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	<title>Portland, Southern &#38; Coastal Maine Real Estate News and Housing Statistics - Portland ME Homes &#187; Southern Maine Real Estate</title>
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	<description>Maine Real Estate News by local  Portland Maine Real Estate Agent covering Southern and mid coastal Maine housing markets</description>
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		<title>Greater Portland real estate statistical report for Q3 2011</title>
		<link>http://www.mainepropertyblog.com/portland-maine-real-estate/greater-portland-real-estate-statistical-report-for-q3-2011</link>
		<comments>http://www.mainepropertyblog.com/portland-maine-real-estate/greater-portland-real-estate-statistical-report-for-q3-2011#comments</comments>
		<pubDate>Thu, 27 Oct 2011 14:30:52 +0000</pubDate>
		<dc:creator>jherrigel</dc:creator>
				<category><![CDATA[Portland Maine Real Estate]]></category>
		<category><![CDATA[Southern Maine Real Estate]]></category>

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		<description><![CDATA[By Kate Hodgson I have compiled the information in this report to help my clients stay informed about market trends and to help them make critical decisions while navigating the Greater Portland real estate market.  Data are gathered from records on the Maine Real Estate Information Service (MREIS) also known as the multiple listing service [...]]]></description>
			<content:encoded><![CDATA[<p><strong>By Kate Hodgson</strong></p>
<p><a href="http://www.mainepropertyblog.com/wp-content/uploads/2011/06/housinggraph.jpg"><img class="alignright size-full wp-image-484" title="housinggraph" src="http://www.mainepropertyblog.com/wp-content/uploads/2011/06/housinggraph.jpg" alt="" width="168" height="155" /></a>I have compiled the information in this report to help my clients stay informed about market trends and to help them make critical decisions while navigating the <a href="http://www.mymaineproperty.com/portland-maine-real-estate.php" target="_blank">Greater Portland real estate</a> market.  Data are gathered from records on the <a href="http://www.mainerealtors.com/" target="_blank">Maine Real Estate Information Service (MREIS)</a> also known as the multiple listing service (MLS).  The report presents information from 1998 forward as records prior to that are less reliable.</p>
<p>The information is consolidated into 4 categories based on market trends: 1. Portland and South Portland single family homes; 2. Cape Elizabeth, Falmouth, Scarborough and Yarmouth single family homes and condos; 3. Gorham, Gray, Westbrook and Windham single family homes and condos; and 4. Portland and South Portland condos.</p>
<p>Please note: for simplicity I will refer to the second quarter as Q3 and so on</p>
<p><strong>General trends in Q3 2011:</strong></p>
<p><strong>Sales</strong> are down and <strong>new listings</strong> are steady; this has brought modest improvement in the balance between <strong>inventory</strong> and <strong>sales</strong> for Q3 of 2011.</p>
<p><strong>Prices</strong> are down 7% overall from last year but have remained steady, or shown improvement, in some of the towns observed.</p>
<p>A note of caution: the sales figures for 2010 were skewed by the $8000 tax credit incentive which expired April 30 of that year. This pulled much of the year’s activity forward into the first 2 quarters.  Comparing the figures for this year to last year is fraught with pitfalls because we don’t know how many of those sales would have taken place later in the year, if at all, if the tax credit incentive had not been in place.  A more significant indication of trends is found by comparing 2011 figures with 2008 and 2009.</p>
<p><strong>1. Inventory and 2. Sales:</strong></p>
<p>Compared with Q3 of 2010, the number of <strong>new listings</strong> declined in all areas observed but the number of<strong> units sold</strong> was up 16% (probably due to last year’s tax credit acceleration).  The number of units sold is still lower than it has been for over 10 years.</p>
<p>In <strong>Portland and South Portland</strong> the number of single family homes sold increased 17% from Q3 last year.  More significantly, inventory decreased to 1.32 new listings for every property sold; the lowest Q3 ratio in 4 years and below the average for the 14 year period, indicating a healthier balance between supply and demand.</p>
<p>In <strong>Cape Elizabeth, <a href="http://www.mymaineproperty.com/falmouth-maine-real-esate.php" target="_blank">Falmouth</a>, Scarborough, and Yarmouth,</strong> the number of properties sold increased 15% from last year but was in line with Q3 of 2007 and 2009.  There were 1.41 new listings for every property sold, down substantially from last year, below the 14 year average, and the lowest Q3 ratio in 7 years.</p>
<p>In <strong>Gorham, Gray, Westbrook, and Windham</strong> the ratio was 1.82 new listings for every property sold in Q3 2011, in line with the figures from 2007 and 2008. The number of properties sold declined to the lowest level in the 14 year period.</p>
<p><strong>3. Prices:</strong></p>
<p>Prices have continued to show unpredictable fluctuations but at a more modest pace than recent years.  The average sale price increased 3% in Portland and South Portland and increased 2% in Windham, Westbrook, Gorham and Gray, but decreased 4% in Yarmouth, Falmouth, Cape Elizabeth and Scarborough.</p>
<p>Perhaps more significantly, sellers appear to be more realistic than recent years as the sales prices have been more closely aligned with the list prices at the time of sale.</p>
<p>The average sale price for all of these towns was $264,692 and the median price was $237,000.  The lowest sale for the quarter was $40,000 and the highest was $2,000,000, ironically both in Scarborough.</p>
<p><strong>The lowest low price:</strong></p>
<p>Again, the latest figures show that we are bumping along the bottom of the market.  The last quarter had the lowest list price, at the time of sale, in over 5 years which is holding steady around $45,000.  Highlights indicate the peaks and troughs for the 5 years shown.</p>
<table border="0" cellspacing="0" cellpadding="0" width="476" height="382">
<tbody>
<tr>
<td width="76" valign="bottom"></td>
<td width="64" valign="top">Total units sold</td>
<td width="64" valign="top">Number below $100,000</td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom">Lowest list price</td>
<td width="64" valign="bottom">Lowest sale price</td>
</tr>
<tr>
<td width="76" valign="bottom">2006 Q3</td>
<td width="64" valign="bottom">738</td>
<td width="64" valign="bottom">0</td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom">99000</td>
<td width="64" valign="bottom">101000</td>
</tr>
<tr>
<td width="76" valign="bottom">2006 Q4</td>
<td width="64" valign="bottom">670</td>
<td width="64" valign="bottom">2</td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom">69888</td>
<td width="64" valign="bottom">63000</td>
</tr>
<tr>
<td width="76" valign="bottom">2007 Q1</td>
<td width="64" valign="bottom">539</td>
<td width="64" valign="bottom">2</td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom">79888</td>
<td width="64" valign="bottom">73300</td>
</tr>
<tr>
<td width="76" valign="bottom">2007 Q2</td>
<td width="64" valign="bottom">774</td>
<td width="64" valign="bottom">3</td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom">75000</td>
<td width="64" valign="bottom">70000</td>
</tr>
<tr>
<td width="76" valign="bottom">2007 Q3</td>
<td width="64" valign="bottom">749</td>
<td width="64" valign="bottom">4</td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom">65000</td>
<td width="64" valign="bottom">55000</td>
</tr>
<tr>
<td width="76" valign="bottom">2007 Q4</td>
<td width="64" valign="bottom">491</td>
<td width="64" valign="bottom">4</td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom">78900</td>
<td width="64" valign="bottom">78900</td>
</tr>
<tr>
<td width="76" valign="bottom">2008 Q1</td>
<td width="64" valign="bottom">423</td>
<td width="64" valign="bottom">7</td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom">59000</td>
<td width="64" valign="bottom">45000</td>
</tr>
<tr>
<td width="76" valign="bottom">2008 Q2</td>
<td width="64" valign="bottom">628</td>
<td width="64" valign="bottom">7</td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom">85738</td>
<td width="64" valign="bottom">70000</td>
</tr>
<tr>
<td width="76" valign="bottom">2008 Q3</td>
<td width="64" valign="bottom">627</td>
<td width="64" valign="bottom">5</td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom">73500</td>
<td width="64" valign="bottom">52000</td>
</tr>
<tr>
<td width="76" valign="bottom">2008 Q4</td>
<td width="64" valign="bottom">426</td>
<td width="64" valign="bottom">7</td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom">79900</td>
<td width="64" valign="bottom">79900</td>
</tr>
<tr>
<td width="76" valign="bottom">2009 Q1</td>
<td width="64" valign="bottom">310</td>
<td width="64" valign="bottom">7</td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom">54900</td>
<td width="64" valign="bottom">53000</td>
</tr>
<tr>
<td width="76" valign="bottom">2009 Q2</td>
<td width="64" valign="bottom">561</td>
<td width="64" valign="bottom">9</td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom">60000</td>
<td width="64" valign="bottom">60000</td>
</tr>
<tr>
<td width="76" valign="bottom">2009 Q3</td>
<td width="64" valign="bottom">705</td>
<td width="64" valign="bottom">14</td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom">71800</td>
<td width="64" valign="bottom">69000</td>
</tr>
<tr>
<td width="76" valign="bottom">2009 Q4</td>
<td width="64" valign="bottom">597</td>
<td width="64" valign="bottom">10</td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom">50000</td>
<td width="64" valign="bottom">50000</td>
</tr>
<tr>
<td width="76" valign="bottom">2010 Q1</td>
<td width="64" valign="bottom">396</td>
<td width="64" valign="bottom">11</td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom">49900</td>
<td width="64" valign="bottom">65000</td>
</tr>
<tr>
<td width="76" valign="bottom">2010 Q2</td>
<td width="64" valign="bottom">774</td>
