<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>South Jersey &#187; Roxanne</title>
	<atom:link href="http://www.roxanneardary.com/blog/author/roxanne/feed/" rel="self" type="application/rss+xml" />
	<link>http://www.roxanneardary.com</link>
	<description>Real Estate and Homes for Sale</description>
	<lastBuildDate>Thu, 15 Dec 2011 15:43:06 +0000</lastBuildDate>
	<language>en</language>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
	
		<item>
		<title>Cinnaminson NJ Home Sales Report</title>
		<link>http://www.roxanneardary.com/blog/cinnaminson-nj-home-sales-0209/</link>
		<comments>http://www.roxanneardary.com/blog/cinnaminson-nj-home-sales-0209/#comments</comments>
		<pubDate>Sat, 21 Mar 2009 13:32:39 +0000</pubDate>
		<dc:creator>Roxanne</dc:creator>
				<category><![CDATA[Burlington County]]></category>
		<category><![CDATA[Cinnaminson]]></category>
		<category><![CDATA[South Jersey]]></category>

		<guid isPermaLink="false">http://www.roxanneardary.com/?p=293</guid>
		<description><![CDATA[Cinnaminson, NJ real estate market activity report as of March 21, 2009.  Cinnaminson currently has 113 active MLS listings within Trend MLS.  The historical data provided is for February 2008 through February 2009, in which there was an average of 9 residential properties sold per month giving Cinnaminson an inventory accumulation of 12 months.  Monthly Statistics for [...]]]></description>
			<content:encoded><![CDATA[<p>Cinnaminson, NJ real estate market activity report as of March 21, 2009.  Cinnaminson currently has 113 active MLS listings within Trend MLS.  The historical data provided is for February 2008 through February 2009, in which there was an average of 9 residential properties sold per month giving <a href="http://www.roxanneardary.com/burlington-county-real-estate/cinnaminson/">Cinnaminson</a> an inventory accumulation of 12 months.  </p>
<p><strong>Monthly Statistics for Cinnaminson, NJ between February 2008 and February 2009</strong></p>
<table id="Table2" border="1" cellspacing="0" cellpadding="0" width="600">
<tbody>
<tr>
<td width="16%" valign="top">
<p align="right"><strong>Date</strong></p>
</td>
<td width="7%" valign="top">
<p align="right"><strong>Units Listed</strong></p>
</td>
<td width="11%" valign="top">
<p align="right"><strong>Listed Average</strong></p>
</td>
<td width="9%" valign="top">
<p align="right"><strong>Pended</strong></p>
</td>
<td width="9%" valign="top">
<p align="right"><strong>Units Sold</strong></p>
</td>
<td width="9%" valign="top">
<p align="right"><strong>Sold Average</strong></p>
</td>
<td width="9%" valign="top">
<p align="right"><strong>Average DOM</strong></p>
</td>
</tr>
<tr>
<td width="16%" valign="top">
<p align="right">Feb 2009</p>
</td>
<td width="7%" valign="top">
<p align="right">23</p>
</td>
<td width="11%" valign="top">
<p align="right">387,041</p>
</td>
<td width="9%" valign="top">
<p align="right">8</p>
</td>
<td width="9%" valign="top">
<p align="right">9</p>
</td>
<td width="9%" valign="top">
<p align="right">240,155</p>
</td>
<td width="9%" valign="top">
<p align="right">114</p>
</td>
</tr>
<tr>
<td width="16%" valign="top">
<p align="right">Jan 2009</p>
</td>
<td width="7%" valign="top">
<p align="right">19</p>
</td>
<td width="11%" valign="top">
<p align="right">296,320</p>
</td>
<td width="9%" valign="top">
<p align="right">11</p>
</td>
<td width="9%" valign="top">
<p align="right">9</p>
</td>
<td width="9%" valign="top">
<p align="right">214,166</p>
</td>
<td width="9%" valign="top">
<p align="right">123</p>
</td>
</tr>
<tr>
<td width="16%" valign="top">
<p align="right">Dec 2008</p>
</td>
<td width="7%" valign="top">
<p align="right">16</p>
</td>
<td width="11%" valign="top">
<p align="right">231,418</p>
</td>
<td width="9%" valign="top">
<p align="right">9</p>
</td>
<td width="9%" valign="top">
<p align="right">7</p>
</td>
<td width="9%" valign="top">
<p align="right">229,500</p>
</td>
<td width="9%" valign="top">
<p align="right">117</p>
</td>
</tr>
<tr>
<td width="16%" valign="top">
<p align="right">Nov 2008</p>
</td>
<td width="7%" valign="top">
<p align="right">18</p>
</td>
<td width="11%" valign="top">
<p align="right">250,659</p>
</td>
<td width="9%" valign="top">
<p align="right">4</p>
</td>
<td width="9%" valign="top">
<p align="right">7</p>
</td>
<td width="9%" valign="top">
<p align="right">287,857</p>
</td>
<td width="9%" valign="top">
<p align="right">89</p>
</td>
</tr>
<tr>
<td width="16%" valign="top">
<p align="right">Oct 2008</p>
</td>
<td width="7%" valign="top">
<p align="right">26</p>
</td>
<td width="11%" valign="top">
<p align="right">281,857</p>
</td>
<td width="9%" valign="top">
<p align="right">8</p>
</td>
<td width="9%" valign="top">
<p align="right">6</p>
</td>
<td width="9%" valign="top">
<p align="right">282,583</p>
</td>
<td width="9%" valign="top">
<p align="right">85</p>
</td>
</tr>
<tr>
<td width="16%" valign="top">
<p align="right">Sep 2008</p>
</td>
<td width="7%" valign="top">
<p align="right">25</p>
</td>
<td width="11%" valign="top">
<p align="right">298,316</p>
</td>
<td width="9%" valign="top">
<p align="right">8</p>
</td>
<td width="9%" valign="top">
<p align="right">8</p>
</td>
<td width="9%" valign="top">
<p align="right">253,812</p>
</td>
<td width="9%" valign="top">
<p align="right">90</p>
</td>
</tr>
<tr>
<td width="16%" valign="top">
<p align="right">Aug 2008</p>
</td>
<td width="7%" valign="top">
<p align="right">25</p>
</td>
<td width="11%" valign="top">
<p align="right">317,811</p>
</td>
<td width="9%" valign="top">
<p align="right">10</p>
</td>
<td width="9%" valign="top">
<p align="right">15</p>
</td>
<td width="9%" valign="top">
<p align="right">261,973</p>
</td>
<td width="9%" valign="top">
<p align="right">106</p>
</td>
</tr>
<tr>
<td width="16%" valign="top">
<p align="right">July 2008</p>
</td>
<td width="7%" valign="top">
<p align="right">29</p>
</td>
<td width="11%" valign="top">
<p align="right">318,975</p>
</td>
<td width="9%" valign="top">
<p align="right">11</p>
</td>
<td width="9%" valign="top">
<p align="right">10</p>
</td>
<td width="9%" valign="top">
<p align="right">280,090</p>
</td>
<td width="9%" valign="top">
<p align="right">31</p>
</td>
</tr>
<tr>
<td width="16%" valign="top">
<p align="right">June 2008</p>
</td>
<td width="7%" valign="top">
<p align="right">19</p>
</td>
<td width="11%" valign="top">
<p align="right">293,542</p>
</td>
<td width="9%" valign="top">
<p align="right">11</p>
</td>
<td width="9%" valign="top">
<p align="right">16</p>
</td>
<td width="9%" valign="top">
<p align="right">304,453</p>
</td>
<td width="9%" valign="top">
<p align="right">102</p>
</td>
</tr>
<tr>
<td width="16%" valign="top">
<p align="right">May 2008</p>
</td>
<td width="7%" valign="top">
<p align="right">26</p>
</td>
<td width="11%" valign="top">
<p align="right">306,095</p>
</td>
<td width="9%" valign="top">
<p align="right">10</p>
</td>
<td width="9%" valign="top">
<p align="right">6</p>
</td>
<td width="9%" valign="top">
<p align="right">277,500</p>
</td>
<td width="9%" valign="top">
<p align="right">90</p>
</td>
</tr>
<tr>
<td width="16%" valign="top">
<p align="right">Apr 2008</p>
</td>
<td width="7%" valign="top">
<p align="right">25</p>
</td>
<td width="11%" valign="top">
<p align="right">367,284</p>
</td>
<td width="9%" valign="top">
<p align="right">10</p>
</td>
<td width="9%" valign="top">
<p align="right">12</p>
</td>
<td width="9%" valign="top">
<p align="right">232,700</p>
</td>
<td width="9%" valign="top">
<p align="right">72</p>
</td>
</tr>
<tr>
<td width="16%" valign="top">
<p align="right">Mar 2008</p>
</td>
<td width="7%" valign="top">
<p align="right">24</p>
</td>
<td width="11%" valign="top">
<p align="right">368,162</p>
</td>
<td width="9%" valign="top">
<p align="right">16</p>
</td>
<td width="9%" valign="top">
<p align="right">5</p>
</td>
<td width="9%" valign="top">
<p align="right">250,280</p>
</td>
<td width="9%" valign="top">
<p align="right">97</p>
</td>
</tr>
<tr>
