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submitted 11 months ago by yogthos@lemmy.ml to c/usa@lemmy.ml
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[-] etymosis@lemmy.ca 1 points 11 months ago

Do you have the source for that graph?

[-] hexaflexagonbear@hexbear.net 1 points 11 months ago* (last edited 11 months ago)

Is income quintile using the same cutoff on botj graphs or computed for the two populations seperately? Shocked there's almost no difference in transportation costs in the no vehicle group. Is there more geographic variance?

(I'm certain public transit is cheaper than car ownership, just that part of the data looks odd, might be a visualization issue)

[-] ryathal@sh.itjust.works 1 points 11 months ago

The income cutoff is the same, but the size of each quintile is radically different in the no car section. Only 3% of the top 2 quintiles don't own a car, while it's 11-17% in the other 3 quintiles. The data for the top two quintiles is basically irrelevant.

[-] ryathal@sh.itjust.works 1 points 11 months ago

It would be good to know distance traveled, but that's likely impossible to track with any accuracy. Outside the lowest quintile I wouldn't be surprised if the 2-4x increased spending also included 2-4x as many miles traveled.

[-] yogthos@lemmy.ml -2 points 11 months ago

These things go hand in hand. The reason people need to own a car is precisely because of a lot of cities don't have amenities within walking distance. Hence you end up doing more travel if you live in a place like that.

this post was submitted on 04 Oct 2023
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