National Statistical Institutes are requested to provide increasingly more detailed information reflecting the underlying structure of the society at which policy decisions need to be focused. There is a growing request not only for higher geographical detail related to administrative boundaries, but also for meaningful statistics for the same geographical areas. Labour Market Areas (LMAa) have long being recognised as relevant for assessing the effectiveness of local policy decisions in labour-related matters. Am LMA is a functional geographic area defined for purposes of compiling, reporting and evaluating employment, unemployment, workforce availability and related topics. LMAs are generally intended as areas built on the basis of commuting to work data so that the majority of the labour force lives and works within their boundaries. The LMA delineation is a complex process that deals with commuting data availability, clustering algorithms and spatial statistics concepts. Istat has developed the R package LabourMarketAreas, Ichim et al. (2018), to ease the LMA production process. This paper illustrates the main features of the R package LabourMarketAreas.