<td width="16%" valign="top">
<p align="right">Feb 2008</p>
</td>
<td width="7%" valign="top">
<p align="right">26</p>
</td>
<td width="11%" valign="top">
<p align="right">297,819</p>
</td>
<td width="9%" valign="top">
<p align="right">5</p>
</td>
<td width="9%" valign="top">
<p align="right">8</p>
</td>
<td width="9%" valign="top">
<p align="right">407,062</p>
</td>
<td width="9%" valign="top">
<p align="right">97</p>
</td>
</tr>
<tr>
<td width="16%" valign="top">
<p align="right"> </p>
</td>
<td width="7%" valign="top">
<p align="right"> </p>
</td>
<td width="11%" valign="top">
<p align="right"> </p>
</td>
<td width="9%" valign="top">
<p align="right"> </p>
</td>
<td width="9%" valign="top">
<p align="right"> </p>
</td>
<td width="9%" valign="top">
<p align="right"> </p>
</td>
<td width="9%" valign="top">
<p align="right"> </p>
</td>
</tr>
<tr>
<td width="16%" valign="top">
<p align="right"><strong>Totals:</strong></p>
</td>
<td width="7%" valign="top">
<p align="right"><strong>301</strong></p>
</td>
<td width="11%" valign="top">
<p align="right"><strong>312,377</strong></p>
</td>
<td width="9%" valign="top">
<p align="right"><strong>121</strong></p>
</td>
<td width="9%" valign="top">
<p align="right"><strong>118</strong></p>
</td>
<td width="9%" valign="top">
<p align="right"><strong>271,215</strong></p>
</td>
<td width="9%" valign="top">
<p align="right"><strong>93</strong></p>
</td>
</tr>
</tbody>
</table>
<p><span id="more-296"></span></p>
<p><strong>Inventory Accumulation for the Last 12 Full Months</strong></p>
<table id="Table6" border="1" cellspacing="0" cellpadding="0" width="100%">
<tbody>
<tr>
<td width="18%" valign="top">
<p align="center"><strong> </strong></p>
</td>
<td width="18%" valign="top">
<p align="center"><strong> </strong></p>
</td>
<td width="18%" valign="top">
<p align="center"><strong> </strong></p>
</td>
<td width="21%" valign="top">
<p align="center"><strong> </strong></p>
</td>
<td width="22%" valign="top">
<p align="center"><strong> </strong></p>
</td>
</tr>
<tr>
<td width="18%" valign="top">
<p align="center"><strong>Current Inventory *</strong></p>
</td>
<td width="18%" valign="top">
<p align="center"><strong>Inventory Volume</strong></p>
</td>
<td width="18%" valign="top">
<p align="center"><strong>Current Average</strong></p>
</td>
<td width="21%" valign="top">
<p align="center"><strong>Average Monthly Sales**</strong></p>
</td>
<td width="22%" valign="top">
<p align="center"><strong>Inventory Accumulation ***</strong></p>
</td>
</tr>
<tr>
<td width="18%" valign="top">
<p align="center">113</p>
</td>
<td width="18%" valign="top">
<p align="center">36,039,936</p>
</td>
<td width="18%" valign="top">
<p align="center">318,937</p>
</td>
<td width="21%" valign="top">
<p align="center">9</p>
</td>
<td width="22%" valign="top">
<p align="center">12</p>
</td>
</tr>
</tbody>
</table>
<p align="center"><em>*Current Inventory is based on the actual available properties on the date this report was created.<br />
**Average Monthly Sales is the average sales for the last 12 full months<br />
***<em>Inventory accumulation (in months) = Current Inventory Units / Average Monthly Sales </em> </em></p>
<p><strong>Pricing Details of Sold Units for the Date Range Selected</strong></p>
<table id="Table9" border="1" cellspacing="0" cellpadding="0" width="100%">
<tbody>
<tr>
<td width="33%" valign="top">
<p align="center"><strong>Minimum Prices</strong></p>
</td>
<td width="33%" valign="top">
<p align="center"><strong>Maximum Prices</strong></p>
</td>
<td width="33%" valign="top">
<p align="center"><strong>Average Prices </strong></p>
</td>
</tr>
<tr>
<td width="33%" valign="top">
<p align="center">Original List Price : $105,000</p>
</td>
<td width="33%" valign="top">
<p align="center">Original List Price: $994,500</p>
</td>
<td width="33%" valign="top">
<p align="center">Original List Price: $297,403</p>
</td>
</tr>
<tr>
<td width="33%" valign="top">
<p align="center">Sold Price : $83,000</p>
</td>
<td width="33%" valign="top">
<p align="center">Sold Price: $900,000</p>
</td>
<td width="33%" valign="top">
<p align="center">Sold Price: $271,215</p>
</td>
</tr>
<tr>
<td width="33%" valign="top">
<p align="center"> </p>
</td>
<td width="33%" valign="top">
<p align="center"><strong> </strong></p>
</td>
<td width="33%" valign="top">
<p align="center"> </p>
</td>
</tr>
</tbody>
</table>
<p align="center"> </p>
<table id="Table10" border="1" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td colspan="2" valign="top">
<p align="center"><strong>Market Statistics Criteria Used</strong></p>
</td>
</tr>
<tr>
<td valign="top">
<p><strong>Date</strong><strong> </strong><strong>Range</strong><strong>:</strong></p>
</td>
<td valign="top">
<p>2/2008 to 2/2009</p>
</td>
</tr>
<tr>
<td width="171" valign="top">
<p><strong>Price</strong><strong> </strong><strong>Range</strong><strong>:</strong></p>
</td>
<td width="123" valign="top">
<p>$0 to $9,999,000</p>
</td>
</tr>
<tr>
<td width="171" valign="top">
<p><strong>Property Category:</strong></p>
</td>
<td width="123" valign="top">
<p>Residential</p>
</td>
</tr>
<tr>
<td valign="top">
<p><strong>Area:</strong></p>
</td>
<td valign="top">
<p>Cinnaminson Twp</p>
</td>
</tr>
</tbody>
</table>
<p><strong> </strong><em>© Copyright 2009 TREND MLS &#8211; Information Deemed Reliable but Not Guaranteed. Printed </em><em>3/21/2009 8:58:53 AM</em></p>
<p>If you would like the data on any municipality within Burlington, Camden, Gloucester, Mercer, or Salem counties post a request in the responses and I will get it up for you.</p>
<p>-Roxanne Ardary</p>
]]></content:encoded>
			<wfw:commentRss>http://www.roxanneardary.com/blog/cinnaminson-nj-home-sales-0209/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>South Jersey YTD Housing Market Snapshot &#8211; Feb 09</title>
		<link>http://www.roxanneardary.com/blog/south-jersey-ytd-housing-market-feb09/</link>
		<comments>http://www.roxanneardary.com/blog/south-jersey-ytd-housing-market-feb09/#comments</comments>
		<pubDate>Wed, 18 Mar 2009 07:37:42 +0000</pubDate>
		<dc:creator>Roxanne</dc:creator>
				<category><![CDATA[Burlington County]]></category>
		<category><![CDATA[Camden County]]></category>
		<category><![CDATA[Gloucester County]]></category>
		<category><![CDATA[Mercer County]]></category>
		<category><![CDATA[South Jersey]]></category>

		<guid isPermaLink="false">http://www.roxanneardary.com/?p=292</guid>
		<description><![CDATA[The year to date housing market snapshot is provided by Trend MLS and includes home sales information for transactions recorded from January 1st through February 28th within Burlington, Camden, Gloucester, Mercer, and Salem Counties.  The three year comparison is for the same time period in 2007, 2008, and 2009. Burlington County Single Family Home Sales: [...]]]></description>
			<content:encoded><![CDATA[<p>The year to date housing market snapshot is provided by Trend MLS and includes home sales information for transactions recorded from January 1st through February 28th within Burlington, Camden, Gloucester, Mercer, and Salem Counties.  The three year comparison is for the same time period in 2007, 2008, and 2009.</p>
<p><strong>Burlington County Single Family Home Sales:</strong></p>
<p>Settled Units:</p>
<p>2007: 582 <br />
2008: 454 (2007/2008 change: -21.99%) <br />
2009: 350 (2008/2009 change: -22.91%) </p>
<p>Average Settled Price:</p>
<p>2007: $302,000 <br />
2008: $270,000 (2007/2008 change: -10.60%) <br />
2009: $254,000 (2008/2009 change: -5.93%) </p>
<p>Median Settled Price:</p>
<p>2007: $259,000 <br />
2008: $230,000 (2007/2008 change: -11.20%) <br />
2009: $220,000 (2008/2009 change: -4.35%)</p>
<p>Average Percentage Settled Price was of Original Listing Price:</p>
<p>2007: 93.68% <br />
2008: 91.99% (2007/2008 change: -1.80%) <br />
2009: 88.56% (2008/2009 change: -3.73%) </p>
<p><span id="more-295"></span><strong>Camden County Single Family Home Sales:</strong></p>
<p>Settled Units:</p>
<p>2007: 724 <br />
