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	<title>Howard County Real Estate, Montgomery County Real Estate , Carroll County Real Estate, Maryland Real Estate: Kittleman Realty Group &#187; Montgomery County</title>
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		<title>Montgomery County Real Estate Statistics, May 2010</title>
		<link>http://kittlemanrealtygroup.com/2010/06/montgomery-county-real-estate-statistics-may-2010/</link>
		<comments>http://kittlemanrealtygroup.com/2010/06/montgomery-county-real-estate-statistics-may-2010/#comments</comments>
		<pubDate>Mon, 21 Jun 2010 19:27:11 +0000</pubDate>
		<dc:creator>Tom Yeatts</dc:creator>
				<category><![CDATA[Buying Up]]></category>
		<category><![CDATA[For Buyers]]></category>
		<category><![CDATA[For Sellers]]></category>
		<category><![CDATA[Market Research]]></category>
		<category><![CDATA[Montgomery County]]></category>
		<category><![CDATA[Moving Up]]></category>
		<category><![CDATA[Your First Home]]></category>

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		<description><![CDATA[In Montgomery County, days on market have fallen to HALF what they were last year at this time, and sales are up 23.3%, but the median sales price *fell* by 2%.  Bottom line: you could make up in interest savings what you sacrifice in sales price, by selling in today's market.  But you have to be priced and positioned correctly.]]></description>
			<content:encoded><![CDATA[<h3>Montgomery County, MD<br />
Real Estate Market Statistics</h3>
<h2>May 2010 Summary:</h2>
<div id="node-74">
<div></div>
</div>
<table style="height: 132px;" width="537">
<tbody>
<tr>
<th>Statistic</th>
<th>Values</th>
<th title="% change year over year">YoY</th>
<th title="% change month over month">MoM</th>
</tr>
<tr>
<td>Total Sold Dollar Volume</td>
<td>457,199,840</td>
<td>+23.04%</td>
<td>+8.72%</td>
</tr>
<tr>
<td>Total Sales</td>
<td>1,078</td>
<td>+23.34%</td>
<td>+8.34%</td>
</tr>
<tr>
<td>Median Sold Price</td>
<td>351,000</td>
<td>-1.99%</td>
<td>+1.74%</td>
</tr>
<tr>
<td>Avg Sold Price</td>
<td>424,119</td>
<td>-0.25%</td>
<td>+0.35%</td>
</tr>
<tr>
<td>Avg Days on Market</td>
<td>51</td>
<td>-51.43%</td>
<td>-19.05%</td>
</tr>
<tr>
<td>Avg Sold to Avg List Ratio</td>
<td>95.97%</td>
<td>+5.51%</td>
<td>+1.53%</td>
</tr>
</tbody>
</table>
<p id="summaryCharts"><img src="http://chart.apis.google.com/chart?chma=50,0,0,0&amp;chm=N*cUSD0s*,000000,0,-1,10&amp;cht=bvg&amp;chs=180x135&amp;chtt=Median%20Sold%20Price&amp;chbh=a,1,10&amp;chxt=x,y&amp;chd=t:351000,358117&amp;chds=0,358117&amp;chxr=0,0,358117%7C1,0,358117&amp;chxl=0:%7C2010%7C2009&amp;chf=bg,lg,90,FFFFFF,0,dedede,1&amp;chco=768CB1%7C999999" alt="" /><img src="http://chart.apis.google.com/chart?chma=50,0,0,0&amp;chm=N*f0s*,000000,0,-1,10&amp;cht=bvg&amp;chs=180x135&amp;chtt=Avg%20Days%20on%20Market&amp;chbh=a,1,10&amp;chxt=x,y&amp;chd=t:51,105&amp;chds=0,105&amp;chxr=0,0,105%7C1,0,105&amp;chxl=0:%7C2010%7C2009&amp;chf=bg,lg,90,FFFFFF,0,dedede,1&amp;chco=768CB1%7C999999" alt="" /><img src="http://chart.apis.google.com/chart?chma=50,0,0,0&amp;chm=N*f0s*,000000,0,-1,10&amp;cht=bvg&amp;chs=180x135&amp;chtt=Total%20Sales&amp;chbh=a,1,10&amp;chxt=x,y&amp;chd=t:1078,874&amp;chds=0,1078&amp;chxr=0,0,1078%7C1,0,1078&amp;chxl=0:%7C2010%7C2009&amp;chf=bg,lg,90,FFFFFF,0,dedede,1&amp;chco=768CB1%7C999999" alt="" /></p>
<p>Source: RBI</p>
]]></content:encoded>
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		<title>Montgomery County Has Seven Public High Schools in Newsweek&#8217;s Top 100 List</title>
		<link>http://kittlemanrealtygroup.com/2010/06/montgomery-county-has-seven-public-high-schools-in-newsweeks-top-100-list/</link>
