Sold by: Precisely
Deployed on AWS
Flood Risk provides the most current flood mapping data from the Federal Emergency Management Agency (FEMA). In addition to flood zone information, the product includes a database of community participation status in the National Flood Insurance Program (NFIP), elevation profiles, and proximity measurements to varying levels of flood risk.
Overview
Precisely Flood Risk provides information pertaining to flood zones, elevation, distance to closest 100year flood zone, the name and distance to closest water body and more. Use this file to append flood risk information to every affected address location using a unique identifier. Includes proximity measurements for added insight.
Data Sets:
The Flood Risk USA product consists of several tables. Data set content includes but is not limited to:
Unique and persistent identifier (PreciselyID) for each address in the United States.
Location data
Flood zones (COBRA)
Elevations
Distance measurements to flood zones
Distance to water body
Attributes include but are not limited to:
PreciselyID
State FIPS code
Base Flood Elevation
Community Number
Community Status (NFIP)
Elevation
Distance to Flood Zones (example: 100year flood)
Elevation relative to closest water body
Distance to nearest water body
Name of nearest water body
Example Use Cases: Determine the flood zone, community participation status, and LOMR information for any property in the U.S. (San Francisco Area for Sample data set.)
Assess flood risk exposure and accurately calculate premiums with respect to a distribution of policyholders
Determine flood zone elevation and whether or not a property qualifies for the National Flood Insurance Program (NFIP)
Augment edge case risk assessments by understanding a propertys distance to 100 year and special hazard flood zones
Identify the nearest water body to a particular property and view the elevation profile between the property location and the water body
Product is available in a number of GIS and database loadable formats.
NOTE: This sample evaluation data sets cover the San Francisco CA, USA area. The full commercial offerings feature geographic coverage of the entire United States.
Contact aws.data.partnership@precisely.com for licensing information.
Details
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimensions summary
This listing uses a single pricing dimension called Product Access (Units), offered at no cost. It grants subscribers access to the Flood Risk USA Sample. There are no tiers, instance sizes, or usage-based add-ons to compare. You subscribe once to unlock access, and the free model means there are no charges tied to volume or consumption. This sample lets you evaluate the flood risk dataset before committing to a paid dataset. Because only one dimension exists, pricing does not scale or vary by quantity.
Top-of-mind questions for buyers
One unit unlocks access to the Flood Risk USA Sample dataset for a subscriber. It is not metered by record count, query volume, or number of addresses. Subscribing once grants access at no charge, letting you download and evaluate the sample data in your own environment before choosing a paid dataset.
No. This listing has one free dimension with no usage-based charges. Downloading more records, running more queries, or testing across regions does not add cost. Nothing in the pricing structure triggers a charge, since the sample is offered at no cost regardless of how much you evaluate.
The sample lets you test data structure, accuracy, and how it fits your workflows before buying. It covers flood exposure content for evaluation. It is a subset, not the full production dataset. To assess coverage or acquire the complete risk data, contact the vendor for paid options.
www.precisely.com
Helpful?
Vendor refund policy
No refunds are offered for this product.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
Flood Risk USA Sample | All historical revisions | All future revisions | Not included | Not included |
Resources
Vendor resources
Similar products
Introducing the Firehier Game Server with VenomX Anti-DDOS: The Ultimate Tier 1 Gaming Server, Hosted on AWS
Near Real-time and archival data of High-resolution (10 m) flood inundation dataset over the Contiguous United States, developed based on the Sentinel-1 SAR imagery (2016-current) archive, using an automated Radar Produced Inundation Diary (RAPID) algorithm.
We developed SuDS optimisation solution, empowering urban planners and water utilities with the tools necessary to manage stornwater challenges effectively and sustainbly.
Hydrological extremes, in the form of droughts and floods, have impacts on a wide range of sectors including water availability, food security, and energy production, among others. Given continuing large impacts of droughts and floods and the expectation for significant regional changes projected in the future, there is an urgent need to provide estimates of past events and their future risk, globally. However, current estimates of hydrological extremes are not robust and accurate enough, due to lack of long-term data records, standardized methods for event identification, geographical inconsistencies and data uncertainties. To tackle these challenges, we develop the first Global Drought and Flood Catalogue (GDFC) [He et al., 2020] for 1950-2016 by merging the latest in situ and remote-sensing datasets with state-of-the-art land surface and hydrodynamic modeling to provide a continuous and consistent estimate of the terrestrial water cycle and its extremes. This GDFC also includes[...]