Data catalog
Property crime rate
Indicates property crimes per 100,000 inhabitants in the surrounding postcode. Property crime sums burglary, larceny-theft, and motor vehicle theft.
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.
0
individuals with known value
0
additional individuals with value imputed from their address
41,117
additional individuals with value imputed from their geography
41,117
individuals with known or imputed value
Data distribution
Technical details
These technical details describe how Faraday represents this attribute internally.
| Property | Value | API value |
|---|---|---|
| API name | property_ | |
| Category | Society | fig/society |
| Unit | Per_100k | per_100k |
| Type | Float | double |
| Statistical type | Ratio | ratio |
| Allowed values | Not applicable | null |
| Deprecation | Not deprecated | false |
| Derivations | Not applicable | null |
| Directionality | Higher number means more property crime in the surrounding postcode. | |
Contribution
1 authority contributed since Dec 2018.
| Data observation date | Data ingestion date | Count | ID |
|---|---|---|---|
| 2018-12-31 | 2026-09-16 | 41,117 | e2d21660-1ea6-430a-8bf9-33673e10fdd6 |
Popularity
How much Faraday's models lean on this attribute.
| Industry | Popularity rank | Average share of weight |
|---|---|---|
| All industries | 233 of 500 | 0.1% |