2008: 538 (2007/2008 change: -25.69%) <br />
2009: 395 (2008/2009 change: -26.58%)</p>
<p>Average Settled Price:</p>
<p>2007: $214,000 <br />
2008: $205,000 (2007/2008 change: -4.21%) <br />
2009: $183,000 (2008/2009 change: -10.73%)</p>
<p>Median Settled Price:</p>
<p>2007: $192,000 <br />
2008: $190,000 (2007/2008 change: -1.04%) <br />
2009: $170,000 (2008/2009 change: -10.53%)</p>
<p>Average Percentage Settled Price was of Original Listing Price:</p>
<p>2007: 94.13% <br />
2008: 91.46% (2007/2008 change: -2.84%) <br />
2009: 88.35% (2008/2009 change: -3.40%) </p>
<p><strong>Gloucester County Single Family Home Sales:</strong></p>
<p>Settled Units:</p>
<p>2007: 416 <br />
2008: 278 (2007/2008 change: -33.17%) <br />
2009: 248 (2008/2009 change: -10.79%) </p>
<p>Average Settled Price:</p>
<p>2007: $244,000 <br />
2008: $235,000 (2007/2008 change: -3.69%) <br />
2009: $218,000 (2008/2009 change: -7.23%)</p>
<p>Median Settled Price:</p>
<p>2007: $229,000 <br />
2008: $215,000 (2007/2008 change: -6.11%) <br />
2009: $200,000 (2008/2009 change: -6.98%) </p>
<p>Average Percentage Settled Price was of Original Listing Price:</p>
<p>2007: 94.11% <br />
2008: 92.57% (2007/2008 change: -1.64%) <br />
2009: 89.22% (2008/2009 change: -3.62%) </p>
<p><strong>Mercer County Single Family Home Sales:</strong></p>
<p>Settled Units:</p>
<p>2007: 433 <br />
2008: 311 (2007/2008 change: -28.18%) <br />
2009: 219 (2008/2009 change: -29.58%) </p>
<p>Average Settled Price:</p>
<p>2007: $306,000 <br />
2008: $383,000 (2007/2008 change: +25.16%) <br />
2009: $304,000 (2008/2009 change: -20.63%) </p>
<p>Median Settled Price:</p>
<p>2007: $255,000 <br />
2008: $280,000 (2007/2008 change: +9.80%) <br />
2009: $245,000 (2008/2009 change: -12.50%) </p>
<p>Average Percentage Settled Price was of Original Listing Price:</p>
<p>2007: 92.18% <br />
2008: 89.85% (2007/2008 change: -2.53%) <br />
2009: 87.67% (2008/2009 change: -2.43%)</p>
<p><strong>Salem County Single Family Home Sales:</strong></p>
<p>Settled Units:</p>
<p>2007: 83 <br />
2008: 58 (2007/2008 change: -30.12%) <br />
2009: 36 (2008/2009 change: -37.93%) </p>
<p>Average Settled Price:</p>
<p>2007: $166,000 <br />
2008: $204,000 (2007/2008 change: +22.89%) <br />
2009: $148,000 (2008/2009 change: -27.45%) </p>
<p>Median Settled Price:</p>
<p>2007: $142,000 <br />
2008: $182,000 (2007/2008 change: +28.17%) <br />
2009: $130,000 (2008/2009 change: -28.57%) </p>
<p>Average Percentage Settled Price was of Original Listing Price:</p>
<p>2007: 93.82% <br />
2008: 90.91% (2007/2008 change: -3.10%) <br />
2009: 83.29% (2008/2009 change: -8.38%) </p>
]]></content:encoded>
			<wfw:commentRss>http://www.roxanneardary.com/blog/south-jersey-ytd-housing-market-feb09/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Mount Laurel, NJ Home Sales Report</title>
		<link>http://www.roxanneardary.com/blog/mount-laurel-home-sales-report-0209/</link>
		<comments>http://www.roxanneardary.com/blog/mount-laurel-home-sales-report-0209/#comments</comments>
		<pubDate>Tue, 17 Mar 2009 16:20:19 +0000</pubDate>
		<dc:creator>Roxanne</dc:creator>
				<category><![CDATA[Market Conditions]]></category>
		<category><![CDATA[Mount Laurel]]></category>

		<guid isPermaLink="false">http://www.roxanneardary.com/?p=291</guid>
		<description><![CDATA[Mount Laurel, NJ currently has 427 residential properties for sale with an average of 46 properties sold per month giving Mt. Laurel a 9 month inventory accumulation.  Although there were less new listings coming onto the market in Feb &#8217;09, than in Feb. &#8217;08, the number of properties going under contract (pended) and settled stayed close [...]]]></description>
			<content:encoded><![CDATA[<p>Mount Laurel, NJ currently has 427 residential properties for sale with an average of 46 properties sold per month giving Mt. Laurel a 9 month inventory accumulation.  Although there were less new listings coming onto the market in Feb &#8217;09, than in Feb. &#8217;08, the number of properties going under contract (pended) and settled stayed close to the same.   The January year over year comparison of the real estate market activity, however, experienced a decline in listings, pendings, and settled properties. </p>
<p><strong>Mt. Laurel Monthly Statistics for February 2008 through February 2009</strong></p>
<table id="Table2" border="1" cellspacing="0" cellpadding="0" width="550">
<tbody>
<tr>
<td width="16%" valign="top">
<p align="right"><strong>Date</strong></p>
</td>
<td width="7%" valign="top">
<p align="right"><strong>Units Listed</strong></p>
</td>
<td width="11%" valign="top">
<p align="right"><strong>Listed Average</strong></p>
</td>
<td width="9%" valign="top">
<p align="right"><strong>Pended</strong></p>
</td>
<td width="9%" valign="top">
<p align="right"><strong>Units Sold</strong></p>
</td>
<td width="9%" valign="top">
<p align="right"><strong>Sold Average</strong></p>
</td>
<td width="9%" valign="top">
<p align="right"><strong>Average DOM</strong></p>
</td>
</tr>
<tr>
<td width="16%" valign="top">
<p align="right">Feb 2009</p>
</td>
<td width="7%" valign="top">
<p align="right">83</p>
</td>
<td width="11%" valign="top">
<p align="right">308,564</p>
</td>
<td width="9%" valign="top">
<p align="right">33</p>
</td>
<td width="9%" valign="top">
<p align="right">30</p>
</td>
<td width="9%" valign="top">
<p align="right">230,571</p>
</td>
<td width="9%" valign="top">
<p align="right">73</p>
</td>
</tr>
<tr>
<td width="16%" valign="top">
<p align="right">Jan 2009</p>
</td>
<td width="7%" valign="top">
<p align="right">111</p>
</td>
<td width="11%" valign="top">
<p align="right">282,352</p>
</td>
<td width="9%" valign="top">
<p align="right">28</p>
</td>
<td width="9%" valign="top">
<p align="right">28</p>
</td>
<td width="9%" valign="top">
<p align="right">274,882</p>
</td>
<td width="9%" valign="top">
<p align="right">116</p>
</td>
</tr>
<tr>
<td width="16%" valign="top">
<p align="right">Dec 2008</p>
</td>
<td width="7%" valign="top">
<p align="right">44</p>
</td>
<td width="11%" valign="top">
<p align="right">290,418</p>
</td>
<td width="9%" valign="top">
<p align="right">31</p>
</td>
<td width="9%" valign="top">
<p align="right">48</p>
</td>
<td width="9%" valign="top">
<p align="right">282,844</p>
</td>
<td width="9%" valign="top">
<p align="right">87</p>
</td>
</tr>
<tr>
<td width="16%" valign="top">
<p align="right">Nov 2008</p>
</td>
<td width="7%" valign="top">
<p align="right">66</p>
</td>
<td width="11%" valign="top">
<p align="right">332,568</p>
</td>
<td width="9%" valign="top">
<p align="right">37</p>
</td>
<td width="9%" valign="top">
<p align="right">24</p>
</td>
<td width="9%" valign="top">
<p align="right">235,974</p>
</td>
<td width="9%" valign="top">
<p align="right">65</p>
</td>
</tr>
<tr>
<td width="16%" valign="top">
<p align="right">Oct 2008</p>
</td>
<td width="7%" valign="top">
<p align="right">92</p>
</td>
<td width="11%" valign="top">
<p align="right">259,935</p>
</td>
<td width="9%" valign="top">
<p align="right">36</p>
</td>
<td width="9%" valign="top">
<p align="right">54</p>
</td>
<td width="9%" valign="top">
<p align="right">282,696</p>
</td>
<td width="9%" valign="top">
<p align="right">77</p>
</td>
</tr>
<tr>
<td width="16%" valign="top">
<p align="right">Sep 2008</p>
</td>
<td width="7%" valign="top">
<p align="right">117</p>
</td>
<td width="11%" valign="top">
<p align="right">270,979</p>
</td>
<td width="9%" valign="top">
<p align="right">47</p>
</td>
<td width="9%" valign="top">
<p align="right">39</p>
</td>
<td width="9%" valign="top">
<p align="right">284,049</p>
</td>
<td width="9%" valign="top">
<p align="right">62</p>
</td>
</tr>
<tr>
<td width="16%" valign="top">
<p align="right">Aug 2008</p>
</td>
<td width="7%" valign="top">
<p align="right">90</p>
</td>
<td width="11%" valign="top">
<p align="right">300,260</p>
</td>
<td width="9%" valign="top">
<p align="right">46</p>
</td>
<td width="9%" valign="top">
<p align="right">64</p>
</td>
<td width="9%" valign="top">
