Bergen (NJ) Investor Pulse Report (2025-Q4)

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

Market Overview

Total SFR Properties in Bergen (NJ)
245,093
Total Investors in Bergen (NJ)
48,043
Investor Owned SFR in Bergen (NJ)
37,765(15.4%)
Individual Landlords
Landlords
43,130
SFR Owned
32,087
Corporate Landlords
Landlords
4,913
SFR Owned
6,074
Understanding Property Counts

Distinct Count Methodology: The total 37,765 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 Bergen County with 98% Market Share as Institutions Divest
Investors own 37,765 Single-Family Residential properties in Bergen County, NJ (15.4% of the market), with small mom-and-pop landlords controlling an overwhelming 98.0% of this portfolio versus a mere 0.1% for institutional firms. In Q4, landlords purchased 18.0% of all homes sold, paying 18.7% less than traditional homeowners, while institutional investors continued to be net sellers, offloading their assets.
Landlord Owned Current Holdings
Investors own 37,765 properties in Bergen County, with individual landlords holding 85.0% of the portfolio.
Of these holdings, 23,200 were purchased with cash, significantly outnumbering the 14,565 that are financed. The portfolio is heavily focused on rentals, with 36,649 properties (97.0%) classified as non-owner-occupied.
Landlord vs Traditional Homeowners
In Q4, landlords purchased properties for 18.7% less than traditional homeowners, a discount of $172,284.
This significant pricing advantage for landlords has been consistent throughout 2025, with discounts ranging from 16.9% to 22.0%. The average landlord acquisition price has risen from $602,575 during the 2020-2023 period to $748,032 in Q4 2025.
Current Quarter Purchases
Landlords acquired 18.0% of all Single-Family Residential properties sold in Q4, totaling 254 purchases.
Mom-and-pop landlords (1-10 properties) dominated this activity, accounting for 96.2% of all investor purchases. In contrast, institutional investors with over 1,000 properties made zero acquisitions this quarter.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control a commanding 98.0% of Bergen County's investor-owned housing.
In stark contrast, institutional investors with 1,000+ properties own just 0.1% of the portfolio, or 22 properties. The most common investor is the single-property landlord, a group that owns 28,940 properties, representing 73.7% of all investor-owned SFRs.
Ownership by Tier & Type
Companies assume majority ownership in portfolios of 6-10 properties, controlling 56.1% of that tier.
While individuals own 86.2% of single-property portfolios, their share drops as portfolio size increases, with companies owning over 70% in the 11-50 property tiers. The crossover point where companies become dominant is in the 6-10 property tier.
Geographic Distribution
Investor activity in Bergen County is highly concentrated, with zip code 07410 alone holding 8,569 investor properties.
This single zip code, 07410, also has one of the highest investor penetration rates at 48.4%. Another area of high concentration is zip code 07650, where investors own 41.9% of the SFR housing stock.
Historical Transactions
Landlords in Bergen County are aggressive net buyers, acquiring 3.96 properties for every one they sold in Q4 2025.
This strong accumulation trend has been consistent, with landlords purchasing 1,823 properties while selling only 483 in 2025. In stark contrast, institutional investors (1,000+ tier) are net sellers, having sold 22 properties and bought only 3 in 2025.
Current Quarter Transactions
Landlords participated in 15.0% of all market transactions in Q4, with an overwhelming focus on smaller investors.
Mom-and-pop landlords (1-10 properties) conducted 327 of the 337 total landlord transactions. A clear price divergence exists, with new single-property investors paying $732,148 on average, while large investors (101-1000 tier) paid only $464,470.

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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 37,765 properties in Bergen County, with individual landlords holding 85.0% of the portfolio.
Detailed Findings

The investor-owned Single-Family Residential (SFR) market in Bergen County, NJ consists of 37,765 properties, representing 15.4% of the total 245,093 SFRs in the area.

Individual investors are the definitive backbone of the local rental market, owning 32,087 properties, which accounts for 85.0% of all investor-owned SFRs. In contrast, company-owned properties number 6,074, making up the remaining 16.1%.

