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We analyse data in the agriculture and population censuses currently available at the municipality level (referring to 2011) and we apply spatial autocorrelation techniques, using the Local Indicator of Spatial Association (LISA) and Getis-Ord Gi* statistic. The maps clusters of migrants (classified by continent) and agricultural crops or breeding (horticulture, orchards and citrus, buffalo and poultry farms), highlight a positive spatial correspondence between resulting hot spots. 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