Income modeled without protected class data
Indicates the annual income for a household, modeled without using protected class data (e.g., age, gender).
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.
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 | income_ | |
| Category | Financial | fig/financial |
| Unit | USD | USD |
| Type | Integer | long |
| Statistical type | Ratio | ratio |
| Allowed values | Not applicable | null |
| Deprecation | Not deprecated | false |
| Derivations | Not applicable | null |
| Directionality | Higher number means higher monetary value. | |
Interpretation table
For enumerable attributes, a mapping from values to their interpretations. The key type matches the attribute's data type, and the value is always a string interpretation.
| Value | Interpretation |
|---|---|
0 | 7500 |
1 | 17500 |
2 | 25000 |
3 | 35000 |
4 | 45000 |
5 | 62500 |
6 | 87500 |
7 | 112500 |
8 | 137500 |
9 | 162500 |
Popularity
How much Faraday's models lean on this attribute.
| Industry | Popularity rank | Average share of weight |
|---|---|---|
| All industries | 351 of 500 | 0.1% |
| Solar | 94 of 194 | 0.4% |
| Home services | 113 of 243 | 0.2% |
| Marketing | 406 of 500 | 0.1% |
| Real estate | 339 of 441 | 0.1% |