Hazard Risk DataNatural. Man-Made. Risk Assessment Data.
Know Your Risks with Hazard Data Insights
ATTOM’s environmental hazard data is compiled from various government agencies who track natural and man-made risks within a given geographical area. Based on this data, multiple types of hazard risk assessments can be applied to maximize returns and minimize losses.
Protect What Matters with ATTOM Environmental Hazard Data
Any natural phenomenon that might cause a negative effect on humans or their properties is what ATTOM calls “Natural Hazards.” Using the hazard data, customers can understand the potential risk of a natural hazard occurring near a property or neighborhood. Whether the risk is poor air quality, landslides, or radon, be informed on all fronts to reduce your financial exposure or equip you to better serve the real estate community.
This data is modeled using historic events with wind speeds exceeding 50 mph, dating back to 1955. Help present the relative risk of damaging winds at the block group level and above.
This data is modeled using publicly available USGS tornado records dating back to 1950, and comprising of over 65,000 tornadoes. Spatial analysis is performed using tornado paths and single touchdown points to present a risk index. These datasets present the relative risk of a tornado at the block group level and above.
This data presents the relative risk of a hail storm at the block group level and above, using spatial data analysis and models that reconstruct past hail events.
This data is modeled using publicly available USGS hurricane records dating as far back as 1851, along with wind speed, barometric pressure, and historic hurricane spatial analysis. This data presents the relative risk of a hurricane at the block group level and above.
This data are sourced from FEMA and allow communities to understand their flooding risks and form a basis for effective floodplain management.
This data integrate the EPA data with local data to identify areas of the United States with the potential for elevated indoor radon levels. This data help governments and other organizations target risk reduction activities and resources.
This data offers five different air pollution risk indices: Ozone, Carbon Monoxide, Particulate Matter, Lead, and Nitrogen Dioxide. This data offers risk indices at the block group level using historic air pollution data obtained from the EPA. Air Quality is a valuable part of decision-making for real estate buyers and investors.
Data is based on catalogs of past and recent earthquakes and the research and models from government, academia, and industry. This data considers where future earthquakes might occur, and presents a relative risk of damaging earthquakes at the block group level and above.
This data presents a unified risk index based on the relative risk of hail, hurricane, tornado, and wind at the block group level and above.
Clandestine Drug Labs
The U.S. Drug Enforcement Administration provides data on locations where law enforcement agencies reportedly found chemicals or other items, indicating the presence of either clandestine drug laboratories or dumpsites.
How Can You Use ATTOM’s Hazard Risk Data?
Technology & Data Platforms
Increase traffic and subscriptions by providing the latest and most valuable datasets in digital form to individuals, investors, and industries who rely on risk assessment.
Property research for insurance company assessments that use environmental hazards risk as part of their analysis. Updated flood and weather risk data effectively informs stakeholder decision making and drives crucial actions to mitigate risk.
ATTOM’s Data is Your Business Advantage
A multi-sourced, enhanced national warehouse that contains information on more than 155 million U.S. properties including:
- 29.6 Billion Rows of Data
- 9,000 Data Fields
- 20TB Warehouse
- 99% Population Coverage
Our rigorous Enterprise Data Management Program (EDMP) involves more than 20 steps that validate, standardize and enhance the real estate data we collect:
- Property Address Standardization
- Owner Name Parsing
- ATTOM ID Matching
- Fusion of Multi-Sourced Data
- Data Governance