Jersey (IL) Investor Pulse Report (2026-Q1)

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

Market Overview

Total SFR Properties in Jersey (IL)
7,216
Total Investors in Jersey (IL)
480
Investor Owned SFR in Jersey (IL)
367(5.1%)
Individual Landlords
Landlords
427
SFR Owned
308
Corporate Landlords
Landlords
53
SFR Owned
66
Understanding Property Counts

Distinct Count Methodology: The total 367 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 Landlords Dominate Jersey County with 97% Ownership, Acquiring Properties at a 29% Discount
Investors own 367 single-family properties in Jersey County, representing 5.1% of the market. This portfolio is overwhelmingly controlled by individual 'mom-and-pop' landlords (97.0%), who in Q1 2026 purchased homes for 29.1% less than traditional homeowners. The market shows strong accumulation, with investors acting as aggressive net buyers with a 16-to-1 buy-to-sell ratio in the last quarter.
Landlord Owned Current Holdings
Investors own 367 SFRs in Jersey County, with individuals controlling 83.9% of the portfolio.
Cash is the preferred financing method, with 257 properties owned outright compared to 110 financed properties. The vast majority of the portfolio, 338 properties, are classified as rented, confirming a strong focus on rental income generation.
Landlord vs Traditional Homeowners
Landlords secured a 29.1% discount in Q1, paying $60,076 less than homeowners per property.
This price advantage for investors has been significant but volatile, ranging from a 56.5% discount in Q1 2025 to a 13.3% premium in Q2 2025. The most recent quarterly trend shows the discount widening in favor of investors.
Current Quarter Purchases
In Q4 2025, landlords acquired 27.7% of all single-family homes sold in Jersey County.
Mom-and-pop landlords drove this activity, accounting for 92.3% of all investor purchases. The most active segment was new and single-property investors, who made up 76.9% of acquisitions.
Ownership by Tier
Mom-and-pop investors control a commanding 97.0% of all landlord-owned SFRs in Jersey County.
Single-property landlords alone make up the largest segment, owning 78.2% of the entire investor portfolio. In contrast, institutional investors (1,000+ properties) have a negligible presence, owning just 0.5% of the portfolio.
Ownership by Tier & Type
Companies become the dominant owner type in portfolios of 6-10 properties, holding a 90.9% share.
This marks a clear crossover point from individual-led ownership, as individuals control 90.2% of single-property portfolios. Pricing data by owner type was not available for comparison.
Geographic Distribution
Investor activity is most concentrated in the 62052 zip code, with 176 properties owned by landlords.
However, the highest rate of investor ownership is in 62030, where landlords own 22.7% of the housing stock. The 62028 zip code is a notable hotspot, ranking second for both total count (32) and ownership rate (12.0%).
Historical Transactions
Landlords in Jersey County are aggressive net buyers, acquiring 16 properties for every 1 they sold in Q1 2026.
This trend of strong accumulation is consistent, with a 4.6-to-1 buy/sell ratio in 2025 and a 5.6-to-1 ratio in 2024. Transaction data for institutional investors was not available for comparison.
Current Quarter Transactions
Investors were involved in 23.9% of all Q1 2026 home sales, with institutional buyers paying 37.6% more than small landlords.
The vast majority of landlord activity (13 of 16 transactions) came from the single-property tier. These small investors primarily bought from homeowners, with only 7.7% of their purchases coming from other landlords.

Want deeper insights tailored to your investment strategy?

TALK TO AN EXPERT

Current Holdings Portfolio

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

Chart Section5 Holdings
Key Insight
Investors own 367 SFRs in Jersey County, with individuals controlling 83.9% of the portfolio.
Detailed Findings

In Jersey County, investors hold 367 single-family residential properties, which constitutes 5.1% of the total 7,216 SFRs in the market. This indicates a modest but established presence of real estate investing activity in the area.

The ownership structure is heavily skewed towards individuals over corporations. Individual landlords own 308 properties, accounting for 83.9% of the investor-owned portfolio, while companies own the remaining 66 properties (18.0%).

A similar pattern is seen in the number of landlord entities, where 427 of the 480 total landlords are individuals (89.0%). This highlights that the local rental market is supported primarily by small, independent operators rather than large corporations.

When analyzing financing, cash transactions are significantly more common than leveraging debt. Investors own 257 properties with cash, more than double the 110 properties that are financed. This suggests a conservative, low-leverage approach to acquisitions in the county.

