Monroe (PA) Investor Pulse Report (2026-Q1)

Real Estate comprehensive investment analysis of investor activity in the Monroe (PA) single-family residential housing market. Discover ownership trends, transaction patterns, and market insights.

Market Overview

Total SFR Properties in Monroe (PA)
67,004
Total Investors in Monroe (PA)
31,232
Investor Owned SFR in Monroe (PA)
22,493(33.6%)
Individual Landlords
Landlords
29,338
SFR Owned
20,154
Corporate Landlords
Landlords
1,894
SFR Owned
2,484
Understanding Property Counts

Distinct Count Methodology: The total 22,493 represents distinct properties - if 2+ landlords co-own the same property, it's counted only once. This provides the most accurate representation of investor-owned SFR properties.

Why totals don't sum: When broken down by Individual vs Corporate ownership (or by tier), properties with co-ownership across categories are counted once per category. For example, if a property is co-owned by an individual AND a corporate landlord, it appears in both counts. This is why Individual + Corporate totals may exceed the distinct total by 2-4%, and percentages may sum to 100-104%.

Market Visualization

Chart Section2 Coverage
Chart Section3 Ownership Donut
Chart Section4 Distribution

Key Market Insights

Mom-and-Pop Investors Command 98.3% of Monroe County's Rental Market as Institutions Retreat
Investors own 33.6% of SFRs in Monroe County (22,493 properties), with small landlords controlling a massive 98.3% share versus just 0.1% for institutions. In Q4 2025, landlords bought 40.7% of homes sold, and Q1 2026 transaction data shows landlords are aggressive net buyers while institutional firms have been net sellers for two years.
Landlord Owned Current Holdings
Investors own 22,493 SFRs in Monroe County, with individual landlords holding a dominant 89.6% share.
Cash-backed ownership is prevalent, with 13,900 properties owned outright compared to 8,593 that are financed. The portfolio is heavily focused on rentals, as 22,318 properties (99.2%) are classified as non-owner-occupied.
Landlord vs Traditional Homeowners
Monroe County landlords paid 2.1% less than homeowners in Q1 2026, a sharp reversal from paying premiums up to 19.3% in 2025.
This $7,160 average discount in Q1 2026 marks a significant shift in market dynamics. Throughout 2025, landlords consistently paid more than homeowners, with the premium peaking at $64,427 (19.3%) in Q2 2025.
Current Quarter Purchases
Landlords acquired 40.7% of all SFRs sold in Monroe County during Q4 2025, purchasing 243 homes.
Mom-and-pop landlords drove this activity, accounting for 95.9% (234 properties) of all investor purchases. In contrast, institutional investors with over 1,000 properties acquired just two homes, representing 0.8% of investor activity.
Ownership by Tier
Mom-and-pop landlords control 98.3% of investor-owned SFRs in Monroe County, nearly erasing institutional presence.
The market structure is extremely fragmented, with single-property landlords alone holding 86.3% of the entire investor portfolio (19,896 properties). Institutional investors with 1,000+ properties have a negligible footprint, controlling just 0.1% (19 properties).
Ownership by Tier & Type
In Monroe County, companies become the majority owners in portfolios of 6-10 properties, despite individuals dominating smaller tiers.
Individuals own 92.5% of single-property portfolios and 80.9% of two-property portfolios. However, the ownership structure flips at the 6-10 property tier, where companies control 65.8% of the homes, a share that grows to 82.9% for the 11-20 property tier.
Geographic Distribution
Investor activity in Monroe County is concentrated in zip codes 18466 (3,007 properties) and 18347 (2,791 properties).
However, the highest investor penetration rates are found elsewhere, with zip codes like 18342 reporting 100.0% investor ownership and 18352 at 90.3%. This highlights a clear distinction between areas with high volume and those with high saturation.
Historical Transactions
Landlords are aggressive net buyers in Monroe County, while institutional investors have been consistently selling off assets.
In Q1 2026, landlords acquired 317 properties and sold only 46, a nearly 7-to-1 buy-to-sell ratio. In contrast, institutional investors were net sellers in both 2025 (selling a net of 4 properties) and 2024 (selling a net of 18 properties).
Current Quarter Transactions
Landlords were involved in 39.9% of all Monroe County SFR transactions in Q1 2026, driven by small investors.
A vast pricing disparity exists by investor size: new single-property landlords paid an average of $342,165, while institutional buyers paid 44.9% less at $188,500. New landlords are primarily buying from homeowners, with only 9.0% of their purchases coming from other investors.

