Forecasts shape the most important decisions in multifamily. Pricing strategy, revenue planning, investor conversations, staffing, new supply… It’s all influenced by forecasting data.
So when teams sit down to make strategic decisions, they need to trust that the data they share reflects what’s actually happening in the market.
ApartmentIQ’s forecasting methodology is designed with ultimate relevance and credibility in mind. Let’s walk through how our rent forecasts are built in Explore Pro, what data they’re trained on, and how we keep them accurate as markets change.
The Problem with Traditional Forecasts
Many rent forecasts depend on outdated or sampled data. Quarterly surveys are the industry standard, but because this data is collected every few months, these reports inevitably create large gaps between what the data shows and what’s happening in the market.
When rental demand changes quickly, or supply enters the market faster than expected, lagging data means that multifamily forecasts completely overlook these turning points. By the time the signal appears, operators must pivot to respond to the change rather than plan for what’s next.
You can’t forecast the future if you’re behind the market. Our approach is designed to solve that.
Accuracy Starts with Better Data
Before forecasting can begin, the market must be measured correctly. ApartmentIQ monitors daily unit-level pricing across over 40 million units, backed by five years of historical data.
A daily cadence matters. Instead of sampling the market every few months, we track how the industry behaves in real time. That gives our model a clean starting point.
From there, we add in the real-world drivers that influence performance, such as:
- Long-term rent growth history
- Development pipelines with delivery timelines
- Employment and wage trends
- Inflation and retail spending patterns
- Population shifts
- Building permit activity
Together, this data helps forecasts reflect what’s driving the market now, not just what has already happened.
How Our Model Learns Market Behavior
ApartmentIQ’s forecasting engine is built on deep learning, allowing our model to recognize complex patterns that traditional methods often miss.
Before generating any market projections, our model is trained on nearly a decade of historical rent data. During this phase, it learns recurring patterns like seasonality, long-term cycles, and how different market forces interact over time.
Just as important, we validate the model against data it hasn’t seen before. This testing phase helps confirm that forecasts aren’t simply memorizing historical data but can adjust to new conditions.
Only after that validation step does the model retrain on the full data set and begin generating future forecasts.
Precision & Proof: How Our Forecasts Outperformed 2025 Benchmarks
With forecasting, the proof is in the numbers: when we ran them for 2025, ApartmentIQ was more accurate than other rent growth forecasts the industry relies on.
When compared with other publicly available 2025 rent growth forecasts, which average roughly 2.2% mean absolute error, Explore Pro forecasts deliver materially lower error by about 0.7%. When you consider that total market movement is usually only 3-4%, that extra bit of precision isn’t just “better,” it’s a massive competitive advantage for your portfolio.
High level: ApartmentIQ’s forecasts showed a 33% improvement in accuracy over publicly available forecasts:
The results speak for themselves. See how we predicted growth across major MSAs:
| Market | Actual | ApartmentIQ | Public | Advantage |
|---|---|---|---|---|
| Salt Lake City | -1.76% | -0.30% | 2.12% | 2.42% |
| Nashville | -1.18% | -0.26% | 1.97% | 2.23% |
| Raleigh | -1.14% | -1.48% | 1.08% | 1.88% |
| Miami | 0.31% | 0.76% | 2.62% | 1.86% |
| Philadelphia | 1.37% | 1.47% | 3.28% | 1.81% |
| Orlando | -0.43% | -1.36% | 2.23% | 1.73% |
| Jacksonville | -0.46% | -0.90% | 1.68% | 1.70% |
| Charlotte | -2.10% | -0.83% | 0.86% | 1.69% |
| Minneapolis | 3.27% | 2.73% | 1.08% | 1.65% |
| Dallas | -1.28% | 0.05% | 1.59% | 1.54% |
| Boston | 0.03% | 1.77% | 3.18% | 1.41% |
| Austin | -4.59% | -2.32% | -0.93% | 1.39% |
| Richmond | 1.15% | 2.17% | 3.50% | 1.33% |
| Kansas City | 2.24% | 2.68% | 3.77% | 1.09% |
| Washington | -0.64% | 1.42% | 2.45% | 1.03% |
| Pittsburgh | 2.49% | 2.52% | 3.50% | 0.98% |
| San Diego | -0.77% | 0.50% | 1.37% | 0.87% |
| Memphis | 0.25% | 1.56% | 2.40% | 0.84% |
| Louisville | 0.23% | 1.67% | 2.50% | 0.83% |
| Tampa | -1.98% | 1.99% | 2.82% | 0.83% |
| San Francisco | 3.88% | 2.87% | 2.06% | 0.81% |
| Phoenix | -2.38% | -0.66% | 0.13% | 0.79% |
| Seattle | 1.29% | 1.81% | 2.58% | 0.77% |
| Portland | -1.00% | 0.91% | 1.65% | 0.74% |
| Columbus | 0.67% | 2.63% | 3.18% | 0.55% |
| San Jose | 4.56% | 3.75% | 3.20% | 0.55% |
| Riverside | -0.64% | 2.48% | 3.02% | 0.54% |
| Baltimore | 1.46% | 2.14% | 2.63% | 0.49% |
| Denver | -3.20% | -0.16% | 0.23% | 0.39% |
| Sacramento | -0.21% | 1.19% | 1.52% | 0.33% |
| Atlanta | -0.05% | 1.23% | 1.55% | 0.32% |
| Las Vegas | -0.47% | 1.64% | 1.95% | 0.31% |
| Milwaukee | 1.99% | 1.51% | 2.72% | 0.25% |
| San Antonio | -4.06% | 0.22% | 0.46% | 0.24% |
| St. Louis | 3.01% | 2.55% | 2.40% | 0.15% |
| Virginia Beach | 4.31% | 3.20% | 3.13% | 0.07% |
| Houston | -1.14% | 1.74% | 1.75% | 0.01% |
Here’s a deeper look at ten major MSAs:
Why This Leads to Earlier Signals
Because ApartmentIQ uses daily pricing and supply data, our forecasts identify market shifts sooner than traditional models. That means rent slowdowns, recoveries, and other turning points show up weeks or even months earlier.
When operators receive earlier signals, they have time to adjust their pricing strategies and prepare for what’s ahead. Operations shift from reactive to proactive, and teams move from scrambling to interpret lagging data to getting clear and effective guidance.
A Smarter Forecasting Standard from ApartmentIQ
For too long, multifamily forecasts have depended on outdated data that lags behind the market by the time operators see it. This era of forecasting is over.
Explore Pro by ApartmentIQ produces rent growth forecasts that update as new data come in, rather than relying on long-range predictions that can quickly fall out of sync with the market. As conditions change, our forecasts change with them, giving teams a clearer view of where momentum is heading.
At its core, forecasting is about reducing uncertainty so teams can plan ahead and make decisions with more confidence. That’s what our methodology is built to support: timely, market-based forecasts teams can rely on.
Move faster with forecasts that reflect today’s – not yesterday’s – market. Request an ApartmentIQ demo.