Freeport, Kansas - Statistically

Freeport, Kansas

This is the Wikipedia entry for Freeport, Kansas--smallest incoporated city in KS witha population of 6, as of the 2000 census. At one point, I heard a claim that it was the smallest incorporated city in the U.S. that had it's own bank.

As with many towns, someone has pulled all the Geographic and Demographic information from government sources and added it to Wikipedia to create an entry. I suspect it may have even been done in some automatic way, for there are some slightly odd statements within the entry.

This population of 6 has "3 households and 3 families."
> "The population density was 31.5 people per square mile." (OK, I undestand statistically how that works out, but logically, where did the other 25.5 people come from?)
> "There were 3 households out of which none had persons under the age of 18 living with them, 66.7% were married couples living together and 33.3% had a female house holder with no husband present." (Wouldn't it be just as easy to say there were 2 married couples and 1 single woman?)
> "In the city the population was spread out with 33.3% from 45 to 64 and 66.7% who were 65 years of age or older. The median age was 66 years." (I'm not sure "spread out" is an accurate assessment of the resident's ages when 100% of the population is in the two highest age brackets.)
> "For every 100 females there were 100 males. For every 100 females age 18 and over, there were 100 males." (Since both 2 sentences before and the paragraph before stated that there is no one under 18 in the town, I think the second statement was a bit redundant.)
> "Males had a median income of $0 versus $0 for females. . . .None of the population and none of the families were below the poverty line." (Those two sentences just look mutually exclusive. Ok, the previous sentence states the median income for town's families and households--$31,250 in both cases--and the missing sentence states the city's per capita income--$14,590. So I'm not sure how that came into a $0 median income for males/females.)

Statistics are very useful for comparing groups, but when it comes to describing such a small data set, it still looks odd to me. Maybe I need to go take another statistics class.