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

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

Market Overview

Total SFR Properties in Clinton (IL)
12,465
Total Investors in Clinton (IL)
2,128
Investor Owned SFR in Clinton (IL)
1,904(15.3%)
Individual Landlords
Landlords
1,879
SFR Owned
1,578
Corporate Landlords
Landlords
249
SFR Owned
375
Understanding Property Counts

Distinct Count Methodology: The total 1,904 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 Dominate 94% of Clinton County's SFR Market, Actively Buying at a Discount
Landlords own 1,904 single-family properties in Clinton County, representing 15.3% of the total market. This ownership is overwhelmingly concentrated among small investors (1-10 properties), who control 93.6% of the portfolio, while institutional firms own just 0.1%. In Q1 2026, landlords continued to expand their holdings, purchasing properties at an 18.9% discount compared to traditional homeowners and maintaining a strong 6.4x buy-to-sell ratio.
Landlord Owned Current Holdings
Investors own 1,904 SFR properties in Clinton County, with individual landlords holding a dominant 82.9%.
Cash is the primary funding source, with 1,360 properties (71.4%) owned outright versus 544 financed. The portfolio is heavily rental-focused, as 1,834 properties, or 96.3% of all investor-owned homes, are rented.
Landlord vs Traditional Homeowners
Landlords in Clinton County paid 18.9% less than homeowners in Q1 2026, an average discount of $42,711 per property.
The landlord purchasing discount has narrowed significantly, down from a high of 51.9% in Q3 2025. Meanwhile, acquisition prices are climbing, with the average landlord purchase price jumping from $138,324 in 2025 to $183,333 in Q1 2026.
Current Quarter Purchases
Landlords acquired 23.1% of all SFR properties sold in Clinton County during Q4 2025, purchasing 25 homes.
Small 'mom-and-pop' landlords were the only active buyers, accounting for 100% of investor purchases. New, single-property investors dominated this activity, buying 22 of the 25 properties (88.0%) acquired by landlords.
Ownership by Tier
Mom-and-pop landlords control a staggering 93.6% of all investor-owned homes in Clinton County.
Institutional investors with over 1,000 properties have a negligible footprint, owning just 3 homes, or 0.1% of the local investor portfolio. The single-property landlord is the largest ownership bloc, holding 1,237 properties (60.4%).
Ownership by Tier & Type
Companies become the majority owners only in portfolios larger than 50 properties, controlling 83.3% of that tier.
Individual landlords are overwhelmingly dominant in smaller portfolios, owning 87.1% of all single-property holdings and nearly 75% of portfolios with 3-5 properties. The provided data does not include a price comparison between individual and company buyers.
Geographic Distribution
Investor activity in Clinton County is heavily concentrated in zip code 62231, which contains 612 investor-owned properties.
Certain smaller zip codes show extreme investor penetration rates, with 62252 at 50.0% and 62253 at 30.9% investor ownership. The area with the highest property count (62231) is distinct from the areas with the highest ownership rates.
Historical Transactions
Landlords in Clinton County are aggressive net buyers, acquiring 6.4 properties for every one they sold in Q1 2026.
This strong net-buying trend is historically consistent, with a 6.2x buy/sell ratio in 2025 and 7.7x in 2024. In stark contrast, institutional investors were effectively neutral in 2025, with one purchase and one sale.
Current Quarter Transactions
Landlords were involved in 20.3% of all SFR transactions in Q1 2026, executing 32 purchases.
New single-property investors drove this activity, accounting for 28 of the 32 landlord transactions. These small investors paid the highest price at an average of $189,833 and sourced 10.7% of their properties 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 1,904 SFR properties in Clinton County, with individual landlords holding a dominant 82.9%.
Detailed Findings

The investor-owned single-family residential market in Clinton County consists of 1,904 properties, accounting for 15.3% of the 12,465 total SFRs. This signifies a notable, but not dominant, investor presence in the local housing landscape.

Ownership is overwhelmingly skewed towards individuals over corporations. Individual landlords own 1,578 properties (82.9% of the investor portfolio), while companies own just 375 properties (19.7%). This structure highlights a market driven by local entrepreneurs and small-scale real estate investing rather than large corporate entities.