<td width="64" valign="bottom">13</td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom">50000</td>
<td width="64" valign="bottom">47000</td>
</tr>
<tr>
<td width="76" valign="bottom">2010 Q3</td>
<td width="64" valign="bottom">553</td>
<td width="64" valign="bottom">18</td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom">55900</td>
<td width="64" valign="bottom">55691</td>
</tr>
<tr>
<td width="76" valign="bottom">2010 Q4</td>
<td width="64" valign="bottom">469</td>
<td width="64" valign="bottom">13</td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom">49900</td>
<td width="64" valign="bottom">45000</td>
</tr>
<tr>
<td width="76" valign="bottom">2011 Q1</td>
<td width="64" valign="bottom">363</td>
<td width="64" valign="bottom">16</td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom">47100</td>
<td width="64" valign="bottom">50000</td>
</tr>
<tr>
<td width="76" valign="bottom">2011 Q2</td>
<td width="64" valign="bottom">573</td>
<td width="64" valign="bottom">30</td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom">45000</td>
<td width="64" valign="bottom">31500</td>
</tr>
<tr>
<td width="76" valign="bottom">2011 Q3</td>
<td width="64" valign="bottom">606</td>
<td width="64" valign="bottom">11</td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom">43900</td>
<td width="64" valign="bottom">40000</td>
</tr>
</tbody>
</table>
<p>&nbsp;</p>
<p><strong>4. Days on Market (DOM):</strong></p>
<p>The average number of days it is taking for a property to sell decreased in Portland, South Portland, Cape Elizabeth, Falmouth, Scarborough and Yarmouth, but increased in Gorham, Gray, Westbrook and Windham. This may be due in part to short sales becoming more streamlined and taking less time than in recent years.</p>
<table border="0" cellspacing="0" cellpadding="0" width="1123">
<tbody>
<tr>
<td width="149" valign="bottom">Quarter 3</td>
<td width="67" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="67" valign="bottom"></td>
<td width="67" valign="bottom"></td>
<td width="67" valign="bottom"></td>
<td width="67" valign="bottom"></td>
</tr>
<tr>
<td width="149" valign="bottom">Single Family</td>
<td width="67" valign="bottom">1998</td>
<td width="64" valign="bottom">1999</td>
<td width="64" valign="bottom">2000</td>
<td width="64" valign="bottom">2001</td>
<td width="64" valign="bottom">2002</td>
<td width="64" valign="bottom">2003</td>
<td width="64" valign="bottom">2004</td>
<td width="64" valign="bottom">2005</td>
<td width="64" valign="bottom">2006</td>
<td width="64" valign="bottom">2007</td>
<td width="64" valign="bottom">2008</td>
<td width="67" valign="bottom">2009</td>
<td width="67" valign="bottom">2010</td>
<td width="67" valign="bottom">2011</td>
<td width="67" valign="bottom"><strong>Q3</strong></td>
</tr>
<tr>
<td width="149" valign="bottom">Portland, South   Portland</td>
<td width="67" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="67" valign="bottom"></td>
<td width="67" valign="bottom"></td>
<td width="67" valign="bottom"></td>
<td width="67" valign="bottom">AVERAGE</td>
</tr>
<tr>
<td width="149" valign="bottom">Number listed</td>
<td width="67" valign="bottom">233</td>
<td width="64" valign="bottom">253</td>
<td width="64" valign="bottom">218</td>
<td width="64" valign="bottom">276</td>
<td width="64" valign="bottom">239</td>
<td width="64" valign="bottom">310</td>
<td width="64" valign="bottom">332</td>
<td width="64" valign="bottom">439</td>
<td width="64" valign="bottom">408</td>
<td width="64" valign="bottom">298</td>
<td width="64" valign="bottom">313</td>
<td width="67" valign="bottom">307</td>
<td width="67" valign="bottom">256</td>
<td width="67" valign="bottom">237</td>
<td width="67" valign="bottom">294</td>
</tr>
<tr>
<td width="149" valign="bottom">Number sold</td>
<td width="67" valign="bottom">225</td>
<td width="64" valign="bottom">201</td>
<td width="64" valign="bottom">193</td>
<td width="64" valign="bottom">243</td>
<td width="64" valign="bottom">206</td>
<td width="64" valign="bottom">250</td>
<td width="64" valign="bottom">250</td>
<td width="64" valign="bottom">247</td>
<td width="64" valign="bottom">202</td>
<td width="64" valign="bottom">228</td>
<td width="64" valign="bottom">175</td>
<td width="67" valign="bottom">200</td>
<td width="67" valign="bottom">149</td>
<td width="67" valign="bottom">179</td>
<td width="67" valign="bottom">211</td>
</tr>
<tr>
<td width="149" valign="bottom">#Listed/Sold</td>
<td width="67" valign="bottom">1.04</td>
<td width="64" valign="bottom">1.26</td>
<td width="64" valign="bottom">1.13</td>
<td width="64" valign="bottom">1.14</td>
<td width="64" valign="bottom">1.16</td>
<td width="64" valign="bottom">1.24</td>
<td width="64" valign="bottom">1.33</td>
<td width="64" valign="bottom">1.78</td>
<td width="64" valign="bottom">2.02</td>
<td width="64" valign="bottom">1.31</td>
<td width="64" valign="bottom">1.79</td>
<td width="67" valign="bottom">1.54</td>
<td width="67" valign="bottom">1.72</td>
<td width="67" valign="bottom">1.32</td>
<td width="67" valign="bottom">1.41</td>
</tr>
<tr>
<td width="149" valign="bottom">Average List Price</td>
<td width="67" valign="bottom">121578</td>
<td width="64" valign="bottom">134156</td>
<td width="64" valign="bottom">157134</td>
<td width="64" valign="bottom">171959</td>
<td width="64" valign="bottom">215278</td>
<td width="64" valign="bottom">232001</td>
<td width="64" valign="bottom">254084</td>
<td width="64" valign="bottom">278822</td>
<td width="64" valign="bottom">273178</td>
<td width="64" valign="bottom">303745</td>
<td width="64" valign="bottom">296294</td>
<td width="67" valign="bottom">258417</td>
<td width="67" valign="bottom">242233</td>
<td width="67" valign="bottom">249770</td>
<td width="67" valign="bottom">227761</td>
</tr>
<tr>
<td width="149" valign="bottom">Average Sale   Price</td>
<td width="67" valign="bottom">119032</td>
<td width="64" valign="bottom">130835</td>
<td width="64" valign="bottom">154322</td>
<td width="64" valign="bottom">170281</td>
<td width="64" valign="bottom">210363</td>
<td width="64" valign="bottom">227060</td>
<td width="64" valign="bottom">250000</td>
<td width="64" valign="bottom">273682</td>
<td width="64" valign="bottom">264647</td>
<td width="64" valign="bottom">294693</td>
<td width="64" valign="bottom">285175</td>
<td width="67" valign="bottom">246261</td>
<td width="67" valign="bottom">232489</td>
<td width="67" valign="bottom">238813</td>
<td width="67" valign="bottom">221261</td>
</tr>
<tr>
<td width="149" valign="bottom">% incr yr before</td>
<td width="67" valign="bottom"></td>
<td width="64" valign="bottom">0.09</td>
<td width="64" valign="bottom">0.15</td>
<td width="64" valign="bottom">0.09</td>
<td width="64" valign="bottom">0.19</td>
<td width="64" valign="bottom">0.07</td>
<td width="64" valign="bottom">0.09</td>
<td width="64" valign="bottom">0.09</td>
<td width="64" valign="bottom">-0.03</td>
<td width="64" valign="bottom">0.1</td>
<td width="64" valign="bottom">-0.03</td>
<td width="67" valign="bottom">-0.16</td>
<td width="67" valign="bottom">-0.06</td>
<td width="67" valign="bottom">0.03</td>
<td width="67" valign="bottom">0.05</td>
</tr>
<tr>
<td width="149" valign="bottom">SP/LP</td>
<td width="67" valign="bottom">0.98</td>
<td width="64" valign="bottom">0.98</td>
<td width="64" valign="bottom">0.98</td>
<td width="64" valign="bottom">0.99</td>
<td width="64" valign="bottom">0.98</td>
<td width="64" valign="bottom">0.98</td>
<td width="64" valign="bottom">0.98</td>
<td width="64" valign="bottom">0.98</td>
<td width="64" valign="bottom">0.97</td>
<td width="64" valign="bottom">0.97</td>
<td width="64" valign="bottom">0.96</td>
<td width="67" valign="bottom">0.95</td>
<td width="67" valign="bottom">0.96</td>
<td width="67" valign="bottom">0.96</td>
<td width="67" valign="bottom">0.97</td>
</tr>
<tr>
<td width="149" valign="bottom">DOM</td>
<td width="67" valign="bottom">51</td>
<td width="64" valign="bottom">36</td>
<td width="64" valign="bottom">52</td>
<td width="64" valign="bottom">27</td>
<td width="64" valign="bottom">33</td>
<td width="64" valign="bottom">40</td>
<td width="64" valign="bottom">38</td>
<td width="64" valign="bottom">38</td>
<td width="64" valign="bottom">55</td>
<td width="64" valign="bottom">65</td>
<td width="64" valign="bottom">65</td>
<td width="67" valign="bottom">77</td>
<td width="67" valign="bottom">83</td>
<td width="67" valign="bottom">74</td>
<td width="67" valign="bottom">52</td>
</tr>
<tr>
<td width="149" valign="bottom"></td>
<td width="67" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="67" valign="bottom"></td>
<td width="67" valign="bottom"></td>
<td width="67" valign="bottom"></td>
<td width="67" valign="bottom"></td>
</tr>
<tr>
<td width="149" valign="bottom">SF &amp; Condo</td>
<td width="67" valign="bottom">1998</td>
<td width="64" valign="bottom">1999</td>
<td width="64" valign="bottom">2000</td>
<td width="64" valign="bottom">2001</td>
<td width="64" valign="bottom">2002</td>
<td width="64" valign="bottom">2003</td>
<td width="64" valign="bottom">2004</td>
<td width="64" valign="bottom">2005</td>
<td width="64" valign="bottom">2006</td>
<td width="64" valign="bottom">2007</td>
<td width="64" valign="bottom">2008</td>
<td width="67" valign="bottom">2009</td>
<td width="67" valign="bottom">2010</td>
<td width="67" valign="bottom">2011</td>
<td width="67" valign="bottom"></td>
</tr>
<tr>
<td colspan="4" width="344" valign="bottom">Yarmouth, Falmouth,   Cape Elizabeth,   Scarborough</td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="67" valign="bottom"></td>
<td width="67" valign="bottom"></td>
<td width="67" valign="bottom"></td>
<td width="67" valign="bottom">AVERAGE</td>
</tr>
<tr>
<td width="149" valign="bottom">Number listed</td>
<td width="67" valign="bottom">236</td>
<td width="64" valign="bottom">230</td>
<td width="64" valign="bottom">206</td>
<td width="64" valign="bottom">274</td>
<td width="64" valign="bottom">276</td>
<td width="64" valign="bottom">285</td>
<td width="64" valign="bottom">297</td>
<td width="64" valign="bottom">361</td>
<td width="64" valign="bottom">374</td>
<td width="64" valign="bottom">346</td>
<td width="64" valign="bottom">336</td>
<td width="67" valign="bottom">337</td>
