Industrial Production Index

Broad industrial output drives electricity demand from factories, semiconductor plants, and reshoring.

Exclude COVID

102.6Index

Trend YoY growth is +0.4%, slowing by 1 bps/year over the last 25Y. Deviations have remained above trend for 12 consecutive periods. Latest: +1.7%, 1.3 pp above trend, a 0.48σ deviation. At current levels, YoY would fall to +1.0% by Jul '26 as comparisons tighten.

Level

YoY %

y = 0.5% 1 bps/yr · t

Deviation from trend

Forecast

Projected value by forecast vintage (Index)

Projected value (Index)

Forecast made inOct '25Nov '25Dec '25Jan '26Feb '26Mar '26Apr '26May '26Jun '26Jul '26Aug '26Sep '26Oct '26Nov '26Dec '26Jan '27Feb '27Mar '27Apr '27May '27Jun '27MAPE
Oct '25101.2101.5102.8102.7104.0104.2104.5104.6105.3106.0106.0106.3106.0106.0106.8106.6107.7107.6108.8109.2112.3175%
Nov '25101.0102.6102.5103.8103.9104.2104.3105.0105.7105.6105.8105.6105.6106.3106.1107.2107.1108.2108.6111.3180%
Dec '25101.5102.0103.2103.2103.4103.4104.1104.6104.5104.6104.3104.3104.8104.6105.6105.4106.4106.7108.3122%
Jan '26101.1102.8102.8103.0102.9103.5104.0103.8103.9103.6103.5104.0103.7104.6104.4105.4105.6106.585%
Feb '26101.9102.6102.7102.6103.2103.7103.5103.6103.2103.1103.6103.3104.2103.9104.9105.1105.759%
Mar '26101.6102.5102.3102.9103.3103.1103.2102.7102.6103.1102.7103.6103.3104.2104.4104.714%
Apr '26102.5102.3102.8103.3103.0103.1102.6102.5103.0102.6103.5103.2104.1104.2104.422%
May '26102.6102.9103.3103.1103.2102.8102.6103.1102.7103.6103.3104.2104.4104.7
Jun '26102.9103.3103.1103.2102.8102.6103.1102.7103.6103.3104.2104.4104.7

YoY change forecast

Forecast made inOct '25Nov '25Dec '25Jan '26Feb '26Mar '26Apr '26May '26Jun '26Jul '26Aug '26Sep '26Oct '26Nov '26Dec '26Jan '27Feb '27Mar '27Apr '27May '27Jun '27MAPE
Oct '25+1.8%+2.2%+2.4%+2.7%+2.9%+3.1%+3.3%+3.6%+3.8%+4.0%+4.3%+4.5%+4.7%+5.0%+5.2%+5.4%+5.7%+5.9%+6.1%+6.3%+6.6%175%
Nov '25+1.8%+2.3%+2.5%+2.7%+2.9%+3.1%+3.3%+3.5%+3.7%+3.9%+4.1%+4.3%+4.5%+4.7%+4.9%+5.2%+5.3%+5.6%+5.8%+6.0%180%
Dec '25+1.2%+1.9%+2.0%+2.2%+2.3%+2.4%+2.5%+2.7%+2.8%+2.9%+3.1%+3.2%+3.3%+3.4%+3.6%+3.7%+3.8%+3.9%+4.1%122%
Jan '26+1.1%+1.7%+1.7%+1.8%+1.9%+2.0%+2.1%+2.1%+2.2%+2.3%+2.4%+2.5%+2.5%+2.6%+2.7%+2.8%+2.9%+2.9%85%
Feb '26+0.8%+1.5%+1.6%+1.7%+1.7%+1.8%+1.8%+1.9%+2.0%+2.0%+2.1%+2.1%+2.2%+2.3%+2.3%+2.4%+2.4%59%
Mar '26+0.6%+1.3%+1.3%+1.4%+1.4%+1.4%+1.5%+1.5%+1.5%+1.6%+1.6%+1.6%+1.7%+1.7%+1.7%+1.7%14%
Apr '26+1.4%+1.3%+1.3%+1.3%+1.4%+1.4%+1.4%+1.4%+1.4%+1.5%+1.5%+1.5%+1.5%+1.5%+1.6%22%
May '26+1.7%+1.4%+1.4%+1.5%+1.5%+1.5%+1.5%+1.6%+1.6%+1.6%+1.6%+1.7%+1.7%+1.7%
Jun '26+1.4%+1.4%+1.5%+1.5%+1.5%+1.5%+1.6%+1.6%+1.6%+1.6%+1.7%+1.7%+1.7%

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.