Standard measures of prices are often contaminated by transitory shocks. This has prompted economists to suggest the use of measures of underlying inﬂation to formulate monetary policy and assist in forecasting observed inﬂation. Recent work has concentrated on modelling large datasets using factor models. In this paper we estimate factors from datasets of disaggregated price indices for European countries. We then assess the forecasting ability of these factor estimates against other measures of underlying inﬂation built from more traditional methods. The power to forecast headline inﬂation over horizons of 12 to 18 months is adopted as a valid criterion to assess forecasting. Empirical results for the ﬁve largest euro area countries as well as for the euro area are presented.