Abstract. Sprat (Sprattus sprattus L.) is a keynote species in the Black Sea, and stock dynamics is highly affected by the fisheries and environmental conditions. Another important feature of the species is cyclic nature of its spawning stock biomass and recruitment. Thus, seasonal fishery independent surveys are crucial for stock condition evaluation and managerial decisions for sustainable exploitation. Sprat surveys under DCF (DCR199/2000 EC) were conducted in spring 2007–2010 and autumn 2015–2018. The present paper considers the use of GIS application which is frequently used as a supplementary tool for spatial analyses of fisheries activities including commercial fishing, impacts of IUU fishing, by-catch, unintentional catch of protected species, etc. Analyses are to support the follow-up assessment and decision-making process. Principal component analysis (PCA) is applied to explain biomass variability within the stratified survey area as well as population distribution analysis, based on the survey results. High variability was identified in both parameters Catch per unit area (CPUA) and Catch per unit effort (CPUE) within different seasons and years. PCA and stock distribution analysis results are explained in the view of stock biomass distribution within the stratified survey area.