Wind is a weather variable of great importance in many applications. However, a detailed understanding of both temporal and spatial behavior is necessary in order to understand the factors that may interfere with its variability. The methodology used in the present study was based on the application of the multivariate statistical technique based on factor analysis (FA) in order to analyze the wind speed variability in the Paraíba State microregions. The data used to constitute the study are CFSR reanalysis data validated with data observed from six INMET stations covering the period from January 2000 to December 2010. According to the study, it was found that the lowest wind speed values Paraíba occur in the first semester and the highest values were obtained in the second semester. Through Factor Analysis (FA), greater weights were identified in the total variation explained by the first two factors, representing about 100% of the total data variance, where the first factor correlates with a period of lower wind variability for the region. the second with the most variable wind speed range.