Background: Exploratory research was undertaken to investigate whether a diagrammatical approach which had been successfully applied to staff turnover might provide additional insights into the underlying dynamics of cancer incidence and prevalence, given that net changes can mask very different patterns. Taking the ‘active’ period for cancer care as the first five years after diagnosis, the research involved this cohort of patients for each of the main five cancers: breast, colorectal, lung, melanoma, and prostate. Methods: The Inverted Nomogramma di Gandy was applied using relevant existing data for all Clinical Commissioning Groups in England in 2017. This included the number of: existing cancer cases at the beginning and end of 2017; new cases diagnosed during 2017 (excluding Death Notice Only); cancer deaths (excluding Death Notice Only); and, individuals whose survival passed the 5 years’ mark during 2017. To evaluate the approach’s usefulness to service practitioners a report was circulated throughout the Cheshire & Merseyside Cancer Alliance, with an associated electronic survey. Results: There were wide variations in incidence and prevalence across England. The diagram showed dispersed patterns for Cancer Alliances and readily identified individual outlier locations, thereby highlighting the underlying dynamics. Some of the patterns for the different cancer varied considerably. Even within the Cheshire & Merseyside Cancer Alliance there were some marked variations between (neighbouring) locations. The evaluation found a positive response to the approach from service practitioners. Conclusions: This diagrammatical approach provides useful and novel analyses that are complementary to incidence and prevalence, and helpful to practitioners. It demonstrates varying patterns, identifies outliers, and highlights the underlying dynamics behind incidence and prevalence that would otherwise not necessarily be appreciated from net figures. Because it uses existing available data it could be speedily introduced.