The plot shows the distribution of obesity values within the states. The bars make it clear how many states have obesity rates in which ranges. The mode of the distribution is in the range of 35%-37.5%. The mean of all states is 33.6%. A lower mean than mode shows the distribution is slightly left-skewed. We also provide a kernel density estimation shown in blue to get an idea of what the real distribution could look like.
Above, we show the development of obesity rates over time. We display the rates of California, San Diego, and the US average. Especially from the US average (shown in orange), we can see the trend of increasing obesity rates in the past few years. Due to updated data processing methods, we are not able to provide insights going further back in the past.
Our correlation analysis shows that many disease and health factors are highly correlated. The first column and row show the correlations of obesity with selected other diseases. Stroke, coronary heart disease, diabetes, disability, and arthritis are strongly positive correlated with obesity. This can be seen as a motivation to develop policies to reduce obesity rates itself as not only obesity can be a health burden but obesity affects the general health and might contribute to the development of other diseases.