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The mean center of population of the United States is a convenient location used to summarize the population distribution of the United States and how it changes over time. As computed by the U.S. Census Bureau, the center depends on an arbitrary choice of a map projection. We feel that this location should depend only on the population distribution and not on any choices made in representing the data of the distribution. This note discusses a method for computing this location that does not depend on any choices made and describes how the results of this method differ from those of the Census Bureau.

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Several measurements are used to describe the behavior of a diabetic patient’s blood glucose. We describe a new, wavelet-based algorithm that indicates a new measurement called a PLA index could be used to quantify the variability or predictability of blood glucose. This wavelet-based approach emphasizes the shape of a blood glucose graph. Using continuous glucose monitors (CGMs), this measurement could become a new tool to classify patients based on their blood glucose behavior and may become a new method in the management of diabetes