<p align="right">301,057</p>
</td>
<td width="9%" valign="top">
<p align="right">78</p>
</td>
</tr>
<tr>
<td width="16%" valign="top">
<p align="right">July 2008</p>
</td>
<td width="7%" valign="top">
<p align="right">109</p>
</td>
<td width="11%" valign="top">
<p align="right">306,118</p>
</td>
<td width="9%" valign="top">
<p align="right">52</p>
</td>
<td width="9%" valign="top">
<p align="right">56</p>
</td>
<td width="9%" valign="top">
<p align="right">244,641</p>
</td>
<td width="9%" valign="top">
<p align="right">70</p>
</td>
</tr>
<tr>
<td width="16%" valign="top">
<p align="right">June 2008</p>
</td>
<td width="7%" valign="top">
<p align="right">117</p>
</td>
<td width="11%" valign="top">
<p align="right">301,050</p>
</td>
<td width="9%" valign="top">
<p align="right">56</p>
</td>
<td width="9%" valign="top">
<p align="right">78</p>
</td>
<td width="9%" valign="top">
<p align="right">267,309</p>
</td>
<td width="9%" valign="top">
<p align="right">80</p>
</td>
</tr>
<tr>
<td width="16%" valign="top">
<p align="right">May 2008</p>
</td>
<td width="7%" valign="top">
<p align="right">118</p>
</td>
<td width="11%" valign="top">
<p align="right">309,991</p>
</td>
<td width="9%" valign="top">
<p align="right">76</p>
</td>
<td width="9%" valign="top">
<p align="right">49</p>
</td>
<td width="9%" valign="top">
<p align="right">238,918</p>
</td>
<td width="9%" valign="top">
<p align="right">70</p>
</td>
</tr>
<tr>
<td width="16%" valign="top">
<p align="right">Apr 2008</p>
</td>
<td width="7%" valign="top">
<p align="right">123</p>
</td>
<td width="11%" valign="top">
<p align="right">285,393</p>
</td>
<td width="9%" valign="top">
<p align="right">51</p>
</td>
<td width="9%" valign="top">
<p align="right">51</p>
</td>
<td width="9%" valign="top">
<p align="right">242,774</p>
</td>
<td width="9%" valign="top">
<p align="right">60</p>
</td>
</tr>
<tr>
<td width="16%" valign="top">
<p align="right">Mar 2008</p>
</td>
<td width="7%" valign="top">
<p align="right">117</p>
</td>
<td width="11%" valign="top">
<p align="right">299,870</p>
</td>
<td width="9%" valign="top">
<p align="right">59</p>
</td>
<td width="9%" valign="top">
<p align="right">34</p>
</td>
<td width="9%" valign="top">
<p align="right">264,639</p>
</td>
<td width="9%" valign="top">
<p align="right">101</p>
</td>
</tr>
<tr>
<td width="16%" valign="top">
<p align="right">Feb 2008</p>
</td>
<td width="7%" valign="top">
<p align="right">109</p>
</td>
<td width="11%" valign="top">
<p align="right">292,811</p>
</td>
<td width="9%" valign="top">
<p align="right">35</p>
</td>
<td width="9%" valign="top">
<p align="right">29</p>
</td>
<td width="9%" valign="top">
<p align="right">263,231</p>
</td>
<td width="9%" valign="top">
<p align="right">82</p>
</td>
</tr>
<tr>
<td width="16%" valign="top">
<p align="right"> </p>
</td>
<td width="7%" valign="top">
<p align="right"> </p>
</td>
<td width="11%" valign="top">
<p align="right"> </p>
</td>
<td width="9%" valign="top">
<p align="right"> </p>
</td>
<td width="9%" valign="top">
<p align="right"> </p>
</td>
<td width="9%" valign="top">
<p align="right"> </p>
</td>
<td width="9%" valign="top">
<p align="right"> </p>
</td>
</tr>
<tr>
<td width="16%" valign="top">
<p align="right"><strong>Totals:</strong></p>
</td>
<td width="7%" valign="top">
<p align="right"><strong>1296</strong></p>
</td>
<td width="11%" valign="top">
<p align="right"><strong>294,441</strong></p>
</td>
<td width="9%" valign="top">
<p align="right"><strong>587</strong></p>
</td>
<td width="9%" valign="top">
<p align="right"><strong>584</strong></p>
</td>
<td width="9%" valign="top">
<p align="right"><strong>264,957</strong></p>
</td>
<td width="9%" valign="top">
<p align="right"><strong>77</strong></p>
</td>
</tr>
<tr>
<td width="16%" valign="top">
<p align="right"><strong> </strong></p>
</td>
<td width="7%" valign="top">
<p align="right"><strong> </strong></p>
</td>
<td width="11%" valign="top">
<p align="right"><strong> </strong></p>
</td>
<td width="9%" valign="top">
<p align="right"><strong> </strong></p>
</td>
<td width="9%" valign="top">
<p align="right"><strong> </strong></p>
</td>
<td width="9%" valign="top">
<p align="right"><strong> </strong></p>
</td>
<td width="9%" valign="top">
<p align="right"><strong> </strong></p>
</td>
</tr>
</tbody>
</table>
<p><strong></strong></p>
<p><span id="more-294"></span><br />
<strong>Inventory Accumulation for the Last 12 Full Months</strong></p>
<table id="Table6" border="1" cellspacing="0" cellpadding="0" width="100%">
<tbody>
<tr>
<td width="18%" valign="top">
<p align="center"><strong> </strong></p>
</td>
<td width="18%" valign="top">
<p align="center"><strong> </strong></p>
</td>
<td width="18%" valign="top">
<p align="center"><strong> </strong></p>
</td>
<td width="21%" valign="top">
<p align="center"><strong> </strong></p>
</td>
<td width="22%" valign="top">
<p align="center"><strong> </strong></p>
</td>
</tr>
<tr>
<td width="18%" valign="top">
<p align="center"><strong>Current Inventory *</strong></p>
</td>
<td width="18%" valign="top">
<p align="center"><strong>Inventory Volume</strong></p>
</td>
<td width="18%" valign="top">
<p align="center"><strong>Current Average</strong></p>
</td>
<td width="21%" valign="top">
<p align="center"><strong>Average Monthly Sales**</strong></p>
</td>
<td width="22%" valign="top">
<p align="center"><strong>Inventory Accumulation ***</strong></p>
</td>
</tr>
<tr>
<td width="18%" valign="top">
<p align="center">427</p>
</td>
<td width="18%" valign="top">
<p align="center">142,437,168</p>
</td>
<td width="18%" valign="top">
<p align="center">333,576</p>
</td>
<td width="21%" valign="top">
<p align="center">46</p>
</td>
<td width="22%" valign="top">
<p align="center">9</p>
</td>
</tr>
</tbody>
</table>
<p style="text-align: center;"><em>*Current Inventory is based on the actual available properties on the date this report was created.<br />
</em><em>**Average Monthly Sales is the average sales for the last 12 full months<br />
</em>***<em>Inventory accumulation (in months) = Current Inventory Units / Average Monthly Sales </em></p>
<p> <strong>Pricing Details of Sold Units for the Date Range Selected</strong></p>
<table id="Table9" border="1" cellspacing="0" cellpadding="0" width="100%">
<tbody>
<tr>
<td width="33%" valign="top">
<p align="center"><strong>Minimum Prices</strong></p>
</td>
<td width="33%" valign="top">
<p align="center"><strong>Maximum Prices</strong></p>
</td>
<td width="33%" valign="top">
<p align="center"><strong>Average Prices </strong></p>
</td>
</tr>
<tr>
<td width="33%" valign="top">
<p align="center">Original List Price : $114,900</p>
</td>
<td width="33%" valign="top">
<p align="center">Original List Price: $889,900</p>
</td>
<td width="33%" valign="top">
<p align="center">Original List Price: $285,361</p>
</td>
</tr>
<tr>
<td width="33%" valign="top">
<p align="center">Sold Price : $109,000</p>
</td>
<td width="33%" valign="top">
<p align="center">Sold Price: $835,000</p>
</td>
<td width="33%" valign="top">
<p align="center">Sold Price: $264,957</p>
</td>
</tr>
<tr>
<td width="33%" valign="top">
<p align="center"> </p>
</td>
<td width="33%" valign="top">
<p align="center"><strong> </strong></p>
</td>
<td width="33%" valign="top">
<p align="center"> </p>
</td>
</tr>
</tbody>
</table>
<p align="center"><em>Inventory Accumulation figures are only calculated when Report End Month is the current month  </em></p>
<table id="Table10" border="1" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td colspan="2" valign="top">
<p align="center"><strong>Market Statistics Criteria Used</strong></p>
</td>
</tr>
<tr>
<td valign="top">
<p><strong>Date</strong><strong> </strong><strong>Range</strong><strong>:</strong></p>
</td>
<td valign="top">
<p>2/2008 to 2/2009</p>
</td>
</tr>
<tr>
<td width="171" valign="top">
<p><strong>Price</strong><strong> </strong><strong>Range</strong><strong>:</strong></p>
</td>
<td width="123" valign="top">
<p>$0 to $9,999,000</p>
</td>
</tr>
<tr>