		<comments>http://kittlemanrealtygroup.com/2010/06/montgomery-county-has-seven-public-high-schools-in-newsweeks-top-100-list/#comments</comments>
		<pubDate>Tue, 15 Jun 2010 13:36:14 +0000</pubDate>
		<dc:creator>Tom Yeatts</dc:creator>
				<category><![CDATA[Buying Up]]></category>
		<category><![CDATA[For Buyers]]></category>
		<category><![CDATA[For Sellers]]></category>
		<category><![CDATA[Market Research]]></category>
		<category><![CDATA[Montgomery County]]></category>
		<category><![CDATA[Neighborhoods]]></category>
		<category><![CDATA[Resources]]></category>
		<category><![CDATA[Thoughts from Home]]></category>
		<category><![CDATA[Your First Home]]></category>
		<category><![CDATA[Poolesville]]></category>
		<category><![CDATA[Poolesville High School]]></category>
		<category><![CDATA[rankings]]></category>

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		<description><![CDATA[Poolesville High School is ranked number 59 in the nation!  Way to go, POOLESVILLE!!!]]></description>
			<content:encoded><![CDATA[<p>Montgomery County  Public Schools (MCPS) has seven  schools on Newsweek’s list of the top  100 public high schools in the  nation—the most by one district.     The <a href="http://www.newsweek.com/tag/americas-best-high-schools.html" target="_self">2010 America&#8217;s Best High  Schools</a> list ranks schools   based on their efforts to provide all students access to rigorous   classes, such as Advanced Placement (AP) and International Baccalaureate   (IB) courses.</p>
<p>By having seven schools in the top 100, MCPS breaks its   own record of six, set in 2008. Last year, MCPS had four schools in the   top 100.     The seven high schools are  Richard Montgomery (33),  Poolesville (59), Bethesda-Chevy Chase (63),  Winston Churchill (75),  Thomas Wootton (83), Walt Whitman (85), and  Walter Johnson (95). The  remaining MCPS high schools all finished in the  top 3 percent of all  schools in the nation.</p>
<p>MCPS is the only Maryland  district with  schools in the top 100.     “The Newsweek report is another   confirmation that the reform efforts we have put in place the past 11   years are having a very positive impact,” said Patricia O’Neill,   President of the Montgomery County Board of Education. “We have made a   commitment to giving all students access to college-level work, so they   are better prepared for the rigors of post-secondary classes.&#8221;     Several MCPS high schools made  significant gains on the list from last  year, most notably Poolesville  High School, which jumped from 305th to  59th this year. The list is  based upon the “Challenge Index,” developed  by the Washington Post,  which put out a ranking of Washington-area  schools earlier this year. <a href="http://projects.washingtonpost.com/challengeindex/ranking/2010/" target="_self">MCPS had five schools in  the top 10 on that list</a>.</p>
<p>Receiving a college ready score  on an AP or IB exam has been  identified as one of MCPS’ “<a href="http://www.mcps7keys.org/" target="_self">7 Keys to College  Readiness</a>,” a series of K-12 benchmarks that lays out a pathway to  college  preparedness.     Students who succeed in rigorous  classes,  like AP, are more than three times as likely to get a  bachelor’s degree  than those who do not, according to college completion  data.  Among  MCPS students in the classes of 2001-2004, only 25 percent  of those who  did not take an AP exam earned a bachelor’s degree.</p>
<p>But  among those  students who took at least one AP exam, 60 percent earned a  degree, and  among those who scored 3 or higher on at least one exam, 76  percent  earned a bachelor’s degree.    “By providing broader access to  rigorous  classes, we are giving our students a distinct advantage in  college,”  Superintendent Jerry D. Weast said. “Simply taking an AP class  more  than doubles a student’s chances of earning a bachelor’s degree,  which  leads to higher lifetime earnings and greater success in the   workplace.”<br />
