> ## Documentation Index
> Fetch the complete documentation index at: https://docs.shovels.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Understanding the Homeowner Field

> Learn how the probabilistic homeowner feature in Shovels resident data is determined and validated through consensus methodology.

The probabilistic homeowner feature in Shovels' residents data indicates whether a person is likely the property owner.

## Data Source

The homeowner data is sourced from our data co-op members and represents a **consensus-driven determination** of property ownership.

## Validation Methods

### Consensus

We require **3+ different data signals** to confirm data linkages, with reliability ensured through:

* Exhaustive validation methods
* Confirmation from actual usage
* Multiple data point verification

For example, the presence of a unit number is considered as part of this compilation.

### Conformation

This process ensures that data within the "Consensus" realm:

* Represents frequent occurrences
* Adheres to proper formatting and data standards
* Cannot be invalidated using existing signals

## Using the Homeowner Field

### In EDL Data

Filter for homeowners using:

```
HOMEOWNER = 'Y'
```

### Combined with Other Features

You can use additional features to identify homeownership patterns:

* Income range
* Children present
* Net worth

<Tip>
  Combining the homeowner field with demographic indicators helps identify trends at certain demographic levels.
</Tip>

## Consumer Attributes Dataset

We also offer additional features in our "Consumer Attributes" dataset including:

* Number of kids
* Grandparent in household
* Other household composition data

## Related Articles

* [Resident data overview](/docs/knowledge-base/data/residents/resident-data)
* [Resident email contact information](/docs/knowledge-base/edl/resident-contact-info)