for example out of the italian regions have poverty headcounts overlapping the national value so that the statistical difference of the estimates for these regions and the national values cannot be confirmed at a confidence level data providers can also usefully flag estimates with high sampling error using simple criteria such as the number of sampled household in the respective cell or defining reliability thresholds based on the coefficient of variation standard errors or other quality assessments are however not routinely published for regional data such information cannot be easily produced by researchers from microdata files as the computation of sampling error need to take into account variations in the sampling design unfortunately detailed information on the sampling structure is rarely available in the publicuse files of household surveys such as the eusilc