The calculation of composite indicators and the derivation of respective rankings is a common method used to benchmark countries or regions. However, although the statistical robustness of these rankings is often criticised, they often still spark off heated political debate. Here, we assess the sensitivity of the province ranking published by the Italian economics newspaper "Il Sole 24 Ore." For this purpose, various weighting, normalising and aggregation schemes were compared. Furthermore, to assess the accuracy of the underlying model, confidence intervals were calculated for the indicator values. The dynamic properties of the rankings were also analysed by evaluating the short- and long-term forecast properties of the rankings.