<td width="67" valign="bottom">290</td>
<td width="67" valign="bottom">275</td>
<td width="67" valign="bottom">295</td>
</tr>
<tr>
<td width="149" valign="bottom">Number sold</td>
<td width="67" valign="bottom">209</td>
<td width="64" valign="bottom">198</td>
<td width="64" valign="bottom">204</td>
<td width="64" valign="bottom">203</td>
<td width="64" valign="bottom">192</td>
<td width="64" valign="bottom">226</td>
<td width="64" valign="bottom">223</td>
<td width="64" valign="bottom">232</td>
<td width="64" valign="bottom">197</td>
<td width="64" valign="bottom">192</td>
<td width="64" valign="bottom">170</td>
<td width="67" valign="bottom">207</td>
<td width="67" valign="bottom">165</td>
<td width="67" valign="bottom">195</td>
<td width="67" valign="bottom">201</td>
</tr>
<tr>
<td width="149" valign="bottom">#Listed/Sold</td>
<td width="67" valign="bottom">1.13</td>
<td width="64" valign="bottom">1.16</td>
<td width="64" valign="bottom">1.01</td>
<td width="64" valign="bottom">1.35</td>
<td width="64" valign="bottom">1.44</td>
<td width="64" valign="bottom">1.26</td>
<td width="64" valign="bottom">1.33</td>
<td width="64" valign="bottom">1.56</td>
<td width="64" valign="bottom">1.90</td>
<td width="64" valign="bottom">1.80</td>
<td width="64" valign="bottom">1.98</td>
<td width="67" valign="bottom">1.63</td>
<td width="67" valign="bottom">1.76</td>
<td width="67" valign="bottom">1.41</td>
<td width="67" valign="bottom">1.48</td>
</tr>
<tr>
<td width="149" valign="bottom">List Price</td>
<td width="67" valign="bottom">206490</td>
<td width="64" valign="bottom">239911</td>
<td width="64" valign="bottom">276049</td>
<td width="64" valign="bottom">356925</td>
<td width="64" valign="bottom">328395</td>
<td width="64" valign="bottom">341285</td>
<td width="64" valign="bottom">419392</td>
<td width="64" valign="bottom">465188</td>
<td width="64" valign="bottom">503957</td>
<td width="64" valign="bottom">446304</td>
<td width="64" valign="bottom">384177</td>
<td width="67" valign="bottom">377743</td>
<td width="67" valign="bottom">402142</td>
<td width="67" valign="bottom">384835</td>
<td width="67" valign="bottom">366628</td>
</tr>
<tr>
<td width="149" valign="bottom">Sale   Price</td>
<td width="67" valign="bottom">197871</td>
<td width="64" valign="bottom">231046</td>
<td width="64" valign="bottom">269130</td>
<td width="64" valign="bottom">341936</td>
<td width="64" valign="bottom">318745</td>
<td width="64" valign="bottom">331285</td>
<td width="64" valign="bottom">405179</td>
<td width="64" valign="bottom">450069</td>
<td width="64" valign="bottom">490727</td>
<td width="64" valign="bottom">429264</td>
<td width="64" valign="bottom">368600</td>
<td width="67" valign="bottom">363082</td>
<td width="67" valign="bottom">382147</td>
<td width="67" valign="bottom">368194</td>
<td width="67" valign="bottom">353377</td>
</tr>
<tr>
<td width="149" valign="bottom">% incr yr before</td>
<td width="67" valign="bottom"></td>
<td width="64" valign="bottom">0.14</td>
<td width="64" valign="bottom">0.15</td>
<td width="64" valign="bottom">0.21</td>
<td width="64" valign="bottom">-0.08</td>
<td width="64" valign="bottom">0.05</td>
<td width="64" valign="bottom">0.17</td>
<td width="64" valign="bottom">0.11</td>
<td width="64" valign="bottom">0.09</td>
<td width="64" valign="bottom">-0.14</td>
<td width="64" valign="bottom">-0.07</td>
<td width="67" valign="bottom">-0.02</td>
<td width="67" valign="bottom">0.05</td>
<td width="67" valign="bottom">-0.04</td>
<td width="67" valign="bottom">0.05</td>
</tr>
<tr>
<td width="149" valign="bottom">SP/LP</td>
<td width="67" valign="bottom">0.96</td>
<td width="64" valign="bottom">0.96</td>
<td width="64" valign="bottom">0.97</td>
<td width="64" valign="bottom">0.96</td>
<td width="64" valign="bottom">0.97</td>
<td width="64" valign="bottom">0.97</td>
<td width="64" valign="bottom">0.97</td>
<td width="64" valign="bottom">0.97</td>
<td width="64" valign="bottom">0.97</td>
<td width="64" valign="bottom">0.96</td>
<td width="64" valign="bottom">0.96</td>
<td width="67" valign="bottom">0.96</td>
<td width="67" valign="bottom">0.95</td>
<td width="67" valign="bottom">0.96</td>
<td width="67" valign="bottom">0.96</td>
</tr>
<tr>
<td width="149" valign="bottom">DOM</td>
<td width="67" valign="bottom">86</td>
<td width="64" valign="bottom">55</td>
<td width="64" valign="bottom">51</td>
<td width="64" valign="bottom">53</td>
<td width="64" valign="bottom">55</td>
<td width="64" valign="bottom">56</td>
<td width="64" valign="bottom">58</td>
<td width="64" valign="bottom">62</td>
<td width="64" valign="bottom">82</td>
<td width="64" valign="bottom">66</td>
<td width="64" valign="bottom">72</td>
<td width="67" valign="bottom">88</td>
<td width="67" valign="bottom">96</td>
<td width="67" valign="bottom">94</td>
<td width="67" valign="bottom">70</td>
</tr>
<tr>
<td width="149" valign="bottom"></td>
<td width="67" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="67" valign="bottom"></td>
<td width="67" valign="bottom"></td>
<td width="67" valign="bottom"></td>
<td width="67" valign="bottom"></td>
</tr>
<tr>
<td width="149" valign="bottom">SF &amp; Condo</td>
<td width="67" valign="bottom">1998</td>
<td width="64" valign="bottom">1999</td>
<td width="64" valign="bottom">2000</td>
<td width="64" valign="bottom">2001</td>
<td width="64" valign="bottom">2002</td>
<td width="64" valign="bottom">2003</td>
<td width="64" valign="bottom">2004</td>
<td width="64" valign="bottom">2005</td>
<td width="64" valign="bottom">2006</td>
<td width="64" valign="bottom">2007</td>
<td width="64" valign="bottom">2008</td>
<td width="67" valign="bottom">2009</td>
<td width="67" valign="bottom">2010</td>
<td width="67" valign="bottom">2011</td>
<td width="67" valign="bottom"></td>
</tr>
<tr>
<td colspan="3" width="280" valign="bottom">Windham,   Westbrook, Gorham, Gray</td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="67" valign="bottom"></td>
<td width="67" valign="bottom"></td>
<td width="67" valign="bottom"></td>
<td width="67" valign="bottom">AVERAGE</td>
</tr>
<tr>
<td width="149" valign="bottom">Number listed</td>
<td width="67" valign="bottom">257</td>
<td width="64" valign="bottom">192</td>
<td width="64" valign="bottom">218</td>
<td width="64" valign="bottom">280</td>
<td width="64" valign="bottom">289</td>
<td width="64" valign="bottom">308</td>
<td width="64" valign="bottom">391</td>
<td width="64" valign="bottom">460</td>
<td width="64" valign="bottom">526</td>
<td width="64" valign="bottom">422</td>
<td width="64" valign="bottom">351</td>
<td width="67" valign="bottom">338</td>
<td width="67" valign="bottom">340</td>
<td width="67" valign="bottom">294</td>
<td width="67" valign="bottom">333</td>
</tr>
<tr>
<td width="149" valign="bottom">Number sold</td>
<td width="67" valign="bottom">228</td>
<td width="64" valign="bottom">200</td>
<td width="64" valign="bottom">211</td>
<td width="64" valign="bottom">207</td>
<td width="64" valign="bottom">206</td>
<td width="64" valign="bottom">223</td>
<td width="64" valign="bottom">230</td>
<td width="64" valign="bottom">274</td>
<td width="64" valign="bottom">241</td>
<td width="64" valign="bottom">217</td>
<td width="64" valign="bottom">189</td>
<td width="67" valign="bottom">219</td>
<td width="67" valign="bottom">170</td>
<td width="67" valign="bottom">164</td>
<td width="67" valign="bottom">213</td>
</tr>
<tr>
<td width="149" valign="bottom">#Listed/Sold</td>
<td width="67" valign="bottom">1.13</td>
<td width="64" valign="bottom">0.96</td>
<td width="64" valign="bottom">1.03</td>
<td width="64" valign="bottom">1.35</td>
<td width="64" valign="bottom">1.40</td>
<td width="64" valign="bottom">1.38</td>
<td width="64" valign="bottom">1.70</td>
<td width="64" valign="bottom">1.68</td>
<td width="64" valign="bottom">2.18</td>
<td width="64" valign="bottom">1.94</td>
<td width="64" valign="bottom">1.86</td>
<td width="67" valign="bottom">1.54</td>
<td width="67" valign="bottom">2.00</td>
<td width="67" valign="bottom">1.79</td>
<td width="67" valign="bottom">1.57</td>
</tr>
<tr>
<td width="149" valign="bottom">List Price</td>
<td width="67" valign="bottom">120025</td>
<td width="64" valign="bottom">128189</td>
<td width="64" valign="bottom">142872</td>
<td width="64" valign="bottom">163841</td>
<td width="64" valign="bottom">184431</td>
<td width="64" valign="bottom">217648</td>
<td width="64" valign="bottom">225355</td>
<td width="64" valign="bottom">263067</td>
<td width="64" valign="bottom">243296</td>
<td width="64" valign="bottom">254496</td>
<td width="64" valign="bottom">224018</td>
<td width="67" valign="bottom">222064</td>
<td width="67" valign="bottom">213525</td>
<td width="67" valign="bottom">215835</td>
<td width="67" valign="bottom">201333</td>
</tr>
<tr>
<td width="149" valign="bottom">Sale   Price</td>
<td width="67" valign="bottom">116169</td>
<td width="64" valign="bottom">125813</td>
<td width="64" valign="bottom">140950</td>
<td width="64" valign="bottom">160813</td>
<td width="64" valign="bottom">183224</td>
<td width="64" valign="bottom">213483</td>
<td width="64" valign="bottom">220954</td>
<td width="64" valign="bottom">258069</td>
<td width="64" valign="bottom">240062</td>
<td width="64" valign="bottom">249995</td>
<td width="64" valign="bottom">219513</td>
<td width="67" valign="bottom">215329</td>
<td width="67" valign="bottom">206660</td>
<td width="67" valign="bottom">210589</td>
<td width="67" valign="bottom">197259</td>
</tr>
<tr>
<td width="149" valign="bottom">% incr yr before</td>
<td width="67" valign="bottom"></td>
<td width="64" valign="bottom">0.08</td>
<td width="64" valign="bottom">0.12</td>
<td width="64" valign="bottom">0.11</td>
<td width="64" valign="bottom">0.14</td>
<td width="64" valign="bottom">0.13</td>
<td width="64" valign="bottom">0.04</td>
<td width="64" valign="bottom">0.15</td>
<td width="64" valign="bottom">-0.06</td>
<td width="64" valign="bottom">0.05</td>
<td width="64" valign="bottom">-0.14</td>
<td width="67" valign="bottom">-0.02</td>
<td width="67" valign="bottom">-0.04</td>
<td width="67" valign="bottom">0.02</td>
<td width="67" valign="bottom">0.04</td>
</tr>
<tr>
<td width="149" valign="bottom">SP/LP</td>
<td width="67" valign="bottom">0.97</td>
<td width="64" valign="bottom">0.98</td>