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Current Holdings Portfolio

Analysis of landlord property holdings by type, financing method, and owner category

Chart Section5 Holdings
Key Insight
Investors own 22,493 SFRs in Monroe County, with individual landlords holding a dominant 89.6% share.
Detailed Findings

Investors hold a significant stake in the Monroe County housing market, owning 22,493 single-family residential properties, which constitutes 33.6% of the total 67,004 SFRs in the area.

The ownership landscape is overwhelmingly dominated by individuals rather than corporations. Individual investors own 20,154 properties, accounting for 89.6% of the investor-owned portfolio, while companies own the remaining 11.0% (2,484 properties).

This granular structure is further evidenced by the number of active landlords, with 29,338 individual landlords compared to just 1,894 company entities. The high ratio of individual landlords to properties suggests a highly fragmented market with many small-scale operators.

In terms of financing, cash is the preferred method for holding assets. There are 13,900 cash-owned properties, significantly outnumbering the 8,593 properties that are financed. This indicates a well-capitalized investor base that is less reliant on leverage.

The portfolio's primary purpose is clear, with 22,318 of the 22,493 properties (99.2%) classified as rented. This demonstrates an almost exclusive focus on providing rental housing to the community rather than speculative holding.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Monroe County landlords paid 2.1% less than homeowners in Q1 2026, a sharp reversal from paying premiums up to 19.3% in 2025.
Detailed Findings

In Q1 2026, landlords in Monroe County acquired properties at an average price of $340,447, representing a 2.1% discount compared to traditional homeowners, who paid an average of $347,607. This resulted in an average savings of $7,160 per property for investors.

This discount marks a dramatic trend reversal from the previous year. Throughout 2025, landlords consistently outbid homeowners, paying significant premiums for properties. This pattern was most pronounced in Q2 2025, when landlords paid an average of $398,498, a 19.3% premium ($64,427) over the homeowner price of $334,071.

The shift from paying substantial premiums in 2025 to securing a discount in 2026 suggests a change in market conditions. This could reflect a cooling in buyer competition, a more disciplined acquisition strategy from investors, or a change in the type of properties being targeted.

The data from 2025 shows a consistent pattern of landlords paying more, including a 15.1% premium in Q1 ($49,028) and an 11.0% premium in Q3 ($36,300). The return to a landlord discount in Q1 2026 brings the market back to a more historically typical dynamic.

Chart Section6 Prices
Chart Section6 Prices Alt
Chart Section6 Trends
Chart Section6 Yoy Comparison

Current Quarter Purchase Summary

Analysis of Q1 2026 purchase activity by investor tier and type

Chart Section7 Purchases
Chart Section7 Tiers
Key Insight
Landlords acquired 40.7% of all SFRs sold in Monroe County during Q4 2025, purchasing 243 homes.
Detailed Findings

Investor activity accounted for a substantial portion of the Monroe County real estate market in Q4 2025, with landlords purchasing 243 of the 597 total SFRs sold, a market share of 40.7%.

The overwhelming majority of this purchasing activity came from small-scale investors. Mom-and-pop landlords (owning 1-10 properties) acquired 234 properties, which is 95.9% of all landlord purchases for the quarter.

First-time or single-property investors were the most significant force, with 278 new entities acquiring 211 properties. This tier alone represented 86.5% of all investor-bought homes, signaling a healthy influx of new participants into the rental market.

