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Blue means houses are selling more quickly than last month, red means houses are sitting around not being sold longer than last month.

It could be caused by seasonal changes, but in many cases, it is due to the higher cost of financing a home purchase, and prices which are too high for buyers.

I'm struggling to get anything from this. Looks like median days on market moved up or down largely independent of location? Or is there another point I'm missing?

It's seasonal in part for sure coming up on the winter months, generally it slows down some with people much less inclined to be disturbed by showings and the prospect of moving a household in the middle of winter.

However the economy isn't getting any better. Major corporations are laying people off, consumer confidence is taking a hit and corporations are sidelining any capital expenditures and expansion as the cost of borrowing goes up. This is what happens (as it is intended to) when interest rates go up to combat inflation.

Each county is calculated seperately.

Good can’t wait for it to crash

I get that. I just cant see any pattern. It just lookes like static.

A single color gradient would be better

Seem like a lot of noise and not much signal.

What is this scale? It looks like it's made so that each color has the same proportions of counties, but why would anyone decide to present it like this? You lose all nuance in the negative changes and it makes the visualization useless. The only thing I can gather from this is some counties went up, some went down.

West Central Florida's red zone coincides with the area damaged by Hurricane Ian.

If the median days on market increased by 24 days during a 30 day month that implies that sales have fallen off a cliff.

What does one month say?

Make a year or so.

Some of it is noise. You have to look for patterns, out west, in the north, in rural areas. But you are right, a lot of it is random.

That would be a percent increase.

Thank you for the correction

I can’t even understand the key.

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What is this map supposed to tell me?

i think this is quite cool actually — begs the question why? Why are neighboring counties seeing such a big difference. I think what others are pointing out is that could be caused by a ton of different variables (my guess is average home price would be a big cause) so adding another layer somehow might be cool.

Regions which have a lot of red counties are in a slowdown of demand, regions with blue counties saw an increase in demand, regions with a mix of colors are not seeing much change. The differences between individual counties are not that significant because local housing markets are varied and unique.

One thing you could take away is that there is no national housing crash, as some have predicted. There are some regions where demand has dropped from last month.

Great, so the conclusion is that this map tells me nothing, so why did you make it?

Some people are able to see valuable information in it.

How? Unless you know every single county thats on this map there is no use for it as it shows no pattern

Percent of what? If it was 1 hour and it went up 24% now its 1 hour 15 min?

Days. Each home listed for sale has been on the market for a certain number of days. The data for all listings in a county has been used to calculate a median number of days on market for each county. This statistic is reported each month by realtor.com. This map shows the change in that statistic from September to October.

Nice and informative, but i do have one quibble. In your scale, green straddles negative and positive values. You should break it into 2 ranges, namely the negative one up to but not including zero, and zero to the positive value. I presume what you show is due to some natural breaks in the data. But it should also be about what the data mean.

Also a time lapse movie going back as many months as you can gather would be nice. :-P

In this case a black and white scale would give more information than using colors. Or just any single color using shade/intensity.