National Home Price Index (Case-Shiller)

Higher home equity usually supports homeowner repair and upgrade spending.

Exclude COVID

336.7Index

Trend YoY growth is +5.3%, accelerating by 4 bps/year over the last 26Y. Deviations have remained below trend for 26 consecutive periods. Latest: +2.1%, 3.2 pp below trend, a 0.62σ deviation. The latest YoY reading is boosted by 3.7 pp due to an easy comparison base from Aug 1.

Level

YoY %

y = 4.4% + 4 bps/yr · t

Deviation from trend

Forecast

Projected value by forecast vintage (Index)

Projected value (Index)

Forecast made inJan '26Feb '26Mar '26Apr '26May '26Jun '26Jul '26Aug '26Sep '26Oct '26Nov '26Dec '26Jan '27Feb '27Mar '27Apr '27May '27Jun '27Jul '27Aug '27Sep '27MAPE
Jan '26326.8325.9327.7329.0329.6328.9327.4325.4323.6322.1320.8319.1318.0318.1319.8321.6323.0323.4322.8321.4307.9129%
Feb '26327.8328.6329.9330.7330.1328.7326.9325.1323.7322.6321.0319.9320.2322.1323.9325.5326.0325.5324.2312.3114%
Mar '26330.4331.0331.9331.4330.2328.5326.9325.6324.6323.2322.3322.7324.7326.8328.5329.2328.9327.7317.598%
Apr '26333.2333.0332.7331.6330.0328.6327.5326.6325.4324.6325.2327.4329.6331.5332.3332.2331.2322.782%
May '26335.6333.8332.9331.5330.2329.2328.5327.4326.8327.6329.9332.3334.4335.4335.4334.6327.767%
Jun '26336.9334.1332.9331.7330.9330.4329.4329.0329.9332.4335.0337.3338.4338.6337.9332.752%
Jul '26337.3334.1333.1332.4332.0331.2330.9332.0334.6337.4339.9341.2341.6341.0337.338%
Aug '26336.7334.1333.6333.4332.6332.5333.7336.5339.4342.0343.5344.0343.6341.1
Sep '26334.1333.6333.4332.6332.5333.7336.5339.4342.0343.5344.0343.6341.1

YoY change forecast

Forecast made inJan '26Feb '26Mar '26Apr '26May '26Jun '26Jul '26Aug '26Sep '26Oct '26Nov '26Dec '26Jan '27Feb '27Mar '27Apr '27May '27Jun '27Jul '27Aug '27Sep '27MAPE
Jan '26+1.0%+0.3%+0.0%-0.3%-0.5%-0.8%-1.1%-1.3%-1.6%-1.9%-2.1%-2.4%-2.7%-3.0%-3.2%-3.5%-3.7%-4.0%-4.3%-4.6%-4.8%129%
Feb '26+0.8%+0.3%+0.0%-0.2%-0.4%-0.7%-0.9%-1.1%-1.4%-1.6%-1.8%-2.1%-2.3%-2.5%-2.8%-3.0%-3.2%-3.5%-3.7%-4.0%114%
Mar '26+0.8%+0.3%+0.1%+0.0%-0.2%-0.4%-0.6%-0.8%-1.0%-1.2%-1.4%-1.6%-1.7%-1.9%-2.1%-2.3%-2.5%-2.7%-2.9%98%
Apr '26+1.0%+0.5%+0.3%+0.2%+0.1%-0.1%-0.2%-0.4%-0.5%-0.7%-0.8%-0.9%-1.1%-1.2%-1.4%-1.5%-1.6%-1.8%82%
May '26+1.3%+0.7%+0.6%+0.5%+0.4%+0.3%+0.2%+0.1%+0.0%-0.1%-0.2%-0.3%-0.4%-0.5%-0.5%-0.6%-0.7%67%
Jun '26+1.6%+1.0%+0.9%+0.9%+0.8%+0.8%+0.7%+0.7%+0.6%+0.6%+0.5%+0.5%+0.4%+0.4%+0.4%+0.3%52%
Jul '26+1.9%+1.3%+1.3%+1.3%+1.3%+1.3%+1.3%+1.3%+1.3%+1.3%+1.3%+1.3%+1.3%+1.3%+1.3%38%
Aug '26+2.1%+1.6%+1.6%+1.7%+1.7%+1.8%+1.8%+1.8%+1.9%+1.9%+2.0%+2.0%+2.0%+2.1%
Sep '26+1.6%+1.6%+1.7%+1.7%+1.8%+1.8%+1.8%+1.9%+1.9%+2.0%+2.0%+2.0%+2.1%

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.