The Newsweek list is the latest in a string of  accolades  about the performance of MCPS students:</p>
<ul>
<li>MCPS has  the <a href="http://www.montgomeryschoolsmd.org/press/index.aspx?page=showrelease&amp;id=2780" target="_self">highest graduation rate  among the nation’s large school  districts</a>, according to a report released by Education  Week on  Thursday. The MCPS graduation rate of 83.1 percent is  significantly  higher than the state and national rates.</li>
<li>The class of 2010 has  earned <a href="http://www.montgomeryschoolsmd.org/press/index.aspx?pagetype=showrelease&amp;id=2762&amp;type=&amp;startYear=&amp;pageNumber=2&amp;mode=" target="_self">$232 million in college  scholarships</a> so far this  year,  an all-time record for the district and nearly $50 million more  than  last year.</li>
<li>MCPS has been named one of five  finalists for  the <a href="http://www.montgomeryschoolsmd.org/press/index.aspx?pagetype=showrelease&amp;id=2727&amp;type=&amp;startYear=&amp;pageNumber=3&amp;mode=" target="_self">$1 million Broad Prize  for Urban Education</a>, which   recognizes large school districts that raised student achievement and   narrowed the achievement gap.</li>
</ul>
<p>America&#8217;s Best High Schools   Rankings for All MCPS Schools</p>
<table border="1" cellspacing="0" cellpadding="0" width="291">
<tbody>
<tr>
<td width="36" valign="top">RANK</td>
<td width="132" valign="top">SCHOOL</td>
<td width="82" valign="top">CITY</td>
<td width="41" valign="top">STATE</td>
</tr>
<tr>
<td width="36" valign="top">33</td>
<td width="132" valign="top">Richard Montgomery</td>
<td width="82" valign="top">Rockville</td>
<td width="41" valign="top">MD</td>
</tr>
<tr>
<td width="36" valign="top">59</td>
<td width="132" valign="top">Poolesville</td>
<td width="82" valign="top">Poolesville</td>
<td width="41" valign="top">MD</td>
</tr>
<tr>
<td width="36" valign="top">63</td>
<td width="132" valign="top">Bethesda-Chevy Chase</td>
<td width="82" valign="top">Bethesda</td>
<td width="41" valign="top">MD</td>
</tr>
<tr>
<td width="36" valign="top">75</td>
<td width="132" valign="top">Winston Churchill</td>
<td width="82" valign="top">Potomac</td>
<td width="41" valign="top">MD</td>
</tr>
<tr>
<td width="36" valign="top">83</td>
<td width="132" valign="top">Wootton</td>
<td width="82" valign="top">Rockville</td>
<td width="41" valign="top">MD</td>
</tr>
<tr>
<td width="36" valign="top">85</td>
<td width="132" valign="top">Walt Whitman</td>
<td width="82" valign="top">Bethesda</td>
<td width="41" valign="top">MD</td>
</tr>
<tr>
<td width="36" valign="top">95</td>
<td width="132" valign="top">Walter Johnson</td>
<td width="82" valign="top">Bethesda</td>
<td width="41" valign="top">MD</td>
</tr>
<tr>
<td width="36" valign="top">139</td>
<td width="132" valign="top">Montgomery  Blair</td>
<td width="82" valign="top">Silver Spring</td>
<td width="41" valign="top">MD</td>
</tr>
<tr>
<td width="36" valign="top">218</td>
<td width="132" valign="top">Quince  Orchard</td>
<td width="82" valign="top">Gaithersburg</td>
<td width="41" valign="top">MD</td>
</tr>
<tr>
<td width="36" valign="top">263</td>
<td width="132" valign="top">Paint Branch</td>
<td width="82" valign="top">Burtonsville</td>
<td width="41" valign="top">MD</td>
</tr>
<tr>
<td width="36" valign="top">299</td>
<td width="132" valign="top">Rockville</td>
<td width="82" valign="top">Rockville</td>
<td width="41" valign="top">MD</td>
</tr>
<tr>
