Hazard and Risk Data | Global Coverage | 225 Peer Reviewed Publications | All Public and Private Companies
Verified Data Provider| # | Client |
Asset Name |
Country |
Coordinates |
Address |
Site Type |
Parcel Area (km2) |
Validated Asset Area (m2) |
Resolution |
Scenario Set |
Scenario |
Timeframe |
Period |
Year |
Hazard Set |
Hazard Type |
EU Hazard Category |
Hazard |
Hazard Metric Name |
Hazard Metric Unit |
Hazard Metric Output |
Hazard Score |
Confidence Rating |
Confounding Variable Flag |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx |
| 2 | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx |
| 3 | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx |
| 4 | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx |
| 5 | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx |
| 6 | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx |
| 7 | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
| 8 | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx |
| 9 | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx |
| 10 | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx |
| ... | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx |
Data Dictionary
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
Client
 |
String | ||
|
Asset Name
|
String | ||
|
Country
|
String | Estonia | |
|
Coordinates
|
String | 59.443218, 24.7536409 | |
|
Address
|
String | ||
|
Site Type
|
String | Office Building | |
|
Parcel Area (km2)
|
|||
|
Validated Asset Area (m2)
|
|||
|
Resolution
|
String | High Resolution | |
|
Scenario Set
|
String | RCPs | |
|
Scenario
|
String | RCP2.6 | |
|
Timeframe
|
String | 2020-2050 | |
|
Period
|
String | 5 Year | |
|
Year
|
Integer | 2020 | |
|
Hazard Set
|
String | EU Hazards | |
|
Hazard Type
|
String | Acute | |
|
EU Hazard Category
|
String | Solid Mass | |
|
Hazard
|
String | Avalanche | |
|
Hazard Metric Name
|
String | N/A | |
|
Hazard Metric Unit
|
Float | 0.0 | |
|
Hazard Metric Output
|
String | N/A | |
|
Hazard Score
|
String | N/A | |
|
Confidence Rating
|
String | 5/5 | |
|
Confounding Variable Flag
|
String | N/A |
Description
Country Coverage
History
Volume
| 10 | Number of Scenarios |
| 1 | By year |
| 28 | Number of hazards |
Pricing
| License | Starts at |
|---|---|
| One-off purchase |
$500$425 / purchase |
| Monthly License |
$125$106.25 / month |
| Yearly License | Not available |
| Usage-based | Not available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Hazard and Risk Data Global Coverage 225 Peer Reviewed Publications All Public and Private Companies?
Floodlight leverages satellites and AI to deliver accurate, ISO-aligned climate hazard assessments, quantifying risks like emissions, flooding, and extreme weather impacts on assets.
What is Hazard and Risk Data Global Coverage 225 Peer Reviewed Publications All Public and Private Companies used for?
This product has 5 key use cases. Floodlight recommends using the data for Risk Assessment, Credit Risk Assessment, Risk Analysis, Risk Intelligence, and Risk Assurance. Global businesses and organizations buy Climate Data from Floodlight to fuel their analytics and enrichment.
Who can use Hazard and Risk Data Global Coverage 225 Peer Reviewed Publications All Public and Private Companies?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Climate Data. Get in touch with Floodlight to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Hazard and Risk Data Global Coverage 225 Peer Reviewed Publications All Public and Private Companies go?
This product has 15 years of historical coverage. It can be delivered on a monthly basis.
Which countries does Hazard and Risk Data Global Coverage 225 Peer Reviewed Publications All Public and Private Companies cover?
This product includes data covering 250 countries like USA, China, Japan, Germany, and India. Floodlight is headquartered in United States of America.
How much does Hazard and Risk Data Global Coverage 225 Peer Reviewed Publications All Public and Private Companies cost?
Pricing for Hazard and Risk Data Global Coverage 225 Peer Reviewed Publications All Public and Private Companies starts at USD125 per month. Floodlight offers a 15% discount when you buy data from them through Datarade. Connect with Floodlight to get a quote and arrange custom pricing models based on your data requirements.
How can I get Hazard and Risk Data Global Coverage 225 Peer Reviewed Publications All Public and Private Companies?
Businesses can buy Climate Data from Floodlight and get the data via S3 Bucket, SFTP, Email, UI Export, and REST API. Depending on your data requirements and subscription budget, Floodlight can deliver this product in .csv and .xls format.
What is the data quality of Hazard and Risk Data Global Coverage 225 Peer Reviewed Publications All Public and Private Companies?
Floodlight has reported that this product has the following quality and accuracy assurances: 97% Match Quality for IPCC. You can compare and assess the data quality of Floodlight using Datarade’s data marketplace. Floodlight appears on selected Datarade top lists ranking the best data providers, including Who’s New on Datarade? May Edition.
What are similar products to Hazard and Risk Data Global Coverage 225 Peer Reviewed Publications All Public and Private Companies?
This product has 3 related products. These alternatives include Country & Industry Risk Data 200+ Sources Risk Insights (250+ Countries, 40+ Industries) Geo-Industry Risk Analysis, Biodiversity Footprint Data Nature ESG Data 14k+ Global Companies Climate Risk Data, and Sustainability Data ESG Impact Scores 700+ Impact Metrics 10,000+ Companies. You can compare the best Climate Data providers and products via Datarade’s data marketplace and get the right data for your use case.
