Put a value on the details.

Explore an estimated property value using the features that shape the model.

New estimate History Compare

Property details

Seven inputs. One consistent model.

Residential

Property name (optional)

Floor areasq ft

Interior floor area

Bedroomsrooms

Whole number, including studios

Bathroomsrooms

Half bathrooms are supported

Year builtyear

Original construction year

Lot sizesource units

Units follow the supplied dataset

Distance to city centresource units

Units follow the supplied dataset

School ratingsource scale

Use the source dataset rating scale

The next step to a clearer estimate.

Enter the property details and calculate an estimate. Your result, context chart, and saved record will appear here.

Describe the property

Add all seven features. Sample values are provided to get you started.

Calculate and review

View the model output with any training-range warnings.

Save and compare

Every successful estimate is saved. Compare up to four properties.

Understand the estimate

A linear regression baseline trained on 50 supplied properties. Cross-validated MAE: 7,107 price units. This is an illustrative model, with no guaranteed market accuracy.

Model details