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Now I've got stats to back up my failures. I don't know if that's a good thing or not...
Summary: Springfield, MA is where it's at.
I'd seen this before, but not with the age being adjustable. I see that the male to female ratio is significantly worse for my location, sexual preference, and age range than it was just for the first two.
Adjust the age range to be 18-44, and you see that ALL cities are lopsided male below 44. Since there are roughly the same number of men and women out there, how can this possibly be right?

"Single is counted as being never married, divorced or widowed."

Aha. So this is ACTUALLY a map of when people first marry, and females tend to uniformly marry [and divorce] earlier, versus men who sometimes wait until later. Thank goodness, the map was really starting to worry me.

There aren't the same number of men and women out there. There are a lot more older women than older men.

That said, I don't see why the definition of "single" makes a difference to you, unless your concern was that we're going to have a catastrophic shortage of women in 50 years. Women may simply marry earlier in life, but you're still just as screwed if you're a young guy (Or not, as the case may be.)

I find this almost more valuable for the list of caveats to the data than the viz itself.

It's really nice to see them break down why it seems to skew so male at the younger ages, as opposed to OH NO THERE ARE NO GIRLS.

P.S.: Oh no, there are no girls! =)

anyone know what he might have used to make this? looks like a java applet. processing? prefuse? something else? homegrown?
yup, processing. one day i'll give in to the people who complain that i'm not using flash, but until then it's processing all the way.