U.S. Average Retail Electricity Price

Best household and business pain metric — average cents per kilowatt-hour across all sectors.

Exclude COVID

0.19¢/kWh

Trend YoY growth is +3.6%, accelerating by 3 bps/year over the last 25Y. Deviations have remained above trend for 13 consecutive periods. Latest: +7.2%, 3.6 pp above trend, a 0.92σ deviation. The latest YoY reading is depressed by 1.1 pp due to an tough comparison base from Apr 1. At current levels, YoY would fall to +2.6% by Jul '26 as comparisons tighten.

Level

YoY %

y = 2.8% + 3 bps/yr · t

Deviation from trend

Forecast

Projected value by forecast vintage (¢/kWh)

Projected value (¢/kWh)

Forecast made inAug '25Sep '25Oct '25Nov '25Dec '25Jan '26Feb '26Mar '26Apr '26May '26Jun '26Jul '26Aug '26Sep '26Oct '26Nov '26Dec '26Jan '27Feb '27Mar '27Apr '27May '27MAPE
Aug '250.190.190.190.190.190.190.190.190.190.200.210.200.210.200.210.210.210.210.210.210.210.2214%
Sep '250.190.190.190.190.190.190.190.190.200.210.200.210.200.210.210.210.210.210.210.210.2215%
Nov '250.190.190.190.190.200.200.200.210.210.210.210.210.210.210.210.210.220.2221%
Dec '250.190.190.190.200.200.200.210.210.210.210.210.210.210.210.210.220.2330%
Jan '260.190.190.200.200.200.210.210.210.210.210.210.220.210.220.220.2346%
Feb '260.190.200.200.200.210.210.210.210.210.210.210.210.210.220.2224%
Mar '260.190.190.200.210.200.210.200.210.210.210.210.210.210.227%
Apr '260.190.200.200.200.210.200.210.210.210.210.210.210.22
May '260.200.200.200.210.200.210.210.210.210.210.210.22

YoY change forecast

Forecast made inAug '25Sep '25Oct '25Nov '25Dec '25Jan '26Feb '26Mar '26Apr '26May '26Jun '26Jul '26Aug '26Sep '26Oct '26Nov '26Dec '26Jan '27Feb '27Mar '27Apr '27May '27MAPE
Aug '25+7.3%+6.2%+6.4%+6.6%+6.8%+7.0%+7.2%+7.4%+7.6%+7.8%+8.0%+8.2%+8.4%+8.6%+8.8%+9.0%+9.2%+9.4%+9.6%+9.8%+10.0%+10.2%14%
Sep '25+5.6%+6.3%+6.5%+6.7%+7.0%+7.2%+7.4%+7.6%+7.8%+8.0%+8.2%+8.4%+8.6%+8.8%+9.0%+9.2%+9.5%+9.7%+9.9%+10.1%+10.3%15%
Nov '25+6.8%+7.2%+7.5%+7.8%+8.0%+8.3%+8.6%+8.9%+9.1%+9.4%+9.7%+10.0%+10.3%+10.6%+10.8%+11.1%+11.4%+11.7%+12.0%21%
Dec '25+7.4%+7.8%+8.2%+8.5%+8.8%+9.1%+9.5%+9.8%+10.2%+10.5%+10.9%+11.2%+11.5%+11.9%+12.2%+12.5%+12.9%+13.2%30%
Jan '26+9.1%+8.8%+9.1%+9.6%+10.0%+10.4%+10.8%+11.2%+11.6%+12.1%+12.5%+12.9%+13.3%+13.7%+14.1%+14.5%+14.9%46%
Feb '26+5.6%+8.1%+8.4%+8.7%+9.0%+9.4%+9.7%+10.0%+10.3%+10.6%+10.9%+11.2%+11.5%+11.8%+12.1%+12.4%24%
Mar '26+6.2%+7.7%+7.9%+8.1%+8.3%+8.6%+8.8%+9.0%+9.2%+9.5%+9.7%+9.9%+10.1%+10.3%+10.5%7%
Apr '26+7.2%+7.6%+7.8%+7.9%+8.1%+8.3%+8.5%+8.6%+8.8%+9.0%+9.2%+9.3%+9.5%+9.7%
May '26+7.6%+7.8%+7.9%+8.1%+8.3%+8.5%+8.6%+8.8%+9.0%+9.2%+9.3%+9.5%+9.7%

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.