The portfolio is clearly income-focused, with 338 of the 367 properties (92.1%) identified as rented. This high rental penetration rate underscores the primary strategy of investors in the Jersey County market is to hold properties for long-term rental income.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords secured a 29.1% discount in Q1, paying $60,076 less than homeowners per property.
Detailed Findings

Investors in Jersey County demonstrate a consistent ability to acquire properties at a lower cost than traditional homeowners. In the first quarter of 2026, landlords paid an average of $146,216, which is $60,076 (or 29.1%) less than the homeowner average of $206,292.

The price gap between landlords and homeowners has shown significant volatility over the past year. While landlords secured a massive 56.5% discount in Q1 2025, they anomalously paid a 13.3% premium in Q2 2025, suggesting a temporary shift in market dynamics or acquisition strategy.

Despite the fluctuations, the prevailing trend is a strong purchasing advantage for investors. The discount recovered to 25.7% in Q3 2025 and widened further to 29.1% in the most recent quarter, indicating a return to favorable buying conditions for landlords.

Comparing prices over longer timeframes, the average landlord acquisition price has risen from $127,842 in the 2020-2023 period to $157,942 in 2024, signaling significant market appreciation. The pricing data shows that investors are adept at navigating market conditions to find value.

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
In Q4 2025, landlords acquired 27.7% of all single-family homes sold in Jersey County.
Detailed Findings

Landlord purchasing activity constituted a significant portion of the Q4 2025 market, with investors buying 13 of the 47 total SFRs sold, capturing a 27.7% market share.

The acquisition landscape is dominated by small-scale investors. Mom-and-pop landlords (owning 1-10 properties) were responsible for 12 of the 13 investor purchases (92.3%), reinforcing their role as the primary drivers of market activity.

New entrants and first-time landlords were the most active group. The single-property tier alone accounted for 10 acquisitions (76.9%), indicating a healthy influx of new investors into the Jersey County rental market.

In stark contrast, institutional investors with portfolios of 1,000 or more properties had a minimal impact, acquiring only a single property during the quarter. This highlights a market environment that favors local, smaller-scale investment strategies.

The data from 13 purchasing entities acquiring 10 single-property tier homes suggests many of these transactions represent the formation of new landlord portfolios, signaling sustained interest in the local market.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop investors control a commanding 97.0% of all landlord-owned SFRs in Jersey County.
Detailed Findings

The investor landscape in Jersey County is definitively shaped by small-scale landlords. Mom-and-pop investors, defined as those owning 1-10 properties, control 97.0% of the entire investor-owned single-family housing stock.

The market's foundation is built on single-property landlords, who own 291 properties. This single tier accounts for 78.2% of all investor-held SFRs, demonstrating that the typical investor is a local individual with a small portfolio.

The narrative of large corporate landlords is absent in this market. Institutional investors (Tier 09) own just two properties, representing a mere 0.5% share. This starkly contrasts with national headlines and shows a market dominated by local capital.

Portfolio sizes drop off rapidly after the first tier. Landlords with two properties hold a 5.1% share, and those with 3-5 properties hold 10.8%. This distribution confirms a highly fragmented ownership base with very few mid-size or large operators.

This ownership structure suggests a stable, community-integrated rental market rather than one influenced by large, remote institutional strategies. Analyzing such specific property datasets helps clarify local market dynamics.

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

Need custom portfolio analysis based on these tier insights?

TALK TO AN EXPERT

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
Companies become the dominant owner type in portfolios of 6-10 properties, holding a 90.9% share.
Detailed Findings

A distinct pattern emerges when analyzing ownership by entity type across portfolio sizes. Individual investors are the foundation of the market, owning 266 properties (90.2%) in the single-property tier.

The transition to a corporate structure becomes apparent as portfolios grow. While individuals still hold the majority in the 3-5 property tier (67.5%), companies have already established a significant 32.5% share.

A definitive crossover occurs in the 6-10 property tier, where companies become the dominant entity, owning 10 properties for a 90.9% share. This suggests that as investors scale their operations beyond five homes, they increasingly adopt a formal business structure.

This trend highlights a professionalization curve within the local market. Small-scale investing is typically done by individuals, but growth and portfolio expansion correlate strongly with incorporation for legal and financial purposes.

