Here are the Phoenix and East Valley real estate listings and sales stats for May…
| Current Listing Stats (June 1, 2007) | ||||
| Location | Active Listings | Avg List Price ($) | Avg Square Footage | Avg Days On Market |
| Gilbert | 2576 | 432,893 | 2441 | 90 |
| Mesa | 4339 | 337,962 | 1907 | 89 |
| Chandler | 2638 | 418,992 | 2254 | 89 |
| Tempe | 855 | 383,067 | 1731 | 80 |
| Phoenix Metro | 53,103 | 457,207 | 2157 | 98 |
| Current Sales Stats (May 1, 2007 – May 31, 2007) | ||||
| Location | Sales | Avg List Price ($) | Avg Sales Price ($) | Avg Days On Market |
| Gilbert | 315 | 350,967 | 341,645 | 95 |
| Mesa | 624 | 264,820 | 256,810 | 80 |
| Chandler | 349 | 365,487 | 355,024 | 84 |
| Tempe | 187 | 327,787 | 315,257 | 70 |
| Phoenix Metro | 5,744 | 359,382 | 346,128 | 89 |
Data extracted from ARMLS – Arizona Regional Multiple Listing Service
Anyone know an easy way to put tables in a WordPress post? This was far too painful…
Update: This plugin looks like it may be the easiest way to get tables into a WordPress post. I haven't fully tested it yet, but it looks very promising… you can import CSV files as tables, format table settings, etc. all within your WP back end.
[tags]Phoenix real estate, listings and sales stats[/tags]
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The numbers do not make sense to me. The average days on market are all in the neighborhood of 3 months while the ratio of units sold to units listed indicate between 5 and 10 months of inventory. Could you explain that to this newbie?
Your readers might be interested in this graph of Metro Phoenix Notices of Foreclosure. May was a record high.
Hugh –
I suspect what you’re seeing is due to using averages. The actual DOM varies wildly. Remember, if one home sells in a day, and another sells in 180 days, you’ve got a 90 day average DOM.
Also, the average DOM is trending upward (which you can’t tell from the above data).
And we get new listings coming on the market every day, which suppresses the average DOM number.
What would be telling is to plot a histogram of DOM for current listings. Unfortunately, that would be very painful data to extract from our MLS…