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In England, it is anecdotally remarked that the number of Greggs bakeries tobe found in a town is a reliable measure of the area's 'Northern-ness'.Conversely, a commercial competitor to Greggs in the baked goods and sandwichesmarket, Pret-a-Manger, is reputed to be popular in more 'southern' areas ofEngland. Using a Support Vector Machine and an Artificial Neural Network (ANN)Regression Model, the relative geographical distributions of Greggs and Prethave been utilised for the first time to quantify the North-South divide inEngland. The calculated dividing lines were each compared to another line,based on Gross Domestic Household Income (GDHI). The lines match remarkablywell, and we conclude that this is likely because much of England's wealth isconcentrated in London, as are most of England's Pret-a-Manger shops. Furtherstudies were conducted based on the relative geographical distributions ofpopular supermarkets Morrisons and Waitrose, which are also considered to havea North-South association. This analysis yields different results. For allmetrics, the North-South dividing line passes close to the M1 Watford Gapservices. As a common British idiom, this location is oft quoted as one pointalong the English North-South divide, and it is notable that this work agrees.This tongue-in-cheek analysis aims to highlight more serious factorshighlighting the North-South divide, such as life expectancy, education, andpoverty.

The Greggs-Pret Index: a Machine Learning analysis of consumer habits as a metric for the socio-economic North-South divide in England