Existing Home Sales
Best simple proxy for housing turnover — more turnover usually leads to more repair, renovation, and reroof activity.
4.1kK units
Trend YoY growth is -6.6%, slowing by 99 bps/year over the last 10Y. Deviations have remained above trend for 26 consecutive periods. Latest: -1.4%, 5.1 pp above trend, a 0.5σ deviation. At current levels, YoY would rise to +1.2% by May '26 as comparisons ease.
Level
YoY %
y = 3.4% − 99 bps/yr · t
Deviation from trend
Forecast
Projected value by forecast vintage (K units)
Projected value (K units)
| Forecast made in | Jul '25 | Aug '25 | Sep '25 | Oct '25 | Nov '25 | Dec '25 | Jan '26 | Feb '26 | Mar '26 | Apr '26 | May '26 | Jun '26 | Jul '26 | Aug '26 | Sep '26 | Oct '26 | Nov '26 | Dec '26 | Jan '27 | Feb '27 | Mar '27 | MAPE |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Jul '25 | 4.0k | 3.9k | 3.9k | 4.0k | 4.2k | 4.3k | 4.1k | 4.2k | 4.1k | 4.1k | 4.1k | 4.0k | 4.1k | 4.1k | 4.1k | 4.2k | 4.1k | 4.3k | 4.1k | 4.1k | 4.1k | 105% |
| Aug '25 | 4.0k | 3.9k | 4.0k | 4.2k | 4.3k | 4.1k | 4.2k | 4.1k | 4.1k | 4.1k | 4.0k | 4.1k | 4.1k | 4.1k | 4.2k | 4.1k | 4.3k | 4.1k | 4.2k | 4.1k | 133% | |
| Sep '25 | 4.1k | 4.0k | 4.2k | 4.3k | 4.1k | 4.2k | 4.1k | 4.1k | 4.1k | 4.0k | 4.1k | 4.1k | 4.1k | 4.2k | 4.1k | 4.3k | 4.1k | 4.1k | 4.1k | 166% | ||
| Oct '25 | 4.1k | 4.2k | 4.3k | 4.1k | 4.2k | 4.0k | 4.0k | 4.1k | 4.0k | 4.0k | 4.0k | 4.1k | 4.1k | 4.1k | 4.2k | 4.0k | 4.0k | 4.0k | 145% | |||
| Nov '25 | 4.1k | 4.3k | 4.1k | 4.2k | 4.0k | 4.0k | 4.0k | 3.9k | 4.0k | 4.0k | 4.0k | 4.0k | 4.0k | 4.2k | 3.9k | 4.0k | 3.9k | 86% | ||||
| Dec '25 | 4.3k | 4.1k | 4.2k | 4.1k | 4.1k | 4.1k | 4.0k | 4.1k | 4.1k | 4.1k | 4.2k | 4.1k | 4.3k | 4.1k | 4.1k | 4.1k | 196% | |||||
| Jan '26 | 4.0k | 4.3k | 4.1k | 4.1k | 4.2k | 4.1k | 4.2k | 4.2k | 4.3k | 4.3k | 4.3k | 4.5k | 4.3k | 4.4k | 4.4k | 279% | ||||||
| Feb '26 | 4.1k | 4.1k | 4.1k | 4.2k | 4.1k | 4.2k | 4.2k | 4.3k | 4.3k | 4.3k | 4.5k | 4.2k | 4.3k | 4.4k | ||||||||
| Mar '26 | 4.1k | 4.1k | 4.2k | 4.1k | 4.2k | 4.2k | 4.3k | 4.3k | 4.3k | 4.5k | 4.2k | 4.3k | 4.4k |
YoY change forecast
| Forecast made in | Jul '25 | Aug '25 | Sep '25 | Oct '25 | Nov '25 | Dec '25 | Jan '26 | Feb '26 | Mar '26 | Apr '26 | May '26 | Jun '26 | Jul '26 | Aug '26 | Sep '26 | Oct '26 | Nov '26 | Dec '26 | Jan '27 | Feb '27 | Mar '27 | MAPE |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Jul '25 | +2.0% | +0.7% | +0.8% | +0.8% | +0.8% | +0.8% | +0.8% | +0.9% | +0.9% | +0.9% | +0.9% | +1.0% | +1.0% | +1.0% | +1.0% | +1.1% | +1.1% | +1.1% | +1.1% | +1.2% | +1.2% | 105% |
| Aug '25 | +4.4% | +1.2% | +1.2% | +1.3% | +1.3% | +1.3% | +1.3% | +1.3% | +1.3% | +1.4% | +1.4% | +1.4% | +1.4% | +1.4% | +1.4% | +1.4% | +1.5% | +1.5% | +1.5% | +1.5% | 133% | |
| Sep '25 | +6.3% | +1.7% | +1.7% | +1.7% | +1.6% | +1.6% | +1.6% | +1.5% | +1.5% | +1.5% | +1.5% | +1.4% | +1.4% | +1.4% | +1.3% | +1.3% | +1.3% | +1.2% | +1.2% | 166% | ||
| Oct '25 | +3.8% | +1.3% | +1.2% | +1.0% | +0.8% | +0.7% | +0.5% | +0.4% | +0.2% | +0.1% | -0.1% | -0.3% | -0.4% | -0.6% | -0.8% | -0.9% | -1.1% | -1.2% | 145% | |||
| Nov '25 | -1.4% | +0.5% | +0.3% | +0.1% | -0.1% | -0.3% | -0.5% | -0.8% | -1.0% | -1.2% | -1.4% | -1.6% | -1.8% | -2.0% | -2.3% | -2.5% | -2.7% | 86% | ||||
| Dec '25 | +0.7% | +1.4% | +1.4% | +1.4% | +1.4% | +1.4% | +1.4% | +1.4% | +1.4% | +1.4% | +1.4% | +1.4% | +1.4% | +1.4% | +1.4% | +1.4% | 196% | |||||
| Jan '26 | -1.5% | +2.6% | +2.9% | +3.2% | +3.5% | +3.8% | +4.1% | +4.5% | +4.8% | +5.1% | +5.4% | +5.7% | +6.0% | +6.4% | +6.6% | 279% | ||||||
| Feb '26 | -1.4% | +2.3% | +2.6% | +2.9% | +3.3% | +3.6% | +3.9% | +4.2% | +4.5% | +4.8% | +5.2% | +5.5% | +5.8% | +6.1% | ||||||||
| Mar '26 | +2.3% | +2.6% | +2.9% | +3.3% | +3.6% | +3.9% | +4.2% | +4.5% | +4.8% | +5.2% | +5.5% | +5.8% | +6.1% |
Forecasts use ordinary least-squares linear regression fitted to the YoY change series over a rolling 1Y window. Each row shows a vintage — the forecast as it would have appeared at that point in time. Projected values apply the forecasted YoY change to the prior year's level, chaining forward where actuals are unavailable. MAPE measures forecast accuracy against realized values. These are mechanical trend extrapolations, not economic models.