Consumer Price Index

Inflation is the stealth resolution mechanism — it erodes the real value of fixed-dollar promises.

Exclude COVID

330.3Index

Trend YoY growth is +3.2%, accelerating by 0.1 pp/year over the last 25Y. Latest: +3.3%, 0.1 pp above trend, a 0.1σ deviation. The latest YoY reading is boosted by 0.8 pp due to an easy comparison base from Mar 1. At current levels, YoY would fall to +2.8% by May '26 as comparisons tighten.

Level

YoY %

y = 1.9% + 0.1 pp/yr · t

Deviation from trend

Forecast

Projected value by forecast vintage (Index)

Projected value (Index)

Forecast made inJul '25Aug '25Sep '25Oct '25Nov '25Dec '25Jan '26Feb '26Mar '26Apr '26May '26Jun '26Jul '26Aug '26Sep '26Oct '26Nov '26Dec '26Jan '27Feb '27Mar '27Apr '27MAPE
Jul '25322.2322.1322.7323.6324.5325.5326.9327.6327.6328.1328.4329.2329.9331.0331.9331.2332.7333.6334.1335.0337.9335.615%
Aug '25323.3323.2324.2325.1326.2327.7328.4328.6329.1329.4330.3331.1332.3333.3333.2334.1335.2335.8336.7339.6338.49%
Sep '25324.2324.5325.5326.6328.1328.9329.0329.6330.0330.9331.7332.9334.0334.3334.9336.0336.6337.6340.6339.97%
Nov '25325.1326.7328.1328.9329.1329.7330.1331.0331.8333.0334.0335.0336.0336.6337.6340.6340.07%
Dec '25326.0328.4329.2329.4330.0330.4331.3332.1333.4334.4335.5336.5337.2338.2341.2340.98%
Jan '26326.6329.2329.4330.1330.5331.4332.3333.5334.6335.7336.8337.4338.4341.5341.311%
Feb '26327.5329.3330.0330.4331.4332.2333.5334.6335.7336.8337.5338.5341.6341.310%
Mar '26330.3330.5331.0332.0332.9334.3335.5336.7337.9338.6339.7342.9343.2
Apr '26330.5331.0332.0332.9334.3335.5336.7337.9338.6339.7342.9343.2

YoY change forecast

Forecast made inJul '25Aug '25Sep '25Oct '25Nov '25Dec '25Jan '26Feb '26Mar '26Apr '26May '26Jun '26Jul '26Aug '26Sep '26Oct '26Nov '26Dec '26Jan '27Feb '27Mar '27Apr '27MAPE
Jul '25+2.7%+2.6%+2.5%+2.5%+2.5%+2.5%+2.5%+2.5%+2.5%+2.4%+2.4%+2.4%+2.4%+2.4%+2.4%+2.4%+2.3%+2.3%+2.3%+2.3%+2.3%+2.3%15%
Aug '25+2.9%+2.7%+2.7%+2.7%+2.7%+2.7%+2.7%+2.7%+2.7%+2.8%+2.8%+2.8%+2.8%+2.8%+2.8%+2.8%+2.8%+2.8%+2.8%+2.8%+2.8%9%
Sep '25+3.0%+2.8%+2.8%+2.8%+2.9%+2.9%+2.9%+2.9%+2.9%+2.9%+3.0%+3.0%+3.0%+3.0%+3.0%+3.1%+3.1%+3.1%+3.1%+3.1%7%
Nov '25+3.0%+2.9%+2.9%+2.9%+2.9%+2.9%+2.9%+3.0%+3.0%+3.0%+3.0%+3.0%+3.0%+3.1%+3.1%+3.1%+3.1%+3.1%7%
Dec '25+3.0%+2.9%+3.0%+3.0%+3.0%+3.0%+3.1%+3.1%+3.1%+3.1%+3.2%+3.2%+3.2%+3.3%+3.3%+3.3%+3.3%8%
Jan '26+2.8%+3.0%+3.0%+3.0%+3.1%+3.1%+3.1%+3.2%+3.2%+3.2%+3.3%+3.3%+3.3%+3.4%+3.4%+3.4%11%
Feb '26+2.7%+3.0%+3.0%+3.1%+3.1%+3.1%+3.2%+3.2%+3.2%+3.3%+3.3%+3.3%+3.4%+3.4%+3.4%10%
Mar '26+3.3%+3.2%+3.2%+3.3%+3.3%+3.4%+3.5%+3.5%+3.6%+3.6%+3.7%+3.8%+3.8%+3.9%
Apr '26+3.2%+3.2%+3.3%+3.3%+3.4%+3.5%+3.5%+3.6%+3.6%+3.7%+3.8%+3.8%+3.9%

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.