The ability to analyze this amount of data with its inherent complexities without using computational support puts a strain on human resources. This paper examines the current techniques that are used to predict crime and criminality. Over time, these techniques have been refined and have achieved limited success. data Mining is the procedure which includes evaluating and examining large pre- existing databases in order to generate new information which may be essential to the organization. The criminals can also be predicted based on the crime data. The main aim of this work is to perform a survey on the supervised learning and unsupervised learning techniques that has been applied towards criminal identification. This paper presents the survey on the crime analysis and crime prediction using several data Mining techniques. To inform that to perform ensure a crime free society and to identify crime characteristics.