This chapter introduces measures of position, which are statistical tools used to describe the relative position of individual data points within a dataset. Key measures covered include percentiles, quartiles, deciles, and interquartile range (IQR), which help in understanding the distribution and spread of data. Percentiles divide data into 100 equal parts, while quartiles split data into four parts and deciles into ten. The IQR, a robust measure of variability, focuses on the central 50% of data, making it less sensitive to outliers. The chapter also discusses the different methods for calculating these measures, highlighting their role in data analysis and visualisation, such as in the construction of boxplots. These positional measures are essential for understanding the distribution structure and for identifying outliers or trends in the data.