In stark contrast, institutional-level activity was minimal. Investors in the 1,000+ property tier purchased only two properties, making up less than 1% of the quarter's landlord acquisitions. This highlights a market driven by local, individual capital rather than large corporations.

The data clearly shows that the growth in Monroe County's rental stock is fueled by small landlords, with mid-size and institutional players having a nearly negligible impact on quarterly acquisition volumes.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords control 98.3% of investor-owned SFRs in Monroe County, nearly erasing institutional presence.
Detailed Findings

The investor-owned housing market in Monroe County is fundamentally controlled by small-scale operators. Mom-and-pop landlords, defined as those owning 1-10 properties, hold a combined 98.3% of all investor-owned SFRs.

Market ownership is highly concentrated at the smallest end of the spectrum. Landlords with just a single property (Tier 01) own 19,896 homes, which accounts for 86.3% of the entire investor portfolio. This underscores the grassroots nature of rental property ownership in the region.

Conversely, the presence of large-scale institutional investors is almost nonexistent. The cohort of investors owning 1,000 or more properties (Tier 09) controls only 19 homes in the entire county, a minuscule 0.1% of the investor-owned market.

The distribution across other tiers confirms this pattern. Mid-size landlords (11-1,000 properties) collectively own just 1.6% of the portfolio. This structure defies the common narrative of corporate consolidation in the rental market, at least within Monroe County.

This data reveals a market characterized by extreme fragmentation, where the typical landlord is an individual with a very small portfolio, often just one property.

Chart Section8 Distribution
Chart Section8 Prices
Chart Section8 Prices Q4
Chart Section8 Yoy Comparison

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Ownership by Tier & Owner Type

Breakdown of individual vs corporate ownership across portfolio tiers

Chart Section9 Ownership
Chart Section9 Growth
Chart Section9 Growth Q4
Chart Section9 Yoy Comparison
Key Insight
In Monroe County, companies become the majority owners in portfolios of 6-10 properties, despite individuals dominating smaller tiers.
Detailed Findings

A clear pattern emerges in Monroe County regarding ownership structure as investors scale their portfolios. While individuals dominate the market overall, companies are the preferred entity for larger holdings.

At the entry level, individual ownership is the standard. Individuals own 92.5% of all single-property investor holdings (18,513 properties) and 80.9% of two-property portfolios (1,031 properties).

The transition to corporate ownership begins as portfolios grow. The crossover point occurs in the 6-10 property tier, where companies own a 65.8% majority of the properties (194 homes).

This trend toward incorporation accelerates in larger tiers. For investors holding 11-20 properties, companies own 82.9% of the homes. This suggests that as investment levels increase, operators shift to corporate structures for liability protection and operational efficiency.

This bifurcation indicates a natural maturation process for investors in the market, starting as individuals and incorporating as their commitment and portfolio size expand.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity in Monroe County is concentrated in zip codes 18466 (3,007 properties) and 18347 (2,791 properties).
Detailed Findings

Geographic analysis of Monroe County reveals specific pockets of high investor concentration. By sheer volume, the top zip codes for investor-owned properties are 18466, with 3,007 properties, and 18347, with 2,791 properties.

The areas with the largest number of investor-owned homes are not necessarily the ones with the highest market penetration. The highest ownership *rates* are found in different, often smaller, zip codes. For instance, 100.0% of SFRs in 18342 are investor-owned, followed by 90.3% in 18352 and 90.0% in 18335.

This divergence between volume and rate leaders indicates different market dynamics. The high-volume areas like 18301 (2,099 properties) and 18350 (2,095 properties) are large rental markets, but the high-rate areas suggest entire neighborhoods may be predominantly composed of rental housing.

The data points to a targeted approach by investors, who have established a significant presence across several key zip codes, with some areas reaching what appears to be a saturation point for rental properties.

Understanding this distribution is key to analyzing the local housing market, as investor impact varies significantly from one neighborhood to the next.

