<p>Massachusetts and Connecticut are their own district in the Rhodes Trust’s eyes (each district should have an average population of 20 million, but MA and CT combined are only 10 million). So there may be some bias to Harvard/Yale built into how districts are viewed. (A student can apply in the district of his/her home state or his/her college, if different. MA and CT students are very overrepresented at H and Y, which confers an advantage in this case.)</p>
<p>Region (districts): share of the US population, share of the 32 awards, over/underrepresentation</p>
<p>Northeast (1-4, excluding WV): 18% of country, 22 to 25% of awards, 20% to 37% overrepresentation
New England (1-2, excluding NJ): 4.5% of country, 9.4% of awards, 108% overrepresentation
New England+NJ (1-2): 7.3% of country, 12.5% of awards, 71% overrepresentation
East Coast (1-6, excluding GA and WV): 26% of country, 31% to 34% of awards, 20% to 32% overrepresentation
MA and CT: 10 million, 3.2% of country, 6.25% of awards, 95% overrepresentation</p>
<p>West: (14-16): 20.2% of country, 18.8% of awards, -7% underrepresentation
West (15-16): 18.8% of country, 12.5% of awards, -33.5% underrepresentation
West Coast (WA, OR, CA): 15.4% of country, 9.4% to 12.5% of awards, -39% to -20% underrepresentation
California: 38 million, 12.1% of country, 6.25% of awards, -48% underrepresentation</p>
<p>The Rhodes Trust says that all districts are equal in the FAQ, but it is telling that a full 25% of the words on the application process are about state residency (4 out of 26 questions); and the answer on how to determine state residency is the longest in the entire FAQ document. If all districts are equal and the choice of which district (home state or the state of the college) is simply one of convenience, then why is this issue addressed at such length by the Rhodes Trust?</p>
<p>It is up to you to decide whether variations in the popularity of applying (i.e. how many apply per 1000 of a state’s population?) and in the average competitiveness of the applicants can accurately explain the distribution.</p>