The single property held in the 51-100 tier is owned by an individual, an outlier that underscores the overall scarcity of mid-size portfolios in the county.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is most concentrated in the 62052 zip code, with 176 properties owned by landlords.
Detailed Findings

Geographic analysis reveals distinct pockets of investor concentration in Jersey County. The 62052 zip code is the epicenter of activity by sheer volume, containing 176 investor-owned homes, which is 48.0% of the county's total investor portfolio.

A different story is told by ownership rates. The 62030 zip code has the highest investor penetration, with 22.7% of its single-family homes owned by landlords. This indicates a highly targeted strategy in a smaller market.

This divergence between high-volume and high-penetration areas highlights different investment strategies. One approach targets scale in a larger area (62052, with a 4.1% rate), while the other focuses on market dominance in a smaller one (62030).

The 62028 zip code stands out as a strong all-around investment hub. It ranks second for both the number of investor-owned properties (32) and the investor ownership rate (12.0%), making it a key area of interest.

Conversely, some areas like 62012 have a notable number of investor properties (30) but a low ownership rate (3.1%), mirroring the pattern seen in the top zip code, 62052.

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
Key Insight
Landlords in Jersey County are aggressive net buyers, acquiring 16 properties for every 1 they sold in Q1 2026.
Detailed Findings

Historical transaction data reveals a clear and sustained trend of portfolio growth among landlords in Jersey County. Investors are consistently and aggressively acting as net buyers, indicating strong confidence in the local market.

The first quarter of 2026 saw a dramatic acceleration of this trend, with landlords purchasing 16 properties while selling only one. This 16-to-1 buy/sell ratio signals a period of rapid accumulation.

This behavior is not a recent anomaly. In 2025, investors bought 105 homes and sold just 23 (a 4.6x ratio), and in 2024, they purchased 78 while selling 14 (a 5.6x ratio). This multi-year pattern underscores a long-term acquisition strategy.

The consistent net buying activity suggests that investors are finding favorable conditions and opportunities for expansion, contributing to the tightening of available for-sale inventory for traditional homebuyers.

While data specific to institutional investors is unavailable, the overall market movement is unequivocally toward expansion, driven by the cumulative activity of the county's numerous small-scale landlords.

Current Quarter Transactions

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

Key Insight
Investors were involved in 23.9% of all Q1 2026 home sales, with institutional buyers paying 37.6% more than small landlords.
Detailed Findings

In Q1 2026, landlords played a substantial role in the market, participating in 16 of the 67 total SFR transactions, which translates to a 23.9% market share.

A significant price gap emerged between different types of investors. The institutional buyer in the market paid an average of $146,247, a 37.6% premium over the $106,250 average paid by single-property landlords. This may reflect different asset targets or less aggressive negotiation tactics.

Activity was heavily concentrated at the smallest end of the investor spectrum. Landlords in the single-property tier were responsible for 13 of the 16 investor transactions (81.3%), reaffirming that new and small investors are the most active buyers.

The data also reveals where new investors are sourcing their properties. Only one of the 13 purchases made by single-property landlords (7.7%) was from another landlord, indicating they are overwhelmingly acquiring homes from the traditional homeowner market.

In contrast, the two-property tier investor paid a much higher average price of $386,000, suggesting a focus on a completely different segment of the market or a statistical anomaly due to low transaction volume.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

Ready to leverage this data for your real estate investment decisions?

TALK TO AN EXPERT

Executive Summary

Mom-and-pop investors dominate Jersey County's rental market with 97% ownership and are rapidly expanding portfolios
Holdings
Landlords own 367 SFR properties in Jersey County, representing 5.1% of the total market. The portfolio is overwhelmingly held by individual investors, who own 308 properties (83.9%) compared to 66 properties (18.0%) owned by companies.
Pricing
In Q1 2026, landlords acquired properties at a significant 29.1% discount compared to traditional homeowners, paying an average of $146,216 versus the homeowner price of $206,292, a savings of $60,076 per home.
Activity
Investors purchased 27.7% of all homes sold in the most recent quarter of activity (Q4 2025). This was driven by small investors, with single-property landlords accounting for 10 of the 13 investor purchases.
Market Share
Small 'mom-and-pop' landlords (1-10 properties) control 97.0% of all investor-owned housing in the county. In contrast, institutional investors (1000+ properties) have a minimal footprint, owning just 0.5% of the portfolio.
Ownership Type
Individual investors are the primary owners in smaller portfolios, but companies become the majority owners in the 6-10 property tier, controlling 90.9% of homes in that segment.
Transactions
Landlords are aggressive net buyers with a 16-to-1 buy-to-sell ratio in Q1 2026 (16 buys vs 1 sell), a clear indication of portfolio expansion across the county.
Market Narrative