<td width="36" valign="top">361</td>
<td width="132" valign="top">Albert Einstein</td>
<td width="82" valign="top">Kensington</td>
<td width="41" valign="top">MD</td>
</tr>
<tr>
<td width="36" valign="top">364</td>
<td width="132" valign="top">Sherwood</td>
<td width="82" valign="top">Sandy Spring</td>
<td width="41" valign="top">MD</td>
</tr>
<tr>
<td width="36" valign="top">433</td>
<td width="132" valign="top">Blake</td>
<td width="82" valign="top">Silver Spring</td>
<td width="41" valign="top">MD</td>
</tr>
<tr>
<td width="36" valign="top">439</td>
<td width="132" valign="top">Northwest</td>
<td width="82" valign="top">Germantown</td>
<td width="41" valign="top">MD</td>
</tr>
<tr>
<td width="36" valign="top">481</td>
<td width="132" valign="top">Magruder</td>
<td width="82" valign="top">Rockville</td>
<td width="41" valign="top">MD</td>
</tr>
<tr>
<td width="36" valign="top">521</td>
<td width="132" valign="top">Gaithersburg</td>
<td width="82" valign="top">Gaithersburg</td>
<td width="41" valign="top">MD</td>
</tr>
<tr>
<td width="36" valign="top">538</td>
<td width="132" valign="top">John F. Kennedy</td>
<td width="82" valign="top">Silver  Spring</td>
<td width="41" valign="top">MD</td>
</tr>
<tr>
<td width="36" valign="top">541</td>
<td width="132" valign="top">Wheaton</td>
<td width="82" valign="top">Silver Spring</td>
<td width="41" valign="top">MD</td>
</tr>
<tr>
<td width="36" valign="top">546</td>
<td width="132" valign="top">Springbrook</td>
<td width="82" valign="top">Silver Spring</td>
<td width="41" valign="top">MD</td>
</tr>
<tr>
<td width="36" valign="top">553</td>
<td width="132" valign="top">Damascus</td>
<td width="82" valign="top">Damascus</td>
<td width="41" valign="top">MD</td>
</tr>
<tr>
<td width="36" valign="top">656</td>
<td width="132" valign="top">Clarksburg</td>
<td width="82" valign="top">Clarksburg</td>
<td width="41" valign="top">MD</td>
</tr>
<tr>
<td width="36" valign="top">723</td>
<td width="132" valign="top">Seneca Valley</td>
<td width="82" valign="top">Germantown</td>
<td width="41" valign="top">MD</td>
</tr>
<tr>
<td width="36" valign="top">741</td>
<td width="132" valign="top">Watkins Mill</td>
<td width="82" valign="top">Gaithersburg</td>
<td width="41" valign="top">MD</td>
</tr>
<tr>
<td width="36" valign="top">752</td>
<td width="132" valign="top">Northwood</td>
<td width="82" valign="top">Silver Spring</td>
<td width="41" valign="top">MD</td>
</tr>
</tbody>
</table>
<p>Source: Newsweek&#8217;s America&#8217;s Best High Schools 2010<a href="http://www.newsweek.com/tag/americas-best-high-schools.html" target="_self"><br />
</a><br />
See <a href="http://www.newsweek.com/2010/06/13/america-s-best-high-schools-faq.html" target="_blank">frequently asked questions</a> about the list.</p>
<p>Source: MCPS,<a href="http://www.montgomeryschoolsmd.org/press/index.aspx?page=showrelease&amp;id=2783" target="_blank"> http://www.montgomeryschoolsmd.org/press/index.aspx?page=showrelease&amp;id=2783</a></p>
]]></content:encoded>
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		<item>
		<title>Montgomery County Real Estate Sales, January 2010</title>
		<link>http://kittlemanrealtygroup.com/2010/02/montgomery-county-real-estate-sales-january-2010/</link>
		<comments>http://kittlemanrealtygroup.com/2010/02/montgomery-county-real-estate-sales-january-2010/#comments</comments>
		<pubDate>Mon, 22 Feb 2010 17:24:06 +0000</pubDate>
		<dc:creator>Tom Yeatts</dc:creator>
				<category><![CDATA[Market Research]]></category>
		<category><![CDATA[Montgomery County]]></category>

		<guid isPermaLink="false">http://kittlemanrealtygroup.com/?p=583</guid>