Chart Section10 Top Regions
Chart Section10 Top Pct

Historical Transactions

Buy/sell transaction trends over time for all landlords and institutional investors

Chart Section11 Buysell
Chart Section11 Buysell Price
Chart Section11 Yoy All Landlords
Chart Section11 Institutional
Chart Section11 Institutional Price
Chart Section11 Yoy Institutional
Key Insight
Landlords are aggressive net buyers in Monroe County, while institutional investors have been consistently selling off assets.
Detailed Findings

Transaction data reveals a strong and sustained accumulation trend among the general landlord population in Monroe County. In the first quarter of 2026, landlords purchased 317 SFRs while selling only 46, making them decisive net buyers with a net gain of 271 properties.

This net buying behavior has been consistent over the past several years. In 2025, landlords added a net of 1,264 properties to their portfolios, and in 2024, they added a net of 1,430 properties.

A completely opposite trend is observed among institutional investors (1,000+ properties). This cohort has been actively divesting from the Monroe County market. They were net sellers in 2025, with 8 buys versus 12 sells, and even more so in 2024, with only 3 buys against 21 sells.

The minimal institutional activity in Q1 2026 (2 buys, 1 sell) does little to alter the long-term pattern of retreat. This strategic divergence is one of the most significant findings in the market: small investors are expanding while big capital is exiting.

This dynamic suggests that properties formerly held by large institutions are likely being absorbed by the growing base of local, mom-and-pop landlords who continue to see value and opportunity in the area.

Current Quarter Transactions

Q1 2026 transaction analysis by tier, price, and inter-landlord activity

Key Insight
Landlords were involved in 39.9% of all Monroe County SFR transactions in Q1 2026, driven by small investors.
Detailed Findings

In Q1 2026, landlords played a major role in the Monroe County market, participating in 317 of the 795 total transactions, for a market share of 39.9%.

Activity was heavily concentrated among smaller investors. Mom-and-pop landlords (Tiers 01-04) were responsible for 307 of the 317 landlord transactions, with new single-property buyers alone accounting for 278 of them.

A stark pricing difference between the smallest and largest investors reveals divergent acquisition strategies. Single-property buyers paid an average of $342,165 per home. In contrast, institutional investors paid just $188,500, a 44.9% discount, suggesting they target different asset classes, possibly distressed or bulk opportunities.

The source of inventory for new landlords is primarily the traditional market, not other investors. Only 9.0% of properties bought by single-property investors were purchased from another landlord, indicating a steady conversion of owner-occupied housing into the rental pool.

This transactional behavior reinforces the market's overall structure: a high-volume, grassroots investor base is expanding by acquiring properties from homeowners, while large institutions engage in low-volume, deeply discounted purchases.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Mom-and-pop landlords dominate Monroe County with 98.3% of investor properties as institutions retreat as net sellers.
Holdings
Landlords own 22,493 SFR properties, representing a significant 33.6% of Monroe County's market. The ownership is overwhelmingly individual, with 89.6% of properties held by individual investors compared to 11.0% by companies.
Pricing
In a sharp reversal from 2025, landlords secured a 2.1% discount compared to homeowners in Q1 2026, paying an average of $340,447 per property, or $7,160 less.
Activity
Investors were highly active in Q4 2025, purchasing 40.7% of all homes sold (243 properties), with 278 new single-property landlords entering the market.
Market Share
Small mom-and-pop landlords (1-10 properties) have near-total control of the market, owning 98.3% of all investor-held housing, while institutional investors own just 0.1%.
Ownership Type
Individual investors dominate smaller portfolios, but a clear shift occurs as portfolios scale, with companies becoming the majority owners in the 6-10 property tier.
Transactions
Landlords are aggressive net buyers with a 6.89x buy-to-sell ratio in Q1 2026 (317 buys vs 46 sells), while institutional investors have been net sellers over the past two years.
Market Narrative

The investor landscape in Monroe County, Pennsylvania, is defined by a high penetration rate and overwhelming control by small, individual operators. Investors own 22,493 single-family homes, or 33.6% of the county's total SFR stock. This market is overwhelmingly composed of individual investors, who own 89.6% of these properties. The narrative of a corporate takeover does not apply here; mom-and-pop landlords (1-10 properties) command a staggering 98.3% share, while large institutional firms own a mere 0.1%.

