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Major 'Underinsured' Sector, Pt.2 -- Is this an even spread?

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The reason this distinction is so important was well accounted for by the Commonwealth Fund and proven out in some of their most successful proposals. They created a new segment of those families that fell between 200% and 300% above the Federal Poverty-Level standard. A very important concept is explained in statistics by separating the ‘mean’ from the ‘median’. For example, if we consider a segment of families earning more than $40,000 a year and the segment contains 99 families earning $40,000 per year and one family earning $40 million a year we may think we have a meaningful picture. So if we just take the average pay of the segment (the ‘median’) we may assume that the average income for that group is $439,600 {($40,000 X 99 + $40,000,000) / 100}. We would think that 50 (half of the 100 people) earn less than $439,600, and the other 50 earn more. But do they? Are there about the same number of families earning between $40,000 to $60,000 (200% to 300% of the $20,000 Federal Poverty-level Standard) as there are between, say $200,000 to $220,000 (1000% to 1100% of the Federal Poverty-level Standard)? If we simply take the average of our segment, which is $439,600, we would conclude ‘Yes’. But does that ring out right? Because of our simple model, we can do the math in our heads. There are far more people in the 200% to 300% range, in fact 99% of the whole group. The Commonwealth Fund are very wise and have shown proof of this significance repeatedly. The pilot test model used in Massachusetts is a perfect example of the success and significance of considering that important 200% to 300% segment. The goal in Massachusetts was to drastically reduce the number of those without health insurance. 24% of this segment had no health insurance. By addressing this, the percentage of those still without health insurance dropped almost in half (to only 13%). Contrasting this original 24% segment against the segment of families with incomes higher than this range, only 5% needed help. Almost five times as many people were helped from this category. (For more on this study, please refer to my series of articles entitled  “Mass Success, Pt.5 -- How does it all work?”, found in the June 2008 Archive of this site.)

 Continued…

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