MLS statistics

[J Grant]

View attachment 96256

If it was January to December and the January 2024 median price was $290k then the trend would be like this.

I do know what this graph represents, price per sf or price ? But relying on one month for a trend makes no sense in case it is due to just a few low sales or odd properties.
Are you still actively appraising?

 

[TerryRohrer]

I do know what this graph represents, price per sf or price ? But relying on one month for a trend makes no sense in case it is due to just a few low sales or odd properties.
Are you still actively appraising?

Funny that you can't read a basic graph with a Y-axis labeled "Price" but you are so superior to all beings that you can slander someone over your own ignorance. Typical.

 

[BRCJR]

Funny that you can't read a basic graph with a Y-axis labeled "Price" but you are so superior to all beings that you can slander someone over your own ignorance. Typical.

Superior as defined below:

Narcissist

 

[Tom D]

Create two charts. I bet they are different. They may be close but one will be utilizing some corrupt data.

I look at county, zip code, neighborhood and subject sim sales linear time chat. Yes, they can be all different. The MLS has a county graph showing a quaterly time, but if you look at each zip code in the presentation, each can be different, some up, some down, some nothing. So at least have something in your work file that shows you looked at more than your biased data and maybe there is a pattern to make your best guess. And corrupt data isn't necessarily corrupt. Can you judge 1 person by the group judgement. No, you have to look at outliers and their affect.

 

[BRCJR]

I look at county, zip code, neighborhood and subject sim sales linear time chat. Yes, they can be all different. The MLS has a county graph showing a quaterly time, but if you look at each zip code in the presentation, each can be different, some up, some down, some nothing. So at least have something in your work file that shows you looked at more than your biased data and maybe there is a pattern to make your best guess. And corrupt data isn't necessarily corrupt. Can you judge 1 person by the group judgement. No, you have to look at outliers and their affect.

so if the MLS data has zero used for sales price you do not think that could be considered misleading if you allow that and other incorrect inputs to be included in your conclusion(s) and or charts?

So, use the same filter (exact) for each chart you compare, pretty simple, in my opinion.

 

[ZZGAMAZZ]

I look at county, zip code, neighborhood and subject sim sales linear time chat. Yes, they can be all different. The MLS has a county graph showing a quaterly time, but if you look at each zip code in the presentation, each can be different, some up, some down, some nothing. So at least have something in your work file that shows you looked at more than your biased data and maybe there is a pattern to make your best guess. And corrupt data isn't necessarily corrupt. Can you judge 1 person by the group judgement. No, you have to look at outliers and their affect.

possibly too esoteric for the scenario, but if/when you exclude outliers from the results of a search, do you feel that it is necessary to mention that factor in a footnote, or in the Scope of Work of the assignment--or not at all if you feel that doing so is integral to this type of research/report, consequently to be assumed by an intended user?