Investor behavior underscores this grassroots structure. In Q4 2025, landlords acquired 40.7% of all homes sold, with new, single-property investors driving the activity. Transaction data from Q1 2026 shows a market in a phase of aggressive accumulation, with landlords buying nearly seven properties for every one they sold. This expansion by small investors starkly contrasts with the actions of institutional capital, which has been steadily divesting from the market for the past two years, signaling a strategic retreat.

The data paints a clear picture of a market defined by local real estate investing, not corporate consolidation. The retreat of institutional capital alongside a surge in new mom-and-pop landlords suggests a transfer of assets from large, centralized firms to a broad base of smaller operators. This dynamic, combined with intense investor ownership rates in specific zip codes, solidifies Monroe County's character as a mature rental market sustained and grown by its own community of individual investors.

About This Report

Report Methodology

This report analyzes BatchData's Investor Pulse dataset, covering single-family residential (SFR) investor activity across the United States.

Data is extracted from 15 CSV files covering ownership, transactions, and pricing trends, then analyzed using AI-powered insights.

Property Counting Methodology:

Distinct Counts: All headline totals represent distinct properties. If 2+ landlords co-own the same property, it's counted only once. This provides accurate market representation.

Category Breakdowns: When analyzing by tier (01-09), owner type (Individual/Corporate), or occupancy status, properties with co-ownership across categories are counted once per category. This causes breakdowns to sum 2-4% higher than totals, and percentages may sum to 100-104%. This is expected and reflects co-ownership patterns.

Tier Properties Category
01-041-10Mom-and-Pop
05-0711-100Mid-Size
08101-1000Large
091000+Institutional
About BatchData

BatchData provides comprehensive real estate data and analytics, offering insights into property ownership, investor activity, and market trends across the United States.

The Investor Pulse dataset tracks single-family residential (SFR) investor behavior at national, state, county, and MSA levels.

For more information, visit batchdata.io or explore our API documentation.

Data Freshness
Report Generated July 22, 2026 at 01:52 AM
Data Period Q1 2026
Geography Level County
Geography Monroe (PA)
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Chart Section2 Coverage
Chart Section2 Coverage
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Chart Section3 Ownership Donut
Chart Section3 Ownership Donut
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Chart Section3 Ownership Bar
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Chart Section4 Distribution
Chart Section4 Distribution
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Chart Section5 Holdings
Chart Section5 Holdings
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Chart Section6 Prices
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Chart Section6 Prices Alt
Chart Section6 Prices Alt
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Chart Section6 Yoy Comparison
Chart Section6 Yoy Comparison
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Chart Section6 Trends
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Chart Section7 Purchases
Chart Section7 Purchases
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Chart Section7 Tiers
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Chart Section8 Distribution
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Chart Section8 Prices
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Chart Section8 Prices Q4
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Chart Section8 Prices 2020
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Chart Section8 Yoy Comparison
Chart Section8 Yoy Comparison
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Chart Section9 Ownership
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Chart Section9 Growth
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Chart Section9 Growth Q4
Chart Section9 Growth Q4
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Chart Section9 Yoy Comparison
Chart Section9 Yoy Comparison
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Chart Section10 Top Regions
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Chart Section10 Top Pct
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Chart Section11 Buysell
Chart Section11 Buysell
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Chart Section11 Buysell Price
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Chart Section11 Yoy All Landlords
Chart Section11 Yoy All Landlords
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Chart Section11 Institutional
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Chart Section11 Institutional Price
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Chart Section11 Yoy Institutional
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Chart Section12 Transactions
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Chart Section12 Prices
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Chart Section12 Prices Detail
Chart Section12 Prices Detail

Licensing & Usage Rights

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How to cite this report

BatchData. (2026). Q1 2026 Monroe (PA) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-pa-monroe/. Licensed under CC BY-NC-ND 4.0.