Core PCE
Core PCE is the Personal Consumption Expenditures price index with food and energy stripped out, the inflation gauge the Federal Reserve weights most heavily against its own 2% target. It's built from actual spending data across the whole economy rather than a fixed survey basket, which is why the Fed prefers it to the more commonly quoted CPI.
Last updated 2 Aug 2026
What it measures
Core PCE tracks the change in prices for everything US households buy, from services and durable goods down to insurance and haircuts, deliberately excluding the food and energy categories because their prices swing on supply shocks that don't reflect the broader inflation trend the Fed is trying to control. It's released monthly by the Bureau of Economic Analysis, usually a few weeks after the more widely reported CPI figure for the same month, and is typically quoted as a year-over-year percentage change.
How to read it
Compare the reading against the Fed's 2% annual target and against its own recent trend, not just against the prior month in isolation. A single month printing hot after a run of cooler readings gets read differently than a steady climb over a quarter. The month-over-month figure, annualized, is what markets watch for a real-time read on momentum, since the year-over-year number can stay elevated for months even after monthly inflation has actually slowed, simply because it's still averaging in the hotter months from a year ago.
What it does not tell you
Core PCE excludes food and energy specifically to filter out short-term noise, but that means it can understate what households are actually feeling in their budgets during a stretch when gas or grocery prices are the real story. It's also a backward-looking, whole-economy average: a national figure near target can still sit alongside sharp price pressure in specific categories like housing or auto insurance that matter enormously to any individual household's budget. And revisions happen. The first print for a given month is an estimate built from incomplete data and gets revised, sometimes meaningfully, as more source data comes in over the following months.
Worked example
| Core PCE YoY | 2.9% |
|---|---|
| Fed target | 2.0% |
Suppose core PCE prints at 2.9% year-over-year for a given month, down from 3.2% the month before but still above the Fed's 2% target. That combination, cooling but not yet at goal, is roughly the kind of reading that has kept the Fed cautious about cutting rates further even while acknowledging progress. Compare that to a hypothetical print of 3.6%, which would represent a re-acceleration and would likely push back any near-term expectation of additional rate cuts, regardless of what other parts of the economy were showing at the time.
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