Analysis of funding methods reveals a strong preference for cash transactions. A significant 71.4% of the investor portfolio (1,360 properties) is owned free and clear, compared to only 28.6% (544 properties) that are financed. This suggests a well-capitalized investor base that can move quickly on opportunities without relying on traditional lending.

The primary use for these properties is clear: 1,834 homes, or 96.3% of the investor portfolio, are classified as rented. This near-total focus on rental income underscores the role these investors play in supplying housing to the local rental market.

The entity breakdown mirrors the property ownership split, with 1,879 individual landlords compared to 249 company landlords. This ratio of nearly 7.5 individual investors for every one company reinforces the mom-and-pop character of Clinton County's rental market.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords in Clinton County paid 18.9% less than homeowners in Q1 2026, an average discount of $42,711 per property.
Detailed Findings

In Q1 2026, investors demonstrated a distinct pricing advantage, acquiring properties for an average of $183,333. This was $42,711, or 18.9%, below the $226,044 average paid by traditional homeowners, showcasing a consistent ability to find and secure deals below the typical market rate.

However, this pricing advantage is tightening. The 18.9% discount in Q1 2026 represents a significant narrowing from previous quarters. For comparison, landlords achieved a massive 51.9% discount in Q3 2025 ($127,069 vs $264,361) and a 44.2% discount in Q2 2025 ($139,286 vs $249,776).

Acquisition prices are on a sharp upward trend for investors. The Q1 2026 average of $183,333 is a substantial increase from the 2025 yearly average of $138,324 and the 2020-2023 pandemic-era average of $114,684. This reflects both broader market appreciation and potentially increased competition for investment properties.

The consistent ability of landlords to pay less than homeowners, even as the gap narrows, points to sophisticated acquisition strategies. These may include targeting off-market properties, purchasing distressed homes, or leveraging cash offers for a stronger negotiating position.

The combination of a shrinking discount and rising prices suggests that while investment opportunities remain, the market is becoming more competitive. Investors must now pay more to acquire assets, even though they still maintain a notable pricing edge over the average homebuyer.

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 23.1% of all SFR properties sold in Clinton County during Q4 2025, purchasing 25 homes.
Detailed Findings

During Q4 2025, landlords played a significant role in the market, purchasing 25 of the 108 total SFRs sold, capturing a 23.1% market share of all acquisitions. This level of activity highlights investors as a primary source of demand in the local housing ecosystem.

The acquisition activity was exclusively driven by small-scale investors. Mom-and-pop landlords (owning 1-10 properties) accounted for 100% of all investor purchases, with zero activity recorded from mid-size or institutional tiers.

First-time or early-stage investors were the most powerful force in the market. The single-property (Tier 01) segment alone bought 22 properties, which represents 88.0% of all landlord acquisitions for the quarter. This influx of new capital is a key driver of market dynamics.

The data shows 28 distinct entities were involved in the 22 single-property tier purchases, suggesting some properties were acquired through partnerships or co-ownership arrangements, a common strategy for new investors pooling capital.

The complete absence of institutional buyers (Tier 09) in Q4 acquisitions reinforces that the growth in Clinton County's rental stock is a grassroots phenomenon, driven by local individuals and small businesses rather than large, remote corporations.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords control a staggering 93.6% of all investor-owned homes in Clinton County.
Detailed Findings

The ownership structure of investor properties in Clinton County is overwhelmingly dominated by small-scale operators. Landlords in the 'mom-and-pop' category (owning 1-10 properties) collectively hold 93.6% of all investor-owned SFRs, cementing their role as the backbone of the local rental market.

In stark contrast, institutional investors (1,000+ properties) have a virtually non-existent presence, controlling a mere 3 properties, which translates to just 0.1% of the total investor portfolio. This finding challenges the common narrative of large corporations dominating residential housing markets.

The single-property landlord tier is the most significant segment by a wide margin. These 1,237 properties represent 60.4% of all investor holdings, indicating that the majority of landlords are individuals who have invested in a single rental home.