<td width="171" valign="top">
<p><strong>Property Category:</strong></p>
</td>
<td width="123" valign="top">
<p>Residential</p>
</td>
</tr>
<tr>
<td valign="top">
<p><strong>Area:</strong></p>
</td>
<td valign="top">
<p>Mount Laurel Twp</p>
</td>
</tr>
</tbody>
</table>
<p><em>© Copyright 2009 TREND MLS &#8211; Information Deemed Reliable but Not Guaranteed. Printed </em><em>3/17/2009 11:39:58 AM</em></p>
]]></content:encoded>
			<wfw:commentRss>http://www.roxanneardary.com/blog/mount-laurel-home-sales-report-0209/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>South Jersey Home Sales and Inventory March &#8217;09</title>
		<link>http://www.roxanneardary.com/blog/south-jersey-home-sales-inventory-0309/</link>
		<comments>http://www.roxanneardary.com/blog/south-jersey-home-sales-inventory-0309/#comments</comments>
		<pubDate>Sun, 15 Mar 2009 20:57:58 +0000</pubDate>
		<dc:creator>Roxanne</dc:creator>
				<category><![CDATA[Burlington County]]></category>
		<category><![CDATA[Camden County]]></category>
		<category><![CDATA[Gloucester County]]></category>
		<category><![CDATA[Mercer County]]></category>
		<category><![CDATA[South Jersey]]></category>

		<guid isPermaLink="false">http://www.roxanneardary.com/?p=280</guid>
		<description><![CDATA[The South Jersey home sales and inventory data is provided by Trend MLS as of March 15, 2009.  The information includes residential home sales and listings that have been recorded in Trend MLS within Burlington, Camden, Gloucester, Mercer, and Salem Counties. Burlington County Home Sales: Current active listings: 3,745 February new listings: 724 Homes sold per [...]]]></description>
			<content:encoded><![CDATA[<p>The South Jersey home sales and inventory data is provided by Trend MLS as of March 15, 2009.  The information includes residential home sales and listings that have been recorded in Trend MLS within Burlington, Camden, Gloucester, Mercer, and Salem Counties.</p>
<p>Burlington County Home Sales:</p>
<p>Current active listings: 3,745<br />
February new listings: 724<br />
Homes sold per month &#8211; 12 month average : 336<br />
February units pending settlement: 245<br />
February units sold: 215<br />
Inventory accumulation: 11 months<br />
Days on Market &#8211; 12 month average: 93<br />
Average sold price YTD: $244,007</p>
<p><span id="more-280"></span>Camden County Home Sales:</p>
<p>Current active listings: 3,878<br />
February new listings: 748<br />
February units pending settlement: 285<br />
February units sold: 246<br />
Homes sold per month &#8211; 12 month average : 321<br />
Inventory accumulation: 12 months<br />
Days on Market &#8211; 12 month average: 84<br />
Average sold price YTD: $185,736</p>
<p>Gloucester County Home Sales:</p>
<p>Current active listings: 2,376<br />
February new listings:  488<br />
February units pending settlement:  142<br />
February units sold:  143<br />
Homes sold per month &#8211; 12 month average :  200<br />
Inventory accumulation: 11 months<br />
Days on Market &#8211; 12 month average:  93<br />
Average sold price YTD: $213,214</p>
<p>Mercer County Home Sales:</p>
<p>Current active listings: 2286<br />
February new listings:  515<br />
February units pending settlement:  196<br />
February units sold: 126<br />
Homes sold per month &#8211; 12 month average :  233<br />
Inventory accumulation:  9 months<br />
Days on Market &#8211; 12 month average:  87<br />
Average sold price YTD:  $300,308</p>
<p>Salem County Home Sales:</p>
<p>Current active listings: 607<br />
February new listings:  88<br />
February units pending settlement:  44<br />
February units sold:  18<br />
Homes sold per month &#8211; 12 month average :  31<br />
Inventory accumulation: 19 months<br />
Days on Market &#8211; 12 month average:  102<br />
Average sold price YTD:  $155,822</p>
<p>Trend MLS disclaimer: Information Deemed Reliable but Not Guaranteed. </p>
]]></content:encoded>
			<wfw:commentRss>http://www.roxanneardary.com/blog/south-jersey-home-sales-inventory-0309/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Corzine&#8217;s NJ Budget Proposal: Tax Hikes and Rebates Cut</title>
		<link>http://www.roxanneardary.com/blog/corzines-nj-budget-proposal/</link>
		<comments>http://www.roxanneardary.com/blog/corzines-nj-budget-proposal/#comments</comments>
		<pubDate>Wed, 11 Mar 2009 15:00:18 +0000</pubDate>
		<dc:creator>Roxanne</dc:creator>
				<category><![CDATA[Burlington County]]></category>
		<category><![CDATA[Camden County]]></category>
		<category><![CDATA[Gloucester County]]></category>
		<category><![CDATA[New Jersey]]></category>
		<category><![CDATA[South Jersey]]></category>

		<guid isPermaLink="false">http://www.roxanneardary.com/?p=278</guid>
		<description><![CDATA[Corzine announced his budget proposal yesterday which has many NJ residents very upset and speaking out against the proposed changes.  From the article in the Courier Post: Corzine&#8217;s budget seeks tax hikes, cut in rebates Gov. Jon S. Corzine is proposing a $29.8 billion state budget for the upcoming fiscal year that includes tax hikes [...]]]></description>
			<content:encoded><![CDATA[<p>Corzine announced his budget proposal yesterday which has many NJ residents very upset and speaking out against the proposed changes.  From the article in the Courier Post: <a href="http://www.courierpostonline.com/article/20090311/NEWS01/903110362/1006">Corzine&#8217;s budget seeks tax hikes, cut in rebates</a></p>
<blockquote><p>Gov. Jon S. Corzine is proposing a $29.8 billion state budget for the upcoming fiscal year that includes tax hikes of more than $1 billion, including the suspension of most homeowners&#8217; ability to deduct property taxes from their income taxes.</p>
<p>Corzine said the deep recession requires difficult choices, including ending property tax rebates for households with incomes over $75,000 and more than a half-dozen increases in taxes. He said the budget&#8217;s $7 billion structural deficit is addressed mostly through $4 billion in spending cuts and $2.2 billion in federal stimulus aid.</p>
<p>&#8220;Make no mistake: Because of where the world is right now, we must move in directions we might not otherwise choose,&#8221; Corzine said.</p>
<p>The tax changes include raising the tax rate on incomes over $500,000, taxing lottery winnings over $10,000, extending a 4 percent surcharge on corporate taxes, increasing cigarette taxes 12.5 cents a pack and boosting taxes on liquor and wine by 25 percent.</p>
<p>Most surprising was Corzine&#8217;s proposal to suspend, except for seniors, taxpayers&#8217; ability next year to deduct their property taxes from their income taxes. The one-year move would cost taxpayers an estimated $400 million, the administration says. </p>
</blockquote>
<p><span id="more-278"></span></p>
<p>Businesses will face an increase in payroll taxes:</p>
<blockquote><p>Payroll taxes would be increased on businesses, despite deposits by the state and federal governments into the depleted unemployment fund. New Jersey will put in $150 million, not the $270 million announced last month. Corzine said it would take a deposit of $500 million or more to avoid a payroll tax increase but that the money being put in will help limit the increase.</p>
</blockquote>
<p>State workers will have to contend with one of two scenarios:  </p>
<blockquote><p>Corzine said he wants to reduce personnel costs by $400 million by freezing state workers&#8217; wages and furloughs throughout fiscal 2010. The alternative, he said, would be to lay off as many as 7,000 workers. College employees&#8217; salaries would also be frozen.</p>
</blockquote>
<p>A number of other tax hikes on various goods were also mentioned. In regards to the homeowner&#8217;s rebate cuts <a href="http://www.northjersey.com/news/Middle-class_homeowners_dealt_a_painful_blow.html">NorthJersey.com&#8217;s article</a> posted this analysis:</p>