		<description><![CDATA[Raw data for Montgomery County home sales in January.  For the meaning behind the numbers, stay tuned - and be sure to SUBSCRIBE to this blog!]]></description>
			<content:encoded><![CDATA[<p><strong>Metropolitan Regional Information Systems, Inc.</strong> <strong>Real Estate  Trend Indicator &#8211; &lt;$30K to &gt;$500K Format</strong></p>
<p>Montgomery County, MD<br />
From: 01/01/2010 to 01/31/2010                 	Statistics generated on: 02/09/2010</p>
<table border="1" cellspacing="0" cellpadding="0" width="100%">
<tbody>
<tr>
<td valign="middle"></td>
<td colspan="4" valign="middle"><strong><span>Residential<br />
Unit Sales<br />
Number of Bedrooms</span></strong></td>
<td colspan="2" valign="middle"><strong><span>Active Listings</span></strong></td>
<td rowspan="22" valign="middle" bgcolor="#000000"><span> </span></td>
<td colspan="2" valign="middle"><strong><span>Time on Market</span></strong></td>
</tr>
<tr>
<td align="CENTER" valign="middle"><span>Price Class</span></td>
<td valign="middle"><span>2<br />
Or Less </span></td>
<td valign="middle">
<span>3</span></td>
<td valign="middle"><span>4<br />
or More </span></td>
<td valign="middle"><span>Condo<br />
Coop and<br />
Ground Rent</span></td>
<td valign="middle"><span>Residential<br />
</span></td>
<td valign="middle"><span>Condo<br />
Coop and<br />
Ground Rent</span></td>
<td colspan="2" valign="middle"><span>of Units Sold<br />
(No. of Units)</span></td>
</tr>
<tr>
<td valign="middle"><span>Under $30,000</span></td>
<td valign="middle"><span> 0</span></td>
<td valign="middle"><span> 0</span></td>
<td valign="middle"><span> 0</span></td>
<td valign="middle"><span> 0</span></td>
<td valign="middle"><span> 0</span></td>
<td valign="middle"><span> 1</span></td>
<td valign="middle"><span>1 -30 Days</span></td>
<td valign="middle"><span> 265</span></td>
</tr>
<tr>
<td valign="middle"><span>$30,000-$39,000</span></td>
<td valign="middle"><span> 0</span></td>
<td valign="middle"><span> 0</span></td>
<td valign="middle"><span> 0</span></td>
<td valign="middle"><span> 0</span></td>
<td valign="middle"><span> 0</span></td>
<td valign="middle"><span> 1</span></td>
<td valign="middle"><span>31-60 Days</span></td>
<td valign="middle"><span> 118</span></td>
</tr>
<tr>
<td valign="middle"><span>$40,000-$49,999</span></td>
<td valign="middle"><span> 0</span></td>
<td valign="middle"><span> 0</span></td>
<td valign="middle"><span> 0</span></td>
<td valign="middle"><span> 1</span></td>
<td valign="middle"><span> 1</span></td>
<td valign="middle"><span> 7</span></td>
<td valign="middle"><span>61 &#8211; 90 Days</span></td>
<td valign="middle"><span> 55</span></td>
</tr>
<tr>
<td valign="middle"><span>$50,000-$59,999</span></td>
<td valign="middle"><span> 0</span></td>
<td valign="middle"><span> 0</span></td>
<td valign="middle"><span> 0</span></td>
<td valign="middle"><span> 5</span></td>
<td valign="middle"><span> 0</span></td>
<td valign="middle"><span> 4</span></td>
<td valign="middle"><span>91-120 Days</span></td>
<td valign="middle"><span> 33</span></td>
</tr>
<tr>
<td valign="middle"><span>$60,000-$69,999</span></td>
<td valign="middle"><span> 0</span></td>
<td valign="middle"><span> 0</span></td>
<td valign="middle"><span> 0</span></td>
<td valign="middle"><span> 1</span></td>
<td valign="middle"><span> 1</span></td>
<td valign="middle"><span> 11</span></td>
<td valign="middle"><span>Over 120 Days</span></td>
<td valign="middle"><span> 105</span></td>
</tr>
<tr>
<td valign="middle"><span>$70,000-$79,999</span></td>
<td valign="middle"><span> 0</span></td>
<td valign="middle"><span> 0</span></td>
<td valign="middle"><span> 0</span></td>
<td valign="middle"><span> 4</span></td>
<td valign="middle"><span> 2</span></td>
<td valign="middle"><span> 28</span></td>