<td width="64" valign="bottom">0.99</td>
<td width="64" valign="bottom">0.98</td>
<td width="64" valign="bottom">0.99</td>
<td width="64" valign="bottom">0.98</td>
<td width="64" valign="bottom">0.98</td>
<td width="64" valign="bottom">0.98</td>
<td width="64" valign="bottom">0.99</td>
<td width="64" valign="bottom">0.98</td>
<td width="64" valign="bottom">0.98</td>
<td width="67" valign="bottom">0.97</td>
<td width="67" valign="bottom">0.97</td>
<td width="67" valign="bottom">0.98</td>
<td width="67" valign="bottom">0.98</td>
</tr>
<tr>
<td width="149" valign="bottom">DOM</td>
<td width="67" valign="bottom">106</td>
<td width="64" valign="bottom">72</td>
<td width="64" valign="bottom">55</td>
<td width="64" valign="bottom">43</td>
<td width="64" valign="bottom">47</td>
<td width="64" valign="bottom">67</td>
<td width="64" valign="bottom">61</td>
<td width="64" valign="bottom">59</td>
<td width="64" valign="bottom">83</td>
<td width="64" valign="bottom">80</td>
<td width="64" valign="bottom">98</td>
<td width="67" valign="bottom">80</td>
<td width="67" valign="bottom">89</td>
<td width="67" valign="bottom">97</td>
<td width="67" valign="bottom">74</td>
</tr>
<tr>
<td width="149" valign="bottom">CONDO</td>
<td width="67" valign="bottom">1998</td>
<td width="64" valign="bottom">1999</td>
<td width="64" valign="bottom">2000</td>
<td width="64" valign="bottom">2001</td>
<td width="64" valign="bottom">2002</td>
<td width="64" valign="bottom">2003</td>
<td width="64" valign="bottom">2004</td>
<td width="64" valign="bottom">2005</td>
<td width="64" valign="bottom">2006</td>
<td width="64" valign="bottom">2007</td>
<td width="64" valign="bottom">2008</td>
<td width="67" valign="bottom">2009</td>
<td width="67" valign="bottom">2010</td>
<td width="67" valign="bottom">2011</td>
<td width="67" valign="bottom"></td>
</tr>
<tr>
<td width="149" valign="bottom">Portland, South   Portland</td>
<td width="67" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="67" valign="bottom"></td>
<td width="67" valign="bottom"></td>
<td width="67" valign="bottom"></td>
<td width="67" valign="bottom">AVERAGE</td>
</tr>
<tr>
<td width="149" valign="bottom">Q2 Listed # units</td>
<td width="67" valign="bottom">61</td>
<td width="64" valign="bottom">48</td>
<td width="64" valign="bottom">57</td>
<td width="64" valign="bottom">75</td>
<td width="64" valign="bottom">137</td>
<td width="64" valign="bottom">74</td>
<td width="64" valign="bottom">163</td>
<td width="64" valign="bottom">217</td>
<td width="64" valign="bottom">211</td>
<td width="64" valign="bottom">207</td>
<td width="64" valign="bottom">161</td>
<td width="67" valign="bottom">128</td>
<td width="67" valign="bottom">117</td>
<td width="67" valign="bottom">109</td>
<td width="67" valign="bottom">126</td>
</tr>
<tr>
<td width="149" valign="bottom">Q2 Sold # units</td>
<td width="67" valign="bottom">64</td>
<td width="64" valign="bottom">64</td>
<td width="64" valign="bottom">62</td>
<td width="64" valign="bottom">64</td>
<td width="64" valign="bottom">76</td>
<td width="64" valign="bottom">80</td>
<td width="64" valign="bottom">118</td>
<td width="64" valign="bottom">135</td>
<td width="64" valign="bottom">98</td>
<td width="64" valign="bottom">112</td>
<td width="64" valign="bottom">92</td>
<td width="67" valign="bottom">78</td>
<td width="67" valign="bottom">70</td>
<td width="67" valign="bottom">68</td>
<td width="67" valign="bottom">84</td>
</tr>
<tr>
<td width="149" valign="bottom">#Listed/Sold</td>
<td width="67" valign="bottom">0.95</td>
<td width="64" valign="bottom">0.75</td>
<td width="64" valign="bottom">0.92</td>
<td width="64" valign="bottom">1.17</td>
<td width="64" valign="bottom">1.80</td>
<td width="64" valign="bottom">0.93</td>
<td width="64" valign="bottom">1.38</td>
<td width="64" valign="bottom">1.61</td>
<td width="64" valign="bottom">2.15</td>
<td width="64" valign="bottom">1.85</td>
<td width="64" valign="bottom">1.75</td>
<td width="67" valign="bottom">1.64</td>
<td width="67" valign="bottom">1.67</td>
<td width="67" valign="bottom">1.60</td>
<td width="67" valign="bottom">1.44</td>
</tr>
<tr>
<td width="149" valign="bottom">List Price</td>
<td width="67" valign="bottom">114291</td>
<td width="64" valign="bottom">105926</td>
<td width="64" valign="bottom">126925</td>
<td width="64" valign="bottom">142996</td>
<td width="64" valign="bottom">162986</td>
<td width="64" valign="bottom">202669</td>
<td width="64" valign="bottom">221778</td>
<td width="64" valign="bottom">249598</td>
<td width="64" valign="bottom">240277</td>
<td width="64" valign="bottom">259049</td>
<td width="64" valign="bottom">221538</td>
<td width="67" valign="bottom">192544</td>
<td width="67" valign="bottom">224452</td>
<td width="67" valign="bottom">216102</td>
<td width="67" valign="bottom">191509</td>
</tr>
<tr>
<td width="149" valign="bottom">Sale   Price</td>
<td width="67" valign="bottom">109739</td>
<td width="64" valign="bottom">104417</td>
<td width="64" valign="bottom">122802</td>
<td width="64" valign="bottom">140992</td>
<td width="64" valign="bottom">160088</td>
<td width="64" valign="bottom">200036</td>
<td width="64" valign="bottom">221424</td>
<td width="64" valign="bottom">245503</td>
<td width="64" valign="bottom">233267</td>
<td width="64" valign="bottom">250707</td>
<td width="64" valign="bottom">214970</td>
<td width="67" valign="bottom">184682</td>
<td width="67" valign="bottom">214730</td>
<td width="67" valign="bottom">209674</td>
<td width="67" valign="bottom">186645</td>
</tr>
<tr>
<td width="149" valign="bottom">% incr yr before</td>
<td width="67" valign="bottom"></td>
<td width="64" valign="bottom">-0.05</td>
<td width="64" valign="bottom">0.15</td>
<td width="64" valign="bottom">0.13</td>
<td width="64" valign="bottom">0.12</td>
<td width="64" valign="bottom">0.20</td>
<td width="64" valign="bottom">0.10</td>
<td width="64" valign="bottom">0.10</td>
<td width="64" valign="bottom">-0.05</td>
<td width="64" valign="bottom">0.07</td>
<td width="64" valign="bottom">-0.17</td>
<td width="67" valign="bottom">-0.16</td>
<td width="67" valign="bottom">0.14</td>
<td width="67" valign="bottom">-0.02</td>
<td width="67" valign="bottom">0.04</td>
</tr>
<tr>
<td width="149" valign="bottom">SP/LP</td>
<td width="67" valign="bottom">0.96</td>
<td width="64" valign="bottom">0.99</td>
<td width="64" valign="bottom">0.97</td>
<td width="64" valign="bottom">0.99</td>
<td width="64" valign="bottom">0.98</td>
<td width="64" valign="bottom">0.99</td>
<td width="64" valign="bottom">1.00</td>
<td width="64" valign="bottom">0.98</td>
<td width="64" valign="bottom">0.97</td>
<td width="64" valign="bottom">0.97</td>
<td width="64" valign="bottom">0.97</td>
<td width="67" valign="bottom">0.96</td>
<td width="67" valign="bottom">0.96</td>
<td width="67" valign="bottom">0.97</td>
<td width="67" valign="bottom">0.97</td>
</tr>
<tr>
<td width="149" valign="bottom">DOM</td>
<td width="67" valign="bottom">64</td>
<td width="64" valign="bottom">35</td>
<td width="64" valign="bottom">27</td>
<td width="64" valign="bottom">36</td>
<td width="64" valign="bottom">48</td>
<td width="64" valign="bottom">75</td>
<td width="64" valign="bottom">70</td>
<td width="64" valign="bottom">69</td>
<td width="64" valign="bottom">98</td>
<td width="64" valign="bottom">119</td>
<td width="64" valign="bottom">91</td>
<td width="67" valign="bottom">85</td>
<td width="67" valign="bottom">95</td>
<td width="67" valign="bottom">106</td>
<td width="67" valign="bottom">73</td>
</tr>
<tr>
<td colspan="5" width="408" valign="bottom"><strong>SP = Sale   Price, LP = List Price, DOM = Days on Market</strong></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="67" valign="bottom"></td>
<td width="67" valign="bottom"></td>
<td width="67" valign="bottom"></td>
<td width="67" valign="bottom"></td>
</tr>
<tr>
<td colspan="2" width="216" valign="bottom"><strong>Peak for 14 year period = </strong></td>
<td width="64" valign="bottom"><strong> </strong></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="67" valign="bottom"></td>
<td width="67" valign="bottom"></td>
<td width="67" valign="bottom"></td>
<td width="67" valign="bottom"></td>
</tr>
<tr>
<td colspan="5" width="408" valign="bottom"><strong>Underperforming per average for the 14 year period = </strong></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="67" valign="bottom"></td>
<td width="67" valign="bottom"></td>
<td width="67" valign="bottom"></td>
<td width="67" valign="bottom"></td>
</tr>
<tr>
<td colspan="4" width="344" valign="bottom"><strong>MREIS Information compiled by Kate Hodgson</strong></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="67" valign="bottom"></td>
<td width="67" valign="bottom"></td>
<td width="67" valign="bottom"></td>
<td width="67" valign="bottom"></td>
</tr>
</tbody>
</table>
<p>&nbsp;</p>
<p><strong>Snapshot of the real estate market in individual towns:</strong></p>
<p>The table below shows activity for individual towns in the Greater Portland area.  As a general rule I have regarded a market as active, with a healthy rate of turnover, when 20%-25% of the inventory is under contract (column in bold).  Percentages above that indicate a hotter market.  Information in the last 2 columns, on current inventory in relation to recent sales figures, also provides a good snapshot of supply and demand for these areas.</p>
<p>There are two interesting, and conflicting, features to this quarter:</p>
<p>1. There are fewer towns above 20% under contract than usual</p>
<p>2. There are no towns below the 10% mark</p>
<table border="0" cellspacing="0" cellpadding="0" width="507">
<tbody>
<tr>
<td width="126" valign="bottom">October 6, 2011</td>
<td width="64" valign="bottom">Current</td>
<td width="64" valign="bottom">Under Contract</td>
<td width="64" valign="bottom">Total Inventory</td>
<td width="63" valign="bottom"><strong>%UC</strong></td>
<td width="63" valign="bottom">Sold Q3</td>
<td width="63" valign="bottom"><strong>*</strong></td>
</tr>
<tr>
<td width="126" valign="bottom">Westbrook</td>
<td width="64" valign="bottom">104</td>
<td width="64" valign="bottom">37</td>
<td width="64" valign="bottom">141</td>
<td width="63" valign="bottom"><strong>0.26</strong></td>
<td width="63" valign="bottom">42</td>