<blockquote><p>Although many budget details had leaked in advance, the lost tax write-off caught many off guard. Corzine would remove the property tax deduction on income taxes for all but senior citizens, and eliminate property tax rebates for non-senior households making more than $75,000 a year. Non-senior households earning $50,000 to $75,000 would see their rebate check from last year slashed by a third. Last year&#8217;s program offered staggered rebates for households making up to $150,000.</p>
<p>That could translate into a double whammy for non-senior homeowners earning $75,000 to $150,000. They lose their rebate and hundreds of dollars from the deduction.</p>
<p>A homeowner earning $95,000, for example, would not only lose a $1,000-plus rebate. Scrapping the property tax deduction would take away another $350 or so, according to state figures.</p>
<p>&#8220;The loss of the deduction would make homeownership even harder for New Jersey residents who are struggling to make ends meet during this recession,&#8221; said Senate Minority Leader Tom Kean Jr., R-Union.</p>
<p>The revenue raised by eliminating the property tax deduction would help pay for the preserved rebates, Corzine said, adding that he wants to restore rebates to higher income families &#8220;as soon as the recovery of state revenues allows.&#8221;</p>
</blockquote>
<p>If it passes would the unintended consequences be actually forcing stuggling homeowners into selling their homes (increasing inventory even more) or foreclosure which would then result in even less revenue generated for the state?  These changes would also impact future home buyers ability to afford to purchase a home and as a result home sellers would be forced to reduce home prices further to make up for the additional tax expense for the state.  </p>
<p>What are your thoughts on Corzine&#8217;s budget proposal? </p>
]]></content:encoded>
			<wfw:commentRss>http://www.roxanneardary.com/blog/corzines-nj-budget-proposal/feed/</wfw:commentRss>
		<slash:comments>9</slash:comments>
		</item>
		<item>
		<title>Year to Date Housing Market Snapshot &#8211; Jan 2009</title>
		<link>http://www.roxanneardary.com/blog/year-date-housing-market-snapshot-jan-2009/</link>
		<comments>http://www.roxanneardary.com/blog/year-date-housing-market-snapshot-jan-2009/#comments</comments>
		<pubDate>Wed, 18 Feb 2009 01:22:10 +0000</pubDate>
		<dc:creator>Roxanne</dc:creator>
				<category><![CDATA[Burlington County]]></category>
		<category><![CDATA[Camden County]]></category>
		<category><![CDATA[Gloucester County]]></category>
		<category><![CDATA[Mercer County]]></category>
		<category><![CDATA[South Jersey]]></category>

		<guid isPermaLink="false">http://www.roxanneardary.com/?p=279</guid>
		<description><![CDATA[The housing market snapshot is provided by Trend MLS and includes home sales information for transactions recorded from January 1, 2009 through Jan. 31, 2009 within Burlington, Camden, Gloucester, Mercer, and Salem Counties. Burlington County Single Family Home Sales: Settled Units: 2007: 254 2008: 233 (2007/2008 change: -8.27%) 2009: 162 (2008/2009 change: -30.47%) Average Settled Price: [...]]]></description>
			<content:encoded><![CDATA[<p>The housing market snapshot is provided by Trend MLS and includes home sales information for transactions recorded from January 1, 2009 through Jan. 31, 2009 within Burlington, Camden, Gloucester, Mercer, and Salem Counties.</p>
<p><strong>Burlington County Single Family Home Sales</strong>:</p>
<p>Settled Units:</p>
<ul>
<li>2007: 254</li>
<li>2008: 233 (2007/2008 change: -8.27%)</li>
<li>2009: 162 (2008/2009 change: -30.47%)</li>
</ul>
<p>Average Settled Price:</p>
<ul>
<li>2007: $330,000</li>
<li>2008: $275,000 (2007/2008 change: -16.67%)</li>
<li>2009: $257,000 (2008/2009 change: -6.55%)</li>
</ul>
<p>Median Settled Price:</p>
<ul>
<li>2007: $265,000</li>
<li>2008: $234,000 (2007/2008 change: -11.70%)</li>
<li>2009: $225,000 (2008/2009 change: -3.85%)</li>
</ul>
<p>Average Percentage Settled Price was of Original Listing Price:</p>
<ul>
<li>2007: 93.04%</li>
<li>2008: 91.26% (2007/2008 change: -1.91%)</li>
<li>2009: 88.69% (2008/2009 change: -2.82%)</li>
</ul>
<p><span id="more-279"></span></p>
<p><strong>Camden County Single Family Home Sales</strong>:</p>
<p>Settled Units:</p>
<ul>
<li>2007: 353</li>
<li>2008: 272 (2007/2008 change: -22.95%)</li>
<li>2009: 159 (2008/2009 change: -41.54%)</li>
</ul>
<p>Average Settled Price:</p>
<ul>
<li>2007: $223,000 </li>
<li>2008: $200,000 (2007/2008 change: -10.31%)</li>
<li>2009: $182,000 (2008/2009 change: -9.00%)</li>
</ul>
<p>Median Settled Price:</p>
<ul>
<li>2007: $192,000</li>
<li>2008: $191,000 (2007/2008 change: -0.52%)</li>
<li>2009: $175,000 (2008/2009 change: -8.38%)</li>
</ul>
<p>Average Percentage Settled Price was of Original Listing Price:</p>
<ul>
<li>2007: 93.96%</li>
<li>2008: 91.55% (2007/2008 change: -2.56%)</li>
<li>2009: 87.91% (2008/2009 change: -3.98%)</li>
</ul>
<p><strong>Gloucester County Single Family Home Sales</strong>:</p>
<p>Settled Units:</p>
<ul>
<li>2007: 195</li>
<li>2008: 140 (2007/2008 change: -28.21%)</li>
<li>2009: 120 (2008/2009 change: -14.29%)</li>
</ul>
<p>Average Settled Price:</p>
<ul>
<li>2007: $247,000</li>
<li>2008: $222,000 (2007/2008 change: -10.12%)</li>
<li>2009: $215,000 (2008/2009 change: -3.15%)</li>
</ul>
<p>Median Settled Price:</p>
<ul>
<li>2007: $229,000 </li>
<li>2008: $205,000 (2007/2008 change: -10.48%)</li>
<li>2009: $195,000 (2008/2009 change: -4.88%)</li>
</ul>
<p>Average Percentage Settled Price was of Original Listing Price:</p>
<ul>
<li>2007: 93.63%</li>
<li>2008: 92.05% (2007/2008 change: -1.69%)</li>
<li>2009: 89.09% (2008/2009 change: -3.22%)</li>
</ul>
<p><strong>Mercer County Single Family Home Sales</strong>:</p>
<p>Settled Units:</p>
<ul>
<li>2007: 216</li>
<li>2008: 166 (2007/2008 change: -23.15%)</li>
<li>2009: 103 (2008/2009 change: -37.95%)</li>
</ul>
<p>Average Settled Price:</p>
<ul>
<li>2007: $294,000</li>
<li>2008: $401,000 (2007/2008 change: +36.39%)</li>
<li>2009: $323,000 (2008/2009 change: -19.45%)</li>
</ul>
<p>Median Settled Price:</p>
<ul>
<li>2007: $265,000</li>
<li>2008: $298,000 (2007/2008 change: +12.45%)</li>
<li>2009: $250,000 (2008/2009 change: -16.11%)</li>
</ul>
<p>Average Percentage Settled Price was of Original Listing Price:</p>
<ul>
<li>2007: 92.44%</li>
<li>2008: 89.90% (2007/2008 change: -2.75%)</li>
<li>2009: 89.74% (2008/2009 change: -0.18%)</li>
</ul>
<p><strong>Salem County Single Family Home Sales</strong>:</p>
<p>Settled Units:</p>
<ul>
<li>2007: 43</li>
<li>2008: 30 (2007/2008 change: -30.23%)</li>
<li>2009: 16 (2008/2009 change: -46.67%)</li>
</ul>
<p>Average Settled Price:</p>
<ul>
<li>2007: $172,000</li>
<li>2008: $198,000 (2007/2008 change: +15.12%)</li>
<li>2009: $146,000 (2008/2009 change: -26.26%)</li>
</ul>
<p>Median Settled Price:</p>
<ul>
<li>2007: $154,000</li>
<li>2008: $182,000 (2007/2008 change: +18.18%)</li>
<li>2009: $135,000 (2008/2009 change: -25.82%)</li>
</ul>
<p>Average Percentage Settled Price was of Original Listing Price:</p>
<ul>
<li>2007: 93.30%</li>
<li>2008: 90.52% (2007/2008 change: -2.98%)</li>
<li>2009: 83.08% (2008/2009 change: -8.22%)</li>
</ul>
]]></content:encoded>
			<wfw:commentRss>http://www.roxanneardary.com/blog/year-date-housing-market-snapshot-jan-2009/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
		</item>
		<item>
		<title>Burlington County Real Estate Market Update Jan 2009</title>
		<link>http://www.roxanneardary.com/blog/burlington-county-real-estate-market-update-jan-09/</link>
		<comments>http://www.roxanneardary.com/blog/burlington-county-real-estate-market-update-jan-09/#comments</comments>
		<pubDate>Sun, 15 Feb 2009 14:58:57 +0000</pubDate>
		<dc:creator>Roxanne</dc:creator>
				<category><![CDATA[Burlington County]]></category>
		<category><![CDATA[New Jersey]]></category>
		<category><![CDATA[Real Estate News]]></category>

		<guid isPermaLink="false">http://www.roxanneardary.com/?p=270</guid>
