Predicting future climate requires deep understanding of past climatic processes. Deep ice cores drilled in Greenland and Antarctica provide an excellent archive for climate proxies, which can be extracted by several methods. Flow properties of ice sheets can be derived by measuring c-axes orientations; furthermore trace elements and impurities can help to reconstruct atmospheric circulation patterns and provide information about the paleo-temperature. It is assumed that the impurity content of the ice does influence the grain size as well as c-axes orientations. The aim of this thesis is to investigate the relations between impurities and ice microstructure statistically. This was done by calculating correlations (Pearson and Spearman) and cross-correlations between mean grain sizes, c-axes orientations and chemical components. The data for the calculations was taken from four bags of the NEEM ice core (North Greenland Eemian Ice Drilling), drilled at depths of approximately 1845 m to 2202 m. The correlation coefficients showed only very weak statistical relations between the parameters. However, during preparation and measurement of the samples as well as during processing of the data, several error sources could be detected, possibly causing slight distortions of the results.