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This contribution explores the relationship between indicators from official statistics and measures derived from new data sources. In particular, phone call data from Italy's leading phone company offer suggestions on patterns of behavior, as well as on the demographic composition of municipalities. A classification experiment based on ego-network measures reaches an F-measure accuracy of 0.68 (baseline: 0.63) in distinguishing high and low presence of migrants in Italian municipalities. In addition, this paper explores Sentiment Analysis to investigate the content of online social media communications. Measures about peoples’ sentiment from a microblogging platform show some correlations with economic data. These results provide interesting arguments about the usefulness of integrating new kinds of data to estimate subjective well-being and official statistics.