In 2025, real estate professionals did not rely on property data to chase growth. They relied on it to understand risk, validate assumptions, and navigate market divergence.
Across lending, investment, research, and analytics teams, ATTOM observed clear changes in how property data was used. Demand increased for historical context, distress indicators, equity signals, and market level comparisons. Point in time metrics mattered less without supporting context.
This article outlines how property data usage evolved in 2025 and what those patterns signal for priorities heading into 2026.
Summary: Key Property Data Shifts From 2025
- Greater reliance on historical property data to understand changes over time
- Increased focus on equity, distress, and liquidity signals
- Broader use of market level analytics alongside property level data
- Shift away from growth indicators toward downside risk visibility
Why 2025 Changed How Property Data Was Used
In 2025, housing markets did not move uniformly. Some regions stabilized, others softened, and risk profiles shifted faster than pricing alone could explain.
As a result, professionals needed more than current values. They needed context. Property data was used to answer questions such as where risk was accumulating, how quickly conditions were changing, and whether markets were behaving consistently with historical patterns.
Nationwide coverage and historical depth became more important than isolated metrics. This reinforced the value of consistent, standardized datasets that could support comparison across markets and time.
The Property Datasets Professionals Relied on Most in 2025
Property Ownership and Transaction History
What the data shows
Ownership tenure, transfer history, and transaction patterns at the property level.
Why it mattered in 2025
Transaction activity slowed in many markets. Understanding ownership stability and turnover helped professionals assess liquidity and market participation.
How it was used
Lenders, investors, and analysts used ownership and transaction data from ATTOM’s property data to evaluate market activity, identify constrained supply, and compare turnover trends across regions.
Valuation and Equity Indicators
What the data shows
Estimated values, assessed values, and equity positions at the property level.
Why it mattered in 2025
Equity became a primary risk buffer. Professionals focused less on peak pricing and more on how much protection existed against potential value declines.
How it was used
ATTOM valuation and equity data supported loan structuring, portfolio review, and market level risk analysis, particularly in markets where price growth had slowed or reversed.
Foreclosure and Distress Data
What the data shows
Foreclosure filings, stages, and geographic concentration of distressed properties.
Why it mattered in 2025
Distress indicators were monitored as early warning signals rather than lagging outcomes.
How it was used
ATTOM’s foreclosure data was used to track emerging stress, compare markets, and understand where financial pressure was increasing even before broader pricing impacts appeared.
Sales Activity and Market Velocity
What the data shows
Sales volume, transaction frequency, and changes in buyer behavior.
Why it mattered in 2025
Market velocity provided insight into demand, liquidity, and pricing pressure beyond headline price trends.
How it was used
Real Estate sales data helped professionals identify markets where activity was stabilizing versus those continuing to slow, supporting more precise market segmentation.
Market Level Trend Analytics
What the data shows
Aggregated housing market performance across geographies.
Why it mattered in 2025
Regional divergence required broader context. Market level analytics allowed professionals to compare performance across counties, metros, and states.
How it was used
ATTOM’s housing market data supported comparative analysis, research, and reporting across local, regional, and national markets.
How Data Usage Shifted Across B2B Use Cases
Lenders and Risk Teams
Lenders used property data to validate collateral value, assess equity buffers, and monitor early risk indicators. Historical performance and distress trends were prioritized over short term appreciation signals.
Investors and Acquisition Teams
Investors relied on transaction history, equity data, and market velocity to evaluate liquidity and downside exposure. Data supported selective decision making rather than broad acquisition strategies.
Analysts, Researchers, and Media
Analysts and researchers used market level datasets to explain divergence, support trend analysis, and provide data driven context rather than directional forecasts.
From Growth Signals to Risk Signals
In 2025, property data usage shifted away from identifying upside potential and toward understanding downside exposure.
Equity levels, distress activity, and historical comparisons became more important than headline price growth. This change reflected a broader emphasis on resilience, validation, and risk management.
ATTOM’s historical depth and standardized coverage enabled this shift by allowing professionals to compare current conditions against prior cycles and market behavior.
What 2025 Data Usage Signals for 2026
The way property data was used in 2025 signals several priorities for 2026:
- Continued emphasis on monitoring and validation rather than prediction
- Greater reliance on historical context to interpret current conditions
- Increased need for consistent data across markets and use cases
These patterns suggest that property data will remain foundational to decision making as professionals continue navigating uneven market conditions.
Conclusion: What 2025 Reinforced About Property Data
2025 reinforced that reliable property data is not optional. It is foundational.
As markets became more complex and less uniform, professionals depended on property level detail, historical context, and market level analytics to understand risk and support informed decisions.
ATTOM continues to provide nationwide property data and housing market insights that support this approach, helping organizations analyze markets with clarity and confidence as they move into 2026.