<td width="63" valign="bottom">3.36</td>
</tr>
<tr>
<td width="126" valign="bottom">Portland</td>
<td width="64" valign="bottom">375</td>
<td width="64" valign="bottom">94</td>
<td width="64" valign="bottom">469</td>
<td width="63" valign="bottom"><strong>0.20</strong></td>
<td width="63" valign="bottom">166</td>
<td width="63" valign="bottom">2.83</td>
</tr>
<tr>
<td width="126" valign="bottom">Brunswick</td>
<td width="64" valign="bottom">140</td>
<td width="64" valign="bottom">35</td>
<td width="64" valign="bottom">175</td>
<td width="63" valign="bottom"><strong>0.20</strong></td>
<td width="63" valign="bottom">47</td>
<td width="63" valign="bottom">3.72</td>
</tr>
<tr>
<td width="126" valign="bottom">South Portland</td>
<td width="64" valign="bottom">163</td>
<td width="64" valign="bottom">35</td>
<td width="64" valign="bottom">198</td>
<td width="63" valign="bottom"><strong>0.18</strong></td>
<td width="63" valign="bottom">81</td>
<td width="63" valign="bottom">2.44</td>
</tr>
<tr>
<td width="126" valign="bottom">Gorham</td>
<td width="64" valign="bottom">129</td>
<td width="64" valign="bottom">27</td>
<td width="64" valign="bottom">156</td>
<td width="63" valign="bottom"><strong>0.17</strong></td>
<td width="63" valign="bottom">54</td>
<td width="63" valign="bottom">2.89</td>
</tr>
<tr>
<td width="126" valign="bottom">Windham</td>
<td width="64" valign="bottom">172</td>
<td width="64" valign="bottom">35</td>
<td width="64" valign="bottom">207</td>
<td width="63" valign="bottom"><strong>0.17</strong></td>
<td width="63" valign="bottom">50</td>
<td width="63" valign="bottom">4.14</td>
</tr>
<tr>
<td width="126" valign="bottom">Saco</td>
<td width="64" valign="bottom">180</td>
<td width="64" valign="bottom">36</td>
<td width="64" valign="bottom">216</td>
<td width="63" valign="bottom"><strong>0.17</strong></td>
<td width="63" valign="bottom">38</td>
<td width="63" valign="bottom">5.68</td>
</tr>
<tr>
<td width="126" valign="bottom">Scarborough</td>
<td width="64" valign="bottom">191</td>
<td width="64" valign="bottom">37</td>
<td width="64" valign="bottom">228</td>
<td width="63" valign="bottom"><strong>0.16</strong></td>
<td width="63" valign="bottom">64</td>
<td width="63" valign="bottom">3.56</td>
</tr>
<tr>
<td width="126" valign="bottom">Gray</td>
<td width="64" valign="bottom">83</td>
<td width="64" valign="bottom">16</td>
<td width="64" valign="bottom">99</td>
<td width="63" valign="bottom"><strong>0.16</strong></td>
<td width="63" valign="bottom">18</td>
<td width="63" valign="bottom">5.50</td>
</tr>
<tr>
<td width="126" valign="bottom">Topsham</td>
<td width="64" valign="bottom">68</td>
<td width="64" valign="bottom">13</td>
<td width="64" valign="bottom">81</td>
<td width="63" valign="bottom"><strong>0.16</strong></td>
<td width="63" valign="bottom">21</td>
<td width="63" valign="bottom">3.86</td>
</tr>
<tr>
<td width="126" valign="bottom">Dayton,Hollis,Lyman</td>
<td width="64" valign="bottom">103</td>
<td width="64" valign="bottom">19</td>
<td width="64" valign="bottom">122</td>
<td width="63" valign="bottom"><strong>0.16</strong></td>
<td width="63" valign="bottom">28</td>
<td width="63" valign="bottom">4.36</td>
</tr>
<tr>
<td width="126" valign="bottom">Cumberland</td>
<td width="64" valign="bottom">83</td>
<td width="64" valign="bottom">15</td>
<td width="64" valign="bottom">98</td>
<td width="63" valign="bottom"><strong>0.15</strong></td>
<td width="63" valign="bottom">40</td>
<td width="63" valign="bottom">2.45</td>
</tr>
<tr>
<td width="126" valign="bottom">Cape   Elizabeth</td>
<td width="64" valign="bottom">98</td>
<td width="64" valign="bottom">17</td>
<td width="64" valign="bottom">115</td>
<td width="63" valign="bottom"><strong>0.15</strong></td>
<td width="63" valign="bottom">39</td>
<td width="63" valign="bottom">2.95</td>
</tr>
<tr>
<td width="126" valign="bottom">D, NG, NoY, P</td>
<td width="64" valign="bottom">148</td>
<td width="64" valign="bottom">23</td>
<td width="64" valign="bottom">171</td>
<td width="63" valign="bottom"><strong>0.13</strong></td>
<td width="63" valign="bottom">36</td>
<td width="63" valign="bottom">4.75</td>
</tr>
<tr>
<td width="126" valign="bottom">Standish</td>
<td width="64" valign="bottom">117</td>
<td width="64" valign="bottom">18</td>
<td width="64" valign="bottom">135</td>
<td width="63" valign="bottom"><strong>0.13</strong></td>
<td width="63" valign="bottom">28</td>
<td width="63" valign="bottom">4.82</td>
</tr>
<tr>
<td width="126" valign="bottom">OOB</td>
<td width="64" valign="bottom">182</td>
<td width="64" valign="bottom">27</td>
<td width="64" valign="bottom">209</td>
<td width="63" valign="bottom"><strong>0.13</strong></td>
<td width="63" valign="bottom">34</td>
<td width="63" valign="bottom">6.15</td>
</tr>
<tr>
<td width="126" valign="bottom">Freeport</td>
<td width="64" valign="bottom">93</td>
<td width="64" valign="bottom">13</td>
<td width="64" valign="bottom">106</td>
<td width="63" valign="bottom"><strong>0.12</strong></td>
<td width="63" valign="bottom">36</td>
<td width="63" valign="bottom">2.94</td>
</tr>
<tr>
<td width="126" valign="bottom">Falmouth</td>
<td width="64" valign="bottom">155</td>
<td width="64" valign="bottom">21</td>
<td width="64" valign="bottom">176</td>
<td width="63" valign="bottom"><strong>0.12</strong></td>
<td width="63" valign="bottom">51</td>
<td width="63" valign="bottom">3.45</td>
</tr>
<tr>
<td width="126" valign="bottom">Raymond</td>
<td width="64" valign="bottom">101</td>
<td width="64" valign="bottom">13</td>
<td width="64" valign="bottom">114</td>
<td width="63" valign="bottom"><strong>0.11</strong></td>
<td width="63" valign="bottom">23</td>
<td width="63" valign="bottom">4.96</td>
</tr>
<tr>
<td width="126" valign="bottom">Yarmouth</td>
<td width="64" valign="bottom">70</td>
<td width="64" valign="bottom">9</td>
<td width="64" valign="bottom">79</td>
<td width="63" valign="bottom"><strong>0.11</strong></td>
<td width="63" valign="bottom">40</td>
<td width="63" valign="bottom">1.98</td>
</tr>
<tr>
<td width="126" valign="bottom">Biddeford</td>
<td width="64" valign="bottom">191</td>
<td width="64" valign="bottom">22</td>
<td width="64" valign="bottom">213</td>
<td width="63" valign="bottom"><strong>0.10</strong></td>
<td width="63" valign="bottom">42</td>
<td width="63" valign="bottom">5.07</td>
</tr>
<tr>
<td width="126" valign="bottom">Bath</td>
<td width="64" valign="bottom">123</td>
<td width="64" valign="bottom">14</td>
<td width="64" valign="bottom">137</td>
<td width="63" valign="bottom"><strong>0.10</strong></td>
<td width="63" valign="bottom">21</td>
<td width="63" valign="bottom">6.52</td>
</tr>
<tr>
<td colspan="7" width="507" valign="bottom"><strong>*</strong> indicates   one <strong>Listing</strong> on the market for every property <strong>Sold</strong> in Q2 of 2011</td>
</tr>
<tr>
<td width="126" valign="bottom">average</td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="63" valign="bottom"><strong>0.15</strong></td>
<td width="63" valign="bottom"></td>
<td width="63" valign="bottom"><strong>4.02</strong></td>
</tr>
<tr>
<td width="126" valign="bottom">median</td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom"></td>
<td width="63" valign="bottom"><strong>0.15</strong></td>
<td width="63" valign="bottom"></td>
<td width="63" valign="bottom"><strong>3.79</strong></td>
</tr>
</tbody>
</table>
<p>&nbsp;</p>
<p>D, NG, NoY, P* = Durham, New Gloucester, North Yarmouth, Pownal</p>
<p>&nbsp;</p>
<p><strong>Condos (Portland Maine  and South Portland):</strong></p>
<p>The <a href="http://www.portlandmainehome.com" target="_blank">Portland condo market</a> remained largely unchanged from Q3 of 2010. The number of new listings was down slightly and the number of units sold was almost the same. There were 1.6 new listings for every unit sold.</p>
<p>The number of days it is taking condos to sell increased slightly and the average sale price was down 2% over last year.</p>
<p>On October 18, 2011 there were 189 condos currently on the market in Portland and South Portland and 26 under contract, or 12% of total inventory. There were 3.16 condos on the market for every condo that sold in the third quarter of 2011, indicating a lackluster market.</p>
<p>&nbsp;</p>
<p><strong>Multi-units (2-4 unit properties in Portland, South Portland, Westbrook):</strong></p>
<p>By comparison the <a href="http://www.mymaineproperty.com/maine-investment-property.php" target="_blank">Maine multi-unit</a> market appears fairly robust.  The number of new listings was down slightly from last year but the number of units sold jumped 48%. Forty nine 2-4 unit properties sold in Q3 of 2011, the highest number since 2005 and slightly lower than the average for the 14 year period.</p>
<p>As of October 18, 2011 there are 111 2-4 unit properties on the market in Portland, South Portland, and Westbrook, with 26 of those under contract, or 23% of current inventory.  There were 2.36 listings for every unit that sold in Q3 2011.</p>
<p><strong>Links, notes and the news:</strong></p>
<p><strong>The good news:</strong></p>
<p>According to a recent report by Franklin American, construction spending and service sector spending are both up and the manufacturing sector is expanding.</p>
<p><strong>The bad news</strong>:</p>
<p>The number of jobs added doesn’t come close to the number lost since the recession started in December of 2007.</p>
<p><strong> </strong></p>
<p><strong>Let’s wait:</strong></p>
<p><strong>Buyers:</strong></p>
<p>Recent Bankrate.com surveys show that first-time home buyers are now favoring homes that are in move-in condition and are shying away from fixer-uppers.</p>
<p>According to Apartments.com, 20% of the respondents who are looking for apartments this year are current home owners; 28.8% of respondents said they were relocating for a job, up from 10.4% last year.  Even these respondents are being choosy; most said they are 5 months or more away from selecting a rental.</p>
<p><strong>Sellers:</strong></p>
<p>The WSJ also notes there is a “lack of attractive inventory” as voluntary sellers are withdrawing from the market, foreclosures are stalled because of irregularities, and the lack of demand is keeping prices soft.</p>
