Economic and Industry Exposure Data
Economic and Industry Exposure Databases (EEDs and IEDs) employ a range of statistical, analytical and modeling techniques to estimate total insured property values and risk counts by postal, administrative, or peril specific polygons, lines of business, and peril based on both internally compiled and publicly available data. Estimates are provided by lines of business, reflecting common insurance policy conditions for specific perils and occupancy types. The replacement cost estimates are developed from census population, employee, building and auto stock, enterprise counts, economic data, construction cost data, company premium data, post-cat studies, and other specialty datasets.
The EED represents the economic property exposure within a geography. IED represents total risk to the insurance industry for that geography and peril, supplementing aggregate replacement cost estimates with policy terms patterned after real industry data. Integrated into the underwriting rules processing location intelligence data is actionable information clients use to instrument the decision-making process, including pricing. Given the data is derived from catastrophe models, there is alignment to the portfolio management results, which allows coordination between underwriting and portfolio teams.
Depending on the geography, Economic and Industry Exposure Databases are available for the following perils:
Coverage: Over 100 million records
Geography: Over 100 catastrophe modeled countries, across Americas, Asia, Caribbean, Europe and Oceania
Commonly Used Data Fields:
File Format: SQL
Delivery: Desktop Download
Data Update Frequency: Annually, as models are updated
Access this data through our platforms: Intelligent Risk Platform
The EED represents the economic property exposure within a geography. IED represents total risk to the insurance industry for that geography and peril, supplementing aggregate replacement cost estimates with policy terms patterned after real industry data. Integrated into the underwriting rules processing location intelligence data is actionable information clients use to instrument the decision-making process, including pricing. Given the data is derived from catastrophe models, there is alignment to the portfolio management results, which allows coordination between underwriting and portfolio teams.
Depending on the geography, Economic and Industry Exposure Databases are available for the following perils:
- Fire Following Earthquake (FF)—represents the sums insured for general fire coverage, otherwise known as all-peril coverage. To determine insured risk to sprinkler leakage, properties represented in this database are categorized as either sprinklered, or non-sprinklered.
- Winterstorm (WT) —represents sums insured against low pressure systems that may contain a variety of perils, including high winds, snow, ice, and freezing temperatures.
- Convective Storm (CS) —represents properties with insurance coverage against destructive storms, including intense thunderstorms, hailstorms, tornadoes, and straight-line winds. In some states, companies include this coverage in the standard wind/fire policy. In other states, it is added as a separate endorsement to the main policy.
- Hurricane (HU) —represents insurance coverage against named hurricanes and tropical storms affecting states along the North Atlantic Basin and Hawaii. The IED provides estimates of total wind-insured property values, regardless of whether property is insured via windpools, or the private insurance market.
- Flood (FL) —represents surge exposure values applicable to Tropical Cyclone Induced Precipitation (TCIP) and all precipitation events. Flood IED provides estimates of residential and small commercial exposure for the National Flood Insurance Program (NFIP), excess-NFIP and all commercial properties not considered for NFIP coverages.
- Earthquake (EQ) —represents sums insured with earthquake coverage, typically written as a separate policy, or as an endorsement onto the standard wind/fire policy.
- Terrorism (TR) —represents insurance coverage against terrorism. Exposure values are equivalent to the non-residential lines of business in the fire IED. An associated database represents the employees related to the non-residential workers compensation exposure.
- Wildfire (WF) — represents the sums insured for general fire coverage, otherwise known as all-peril coverage, provided at a peril-specific polygon resolution.
Key Facts
Coverage: Over 100 million records
Geography: Over 100 catastrophe modeled countries, across Americas, Asia, Caribbean, Europe and Oceania
Commonly Used Data Fields:
- Locid: Identifier for the Geography
- Portnum: Portfolio Number: Geography, Aggregate Line of Business
- Descript: Portfolio Name: Aggregate Lind of Business, Geography, IED Vintage, Peril, Resolution
File Format: SQL
Delivery: Desktop Download
Data Update Frequency: Annually, as models are updated
Access this data through our platforms: Intelligent Risk Platform