		<description><![CDATA[The January 2009 Burlington County real estate market and activity reports for single family homes provided by Trend MLS.  Graphs and figures compare the real estate sales activity from January 2000 to January 2009.   Click each image to enlarge. Notes on Statistics All statistics are from TREND&#8217;s monthly Residential Activity Reports. Due to the fluid nature of MLS [...]]]></description>
			<content:encoded><![CDATA[<p>The January 2009 Burlington County real estate market and activity reports for single family homes provided by Trend MLS.  Graphs and figures compare the real estate sales activity from January 2000 to January 2009.   Click each image to enlarge.</p>
<p>Notes on Statistics</p>
<ul class="unIndentedList">
<li>All statistics are from TREND&#8217;s monthly Residential Activity Reports. Due to the fluid nature of MLS data, insignificant statistical variations may occur with regard to sales activity between the various TREND reports.</li>
<li>Mobile homes and condominiums are excluded from these statistics.</li>
<li>This report includes information on listings and transactions facilitated through TREND and does not reflect the total number of listings and transactions of a given market area.</li>
<li> All monetary statistics are rounded to the nearest $10.</li>
<li>Percent Change is the change in value as compared to the same month of the previous year. Indicated by +/-0.0%.</li>
</ul>
<p><strong>Burlington County - Single Family - Total Inventory</strong><br />
The number of active single-family listings on the market on the last day of the specified month.</p>
<div class="mceTemp"><a href="http://www.roxanneardary.com/wp-content/uploads/2009/03/jan09bcinventory1.jpg"><img class="aligncenter size-full wp-image-271" src="http://www.roxanneardary.com/wp-content/uploads/2009/03/jan09bcinventory1.jpg" alt="" width="500" height="321" /></a></div>
<p>YOY January Active Listings Comparison:</p>
<ul>
<li>2008: 3,474 </li>
<li>2009:  3,321  (-4.4%)</li>
</ul>
<p><strong>Burlington County &#8211; Single Family &#8211; Inventory Accumulation</strong><br />
The number of months it would take to exhaust the current supply of single-family listings at the current absorption rate.</p>
<p><a href="http://www.roxanneardary.com/wp-content/uploads/2009/03/jan09bcinvaccumulation.jpg"><img class="aligncenter size-full wp-image-272" src="http://www.roxanneardary.com/wp-content/uploads/2009/03/jan09bcinvaccumulation.jpg" alt="" width="500" height="322" /></a></p>
<p>YOY January Inventory Accumulation Comparison:</p>
<ul>
<li>2008: 9.4 months</li>
<li>2009: 11.5 months (22.3%)</li>
</ul>
<p><span id="more-270"></span></p>
<p><strong>Burlington County &#8211; Single Family &#8211; Pending</strong><br />
The number of single-family listings with Pending dates during the specified month. Settlement could be scheduled that month or in the future.</p>
<p><a href="http://www.roxanneardary.com/wp-content/uploads/2009/03/jan09bcpending.jpg"><img class="aligncenter size-full wp-image-273" src="http://www.roxanneardary.com/wp-content/uploads/2009/03/jan09bcpending.jpg" alt="" width="500" height="319" /></a></p>
<p>YOY January Pending Contracts Comparison:</p>
<ul>
<li>2008: 289</li>
<li>2009: 196  (-32.2%)</li>
</ul>
<p><strong>Burlington County &#8211; Single Family &#8211; Settled Units</strong><br />
The number of single-family listings with Settled dates during the specified month.</p>
<p><a href="http://www.roxanneardary.com/wp-content/uploads/2009/03/jan09bcsettled.jpg"><img class="aligncenter size-full wp-image-274" src="http://www.roxanneardary.com/wp-content/uploads/2009/03/jan09bcsettled.jpg" alt="" width="500" height="321" /></a></p>
<p>YOY January Settled Units:</p>
<ul>
<li>2008: 233</li>
<li>2009: 162 (-30.5%)</li>
</ul>
<p><strong>Burlington County &#8211; Single Family &#8211; Median Settled Price<br />
</strong>The median price that single-family listings settled for during the specified month. Determined by arranging all Settled Listings in numerical order by price and then selecting the middle value.</p>
<p><a href="http://www.roxanneardary.com/wp-content/uploads/2009/03/jan09bcmedian.jpg"><img class="aligncenter size-full wp-image-277" src="http://www.roxanneardary.com/wp-content/uploads/2009/03/jan09bcmedian.jpg" alt="" width="500" height="324" /></a></p>
<p>YOY January Median Settled Price:</p>
<ul>
<li>2008: $234,000</li>
<li>2009: $225,000 (-3.8%)</li>
</ul>
<p><strong>Burlington County &#8211; Single-Family &#8211; Average Settled Price<br />
</strong>The average price that single-family listings settled for during the specified month. Determined by dividing the Total Settled Volume by the number of Settled Listings.</p>
<p><a href="http://www.roxanneardary.com/wp-content/uploads/2009/03/jan09bcprice.jpg"><img class="aligncenter size-full wp-image-275" src="http://www.roxanneardary.com/wp-content/uploads/2009/03/jan09bcprice.jpg" alt="" width="500" height="322" /></a></p>
<p>YOY January Average Settled Price:</p>
<ul>
<li>2008: $275,000</li>
<li>2009: $257,000 (-6.5%)</li>
</ul>
<p><strong>Burlington County &#8211; Single Family &#8211; Average Settled Price / Original Listing Price</strong><br />
The average percentage of the Original Price that single-family listings settled for during the specified month. This number is determined by dividing the Settled Price by the Original Price for every listing, summing them and then dividing by the number of settled listings. TREND excludes listings if the Settled Price is greater than 150 percent or less than 50 percent of the Original Price. This ensures the percentage is more representative of listings in the market area.</p>
<p> <a href="http://www.roxanneardary.com/wp-content/uploads/2009/03/jan09bcpercentprice.jpg"><img class="aligncenter size-full wp-image-276" src="http://www.roxanneardary.com/wp-content/uploads/2009/03/jan09bcpercentprice.jpg" alt="" width="500" height="323" /></a></p>
<p>YOY January Average Percentage of Original List Price on Settled Units</p>
<ul>
<li>2008: 91.3% </li>
<li>2009: 88.7% (-2.8%)</li>
</ul>
]]></content:encoded>
			<wfw:commentRss>http://www.roxanneardary.com/blog/burlington-county-real-estate-market-update-jan-09/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Senate Agrees to Add Home Buyer Tax Break</title>
		<link>http://www.roxanneardary.com/blog/senate-adds-home-buyer-tax-break/</link>
		<comments>http://www.roxanneardary.com/blog/senate-adds-home-buyer-tax-break/#comments</comments>
		<pubDate>Thu, 05 Feb 2009 15:15:24 +0000</pubDate>
		<dc:creator>Roxanne</dc:creator>
				<category><![CDATA[Burlington County]]></category>
		<category><![CDATA[Camden County]]></category>
		<category><![CDATA[Gloucester County]]></category>
		<category><![CDATA[Home Buying Advice]]></category>
		<category><![CDATA[Real Estate News]]></category>

		<guid isPermaLink="false">http://www.roxanneardary.com/?p=268</guid>
		<description><![CDATA[Update 2-15-09:  Final Stimulus Bill passed in Congress and set to be signed by the President on Monday.  Congress decided not to go forward with the Isakson Amendment and produced a modified version of the current tax break for first time homebuyers.  From Winners and losers in the final stimulus bill : Homebuyers: First-time homebuyers who [...]]]></description>
			<content:encoded><![CDATA[<p><strong>Update 2-15-09:</strong>  Final Stimulus Bill passed in Congress and set to be signed by the President on Monday.  Congress decided not to go forward with the Isakson Amendment and produced a modified version of the current tax break for first time homebuyers.  From <a href="http://www.cnn.com/2009/POLITICS/02/13/stimulus.winners.losers/index.html">Winners and losers in the final stimulus bill</a> :</p>
<blockquote><p><strong>Homebuyers: </strong>First-time homebuyers who purchase this calendar year get an $8,000 tax credit which does not have to be repaid like a similar measure last year. This phases out for people making more than $75,000 individually or $150,000 jointly. &#8220;First-time homebuyer&#8221; is defined as someone who has not owned a home for the past three years. Cost: $6.63 billion. </p>
