31 US metro areas. 68 market indicators. 12 years of monthly data. Validated through COVID, the housing boom, rate hikes, and normalization.
How 332 relationships distribute across accuracy tiers:
Housing market indicators organized into core categories. Rate, affordability, and price metrics are extremely well-captured.
The key relationships driving each market indicator. Every discovery is clear and actionable.
Home price appreciation is driven by inflation pressure and market competitiveness. When CPI rises and homes sell near or above asking, prices accelerate. This held across COVID, the 2021-22 boom, rate hikes, and the 2024-25 normalization.
Housing inventory is almost entirely driven by mortgage rates. As rates rise, supply increases predictably. As rates fall, supply tightens. This held stable across a decade of wildly different rate environments.
New home sales are directly driven by housing inventory. As supply rises, sales decline at a consistent rate. At 99.85% accuracy across a decade, tight supply drives high sales volume; excess supply suppresses it predictably.
Rents track inflation, consistently growing faster than CPI. The lower accuracy (94.59%) reflects local rent dynamics that diverge from national CPI trends.
The 30-year mortgage rate follows the Fed funds rate with a remarkably stable spread. This held across zero-rate policy (2020), rapid tightening (2022–23), and plateau (2024–25). At 99.86% accuracy, mortgage pricing is driven almost entirely by Fed policy, not market sentiment.
Housing permits track new home sales with a consistent ratio: roughly 2 permits for every completed sale. A 10% drop in new sales predicts a ~10% permit decline. 99.89% accuracy across a full housing cycle.
Projected annual home price appreciation for each metro area, based on current market conditions and validated against 12 years of historical data.
| Metro Area | Projected YoY Change | |
|---|---|---|
| San Francisco, CA | +5.50% | |
| New York, NY | +5.31% | |
| Boston, MA | +5.24% | |
| Minneapolis, MN | +5.17% | |
| Baltimore, MD | +5.13% | |
| St. Louis, MO | +5.13% | |
| Chicago, IL | +5.12% | |
| Los Angeles, CA | +5.12% | |
| Philadelphia, PA | +5.11% | |
| Washington, DC | +5.10% | |
| Seattle, WA | +5.10% | |
| Portland, OR | +5.08% | |
| Detroit, MI | +5.07% | |
| Riverside, CA | +5.05% | |
| Sacramento, CA | +5.05% | |
| San Diego, CA | +5.03% | |
| Cincinnati, OH | +5.03% | |
| Denver, CO | +5.02% | |
| United States | +4.99% | |
| Charlotte, NC | +4.97% | |
| Las Vegas, NV | +4.96% | |
| Atlanta, GA | +4.94% | |
| Phoenix, AZ | +4.93% | |
| Pittsburgh, PA | +4.92% | |
| Dallas, TX | +4.91% | |
| Houston, TX | +4.86% | |
| Orlando, FL | +4.85% | |
| San Antonio, TX | +4.84% | |
| Austin, TX | +4.84% | |
| Tampa, FL | +4.81% | |
| Miami, FL | +4.69% |
This isn't a dashboard - it's a decision system. Here are the real problems real estate professionals can solve today with DIGINETICS CRE intelligence:
DIGINETICS tells you exactly which factors drive price growth in each metro. Use this to:
Move beyond static underwriting models. The platform gives you forward-looking, metro-specific risk signals:
Know what's actually driving your market before you set next quarter's strategy:
Differentiate your advisory practice with insights no one else has:
The same institutional-grade intelligence, accessible to individuals:
The best-performing discovery for each market indicator. All accuracies are independently validated.
| Metric | Accuracy | RMSE |
|---|---|---|
| mortgage_rate_15yr | 99.95% | 0.2093 |
| months_supply_roll7 | 99.91% | 0.5976 |
| months_supply_roll3 | 99.91% | 0.6664 |
| months_supply | 99.90% | 0.7653 |
| mortgage_rate_30yr_roll7 | 99.86% | 0.6587 |
| unemployment_rate_national | 99.82% | 1.1052 |
| cap_rate_estimate_roll7 | 99.81% | 0.0128 |
| cap_rate_estimate_roll3 | 99.81% | 0.0127 |
| price_to_income_ratio_roll7 | 99.79% | 1.5374 |
| rental_yield_estimate | 99.79% | 0.0150 |
| price_to_income_ratio | 99.78% | 1.3870 |
| rental_yield_estimate_roll7 | 99.77% | 0.0163 |
| mortgage_rate_15yr_roll7 | 99.75% | 1.0476 |
| mortgage_rate_15yr_roll3 | 99.72% | 1.1772 |
| mortgage_rate_30yr_roll3 | 99.70% | 1.4205 |
| price_to_income_ratio_roll3 | 99.62% | 2.7009 |
| price_3yr_change | 99.54% | 0.1326 |
| cpi_yoy_roll3 | 99.45% | 0.0162 |
| cpi_yoy | 99.45% | 0.0166 |
| cpi_yoy_roll7 | 99.41% | 0.0173 |
| price_yoy_change_roll7 | 99.39% | 0.0503 |
| price_yoy_change_roll3 | 99.21% | 0.0540 |
| price_to_income_ratio_trend | 99.14% | 0.0966 |
| fed_funds_rate | 99.04% | 1.7144 |
| fed_funds_rate_roll3 | 99.03% | 1.6861 |
| price_mom_change_roll7 | 98.98% | 0.0055 |
| price_yoy_change | 98.90% | 0.0620 |
| cpi_yoy_trend | 98.67% | 0.0062 |
| unemployment_rate_national_trend | 98.65% | 0.5853 |
| affordability_index_trend | 98.63% | 21.7491 |
| price_mom_change_roll3 | 98.61% | 0.0066 |
| price_yoy_change_trend | 98.54% | 0.0180 |
| price_momentum | 98.50% | 0.0069 |
| consumer_confidence_trend | 98.41% | 4.7634 |
| months_supply_trend | 98.40% | 0.6346 |
| mortgage_rate_15yr_trend | 98.38% | 0.3097 |
| price_mom_change | 98.37% | 0.0070 |
| mortgage_rate_30yr_trend | 98.36% | 0.3100 |
| price_mom_change_trend | 98.12% | 0.0039 |
| fed_funds_rate_trend | 98.06% | 0.3288 |
| price_acceleration | 98.03% | 0.0030 |
| fed_funds_rate_roll7 | 98.00% | 1.9630 |
| rent_yoy_change_roll7 | 94.68% | - |
| rent_yoy_change_roll3 | 94.63% | - |
| rent_yoy_change | 94.59% | - |
| rent_yoy_change_trend | 93.84% | - |
32 metrics ≥99% | 49 metrics ≥95% | 52 total metrics