<p>Refinances currently account for 85% of loan origination and it takes around 3 years to recover the associated fees indicating that sellers intend to stay put that much longer. Additionally, permits for remodeling jumped 24% in July, according to Buildfax, signaling that potential sellers intend to make due for the time being.</p>
<p><strong>National Trends:</strong></p>
<p>The Census Bureau reported last week that the rate of home ownership dropped the largest amount since the great depression in the last decade yet the percentage of Americans who own their homes remains the second-highest on record.</p>
<p>At the same time, 30 Year fixed rate loans fell below 4% for the first time according to a Freddie Mac surve</p>
<p><strong>Interesting links:</strong></p>
<p>Refinancing Chills Demand for U.S. Home Purchases Amid Economic ‘Squeeze’</p>
<p>Bloomberg.com, by Kathleen Howley, Oct 14</p>
<p><a href="http://www.bloomberg.com/news/2011-10-14/refinancing-chills-demand-for-u-s-home-purchases-amid-economic-squeeze-.html">http://www.bloomberg.com/news/2011-10-14/refinancing-chills-demand-for-u-s-home-purchases-amid-economic-squeeze-.html</a></p>
<p>Economist stirs controversy with sunny housing forecast</p>
<p>Boston.com, by Scott Van Voorhis, Oct 14</p>
<p><a href="http://www.boston.com/realestate/news/blogs/renow/2011/10/economist_stirs.html">http://www.boston.com/realestate/news/blogs/renow/2011/10/economist_stirs.html</a></p>
<p>Slim Pickings are Latest Headache for Home Sales</p>
<p>WSJ.com, by Nick Timiraos, Oct 17</p>
<p><a href="http://online.wsj.com/article/SB10001424052970204774604576631381117760982.html">http://online.wsj.com/article/SB10001424052970204774604576631381117760982.html</a></p>
<p>&nbsp;</p>
<p>If you would like to discuss how this information can better inform questions you may have about buying or selling in your particular situation, please contact me: (207)807-1140 or <a href="mailto:katehodgson@yahoo.com">katehodgson@yahoo.com</a>.  You can also find me on twitter.com where I post trivia questions about Greater Portland history.</p>
]]></content:encoded>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Feb 2011 Southern Maine Market Update</title>
		<link>http://www.mainepropertyblog.com/portland-maine-real-estate/feb-2011-southern-maine-market-update</link>
		<comments>http://www.mainepropertyblog.com/portland-maine-real-estate/feb-2011-southern-maine-market-update#comments</comments>
		<pubDate>Fri, 25 Feb 2011 12:57:23 +0000</pubDate>
		<dc:creator>jherrigel</dc:creator>
				<category><![CDATA[Maine Real Estate News]]></category>
		<category><![CDATA[Portland Maine Real Estate]]></category>
		<category><![CDATA[Southern Maine Real Estate]]></category>

		<guid isPermaLink="false">http://www.mainepropertyblog.com/?p=429</guid>
		<description><![CDATA[The harsh weather conditions of December and January led to somewhat disappointing housing results for the month ending January 2011 in the regional marketplace.Â  Housing volume relative to December 2010 was down as much as 30%, however, the year over year comparison showed that despite all the cold weather.. volume was up over January 2010 [...]]]></description>
			<content:encoded><![CDATA[<p>The harsh weather conditions of December and January led to somewhat disappointing housing results for the month ending January 2011 in the regional marketplace.Â  Housing volume relative to December 2010 was down as much as 30%, however, the year over year comparison showed that despite all the cold weather.. volume was up over January 2010 figures.Â  The strongest markets continue to be Portland Maine proper with home and <a href="http://www.mymaineproperty.com/portland-maine-condos.html" target="_blank">condos sales in Portland</a> leading the way.</p>
<p>Mid Coastal Maine is still struggling to see activity, yet my sense is that once we thaw.. there is going to some serious real estate action in Maine.Â  Many buyers are looking and are simply having a hard time finding something given the lower inventories around, but this should change as Maine sellers will begin relisting as early as March 1st I suspect.</p>
<p>To read the complete <a href="http://www.mymaineproperty.com/home.php" target="_blank">January 2011 Maine real estate housing report please click here.</a></p>
<p>Thanks for stopping by and thanks to the <a href="http://www.mainerealtors.com" target="_blank">Maine Association of Realtors</a> for their statistics.<br />
John</p>
]]></content:encoded>
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		</item>
		<item>
		<title>2010 Year in Review for Greater Portland and Coastal Maine</title>
		<link>http://www.mainepropertyblog.com/maine-real-estate/2010-year-in-review-for-greater-portland-and-coastal-maine</link>
		<comments>http://www.mainepropertyblog.com/maine-real-estate/2010-year-in-review-for-greater-portland-and-coastal-maine#comments</comments>
		<pubDate>Fri, 21 Jan 2011 14:31:18 +0000</pubDate>
		<dc:creator>jherrigel</dc:creator>
				<category><![CDATA[Bath Maine real estate]]></category>
		<category><![CDATA[Brunswick Maine Real Estate]]></category>
		<category><![CDATA[Cape Elizabeth Real Estate]]></category>
		<category><![CDATA[Coastal Maine Real Estate]]></category>
		<category><![CDATA[Cumberland County Maine]]></category>
		<category><![CDATA[Cumberland Maine Real Estate]]></category>
		<category><![CDATA[Falmouth Maine Real Estate]]></category>
		<category><![CDATA[General Maine Real Estate]]></category>
		<category><![CDATA[Maine Real Estate News]]></category>
		<category><![CDATA[Mid Coastal Real Estate Maine]]></category>
		<category><![CDATA[Portland Maine Real Estate]]></category>
		<category><![CDATA[South Portland ME Real Estate]]></category>
		<category><![CDATA[Southern Maine Real Estate]]></category>
		<category><![CDATA[York County Maine]]></category>

		<guid isPermaLink="false">http://www.mainepropertyblog.com/?p=403</guid>
		<description><![CDATA[For the year ending 2010 the real estate markets in greater Portland and mid coastal Maine posted solid and stabilizing housing results. Overall transaction volume was almost identical to that seen in 2009 whilst median pricing actually rose 3% on a statistical basis, although in reality it seems housing prices are not really increasing or [...]]]></description>
			<content:encoded><![CDATA[<p><a href="http://www.mainepropertyblog.com/wp-content/uploads/2011/01/2010housingprices.jpg"><img class="alignright size-medium wp-image-405" title="2010housingprices" src="http://www.mainepropertyblog.com/wp-content/uploads/2011/01/2010housingprices-300x180.jpg" alt="" width="300" height="180" /></a>For the year ending 2010 the real estate markets in greater Portland and mid coastal Maine posted solid and stabilizing housing results. Overall transaction volume was almost identical to that seen in 2009 whilst median pricing actually rose 3% on a statistical basis, although in reality it seems housing prices are not really increasing or deceasing.Â  Many signs point to a strong year ahead of us in 2011.. the economy is improving, inventories are low, rates remain stable and the general overall vibe is strong.</p>
<p style="text-align: center;"><strong>Below are detailed housing statistics on all the communities within the region.</strong></p>
<table cellspacing="0" cellpadding="0" width="606" align="center">
<tbody>
<tr height="21">
<td width="122" height="21"></td>
<td class="subhead" colspan="3" align="center">Transaction Volume</td>
<td class="subhead" width="21"></td>
<td class="subhead" colspan="3" align="center">Median Prices</td>
</tr>
<tr height="25">
<td height="25"></td>
<td width="73">
<div><strong>2010</strong></div>
</td>
<td width="64">
<div><strong>2009</strong></div>
</td>
<td width="63">
<div><strong>Change</strong></div>
</td>
<td></td>
<td width="68">
<div><strong>2010</strong></div>
</td>
<td width="70">
<div><strong>2009</strong></div>
</td>
<td width="69">
<div><strong>Change</strong></div>
</td>
</tr>
<tr height="25">
<td height="25" bgcolor="#ffffcc"><a href="http://www.mymaineproperty.com/housing-statistics/portland-maine-home-housing-statistics.html">Portland Homes</a></td>
<td bgcolor="#ffffcc">
<div>399</div>
</td>
<td bgcolor="#ffffcc">
<div>413</div>
</td>
<td bgcolor="#ffffcc">
<div>-3%</div>
</td>
<td bgcolor="#ffffcc"></td>
<td bgcolor="#ffffcc">
<div>219</div>
</td>
<td bgcolor="#ffffcc">
<div>218</div>
</td>
<td bgcolor="#ffffcc">
<div>0%</div>
</td>
</tr>
<tr height="25">
<td height="25"><a href="http://www.mymaineproperty.com/housing-statistics/portland-maine-condo-housing-statistics.html">Portland Condos</a></td>
<td>
<div>238</div>
</td>
<td>
<div>206</div>
</td>
<td>
<div>16%</div>
</td>
<td></td>
<td>
<div>193</div>
</td>
<td>
<div>186</div>
</td>
<td>
<div>3%</div>
</td>
</tr>
<tr height="25">
<td height="25" bgcolor="#ffffcc"><a href="http://www.mymaineproperty.com/housing-statistics/south-portland-maine-housing-statistics.html">South Portland</a></td>
<td bgcolor="#ffffcc">
<div>278</div>
</td>
<td bgcolor="#ffffcc">
<div>289</div>
</td>
<td bgcolor="#ffffcc">
<div>-4%</div>
</td>
<td bgcolor="#ffffcc"></td>
<td bgcolor="#ffffcc">
<div>198</div>
</td>
<td bgcolor="#ffffcc">
<div>189</div>
</td>
<td bgcolor="#ffffcc">
<div>5%</div>
</td>
</tr>
<tr height="20">
<td height="20"><a href="http://www.mymaineproperty.com/housing-statistics/cape-elizabeth-maine-housing-statistics.html">Cape Elizabeth</a></td>
<td>
<div>134</div>
</td>
<td>
<div>114</div>
</td>
<td>
<div>18%</div>
</td>
<td></td>
<td>
<div>359</div>
</td>
<td>
<div>302</div>
</td>
<td>
<div>19%</div>
</td>
</tr>
<tr height="20">
<td height="20" bgcolor="#ffffcc"><a href="http://www.mymaineproperty.com/housing-statistics/falmouth-maine-housing-statistics.html">Falmouth</a></td>
<td bgcolor="#ffffcc">
<div>170</div>
</td>
<td bgcolor="#ffffcc">
<div>175</div>
</td>
<td bgcolor="#ffffcc">
<div>-3%</div>
</td>
<td bgcolor="#ffffcc"></td>
<td bgcolor="#ffffcc">
<div>399</div>
</td>
<td bgcolor="#ffffcc">
<div>376</div>
</td>
<td bgcolor="#ffffcc">
<div>6%</div>
</td>
</tr>
<tr height="20">
<td height="20">Westbrook</td>
<td>
<div>160</div>
</td>
<td>
<div>194</div>
</td>
<td>
<div>-18%</div>
</td>
<td></td>
<td>
<div>179</div>
</td>
<td>
<div>185</div>
</td>
<td>
<div>-3%</div>
