This research aims to design a statistical model to estimate the population receiving humanitarian aid to people affected by disasters in Peru, for which has been used ten variables: emergencies occurring in Peru (X1) injured population (X2) affected population (X3) homes destroyed (X4) homes affected (X5) hectares of crop losses (X6) hectares of crops affected (X7) the probabilities of occurrence of emergencies and disasters (X8) emergencies such phenomena occurred in Peru (X9) emergencies and natural regions (X10) The data are 52,327 records from 2003 to 2014 from the National Information System for Response and Rehabilitation (SINPAD), and the National Civil Defense Institute of Peru (INDECI) features on Web Platform, whose record of emergencies anddisasters is the responsibility of regional governments throughout Peru through the Emergency Operations Centers (COES). The data used in ...