Employment Rate, 55–64

Tracks how much the near-retirement cohort remains economically active as populations age.

Exclude COVID

64.4%

Trend YoY growth is +0.4%, accelerating by 1 bps/year over the last 48Y. Deviations have remained below trend for 10 consecutive periods. Latest: +0.0%, 37 bps below trend, a 0.29σ deviation.

Level

YoY Change

y = 0.0% + 1 bps/yr · t

Deviation from trend

Forecast

Projected value by forecast vintage (%)

Projected value (%)

Forecast made inNov '25Dec '25Jan '26Feb '26Mar '26Apr '26May '26Jun '26Jul '26Aug '26Sep '26Oct '26Nov '26Dec '26Jan '27Feb '27Mar '27Apr '27May '27Jun '27Jul '27MAPE
Nov '2564.465.165.665.265.365.565.364.965.265.265.065.065.065.364.864.965.265.365.464.965.7606%
Dec '2564.765.364.965.065.164.864.464.764.664.464.464.364.564.164.164.364.464.563.964.2198%
Jan '2664.364.564.564.764.363.964.164.063.763.663.563.763.163.263.463.463.462.862.4644%
Feb '2664.464.564.664.363.864.063.963.663.563.463.663.063.063.263.263.262.662.2970%
Mar '2664.764.664.263.864.063.863.563.463.363.562.962.963.163.063.062.561.91243%
Apr '2664.864.263.663.963.763.363.363.163.262.762.662.862.762.762.161.52123%
May '2664.963.964.163.963.663.663.463.663.063.063.263.263.262.662.22600%
Jun '2664.464.364.163.863.863.763.963.363.463.563.563.663.062.8
Jul '2664.364.163.863.863.763.963.363.463.563.563.663.062.8

YoY change forecast

Forecast made inNov '25Dec '25Jan '26Feb '26Mar '26Apr '26May '26Jun '26Jul '26Aug '26Sep '26Oct '26Nov '26Dec '26Jan '27Feb '27Mar '27Apr '27May '27Jun '27Jul '27MAPE
Nov '25+0.1%+0.5%+0.5%+0.5%+0.5%+0.5%+0.5%+0.5%+0.5%+0.5%+0.5%+0.5%+0.5%+0.5%+0.5%+0.5%+0.5%+0.5%+0.5%+0.5%+0.5%606%
Dec '25+0.2%+0.3%+0.2%+0.2%+0.2%+0.1%+0.1%+0.0%+0.0%-0.1%-0.1%-0.1%-0.2%-0.2%-0.3%-0.3%-0.4%-0.4%-0.4%-0.5%198%
Jan '26-0.7%-0.1%-0.2%-0.3%-0.4%-0.5%-0.6%-0.7%-0.8%-0.9%-1.0%-1.0%-1.1%-1.2%-1.3%-1.4%-1.5%-1.6%-1.7%644%
Feb '26-0.2%-0.3%-0.4%-0.5%-0.6%-0.7%-0.8%-0.9%-1.0%-1.1%-1.2%-1.3%-1.4%-1.5%-1.6%-1.6%-1.7%-1.8%970%
Mar '26-0.1%-0.4%-0.5%-0.6%-0.7%-0.8%-0.9%-1.1%-1.2%-1.3%-1.4%-1.5%-1.6%-1.7%-1.8%-1.9%-2.0%1243%
Apr '26-0.2%-0.6%-0.7%-0.9%-1.0%-1.1%-1.2%-1.4%-1.5%-1.6%-1.8%-1.9%-2.0%-2.1%-2.3%-2.4%2123%
May '26+0.1%-0.5%-0.6%-0.7%-0.8%-0.9%-1.0%-1.1%-1.3%-1.4%-1.5%-1.6%-1.7%-1.8%-1.9%2600%
Jun '26+0.0%-0.4%-0.5%-0.6%-0.7%-0.8%-0.9%-1.0%-1.0%-1.1%-1.2%-1.3%-1.4%-1.5%
Jul '26-0.4%-0.5%-0.6%-0.7%-0.8%-0.9%-1.0%-1.0%-1.1%-1.2%-1.3%-1.4%-1.5%

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.