Source: Keller Williams NYC Agent Seth S Levin
Displayed information is deemed reliable but is not guaranteed and should be independently verified.
Realmo estimates a property’s market value using a proprietary methodology that incorporates public data and user-submitted information. This cumulative value is generated by integrating a variety of conventional and innovative methods.
These figures are not official appraisals and should not be used as a substitute for a valuation performed by a licensed appraiser.
Actual market value may differ due to factors not captured in the data. Estimates are offered for informational purposes only, and users should conduct independent research before making financial or investment decisions.
By using this feature, you acknowledge that Realmo is not responsible for actions taken based on these estimates.
Realmo AI Method estimates property value using machine learning models trained on millions of comparable listings, transactions, and market signals. It analyzes property features, location intelligence data, and current market dynamics to predict the most probable market value in real time.
Capitalization Method calculates value based on estimated net operating income (NOI) and applying a market-based capitalization rate (cap rate), we estimate what a typical investor might be willing to pay for it.
Comparable estimate is based on recent sales of similar nearby properties, adjusted for factors like size, condition, and location.
Relative property class coefficient uses factors that account for typical price differences between various asset types (e.g., retail vs. industrial) to provide a more accurate market-aligned estimate.
Comparable Sales Method, enhanced by Geo coefficients — location-based adjustment factors that reflect differences in price levels across neighborhoods, cities, or regions ensuring a more accurate, market-sensitive valuation.
Estimate considers the property’s potential value if used for a different purpose-based on zoning, demand, and market feasibility.