In Jersey County, the single-family rental market is fundamentally a local, small-investor enterprise. Landlords own 367 SFR properties, making up 5.1% of the county's housing stock. This market is not driven by Wall Street, but by individuals, who own 83.9% of the investor portfolio. An overwhelming 97.0% of these properties are controlled by 'mom-and-pop' landlords with 1-10 homes, while large institutional investors have a negligible presence with just a 0.5% share. This structure points to a highly fragmented and community-based rental landscape.

Investor behavior in Jersey County is characterized by savvy acquisitions and aggressive growth. In Q1 2026, landlords demonstrated a powerful purchasing advantage, acquiring homes at a 29.1% discount compared to traditional buyers. This financial edge fuels their expansion, as evidenced by their role as strong net buyers, purchasing 16 properties for every one they sold in the quarter. The primary engine of this growth is new and first-time landlords, who dominated recent purchasing activity, suggesting a continuous influx of local capital into the rental market.

The key takeaway from this Investor Pulse report is that the Jersey County market defies the national narrative of corporate dominance. It is a market defined by the steady accumulation of properties by small, independent operators who are adept at finding value. This dynamic suggests a stable rental market but also indicates that traditional homebuyers face stiff, financially-advantaged competition from a growing class of local investors who are actively expanding their holdings.

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 21, 2026 at 04:08 PM
Data Period Q1 2026
Geography Level County
Geography Jersey (IL)
×
Chart Section2 Coverage
Chart Section2 Coverage
×
Chart Section3 Ownership Donut
Chart Section3 Ownership Donut
×
Chart Section3 Ownership Bar
Chart Section3 Ownership Bar
×
Chart Section4 Distribution
Chart Section4 Distribution
×
Chart Section5 Holdings
Chart Section5 Holdings
×
Chart Section6 Prices
Chart Section6 Prices
×
Chart Section6 Prices Alt
Chart Section6 Prices Alt
×
Chart Section6 Yoy Comparison
Chart Section6 Yoy Comparison
×
Chart Section6 Trends
Chart Section6 Trends
×
Chart Section7 Purchases
Chart Section7 Purchases
×
Chart Section7 Tiers
Chart Section7 Tiers
×
Chart Section8 Distribution
Chart Section8 Distribution
×
Chart Section8 Prices
Chart Section8 Prices
×
Chart Section8 Prices Q4
Chart Section8 Prices Q4
×
Chart Section8 Prices 2020
Chart Section8 Prices 2020
×
Chart Section8 Yoy Comparison
Chart Section8 Yoy Comparison
×
Chart Section9 Ownership
Chart Section9 Ownership
×
Chart Section9 Growth
Chart Section9 Growth
×
Chart Section9 Growth Q4
Chart Section9 Growth Q4
×
Chart Section9 Yoy Comparison
Chart Section9 Yoy Comparison
×
Chart Section10 Top Regions
Chart Section10 Top Regions
×
Chart Section10 Top Pct
Chart Section10 Top Pct
×
Chart Section11 Buysell
Chart Section11 Buysell
×
Chart Section11 Buysell Price
Chart Section11 Buysell Price
×
Chart Section11 Yoy All Landlords
Chart Section11 Yoy All Landlords
×
Chart Section12 Transactions
Chart Section12 Transactions
×
Chart Section12 Prices
Chart Section12 Prices
×
Chart Section12 Prices Detail
Chart Section12 Prices Detail

Licensing & Usage Rights

This report, data, and all visual analyses are the property of BatchData © 2026 BatchService, Inc. and are licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0).

You MAY: Download, share, or excerpt this content for personal or non-commercial purposes, provided you give clear attribution to BatchData with a link back to this original page.

You MAY NOT: Use this data commercially, resell or redistribute it as your own, or publish modified versions.

For commercial licensing: batchdata.io/contact-sales

Creative Commons BY-NC-ND 4.0 - creativecommons.org/licenses/by-nc-nd/4.0/

How to cite this report

BatchData. (2026). Q1 2026 Jersey (IL) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-il-jersey/. Licensed under CC BY-NC-ND 4.0.