<td valign="middle"><span>Total</span></td>
<td valign="middle"><span> 576</span></td>
</tr>
<tr>
<td valign="middle"><span>$80,000-$89,999</span></td>
<td valign="middle"><span> 0</span></td>
<td valign="middle"><span> 0</span></td>
<td valign="middle"><span> 0</span></td>
<td valign="middle"><span> 4</span></td>
<td valign="middle"><span> 0</span></td>
<td valign="middle"><span> 34</span></td>
<td valign="middle"></td>
<td valign="middle"></td>
</tr>
<tr>
<td valign="middle"><span>$90,000-$99,999</span></td>
<td valign="middle"><span> 0</span></td>
<td valign="middle"><span> 2</span></td>
<td valign="middle"><span> 0</span></td>
<td valign="middle"><span> 5</span></td>
<td valign="middle"><span> 3</span></td>
<td valign="middle"><span> 46</span></td>
<td colspan="2" rowspan="2" valign="middle"><strong><span>Type of Financing<br />
of Units Sold<br />
(No. of Units)</span></strong></td>
</tr>
<tr>
<td valign="middle"><span>$100,000-$119,999</span></td>
<td valign="middle"><span> 0</span></td>
<td valign="middle"><span> 4</span></td>
<td valign="middle"><span> 3</span></td>
<td valign="middle"><span> 9</span></td>
<td valign="middle"><span> 18</span></td>
<td valign="middle"><span> 65</span></td>
</tr>
<tr>
<td valign="middle"><span>$120,000-$139,999</span></td>
<td valign="middle"><span> 3</span></td>
<td valign="middle"><span> 6</span></td>
<td valign="middle"><span> 2</span></td>
<td valign="middle"><span> 7</span></td>
<td valign="middle"><span> 40</span></td>
<td valign="middle"><span> 73</span></td>
<td valign="middle"><span>Conventional</span></td>
<td valign="middle"><span> 258</span></td>
</tr>
<tr>
<td valign="middle"><span>$140,000-$159,999</span></td>
<td valign="middle"><span> 4</span></td>
<td valign="middle"><span> 10</span></td>
<td valign="middle"><span> 1</span></td>
<td valign="middle"><span> 19</span></td>
<td valign="middle"><span> 63</span></td>
<td valign="middle"><span> 78</span></td>
<td valign="middle"><span>FHA</span></td>
<td valign="middle"><span> 174</span></td>
</tr>
<tr>
<td valign="middle"><span>$160,000-$179,999</span></td>
<td valign="middle"><span> 1</span></td>
<td valign="middle"><span> 8</span></td>
<td valign="middle"><span> 5</span></td>
<td valign="middle"><span> 7</span></td>
<td valign="middle"><span> 78</span></td>
<td valign="middle"><span> 92</span></td>
<td valign="middle"><span>VA</span></td>
<td valign="middle"><span> 12</span></td>
</tr>
<tr>
<td valign="middle"><span>$180,000-$199,999</span></td>
<td valign="middle"><span> 3</span></td>
<td valign="middle"><span> 17</span></td>
<td valign="middle"><span> 0</span></td>
<td valign="middle"><span> 9</span></td>
<td valign="middle"><span> 108</span></td>
<td valign="middle"><span> 88</span></td>
<td valign="middle"><span>Assumption</span></td>
<td valign="middle"><span> 16</span></td>
</tr>
<tr>
<td valign="middle"><span>$200,000-$249,999</span></td>
<td valign="middle"><span> 4</span></td>
<td valign="middle"><span> 33</span></td>
<td valign="middle"><span> 13</span></td>
<td valign="middle"><span> 12</span></td>
<td valign="middle"><span> 273</span></td>
<td valign="middle"><span> 152</span></td>
<td valign="middle"><span>Cash</span></td>
<td valign="middle"><span> 108</span></td>
</tr>
<tr>
<td valign="middle"><span>$250,000-$299,999</span></td>
<td valign="middle"><span> 4</span></td>
<td valign="middle"><span> 24</span></td>
<td valign="middle"><span> 20</span></td>
<td valign="middle"><span> 14</span></td>
<td valign="middle"><span> 297</span></td>
<td valign="middle"><span> 131</span></td>
<td valign="middle"><span>Owner Finance</span></td>
<td valign="middle"><span> 0</span></td>
</tr>
<tr>
<td valign="middle"><span>$300,000-$399,999</span></td>
