 3 properties, accounting for only 0.1% of the total investor-owned SFR. This indicates a minimal presence of 'Wall Street' entities in Livingston County.

The remaining small-to-mid-size landlords (Tiers 02-08, 2-1000 properties) collectively own just 88 properties, making up the remaining 3.9% of the market share. This further emphasizes the market's reliance on individuals with small portfolios.

With 2,099 properties owned by Tier 01, this tier also accounts for a substantial portion of the 2,955 total landlord entities in the county. This high entity count combined with the large property count for Tier 01 reveals a highly fragmented, individual-driven ownership structure.

The average portfolio size per entity in Tier 01 is, by definition, one property, whereas for higher tiers (e.g., Tier 02, 03-05), the average property count per entity slightly increases, but remains small. This reinforces the atomized nature of the landlord market.

Specific acquisition price data broken down by tier across timeframes (All Time, Q4, 2024, 2020-2023) is not available in the provided `section8-2.csv`, precluding an analysis of whether larger investors pay more or less than smaller landlords in this geography.

While individual investors overwhelmingly dominate the smaller tiers, a significant crossover point occurs at Tier 04 (6-10 properties), where company ownership becomes the majority. In this tier, companies own 13 properties (81.2%) compared to individuals who own just 3 properties (18.8%).

For single-property landlords (Tier 01), individual ownership is paramount, accounting for 1,958 properties (92.2%) against 165 (7.8%) owned by companies. This pattern continues in Tier 02, where individuals hold 89 properties (78.8%) versus 24 (21.2%) for companies.

Even in the 'small landlord' range of 3-5 properties (Tier 03), individuals maintain a strong lead, owning 62 properties (73.8%) compared to 22 (26.2%) for companies. This solidifies the individual investor's presence across the smaller end of the spectrum.

The shift to company dominance at Tier 04 suggests that as portfolio sizes expand beyond 5 properties, the operational and financial structures favored by companies become more advantageous, indicating a strategic scaling difference between owner types.

Tier 01 (single-property) exhibits the highest concentration of individual ownership (92.2%), while Tier 04 (6-10 properties) demonstrates the highest company concentration (81.2%). This clearly delineates the preferred operational scale for each owner type.

Despite the lack of specific acquisition pricing data by owner type within each tier, the ownership distribution implies that companies are structured for, or actively pursue, larger-scale investments once they commit to expanding their portfolios beyond the initial few properties.

Data on growth patterns differing by owner type (all-time vs Q4) is not explicitly provided in `section9-1.csv`, limiting the ability to discern recent shifts in individual versus company accumulation strategies within each tier.

Within Livingston County, the zip codes 14454 and 14487 emerge as hotspots for investor activity, each boasting 340 investor-owned properties. This tie for the lead in property count highlights a significant concentration of landlord investments in these specific sub-geographies.

Beyond sheer numbers, the 14480 zip code records the highest investor ownership rate at 30.5% of all SFR properties. This indicates a high market penetration by landlords, signaling a potentially more competitive rental market or a higher proportion of rental-friendly housing stock.

Other key zip codes by count include 14437 with 291 properties (12.2% rate), 14435 with 211 properties (20.6% rate), and 14510 with 198 properties (18.7% rate). These areas also represent significant pockets of investor-owned housing within the county.

The top regions by investor ownership percentage, after 14480 (30.5%), include 14512 (25.0%), 14560 (23.7%), and 14592 (21.8%). These areas are characterized by a substantial proportion of their housing stock being investor-controlled, regardless of the absolute property count.

There is a notable correlation between high property counts and high ownership rates among the top regions. For example, 14454 and 14487 are not only top by count but also show strong ownership rates (18.7% and 18.5%), indicating that these regions are both large and highly penetrated by investors.

Acquisition prices are not provided at this sub-geography level in `section10.csv`, precluding an analysis of how pricing strategies vary across these regions within Livingston County. This limits insights into potential market value differences for investors.

The data clearly shows that investor activity in Livingston County is not evenly distributed, but rather highly concentrated in specific zip codes, suggesting targeted investment strategies or localized market opportunities that appeal to landlords.

Livingston County landlords overall are robust net buyers, significantly accumulating properties. In Q4 2025, they bought 94 SFR properties while selling only 15, resulting in a strong buy-to-sell ratio of 6.27x, indicating an active expansion phase.

This trend of net buying is consistent across the entire year 2025, with landlords purchasing 339 properties against 47 sells, achieving a remarkable 7.21x buy/sell ratio. Year 2024 also saw similar activity, with 415 buys and 48 sells, a 8.65x ratio.

The sustained high buy/sell ratio over multiple years demonstrates a consistent growth strategy for landlords in the county, suggesting confidence in the local rental market and long-term investment potential.

In contrast to the overall landlord activity, institutional investors (1000+ tier) showed a net seller position in 2024, divesting 3 properties while acquiring only 1. This signals a different strategy or market outlook for large-scale players, though their activity for 2025 is not available.

The average buy price for all landlords in Q4 2025 was $377,394, while the average sell price was not provided in `section11-1.csv` for Q4, preventing a direct implied margin calculation for the quarter. However, historical average prices are not available to infer an implied margin over time.

The percentage of buy transactions from other landlords (inter-landlord) and sell transactions to other landlords is not provided in `section11-1.csv`, limiting insight into the liquidity and internal trading dynamics of the investor market.

The overall market direction in Livingston County, driven by the vast majority of smaller landlords, is clearly one of accumulation, with a consistently high acquisition pace compared to divestments over recent years.

Landlords played a dominant role in Livingston County's Q4 2025 SFR market, accounting for 94 of the total 214 transactions, which represents a substantial 43.9% market share. This underscores their significant influence on local real estate activity.

Transaction volumes varied across investor tiers, with single-property landlords (Tier 01) being by far the most active, responsible for 85 transactions. This aligns with their overwhelming ownership share and Q4 purchase activity, signaling continued growth at the entry level.

The average purchase price for Tier 01 landlords was $370,903, indicating that new or single-property investors are acquiring properties at a relatively high price point in Q4. This is similar to the overall landlord average price in Q4 from Section 6 data.

Inter-landlord trading activity shows interesting patterns: Tier 01 landlords bought 6 properties (7.1%) from other landlords. More notably, the few transactions by larger landlords, such as Tier 11-20 (1 transaction) and Tier 101-1000 (1 transaction), were exclusively sourced from other landlords (100.0% in both cases).

The price spread between active tiers shows that while Tier 01 paid $370,903 on average, small landlords (Tier 03-05) paid significantly less at $217,000 for their 4 transactions. This suggests differing acquisition strategies or property types targeted by varying investor sizes.

Tier 02 (two-property landlords) had 3 transactions with an average price of $636,264, remarkably higher than Tier 01, hinting at high-value acquisitions by this small segment. They also sourced a third of their purchases (1 of 3) from other landlords.

Comparing tier activity in transactions to tier ownership distribution, the single-property tier remains the most active in Q4 transactions, mirroring its dominant ownership share. Institutional investors (Tier 09) show no Q4 transactions, consistent with their minimal ownership and 2024 net seller status.