Data catalog
Flood insurance customer likelihood
Ranks an individual's likelihood of holding flood insurance on an owned home.
Coverage
For how many people does Faraday have a value for this attribute? Depending on the type of attribute, Faraday could know a value for people at the individual level, or infer it based on values it knows for each person's address. Finally, in some cases, we can estimate a value for a person based on what we know about other people in their area.
231,196,884
individuals with known value
0
additional individuals with value imputed from their address
0
additional individuals with value imputed from their geography
231,196,884
individuals with known or imputed value
Time series
Faraday collects observations for this attribute over time. This chart shows how many observations we collected at different times.
Data distribution
Technical details
These technical details describe how Faraday represents this attribute internally.
| Property | Value | API value |
|---|---|---|
| API name | flood_ | |
| Category | Financial | fig/financial |
| Unit | Rank | rank |
| Type | Integer | long |
| Statistical type | Ordinal | ordinal |
| Allowed values | Not applicable | null |
| Deprecation | Not deprecated | false |
| Derivations | Not applicable | null |
| Directionality | Higher number means a greater ranked likelihood. | |
Popularity
How much Faraday's models lean on this attribute.
| Industry | Popularity rank | Average share of weight |
|---|---|---|
| All industries | 194 of 500 | 0.1% |
| Marketing | 100 of 500 | 0.2% |
| Financial | 238 of 500 | 0.1% |
| Real estate | 267 of 441 | 0.1% |
| Ecommerce | 169 of 279 | 0.1% |