Tonight I'm gathering data for my Mason Ohio market reports: Mason condos and Mason single family homes.
Pulling data is a crossover from my engineering life. Extract numbers, process them, determine context and form conclusions. Do it right and my clients benefit significantly. Miscalculate and I could cost them tens of thousands of dollars, so it's an aspect of this job I take seriously.
There's a famous quote out there about "Lies, damned lies, and statistics" and it would be pretty easy to turn statistics into lies and damned lies with just a little context manipulation, and that's pretty apparent when I look at January's sales data.
In engineering analysis we have what are called "outliers", They're data points that are SO different from the rest of the data pool that they just don't belong. With the right rationalization you can exclude them from your calculations so you truly represent the population and not distort the results.
For instance, in Mason there's quite the range of selling prices. In January, the least expensive home sold for $110,000. The most expensive? $1,900,000. We're nearing 20x more than the least expensive, so do you think that one home can alter the results?
You bet it can, especially in a month when sales are lower as they typically are in January. The net result? That one home sales moves the group average from $332,000 to $376,000. That's more than a minor adjustment. And it's another reason I prefer using median price rather than average price to better assess a market. That one home only moved the median $4,000. That's WAY better than $44,000.
And that same expensive home? They sold for $380,000 LESS than full asking price, so that can move the average sales to list % several digits by itself. Instead of the usual 97-98%, we're under 95%.
So while it's easy to crunch the numbers, it's just as important to provide the context. Is data skewed by a few outliers? What's normal? What's not? What's the method of comparison?
Get those answers right and your conclusions become more valuable.
Tomorrow, I'll write those reports! For tonight, it's time to feed our zoo :)
More questions about home buying or selling? Just call/text 513-520-5305 or email Liz@LizSpear.com and we can discuss how we can best help you!
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