</blockquote>
<p><span id="more-268"></span></p>
<p>2/05/09  Wednesday evening the Senate unanimously approved by voice vote to add the Isakson Amendment to the stimulus package.  The Isakson amendment would allow home buyers a tax credit of up to $15,000 on home&#8217;s purchased within the next year. <a href="http://www.nytimes.com/2009/02/05/us/politics/05stimulus.html?hp">From the article:</a> </p>
<blockquote><p>&#8220;We do have a history in this country with housing and it goes back to the crash of 1974, which actually in terms of inventory and price declines was comparable to what&#8217;s happening now,&#8221; Mr. Isakson said at a news conference.</p>
<p>&#8220;Within one year of the inception of that tax credit, two-thirds of the available inventory that was on the market was gone. The market moved back to a balanced inventory, values stabilized and things became very healthy. The only reason I know all of that is I was selling houses in 1974, that&#8217;s what I was doing to feed my family and make a living.&#8221;</p>
<p>The tax credit would give buyers 10 percent of the price of a primary residence bought within one year, up to $15,000, and is intended to stabilize plummeting home prices, which caused a wave of foreclosures and led to the near collapse of the financial system as Wall Street firms wrote down billions in mortgage-backed assets. </p>
</blockquote>
<p>The Senate is hoping for the final vote on the Stimulus package to happen Thursday.  The problem they have to contend with is the cost.  President Obama had set a limit of $900 billion for the total package, and it is believed that with this addition along with others, the package well exceeds that figure.  Now they will be deciding which aspects of the stimulus package will be cut for it to proceed.</p>
]]></content:encoded>
			<wfw:commentRss>http://www.roxanneardary.com/blog/senate-adds-home-buyer-tax-break/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>South Jersey Real Estate Market Update 02-09</title>
		<link>http://www.roxanneardary.com/blog/south-jersey-real-estate-market-update-0209/</link>
		<comments>http://www.roxanneardary.com/blog/south-jersey-real-estate-market-update-0209/#comments</comments>
		<pubDate>Mon, 02 Feb 2009 04:30:15 +0000</pubDate>
		<dc:creator>Roxanne</dc:creator>
				<category><![CDATA[Burlington County]]></category>
		<category><![CDATA[Camden County]]></category>
		<category><![CDATA[Gloucester County]]></category>
		<category><![CDATA[Real Estate News]]></category>

		<guid isPermaLink="false">http://www.roxanneardary.com/?p=258</guid>
		<description><![CDATA[The following information is provided by Trend MLS as of February 1, 2009 for residential real estate listings available within Trend MLS.  Burlington County Number of available properties: 3,546 January number of new listings: 747 12 month average number of homes sold per month: 338 January number of homes sold: 171 Inventory accumulation: 10 months Average sold price [...]]]></description>
			<content:encoded><![CDATA[<p>The following information is provided by Trend MLS as of February 1, 2009 for residential real estate listings available within Trend MLS. </p>
<p>Burlington County</p>
<p>Number of available properties: 3,546<br />
January number of new listings: 747<br />
12 month average number of homes sold per month: 338<br />
January number of homes sold: 171<br />
Inventory accumulation: 10 months<br />
Average sold price YTD: $247, 757</p>
<p><span id="more-258"></span>Camden County</p>
<p>Number of available properties: 3,768<br />
January number of new listings: 804<br />
12 month average number of homes sold per month: 350<br />
January number of homes sold: 154<br />
Inventory accumulation: 10 months<br />
Average sold price YTD: $183,523</p>
<p>Gloucester County</p>
<p>Number of available properties: 2,214<br />
January number of new listings: 482<br />
12 month average number of homes sold per month: 184<br />
January number of homes sold: 117<br />
Inventory accumulation: 12 months<br />
Average sold price YTD: $213,796</p>
<p><em>Trend MLS disclaimer:  Information may be revised at a later date, deemed reliable but not guarenteed and may be subject to errors or omissions.</em></p>
]]></content:encoded>
			<wfw:commentRss>http://www.roxanneardary.com/blog/south-jersey-real-estate-market-update-0209/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>The Magic Mushroom House</title>
		<link>http://www.roxanneardary.com/blog/magic-mushroom-house/</link>
		<comments>http://www.roxanneardary.com/blog/magic-mushroom-house/#comments</comments>
		<pubDate>Thu, 22 Jan 2009 05:24:47 +0000</pubDate>
		<dc:creator>Roxanne</dc:creator>
				<category><![CDATA[Architecture and Design]]></category>
		<category><![CDATA[Strange and Unusual]]></category>

		<guid isPermaLink="false">http://www.roxanneardary.com/?p=260</guid>
		<description><![CDATA[Featured in the New York Times, this 6,000 sq. ft home located in Aspen, Colorado was built over the course of serveral years beginning in 1973.  Mr. Andre Ulrych, the house&#8217;s architect, builder, and first resident, said he took his design cues from a nautilis shell despite it&#8217;s nickname.   The Magic Mushroom House was the nickname given [...]]]></description>
			<content:encoded><![CDATA[<p><a href="http://www.roxanneardary.com/wp-content/uploads/2009/02/mushroom-outside21.jpg"></a>Featured in the New York Times, this 6,000 sq. ft home located in Aspen, Colorado was built over the course of serveral years beginning in 1973.  Mr. Andre Ulrych, the house&#8217;s architect, builder, and first resident, said he took his design cues from a nautilis shell despite it&#8217;s nickname.   The Magic Mushroom House was the nickname given to the home because of its appearance, decor, and the era in which it was built.  12 levels with platforms are in the home along with a number of ladders and narrow stairways.  The property is now a vacation home for the current owners, Mr. and Mrs. Findlay.  Check it out..</p>
<p style="text-align: center;"><img class="size-full wp-image-263 aligncenter" title="magic mushroom house exterior" src="http://www.roxanneardary.com/wp-content/uploads/2009/02/mushroom-outside1.jpg" alt="" width="500" height="328" /></p>
<p style="text-align: center;"><img class="aligncenter size-full wp-image-264" title="mushroom-inside" src="http://www.roxanneardary.com/wp-content/uploads/2009/02/mushroom-inside.jpg" alt="" width="500" height="329" /></p>
<p style="text-align: center;"><span id="more-260"></span></p>
<p style="text-align: center;"><img class="aligncenter size-full wp-image-265" title="mushroom-inside2" src="http://www.roxanneardary.com/wp-content/uploads/2009/02/mushroom-inside2.jpg" alt="" width="500" height="330" /></p>
<p style="text-align: center;"><img class="aligncenter size-full wp-image-266" title="mushroom-inside4" src="http://www.roxanneardary.com/wp-content/uploads/2009/02/mushroom-inside4.jpg" alt="" width="500" height="421" /></p>
<p style="text-align: center;"><img class="aligncenter size-full wp-image-267" title="mushroom house exterior" src="http://www.roxanneardary.com/wp-content/uploads/2009/02/mushroom-outside22.jpg" alt="Magic Mushroom House at Night" width="500" height="332" /></p>
<p style="text-align: center;">Photos by Michael Brands for The New York Times</p>
<p style="text-align: center;">You can read the full story <a rel="nofollow" href="http://www.nytimes.com/2009/01/16/greathomesanddestinations/16Away.html?pagewanted=1&amp;_r=1">No Home for Squares</a> as well as see the slideshow of all the interior pictures.</p>
]]></content:encoded>
			<wfw:commentRss>http://www.roxanneardary.com/blog/magic-mushroom-house/feed/</wfw:commentRss>
		<slash:comments>25</slash:comments>
		</item>
	</channel>
</rss>