As portfolio sizes increase, the number of properties drops off dramatically. The mid-size tiers (11-100 properties) collectively own only 5.9% of the portfolio, further illustrating the market's concentration at the smallest scale.

This distribution, captured in detailed assessor data, shows a highly fragmented and decentralized ownership landscape. Policy and market analysis should focus on the behavior of these small landlords, as their decisions have the most substantial impact on the local rental housing supply.

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 majority owners only in portfolios larger than 50 properties, controlling 83.3% of that tier.
Detailed Findings

Individual investors form the foundation of property ownership across nearly all portfolio sizes in Clinton County. They own 87.1% of properties in the single-property tier and maintain a strong majority through the small and mid-size tiers.

A clear crossover point emerges in larger portfolios. While individuals control the majority of properties in tiers up to 50 units, companies become the dominant owner type in the 51-100 property tier, holding 5 of the 6 properties (83.3%). This indicates a threshold where professionalization and corporate structuring become more common.

Even in the small landlord tiers (3-10 properties), where one might expect more business formalization, individuals still own roughly two-thirds of the properties. For example, in the 6-10 property tier, individuals own 81 homes (66.9%) compared to 40 for companies (33.1%).

This pattern suggests that the path for most investors in Clinton County is to grow as an individual owner or small family-run business. The transition to a corporate-dominated model only occurs at a scale achieved by a very small fraction of the market.

The prevalence of individual ownership across the most common tiers (1-10 properties) reinforces the local, community-based nature of the rental market. The majority of tenants are renting from an individual landlord, not a large, faceless corporation.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity in Clinton County is heavily concentrated in zip code 62231, which contains 612 investor-owned properties.
Detailed Findings

Geographic analysis reveals a clear hub of investor ownership in Clinton County. The zip code 62231 is the epicenter, containing 612 investor-owned SFRs, which is more than the next four zip codes combined and represents a significant 22.7% ownership rate within its boundaries.

While 62231 leads in sheer volume, other zip codes exhibit far higher saturation rates. Notably, 62252 shows an investor ownership rate of 50.0%, meaning one of every two SFRs is investor-owned. Similarly, 62253 has a 30.9% rate, and 62219 has a 24.9% rate, indicating pockets of intense investor focus.

This highlights a key distinction between volume and concentration. The areas with the largest number of rentals are not necessarily the same as those with the highest percentage of rentals. This pattern can inform different investment strategies, from targeting high-volume areas to specializing in highly saturated micro-markets.

The top five zip codes by property count (62231, 62230, 62216, 62219, and 62215) collectively hold 1,109 properties, representing 58.2% of all investor-owned SFRs in the county. This demonstrates a notable geographic consolidation of rental housing stock.

Conversely, some areas like 62246 and 62258 show no investor-owned properties, signaling markets that may be either undesirable for rentals or untapped opportunities for future investment.

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
Key Insight
Landlords in Clinton County are aggressive net buyers, acquiring 6.4 properties for every one they sold in Q1 2026.
Detailed Findings

Transactional data shows that landlords in Clinton County are in a phase of aggressive accumulation. In Q1 2026, they purchased 32 properties while only selling 5, resulting in a net gain of 27 properties and a buy-to-sell ratio of 6.4x.

This behavior is not a recent development but a consistent, multi-year trend. In 2025, landlords maintained a 6.2x ratio (124 buys vs. 20 sells), and in 2024, the ratio was even higher at 7.7x (138 buys vs. 18 sells). This sustained activity demonstrates strong confidence in the local market.

The behavior of institutional investors (1,000+ properties) provides a sharp contrast to the overall market. In 2025, this tier was perfectly neutral, with one purchase and one sale. This lack of accumulation indicates that the market's growth is entirely fueled by smaller-scale investors.

The persistent net-buying activity signals a tightening of the rental supply, as more properties are acquired and held for rental income rather than being sold to owner-occupiers. This trend has long-term implications for housing affordability and availability in the county.

