Sports in decline

I read this interesting article in the diminishing interest in surfing. Can Anyone Save the Surf Industry?. The author uses

All the outdoor individual sports seem to have declining interest as measured by google trends. This could be to do with how people search google. But it does look like they are getting less popular.

The good news is Golf also seems to be in the decline

Uhaul Map of the US

You rent a Uhaul truck in New York to move to a new job in Texas. UHaul will be left with a truck in Texas. If people really want to go New York -> Texas but less so Texas-> New York they will reduce the price of the Texas -> New York. If you get all the prices to move one way between all the cities in the US you end up with a good idea of where people are moving. And as people usually move for jobs where the jobs are.

The idea I saw first in Marginal Revolution. This blogpost seems to be where the whole UHaul weighted graph idea came from. Dan Armstrong and Páll Hilmarsson
I took a list of the 34 most populous US cities (all over 500,000) from wikipedia. This is 1122 links in total. The 294 cities is 86142 total links. You only seem to be able to get containers not trucks from Honolulu, Hawaii.
This is a Complete graph where each edge has a length and a weight/capacity (price). some cities are really cheap to leave because enough people are moving (sinking) there that UHaul want to get the trucks back to the cities people are leaving (source) The extreme costing trips are

Source	Destination	Price
San Jose, CA	Washington, DC	4237
San Francisco, CA	Baltimore, MD	4188
San Jose, CA	Baltimore, MD	4181
San Jose, CA	Washington, DC	4132
Baltimore, MD	Washington, DC	74
Washington, DC	Baltimore, MD	79

You can get the spreadsheet with all 1122 trips here

The trips with the biggest difference between one way and another are by price

Source	Destination	Round dif	Round ratio
San Jose, CA	Washington, DC	2404	2.3
San Francisco, CA	Washington, DC	2345	2.3
Philadelphia, PA	Portland, OR	2213	3

and by ratio

San Francisco, CA Las Vegas, NV 608 4.1

Source	Destination	Round dif	Round ratio
San Jose, CA	Las Vegas, NV	580	4.1
San Francisco, CA	Las Vegas, NV	608	4.1
Philadelphia, PA	Jacksonville, FL	1301	3.9

The spreadsheet with these calculation is here. the code to work all this out is pretty raw but it is here.
I will come back to this later and work out Eigenvalue Centrality and maybe how distance relates to prices. Also it would be interesting to see if some places are summer sinks and some winter sinks in a few months time.