Wildfire activity and related losses have been increasing through a confluence of factors, including property development within high-risk areas and a range of phenomena potentially tied to climate change, such as warming and drying trends (more intense droughts) and early spring snowmelt in mountainous regions. Assigning wildfire risk to properties takes deep, diverse, large-scale data that’s been subjected to sophisticated analytics and scientific methods within an ecosystem of constant innovation.
Location-specific risk factors—vegetative fuel, slope/grade of land, and road access—for individual properties significantly influence the level of wildfire hazard exposure; and this exposure is year-round. FireLine scores properties based on these attributes and delivers further insight on property locations within Special Hazard Zones that are at risk from wind-borne embers during a fire, as well as from exposure to smoke and ash damage. Data sets are available in the following U.S. states: Arizona, California, Colorado, Idaho, Montana, Nevada, New Mexico, Oklahoma, Oregon, Texas, Utah, Washington, and Wyoming.
This free sample is on California only.
A data dictionary is included within the User Guide that accompanies the data set. Key fields include the following:
* State
* ZIP code
* City (postal)
* Pre-direction
* Street name
* Post-direction
* Street type
* Low address number
* High address number
* Odd/even/both Flag
* County FIPS code
* Match type
* Fuels at property
* Slope
* Access
* Hazard Score at property
* Fuels in the surrounding area
* Wildfire Hazard Score
* Special Hazard Zone
Please contact location-info@verisk.com if you have any questions. You can find more information at [verisk.com/wildfire](https://verisk.com/wildfire).
The Mobility Data by Highland Math is a compilation of different datasets surrounding mobility in the United States. Starting with collision data in the two most populous cities in the United States. Check back in later to find more data on mobility.
Control patients sample dataset from TPR-DB including gene-expression profile and metabolic pathways enrichments
This is a demo SSURGO database with component data for Rhode Island and D.C.
| Heapery Attribution License | Heapery-Private |
| Category | Geospatial |
| Data Schema | |
| Support Contact Email Address | support@heapery.com |
| Data Format | |
| Version number | |
| Language | English |
| Data Size | |
| Last Updated Date | 8/11/2020 |
| Refund Policy | Dataset is free and provided as-is |