This individual dominance is also reflected in entity counts, with 43,130 individual landlords compared to just 4,913 company landlords. This disparity reveals that individual investors typically manage much smaller portfolios than their corporate counterparts.

A strong indicator of market stability and investor liquidity is the preference for cash transactions. Cash-owned properties (23,200) surpass financed properties (14,565), suggesting that a majority of the investor portfolio is held without mortgage debt.

The vast majority of the portfolio is actively used for rental income, with 36,649 properties, or 97.0% of all investor-owned SFRs, being non-owner-occupied. This highlights a clear and focused strategy on generating rental revenue across the investor landscape.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
In Q4, landlords purchased properties for 18.7% less than traditional homeowners, a discount of $172,284.
Detailed Findings

Investors in Bergen County consistently purchase properties at a significant discount compared to traditional homeowners. In Q4 2025, landlords paid an average of $748,032, which is $172,284 (or 18.7%) less than the $920,316 paid by homeowners.

This price advantage is not an anomaly but a persistent trend. Throughout 2025, the discount remained substantial, peaking in Q2 at 22.0% ($215,287) and remaining robust in Q3 at 16.9% ($159,339). This pattern suggests a systematic ability among investors to identify undervalued assets or negotiate more effectively.

The data also reveals significant price appreciation in the market. The average acquisition price for landlords in Q4 2025 ($748,032) is 24.1% higher than the average price paid during the 2020-2023 pandemic-era boom ($602,575), signaling strong market growth.

While acquisition prices have climbed, the persistent gap between what landlords and homeowners pay indicates two distinct purchasing strategies coexisting in the same market. Homeowners may prioritize specific features and are willing to pay a premium, while investors focus on financial metrics, leading to lower purchase prices.

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

Current Quarter Purchase Summary

Analysis of Q4 2025 purchase activity by investor tier and type

Chart Section7 Purchases
Chart Section7 Tiers
Key Insight
Landlords acquired 18.0% of all Single-Family Residential properties sold in Q4, totaling 254 purchases.
Detailed Findings

In the final quarter of 2025, investors were a significant force in the Bergen County market, purchasing 254 of the 1,415 total SFR properties sold, capturing an 18.0% market share of all acquisitions.

The market's new activity is overwhelmingly driven by small-scale investors. Mom-and-pop landlords (Tiers 01-04) were responsible for 251 of the 254 investor purchases, representing a commanding 96.2% of acquisition volume.

A wave of new entrants joined the market, with 277 distinct entities making their first rental property purchase. These single-property landlords alone acquired 206 properties, accounting for 78.9% of all investor buying activity in Q4.

Mid-size landlords (11-1000 properties) showed minimal activity, acquiring only 13 properties combined. This further underscores the market's reliance on smaller operators for liquidity and transaction volume.

Notably, large-scale institutional investors (1000+ properties) were completely absent from the purchasing market in Q4, acquiring zero properties. This inactivity at the top end of the market stands in stark contrast to the vigorous participation from new and small landlords.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) control a commanding 98.0% of Bergen County's investor-owned housing.
Detailed Findings

The investor landscape in Bergen County is definitively controlled by small-scale landlords. Those owning 1-10 properties (Tiers 01-04) hold a combined 98.0% of all investor-owned SFRs, illustrating a highly fragmented market structure.

The scale of this dominance is most apparent at the smallest tier. Single-property landlords alone own 28,940 homes, which constitutes 73.7% of the entire investor-owned portfolio. This group forms the foundation of the local rental market.

Conversely, the presence of large-scale institutional investors is minimal. The 1,000+ property tier (Tier 09) accounts for only 22 properties, or a mere 0.1% of the investor market. This finding challenges the common narrative of corporate landlord takeover in this specific geography.

Mid-size landlords (11-1000 properties) also have a limited footprint, collectively owning just 2.0% of the investor-owned housing stock. The ownership concentration remains firmly at the lower end of the portfolio size spectrum.

This distribution indicates a market characterized by a multitude of individual decision-makers rather than a few large, centralized entities. The overwhelming majority of rental properties in Bergen County are managed by local, small-scale operators.