</td>
</tr>
<tr height="20">
<td height="20" bgcolor="#ffffcc"><a href="http://www.mymaineproperty.com/housing-statistics/yarmouth-maine-housing-statistics.html">Yarmouth</a></td>
<td bgcolor="#ffffcc">
<div>100</div>
</td>
<td bgcolor="#ffffcc">
<div>88</div>
</td>
<td bgcolor="#ffffcc">
<div>14%</div>
</td>
<td bgcolor="#ffffcc"></td>
<td bgcolor="#ffffcc">
<div>281</div>
</td>
<td bgcolor="#ffffcc">
<div>342</div>
</td>
<td bgcolor="#ffffcc">
<div>-18%</div>
</td>
</tr>
<tr height="20">
<td height="20"><a title="scarborough home and condo housing data" href="http://www.mymaineproperty.com/housing-statistics/scarborough-maine-housing-statistics.html">Scarborough</a></td>
<td>
<div>221</div>
</td>
<td>
<div>223</div>
</td>
<td>
<div>-1%</div>
</td>
<td></td>
<td>
<div>292</div>
</td>
<td>
<div>297</div>
</td>
<td>
<div>-2%</div>
</td>
</tr>
<tr height="20">
<td height="20" bgcolor="#ffffcc"><a href="http://www.mymaineproperty.com/housing-statistics/freeport-maine-housing-statistics.html">Freeport</a></td>
<td bgcolor="#ffffcc">
<div>85</div>
</td>
<td bgcolor="#ffffcc">
<div>86</div>
</td>
<td bgcolor="#ffffcc">
<div>-1%</div>
</td>
<td bgcolor="#ffffcc"></td>
<td bgcolor="#ffffcc">
<div>288</div>
</td>
<td bgcolor="#ffffcc">
<div>249</div>
</td>
<td bgcolor="#ffffcc">
<div>16%</div>
</td>
</tr>
<tr height="20">
<td height="20"><a href="http://www.mymaineproperty.com/housing-statistics/brunswick-maine-housing-statistics.html">Brunswick</a></td>
<td>
<div>200</div>
</td>
<td>
<div>177</div>
</td>
<td>
<div>13%</div>
</td>
<td></td>
<td>
<div>198</div>
</td>
<td>
<div>206</div>
</td>
<td>
<div>-4%</div>
</td>
</tr>
<tr height="20">
<td height="20" bgcolor="#ffffcc"><a href="http://www.mymaineproperty.com/housing-statistics/bath-maine-housing-statistics.html">Bath</a></td>
<td bgcolor="#ffffcc">
<div>87</div>
</td>
<td bgcolor="#ffffcc">
<div>104</div>
</td>
<td bgcolor="#ffffcc">
<div>-16%</div>
</td>
<td bgcolor="#ffffcc"></td>
<td bgcolor="#ffffcc">
<div>142</div>
</td>
<td bgcolor="#ffffcc">
<div>128</div>
</td>
<td bgcolor="#ffffcc">
<div>12%</div>
</td>
</tr>
<tr height="21">
<td height="21">
<div><strong>TOTALS</strong></div>
</td>
<td>
<div><strong>2045</strong></div>
</td>
<td>
<div><strong>2036</strong></div>
</td>
<td>
<div><strong>0%</strong></div>
</td>
<td></td>
<td>
<div><strong>243</strong></div>
</td>
<td>
<div><strong>236</strong></div>
</td>
<td>
<div><strong>3%</strong></div>
</td>
</tr>
</tbody>
</table>
]]></content:encoded>
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		<title>October Real Estate Update for Southern Maine</title>
		<link>http://www.mainepropertyblog.com/maine-real-estate-news/october-real-estate-update-for-southern-maine</link>
		<comments>http://www.mainepropertyblog.com/maine-real-estate-news/october-real-estate-update-for-southern-maine#comments</comments>
		<pubDate>Thu, 02 Dec 2010 17:49:06 +0000</pubDate>
		<dc:creator>jherrigel</dc:creator>
				<category><![CDATA[Maine Real Estate News]]></category>
		<category><![CDATA[Southern Maine Real Estate]]></category>

		<guid isPermaLink="false">http://www.mainepropertyblog.com/?p=371</guid>
		<description><![CDATA[For the month ending October 31st, 2010, the southern and greater Portland Maine real estate markets continued to see much of the same&#8230; decreased demand and transaction volume year over year whilst median pricesÂ  were once again deceivingly up on a statistical basis as I believe this continues to be attributed to less first time [...]]]></description>
			<content:encoded><![CDATA[<p>For the month ending October 31st, 2010, the southern and greater <a href="http://www.portlandmainehome.com" target="_blank">Portland Maine real estate</a> markets continued to see much of the same&#8230; decreased demand and transaction volume year over year whilst median pricesÂ  were once again deceivingly up on a statistical basis as I believe this continues to be attributed to less first time home buyers in the marketplace at lower price point.</p>
<h3 style="text-align: center;"><strong>Maine Housing Results for October 2010</strong></h3>
<p><a href="http://www.mainepropertyblog.com/wp-content/uploads/2010/12/november2010housingstats.jpg"><img class="aligncenter size-full wp-image-372" title="november2010housingstats" src="http://www.mainepropertyblog.com/wp-content/uploads/2010/12/november2010housingstats.jpg" alt="" width="636" height="133" /></a></p>
<p><a href="http://www.mymaineproperty.com/maine-newsletter/november-2010-real-estate-newsletter.html" target="_blank">Click here for the complete Maine real estate report.</a></p>
<p>Overall I feel there is a lot of pent up demand in the marketplace and if rates continue to creep upÂ  I think we are going to see a significant pop in transaction volume which will further help to stabilize the regional marketplace.</p>
<p>Thanks for reading,</p>
<p>John</p>
]]></content:encoded>
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		<title>3rd Quarter Housing Report on Southern Maine</title>
		<link>http://www.mainepropertyblog.com/maine-housing-statistics/3rd-quarter-housing-report-on-southern-maine</link>
		<comments>http://www.mainepropertyblog.com/maine-housing-statistics/3rd-quarter-housing-report-on-southern-maine#comments</comments>
		<pubDate>Thu, 28 Oct 2010 21:28:10 +0000</pubDate>
		<dc:creator>jherrigel</dc:creator>
				<category><![CDATA[Maine Housing Statistics]]></category>
		<category><![CDATA[Maine Real Estate News]]></category>
		<category><![CDATA[Southern Maine Real Estate]]></category>

		<guid isPermaLink="false">http://www.mainepropertyblog.com/?p=343</guid>
		<description><![CDATA[This morning at our Greater Portland Board of Realtor&#8216;s meeting we were lucky enough to get the chief economist for the National Association of Realtor&#8217;s, Lawrence Yun, to come speak about the current state of our housing economy, from both a local and national perspective.Â  As optimistic as he tried to be.. he was very [...]]]></description>
			<content:encoded><![CDATA[<p>This morning at our <a href="http://www.greaterportlandboardofrealtors.com" target="_blank">Greater Portland Board of Realtor</a>&#8216;s meeting we were lucky enough to get the chief economist for the National Association of Realtor&#8217;s, Lawrence Yun, to come speak about the current state of our housing economy, from both a local and national perspective.Â  As optimistic as he tried to be.. he was very realistic and basically said it was a challenging environment and the recovery is slow, but Portland Maine has fared better than the average city!</p>
<p><a href="http://www.mainepropertyblog.com/wp-content/uploads/2010/10/3rdqtr2010housingprices.jpg"><img class="alignleft size-full wp-image-344" style="border: 1px solid black; margin: 3px;" title="3rd quarter home prices in Maine" src="http://www.mainepropertyblog.com/wp-content/uploads/2010/10/3rdqtr2010housingprices.jpg" alt="" width="227" height="137" /></a>With that said&#8230; here is some data on how the greater Portland residential housing market fared in the 3rd quarter of 2010. Â  <strong>490 homes and condos sold at a median price point of 250K</strong> r<strong>epresenting a transaction volume decrease of 37% and a pricing increase of 9% year over year </strong>although this pricing increase is moreÂ  a function of less first time home buyers in the marketplace than of real price appreciation.Â  <a href="http://www.mymaineproperty.com/maine-quarterly-reports/maine-3rdqrt-2010-housing-report.html" target="_blank">Read the full 3rd quarter Maine report here</a>.</p>
<p>It seems the markets of southern Maine have come alive as of late, but don&#8217;t <a href="http://www.mainepropertyblog.com/wp-content/uploads/2010/10/3rdqtr2010housingvolume.jpg"><img class="alignright size-full wp-image-345" style="border: 1px solid black; margin: 3px;" title="Housing volume in Maine 3rd Quarter" src="http://www.mainepropertyblog.com/wp-content/uploads/2010/10/3rdqtr2010housingvolume.jpg" alt="" width="212" height="127" /></a>expect any drastic gains in the near future. More than likely prices will flat line for a while, but with price stablizing buying has never been more attractive in this humble Realtor&#8217;s opinion.</p>
<p>You can search all <a href="http://www.mymainepropertysearch.com" target="_blank">Maine homes for sale</a> hereÂ  if you would like or leave a comment and let me know where you think the market will go.</p>
]]></content:encoded>
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		<title>October 2010 Southern ME Housing Update</title>
		<link>http://www.mainepropertyblog.com/maine-housing-statistics/october-2010-southern-maine-housing-market-update</link>
		<comments>http://www.mainepropertyblog.com/maine-housing-statistics/october-2010-southern-maine-housing-market-update#comments</comments>
		<pubDate>Thu, 21 Oct 2010 23:20:19 +0000</pubDate>
		<dc:creator>jherrigel</dc:creator>
				<category><![CDATA[Maine Housing Statistics]]></category>
		<category><![CDATA[Maine Real Estate News]]></category>
		<category><![CDATA[Mid Coastal Real Estate Maine]]></category>
		<category><![CDATA[Southern Maine Real Estate]]></category>

		<guid isPermaLink="false">http://www.mainepropertyblog.com/?p=313</guid>
		<description><![CDATA[Blogging from an ipad on a bus from Boston&#8230;. Having recently published my October housing newsletter on the real estate markets of York, Cumberland, Sagadahoc and LincolnÂ  counties it was no surprise to find that volume continues to remain off about 20% in the southern ME real estate markets compared with a year prior. Statistically [...]]]></description>
			<content:encoded><![CDATA[<p>Blogging from an ipad on a bus from Boston&#8230;.</p>
<p><a href="http://www.flickr.com/photos/91779914@N00/1018557535"><img class="alignleft" style="border: 1px solid black; margin: 5px;" title="MacBraynes Bus - 1961 Restored Bedford Coach 603CYS - used by Northern Constabulary Pipe Band" src="http://farm2.static.flickr.com/1230/1018557535_e3a580b2c9_m.jpg" border="0" alt="MacBraynes Bus - 1961 Restored Bedford Coach 603CYS - used by Northern Constabulary Pipe Band" hspace="5" width="153" height="135" /></a>Having recently published my <a href="http://www.mymaineproperty.com/maine-newsletter/october-2010-real-estate-newsletter.html" target="_blank">October housing newsletter</a> on the real estate markets of York, Cumberland, Sagadahoc and LincolnÂ  counties it was no surprise to find that volume continues to remain off about 20% in the <a href="http://southernmainehousing.blogspot.com/" target="_blank">southern ME real estate</a> markets compared with a year prior.</p>