The data underscores a clear divergence in strategy: while small and mid-size local landlords are doubling down on their investments in Clinton County, the largest national players are effectively on the sidelines.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 20.3% of all SFR transactions in Q1 2026, executing 32 purchases.
Detailed Findings

In the first quarter of 2026, investors were a formidable presence in the transaction market, participating in 32 of the 158 total SFR sales. This activity gives landlords a 20.3% share of all transactions, affirming their role as a consistent source of market liquidity and demand.

The vast majority of this activity originated from the smallest investors. The single-property tier was responsible for 28 of the 32 landlord transactions (87.5%), showing that new market entrants are the primary drivers of investor purchasing volume.

Interestingly, these new, smaller investors paid a premium compared to their more established counterparts. The average purchase price for the single-property tier was $189,833. This was significantly higher than the $137,833 average paid by landlords in the 6-10 property tier, suggesting new buyers may be less experienced in securing deep discounts.

A portion of the market is characterized by inter-landlord trading. Among the single-property tier buyers, 10.7% (3 of 28) of their purchases were acquired from other landlords. This indicates a healthy level of churn where existing rental properties are traded between investors.

No transactions were recorded for institutional investors, reinforcing that the transactional market, like the ownership landscape, is a space dominated entirely by mom-and-pop operators growing their portfolios one property at a time.

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 landlords control 93.6% of Clinton County's investor market and continue as strong net buyers.
Holdings
Landlords own 1,904 SFR properties in Clinton County, IL (15.3% of the market), with individual investors holding 1,578 (82.9%) of these homes compared to 375 (19.7%) owned by companies.
Pricing
In Q1 2026, landlords paid an average of $183,333, securing an 18.9% discount compared to traditional homeowners, which translates to a savings of $42,711 per property.
Activity
Landlords acquired 23.1% of all properties sold in Q4 2025, an effort led by new investors who accounted for 22 of the 25 properties purchased by single-property landlords.
Market Share
The investor market is defined by small operators, as mom-and-pop landlords (1-10 properties) control 93.6% of investor housing, while institutional firms own a mere 0.1%.
Ownership Type
Individual investors own the vast majority of smaller portfolios, with companies only becoming the majority owners in the 51-100 property tier.
Transactions
Landlords are strong net buyers with a 6.4x buy-to-sell ratio in Q1 2026 (32 buys vs 5 sells), while institutional investors remained on the sidelines with a neutral position in 2025.
Market Narrative

The investor landscape in Clinton County, IL is fundamentally a story of local, small-scale enterprise, a key finding from this Investor Pulse report. Landlords own 1,904 single-family homes, comprising 15.3% of the total market. Ownership is dominated by individuals, who hold 82.9% of these properties. The market structure heavily favors 'mom-and-pop' investors (1-10 properties), who control a staggering 93.6% of the investor-owned housing stock, leaving a negligible 0.1% for large institutional firms. This composition indicates a decentralized market deeply embedded in the local community rather than one influenced by national corporate interests.

Investor behavior is characterized by strategic acquisitions and consistent growth. In Q1 2026, landlords demonstrated a significant pricing advantage, purchasing homes at an 18.9% discount compared to traditional buyers. This activity is part of a sustained accumulation trend; landlords are aggressive net buyers, acquiring 6.4 properties for every one they sold in the quarter. This expansion is fueled almost exclusively by new and small investors, with the single-property tier accounting for the vast majority of recent purchases, while large institutions remain entirely inactive in the market.

The key takeaway for the Clinton County housing market is that its stability and the dynamics of its rental supply are intrinsically linked to the financial health and strategic decisions of thousands of small, local landlords. The narrative of 'Wall Street' buying up homes does not apply here. Instead, the market is shaped by a continuous influx of new entrepreneurs entering the rental space, consistently expanding their portfolios, and capitalizing on their ability to acquire properties more efficiently than the average homebuyer. This grassroots activity defines the present and future of real estate investment in the region.

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 03:26 PM
Data Period Q1 2026
Geography Level County
Geography Clinton (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 Section11 Institutional
Chart Section11 Institutional
×
Chart Section11 Institutional Price
Chart Section11 Institutional Price
×
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 Clinton (IL) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-il-clinton/. Licensed under CC BY-NC-ND 4.0.