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
Companies assume majority ownership in portfolios of 6-10 properties, controlling 56.1% of that tier.
Detailed Findings

Ownership structure in Bergen County's rental market undergoes a distinct transformation as portfolios scale. While individual investors form the base, companies become the dominant entity for larger portfolios, with the crossover point occurring in the 6-10 property tier.

In this pivotal 6-10 property tier, companies own 289 properties (56.1%) compared to 226 properties (43.9%) for individuals. This marks the first stage where corporate ownership is the majority strategy.

This trend accelerates in larger tiers. For investors with 11-20 properties, companies own 71.6% of the housing stock, and for those with 21-50 properties, their share is 70.5%. This indicates that formal business structures are preferred for managing mid-sized portfolios.

At the entry level, individual ownership is supreme. Individuals own 25,199 (86.2%) of single-property rentals and 5,272 (90.2%) of two-property portfolios, highlighting that the path to becoming a landlord typically starts with personal, not corporate, investment.

This data illustrates a clear lifecycle: investors enter the market as individuals, but those who scale their operations tend to transition to a corporate structure to manage their growing asset base effectively.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity in Bergen County is highly concentrated, with zip code 07410 alone holding 8,569 investor properties.
Detailed Findings

Investor ownership in Bergen County is not evenly distributed but is instead concentrated in specific sub-markets. Zip code 07410 stands out as the epicenter of investor activity, with 8,569 investor-owned SFR properties.

This concentration is not just a matter of volume but also of market share. In zip code 07410, investors own 48.4% of all single-family residential properties, indicating a market where nearly half the homes are rentals.

Another hotspot for investor ownership is zip code 07650, which has the second-highest penetration rate at 41.9%. The data reveals that certain neighborhoods are significantly more investor-heavy than others.

Zip code 07071 also shows a notable investor presence with 770 properties, translating to a 15.9% ownership rate, which is in line with the county-wide average.

The geographic data, despite some incomplete entries, clearly points to a strategy of targeted acquisitions. Investors appear to be focusing their capital on specific zip codes, leading to pockets of exceptionally high rental density within the broader county.

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 in Bergen County are aggressive net buyers, acquiring 3.96 properties for every one they sold in Q4 2025.
Detailed Findings

The overall investor market in Bergen County is in a strong accumulation phase. In Q4 2025, landlords purchased 337 properties while selling only 85, resulting in a net gain of 252 properties and a buy-to-sell ratio of 3.96 to 1.

This pattern of net buying is a consistent annual trend. Across all of 2025, investors added a net 1,340 properties to their portfolios (1,823 buys vs. 483 sells). This closely mirrors the activity in 2024, where a net of 1,396 properties were acquired.

A significant divergence in strategy appears when comparing the total market to institutional investors. While the broader market is buying heavily, the 1,000+ property tier is actively divesting. In 2025, these large firms were significant net sellers, with 22 sales against only 3 purchases.

The institutional retreat has been accelerating. In Q3 2025 alone, they sold five properties while acquiring only one. This behavior runs directly counter to the broader market trend, suggesting a strategic shift or rebalancing by the largest players.

The data paints a picture of a bifurcated market: a large base of small-to-medium-sized landlords are steadily growing their portfolios, while the few institutional players are reducing their exposure in Bergen County.

Current Quarter Transactions

Q4 2025 transaction analysis by tier, price, and inter-landlord activity

Key Insight
Landlords participated in 15.0% of all market transactions in Q4, with an overwhelming focus on smaller investors.
Detailed Findings

In Q4 2025, landlords were involved in 337 of the 2,240 total property transactions in Bergen County, accounting for a 15.0% share of all market activity.

Transaction volume was heavily concentrated among the smallest investors. The 277 transactions by new single-property landlords (Tier 01) alone made up 82.2% of all landlord-involved deals, reaffirming that market liquidity is driven by new entrants.

A distinct pricing pattern emerged across tiers, indicating different acquisition strategies. Single-property landlords paid the highest average price at $732,148. In contrast, larger landlords in the 101-1000 property tier acquired homes for a significantly lower average price of $464,470, a 36.6% discount.

