Published in Chapter 6, 2021
This analysis classifies places in terms of population stability and density using quartiles and outliers. It does so by sorting all values into three main categories (low, average, high), with two additional categories for very low and very high cases (based on Tukey fences as used in Chapter 3). This is done because the continuous measures are spread across different ranges due to the differing spatial unit resolutions of the census throughout time and therefore, cannot be compared directly. Labels of high, average and low area used to compare places over different decades. Average values are defined as those within the interquartile range – otherwise stated, the range that contains fifty percent of the data that falls between the 25th and 75th percentile. The virtue of this approach is that it allows for a data-driven, yet simple and clear and most importantly comparable understanding of what is low or high. ‘Low’ denotes values that are lower than half of the observations; in the same spirit, ‘high’ denotes values that are higher than fifty percent of the data. Read more