Data Source: https://www.realtor.com/research/data/

Original content made using QGIS and Libreoffice Calc.

What will this do to the value of land on the Great Plains?

Source: realtor.com/research/data Tools: QGIS, Libreoffice Calc

Thanks. So to grow meat in cellular agriculture requires sugars of some kind?

What are the inputs to produce synthetic meat? Soybeans? Wheat?

What will the implications be for regions where cattle production is the main economic activity?

Will synthetic meat be designed to be a healthy food using medical scientific research to maximize dietary benefits, or will the marketing of the product be used to maximize consumption and profit regardless of negative effects on consumers?

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.

Some people are able to see valuable information in it.

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.

That would be a percent increase.

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.

Each county is calculated seperately.

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 searched the source for "Taylor rule" but did not get a result that applied to this graph.

The software is QGIS. The County map is US Census Tiger Cartographic shapefile set by county. I have to make some changes to the realtor.com csv file, the county id numbers which start with 0 lose the initial 0 so I have to add the 0 and convert the field to text using Libreoffice Calc.

Fair criticism.

The data is by county. There are a number of data fields that provide counts of listings: active listings, pending listings, and total listings. There are also data fields for increased price listings, and price reduction listings. This map is based on reduced price listings divided by active listings times 100.

I am going to check if using the total listings as the denominator eliminates the problem that some counties show more reduced price listings than active listings.

There is either error iinin the data, or I used the wrong data field. It is probably my error, using active listings as the denominator instead of total listings.

This data is significant because it shows the market response by region to the increase in home financing cost over the past few months.

Percent of active listings, active in September, 2022 that have received a price reduction.