National Home Price Index (Case-Shiller)

Higher home equity usually supports homeowner repair and upgrade spending.

326.6Index

Trend YoY growth is +5.6%, accelerating by 6 bps/year over the last 25Y. Deviations have remained below trend for 20 consecutive periods. Latest: +0.9%, 4.7 pp below trend, a 0.9σ deviation. The latest YoY reading is boosted by 1.4 pp due to an easy comparison base from Jan 1. At current levels, YoY would fall to -1.0% by Apr '26 as comparisons tighten.

Level

YoY %

y = 4.2% + 6 bps/yr · t

Deviation from trend

Forecast

Projected value by forecast vintage (Index)

Projected value (Index)

Forecast made inJun '25Jul '25Aug '25Sep '25Oct '25Nov '25Dec '25Jan '26Feb '26Mar '26Apr '26May '26Jun '26Jul '26Aug '26Sep '26Oct '26Nov '26Dec '26Jan '27Feb '27MAPE
Jun '25331.6332.8331.5330.4329.0327.9326.9326.5327.2329.2330.6331.4330.9329.5327.6325.9324.6323.4321.9320.8320.718%
Jul '25330.9331.2330.1328.7327.6326.5326.2326.9328.9330.3331.1330.5329.1327.3325.6324.2323.0321.5320.4319.916%
Aug '25329.9329.8328.3327.3326.1325.7326.5328.4329.8330.5329.9328.5326.7324.9323.6322.4320.8319.7318.818%
Sep '25328.9327.9326.8325.6325.1325.8327.7329.0329.7329.0327.6325.6323.8322.4321.1319.5318.3316.728%
Oct '25328.2326.6325.3324.8325.4327.2328.5329.1328.4326.9324.9323.0321.5320.2318.6317.3315.248%
Nov '25327.8325.2324.6325.2326.9328.1328.7327.9326.4324.3322.4320.9319.5317.8316.5314.157%
Dec '25327.0324.8325.4327.1328.3328.9328.1326.5324.5322.5321.0319.6317.9316.6314.456%
Jan '26326.6325.9327.7328.9329.5328.8327.3325.3323.4321.9320.5318.8317.6315.9
Feb '26325.9327.7328.9329.5328.8327.3325.3323.4321.9320.5318.8317.6315.9

YoY change forecast

Forecast made inJun '25Jul '25Aug '25Sep '25Oct '25Nov '25Dec '25Jan '26Feb '26Mar '26Apr '26May '26Jun '26Jul '26Aug '26Sep '26Oct '26Nov '26Dec '26Jan '27Feb '27MAPE
Jun '25+1.9%+2.2%+2.0%+1.8%+1.5%+1.3%+1.1%+0.9%+0.6%+0.4%+0.2%+0.0%-0.2%-0.4%-0.7%-0.9%-1.1%-1.3%-1.6%-1.8%-2.0%18%
Jul '25+1.6%+1.9%+1.7%+1.4%+1.2%+1.0%+0.8%+0.5%+0.3%+0.1%-0.1%-0.3%-0.6%-0.8%-1.0%-1.2%-1.5%-1.7%-1.9%-2.1%16%
Aug '25+1.5%+1.6%+1.3%+1.1%+0.9%+0.6%+0.4%+0.2%+0.0%-0.3%-0.5%-0.7%-1.0%-1.2%-1.4%-1.7%-1.9%-2.1%-2.4%18%
Sep '25+1.3%+1.2%+1.0%+0.7%+0.5%+0.2%+0.0%-0.3%-0.5%-0.8%-1.0%-1.3%-1.5%-1.8%-2.0%-2.3%-2.5%-2.8%28%
Oct '25+1.3%+0.9%+0.6%+0.3%+0.1%-0.2%-0.4%-0.7%-1.0%-1.2%-1.5%-1.8%-2.0%-2.3%-2.6%-2.8%-3.1%48%
Nov '25+1.3%+0.6%+0.3%+0.0%-0.3%-0.5%-0.8%-1.1%-1.4%-1.7%-2.0%-2.2%-2.5%-2.8%-3.1%-3.4%57%
Dec '25+1.1%+0.4%+0.1%-0.2%-0.5%-0.8%-1.1%-1.3%-1.6%-1.9%-2.2%-2.5%-2.8%-3.1%-3.4%56%
Jan '26+0.9%+0.2%+0.0%-0.3%-0.6%-0.9%-1.1%-1.4%-1.7%-1.9%-2.2%-2.5%-2.8%-3.0%
Feb '26+0.2%+0.0%-0.3%-0.6%-0.9%-1.1%-1.4%-1.7%-1.9%-2.2%-2.5%-2.8%-3.0%

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.