ApartmentIQ: Property Forecasting

Written By Jaime Dorn (Super Administrator)

Updated at January 23rd, 2026

The Core Objective

Our forecasting engine is built to answer one core question: “What should I realistically expect from this property over the next few years?”


Our Forecasting Approach: ApartmentIQ

To answer this question with confidence, we combine property-level data with market intelligence using two complementary approaches

1. Property- Specific Forecasts

When a property possesses sufficient high-quality data and a critical mass of similar assets, we generate a standalone forecast specific to that property.

  • Inputs: We combine the asset's historical performance, daily unit-level rents, local demographics, and new supply pipelines.
     
  • Output: A forward-looking view reflecting actual asset performance, including a specific year-over-year (YoY) rent growth metric displayed on the Property Detail Page.

This approach delivers a transparent way to compare future performance, offering higher confidence for underwriting, renewal, and pricing decisions.

2. Submarket-Anchored Forecasts, Calibrated for the Asset

For properties that lack the historical depth to support a standalone model, we anchor the forecast to the market and then specifically tailor it to the subject property.

  • Inputs: We anchor the model to expected market performance, then calibrate it to the specific asset using its daily unit rents, surrounding demographics, and local supply dynamics.
     
  • Output: A submarket-informed forecast that is specifically tuned to the property—never a generic submarket line.

This offers a credible, market-grounded forecast that ensures consistency across asset types and provides a clear view for evaluating new or recently stabilized properties.

In both cases, the goal is the same: a forecast that is grounded in reality and usable for real investment and asset management decisions.
 

What It Looks Like

Property-Specific YoY Rent Growth

When you see a property-specific YoY rent growth metric, it is grounded in that asset's history, local demographics, new supply, and closely matched peers.

Example: A specific property (e.g., MacArthur Place at 183) is compared directly against the Metro Area.

 

Submarket-Based Forecast

When you do not see a property-specific YoY metric, you are looking at a submarket-based forecast tailored to that property using daily rents, demographic context, and new supply.

 

Example: A submarket (e.g., South Irving) is shown relative to the Metro Area.


Designed for Accuracy

Regardless of the method used, the forecast is designed to be realistic, comparable, and actionable, giving you a clear, consistent way to assess risk, growth, and opportunity at any property. We maintain decision-grade confidence by using a single consistent framework and regularly backtesting our models against actual performance. As we integrate new data, properties continuously “graduate” from submarket-anchored forecasting to property specific forecasting. 
 
 
Should you have additional questions, please contact our Support Team for assistance.