Inter-landlord trading activity increases with portfolio size. While only 7.9% of properties bought by Tier 01 investors came from other landlords, this figure jumps to 66.7% for the 101-1000 tier and 100.0% for the 51-100 tier. This suggests larger investors are more likely to acquire existing rental portfolios.

Institutional investors (1000+ tier) were entirely inactive, recording zero transactions in Q4. The transactional data confirms that the market's dynamism comes from the buying and selling activities of small, independent operators, not large corporations.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Mom-and-Pop investors control 98% of Bergen County's rental market as institutional players actively sell off assets.
Holdings
In Bergen County, NJ, investors own 37,765 Single-Family Residential properties, representing 15.4% of the total market. Individual investors overwhelmingly dominate, holding 32,087 (85.0%) of these properties compared to 6,074 (16.1%) owned by companies.
Pricing
Landlords demonstrated significant purchasing power in Q4 2025, paying an average of $748,032, which is 18.7% less than traditional homeowners ($920,316) and represents a substantial discount of $172,284 per property.
Activity
Investors accounted for 18.0% of all home purchases in Q4 2025, with 254 acquisitions primarily driven by small operators. The market saw an influx of 277 new single-property landlords, who alone were responsible for 78.9% of all investor buying activity.
Market Share
The rental market is defined by small-scale ownership, with mom-and-pop landlords (1-10 properties) controlling 98.0% of all investor-held housing. In contrast, institutional investors (1,000+ properties) have a negligible footprint, owning just 0.1% of the portfolio.
Ownership Type
Individual investors form the base of the market, but companies become the majority owners once a portfolio scales to the 6-10 property tier (56.1% company-owned). This trend accelerates in larger tiers, with companies owning over 70% of portfolios with 11-50 properties.
Transactions
The overall landlord market is in a strong growth phase, acting as net buyers with a 3.96-to-1 buy/sell ratio in Q4. Conversely, institutional investors are net sellers, having sold 7.3 times more properties than they purchased throughout 2025 (22 sells vs. 3 buys).
Market Narrative

In Bergen County, NJ, the single-family rental market is fundamentally shaped by small, independent investors, not large corporations. Investors own 37,765 properties, or 15.4% of the county's housing stock, with individual 'mom-and-pop' landlords (1-10 properties) controlling an overwhelming 98.0% of this portfolio. This highly fragmented ownership structure stands in stark contrast to the negligible 0.1% share held by institutional firms, challenging the narrative of a corporate takeover in this region. The market's foundation is built on 43,130 individual landlords, who predominantly own properties personally before transitioning to corporate structures at the 6-10 property portfolio size.

Investor activity in Q4 2025 was robust, accounting for 18.0% of all home purchases and fueled almost exclusively by new and small-scale players. These investors consistently demonstrate a sharp pricing advantage, securing homes at an 18.7% discount compared to traditional homeowners in the last quarter. This behavior signals a market where landlords are actively accumulating assets, confirmed by a strong 3.96-to-1 buy/sell ratio. In a complete reversal of this trend, institutional investors are actively divesting, operating as net sellers throughout 2025, signaling a strategic retreat from the Bergen County market.

The key takeaway from the data is a story of two diverging paths: a thriving, expanding base of local mom-and-pop landlords who are the true market movers, and a shrinking cohort of institutional giants reallocating their capital elsewhere. This dynamic suggests that the future of Bergen County's rental landscape will be driven by the decisions of thousands of individual investors, ensuring a decentralized market. The high concentration of investor activity in specific zip codes, such as 07410 where they own 48.4% of homes, indicates that while ownership is fragmented, geographic strategy is highly focused, creating dense pockets of rental housing within the county.

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.

TierPropertiesCategory
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 GeneratedMarch 19, 2026 at 02:51 AM
Data PeriodQ4 2025
Geography LevelCounty
GeographyBergen (NJ)
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Chart Section2 Coverage
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Chart Section3 Ownership Donut
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Chart Section3 Ownership Bar
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Chart Section4 Distribution
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Chart Section5 Holdings
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Chart Section6 Prices
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Chart Section6 Prices Alt
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Chart Section6 Yoy Comparison
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Chart Section6 Trends
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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