<p>Statistically speaking <strong>prices were up in September</strong>, but these increases are more the result of a less first time home buyers in the marketplaceÂ  than of actual price increases.Â  Overall I feel the regional marketplace continues to see price stabilization.</p>
<p>Thus far through October buyer traffic has been stronger and with interest rates pushing 4%, if one qualify for a loan..DO IT!!!&#8230; these rates will not last!</p>
<p>Some questions going forward will be&#8230;How will the foreclosure fiasco play out&#8230;What will rates do?&#8230;Will title companies insure foreclosed properties? Will the Economy start generating jobs!!</p>
]]></content:encoded>
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		<title>April Housing Results for Southern Maine</title>
		<link>http://www.mainepropertyblog.com/real-estate-southern-maine/april-housing-results-for-southern-maine</link>
		<comments>http://www.mainepropertyblog.com/real-estate-southern-maine/april-housing-results-for-southern-maine#comments</comments>
		<pubDate>Thu, 27 May 2010 16:41:41 +0000</pubDate>
		<dc:creator>jherrigel</dc:creator>
				<category><![CDATA[Southern Maine Real Estate]]></category>

		<guid isPermaLink="false">http://www.mainepropertyblog.com/?p=247</guid>
		<description><![CDATA[Once again the southern Maine real estate markets posted extremely strong residential housing results for the month ending April 30th.Â  Housing volume for the more populated counties ofÂ  York and Cumberland was up 72% and 65% whilst the mid coastalÂ  markets of Sagadahoc and Lincoln were up 36% and 44%. Median pricing rose year over [...]]]></description>
			<content:encoded><![CDATA[<p>Once again the <a href="http://www.mymaineproperty.com" target="_blank">southern Maine real estate</a> markets posted extremely strong residential housing results for the month ending April 30th.Â  Housing volume for the more populated counties ofÂ  York and Cumberland was up 72% and 65% whilst the mid coastalÂ  markets of Sagadahoc and Lincoln were up 36% and 44%.</p>
<p>Median pricing rose year over year in all 4 counties with York and Lincoln counties leading the way upÂ  8% and 11% respectively.Â  Cumberland County, home to Portland, remained steady seeing a 2% rise in median pricing.Â  Additionally theÂ  days on market average continued to drop throughout the region.</p>
<p>The general feeling in the market place is encouraging.Â  Homes are selling if priced right, many active buyers are looking and sellers have for the most part have accepted what their homes are worth and thus are listing at realistic prices.</p>
<p>Please feel free to read the entire <a href="http://www.mymaineproperty.com/maine-newsletter/april-2010--homes-sale-strong-in-maine.html" target="_blank">southern ME housing report</a> here.</p>
<p>Thanks for reading,<br />
John</p>
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		<title>Greater Portland Residential Market Report â€“ April</title>
		<link>http://www.mainepropertyblog.com/portland-maine-real-estate/greater-portland-residential-market-report-%e2%80%93-april</link>
		<comments>http://www.mainepropertyblog.com/portland-maine-real-estate/greater-portland-residential-market-report-%e2%80%93-april#comments</comments>
		<pubDate>Thu, 13 May 2010 12:27:40 +0000</pubDate>
		<dc:creator>jherrigel</dc:creator>
				<category><![CDATA[Mid Coastal Real Estate Maine]]></category>
		<category><![CDATA[Portland Maine Real Estate]]></category>
		<category><![CDATA[Southern Maine Real Estate]]></category>

		<guid isPermaLink="false">http://www.mainepropertyblog.com/?p=244</guid>
		<description><![CDATA[Despite the expiration of the housing tax credits, the real estate markets in Portland Maine continue to buzz along at a healthy clip.Â  Many first time home buyers I have been working with were actually kind of relieved to have the pressure off of finding a place prior to April 30th.Â  Interest rates continue to [...]]]></description>
			<content:encoded><![CDATA[<p>Despite the expiration of the housing tax credits, the <a href="http://www.mymaineproperty.com/portland-maine-real-estate.php" target="_blank">real estate markets in Portland Maine</a> continue to buzz along at a healthy clip.Â  Many first time home buyers I have been working with were actually kind of relieved to have the pressure off of finding a place prior to April 30th.Â  Interest rates continue to remain low and if we can avoid 1000 point stock market drops everything will be just fine in the greater Portland and southern ME real estate markets.</p>
<p>For the month ending April 30th the region as a whole was up about 40% or more in transaction volume compared to a year prior and relatively flat compared to March figures.Â  Median pricing in Portland and South Portland was actually up 6% and 27% respectively year over year but the small sample sizes can be a bit misleading and overall pricing is stable to slightly increasing in the city whilst holding steady in the surrounding suburbs like Cape Elizabeth, Yarmouth and the real estate markets in Falmouth.</p>
<p>For more detailed overviews on the individual communities please visit my <a href="http://www.mymaineproperty.com/southern-maine-real-estate.html" target="_blank">southern ME real estate</a> or <a href="http://www.mymaineproperty.com/mid-coastal-maine-2009-home-report.html" target="_blank">mid coastal Maine housing</a> overview pages at www.mymaineproperty.com.</p>
<p>Thanks for reading,</p>
<p>John</p>
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		<title>1st Quarter 2010 Southern ME real estate report</title>
		<link>http://www.mainepropertyblog.com/maine-real-estate-news/1st-quarter-2010-southern-me-real-estate-report</link>
		<comments>http://www.mainepropertyblog.com/maine-real-estate-news/1st-quarter-2010-southern-me-real-estate-report#comments</comments>
		<pubDate>Mon, 12 Apr 2010 15:07:33 +0000</pubDate>
		<dc:creator>jherrigel</dc:creator>
				<category><![CDATA[Maine Real Estate News]]></category>
		<category><![CDATA[Southern Maine Real Estate]]></category>

		<guid isPermaLink="false">http://www.mainepropertyblog.com/?p=240</guid>
		<description><![CDATA[As the deadline for the housing tax credit looms communities here in Maine have benefited greatly thus far as the southern ME real estate market has been quite healthy and very active since about mid way through January. The southern and lower mid coastal Maine region as a whole has seen stabilizing prices with the [...]]]></description>
			<content:encoded><![CDATA[<p>As the deadline for the housing tax credit looms communities here in Maine have benefited greatly thus far as the <a href="http://www.mymaineproperty.com/southern-maine-real-estate.html" target="_blank">southern ME real estate</a> market has been quite healthy and very active since about mid way through January.</p>
<p>The southern and lower mid coastal Maine region as a whole has seen stabilizing prices with the past 3 quarters median prices clocking in at 228K, 229K and 225K respectively.Â  Transaction volume has also been strong, up 29% in the 1st quarter 2010 compared with the 1st quarter 2009.</p>
<p><a href="http://www.mymaineproperty.com/maine-quarterly-reports/maine-1stqtr10-home-report.html" target="_blank">The entire Maine real estate report can be obtained here</a> or by contacting me directly at <a href="mailto: john@greentreemaine.com">john@greentreemaine.com </a></p>
<p>Going forward look for continued growth in transaction volume coupled with steady pricing, butÂ  if rates continue to tick upwards thisÂ  market will see an end to its borderline euphoric state.<br />
Thanks for reading,</p>
<p>John</p>
]]></content:encoded>
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		<title>Southern Maine housing results in February</title>
		<link>http://www.mainepropertyblog.com/portland-maine-real-estate/southern-maine-housing-results-in-february</link>
		<comments>http://www.mainepropertyblog.com/portland-maine-real-estate/southern-maine-housing-results-in-february#comments</comments>
		<pubDate>Tue, 30 Mar 2010 12:13:17 +0000</pubDate>
		<dc:creator>jherrigel</dc:creator>
				<category><![CDATA[Portland Maine Real Estate]]></category>
		<category><![CDATA[Southern Maine Real Estate]]></category>

		<guid isPermaLink="false">http://www.mainepropertyblog.com/?p=237</guid>
		<description><![CDATA[For the month ending February 2010, the southern Maine real estate markets posted mixed results as most of the markets suffered from post-holiday hangover.Â  Some communities were up in prices, others were down.Â  Overall volume continues to be higher throughout the region. As I write the markets are as hot as they have been in [...]]]></description>
			<content:encoded><![CDATA[<p>For the month ending February 2010, the <a href="http://www.mymaineproperty.com" target="_blank">southern Maine real estate</a> markets posted mixed results as most of the markets suffered from post-holiday hangover.Â  Some communities were up in prices, others were down.Â  Overall volume continues to be higher throughout the region.</p>
<p>As I write the markets are as hot as they have been in well over 3 years thanks largely to the <a href="http://www.mymaineproperty.com/maine-first-time-tax-credit.html" target="_blank">first time home buyer tax credit</a> as well as the continued low interest rates, under 5% in most cases!Â  As March, April and May housing statistics become available be sure to check back in as I suspect we are going to see some very encouraging results. Many homes in the greater <a href="http://www.portlandmainehome.com" target="_blank">Portland Maine housing</a> market continue to see multiple offer situations, sold prices at or above asking prices and extremely healthy buyer interest.</p>
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