<td valign="middle"><span> 2</span></td>
<td valign="middle"><span> 47</span></td>
<td valign="middle"><span> 44</span></td>
<td valign="middle"><span> 18</span></td>
<td valign="middle"><span> 557</span></td>
<td valign="middle"><span> 143</span></td>
<td valign="middle"><span>All Other</span></td>
<td valign="middle"><span> 8</span></td>
</tr>
<tr>
<td valign="middle"><span>$400,000-$499,999</span></td>
<td valign="middle"><span> 0</span></td>
<td valign="middle"><span> 17</span></td>
<td valign="middle"><span> 30</span></td>
<td valign="middle"><span> 11</span></td>
<td valign="middle"><span> 320</span></td>
<td valign="middle"><span> 50</span></td>
<td valign="middle"><span>Unreported</span></td>
<td valign="middle"><span> 0</span></td>
</tr>
<tr>
<td valign="middle"><span>Over $500,000</span></td>
<td valign="middle"><span> 4</span></td>
<td valign="middle"><span> 26</span></td>
<td valign="middle"><span> 101</span></td>
<td valign="middle"><span> 12</span></td>
<td valign="middle"><span> 968</span></td>
<td valign="middle"><span> 80</span></td>
<td valign="middle"><span>Total</span></td>
<td valign="middle"><span> 576</span></td>
</tr>
<tr>
<td valign="middle"><span>Totals</span></td>
<td valign="middle"><span> 25</span></td>
<td valign="middle"><span> 194</span></td>
<td valign="middle"><span> 219</span></td>
<td valign="middle"><span> 138</span></td>
<td valign="middle"><span> 2729</span></td>
<td valign="middle"><span> 1084</span></td>
<td valign="middle"></td>
<td valign="middle"></td>
</tr>
<tr>
<td><span>Grand Totals</span></td>
<td colspan="4" align="CENTER"><span> 576</span></td>
<td colspan="2" align="CENTER"><span> 3813</span></td>
</tr>
</tbody>
</table>
<table border="1" width="100%">
<tbody>
<tr>
<td>
<table border="0">
<tbody>
<tr>
<th></th>
<th align="right"> <span style="text-decoration: underline;"><span>2010</span></span></th>
<th align="right"> <span style="text-decoration: underline;"><span>2009</span></span></th>
<th align="right"> <span style="text-decoration: underline;"><span>% Change</span></span></th>
</tr>
<tr>
<td align="right"><strong><span>Total Sold Dollar Volume:</span></strong></td>
<td align="right"><span>$      232,198,094</span></td>
<td align="right"><span>$      163,251,892</span></td>
<td align="right"><span> 42.23 %</span></td>
</tr>
<tr>
<td align="right"><strong><span>Average Sold Price:</span></strong></td>
<td align="right"><span>$   403,122</span></td>
<td align="right"><span>$   421,840</span></td>
<td align="right"><span>-        4.44 %</span></td>
</tr>
<tr>
<td align="right"><strong><span>Median Sold Price:</span></strong></td>
<td align="right"><span>$   326,250</span></td>
<td align="right"><span>$   319,000</span></td>
<td align="right"><span> 2.27 %</span></td>
</tr>
<tr>
<td align="right"><strong><span>Total Units Sold:</span></strong></td>
<td align="right"><span> 576</span></td>
<td align="right"><span> 387</span></td>
<td align="right"><span> 48.84 %</span></td>
</tr>
<tr>
<td align="right"><strong><span>Average Days on Market:</span></strong></td>
<td align="right"><span> 75</span></td>
<td align="right"><span> 120</span></td>
<td align="right"><span>-       37.50 %</span></td>
</tr>
<tr>
<td align="right"><strong><span>Average List Price for Solds:</span></strong></td>
<td align="right"><span>$   435,640</span></td>
<td align="right"><span>$   475,064</span></td>
<td align="right"><span>-        8.30 %</span></td>
</tr>
<tr>
<td align="right"><strong><span>Avg Sale Price as a  percentage of Avg List Price:</span></strong></td>
<td align="right"><span> 92.54 %</span></td>
<td align="right"><span> 88.80 %</span></td>
</tr>
</tbody>
</table>
</td>
<td>
<table border="0">
<tbody>
<tr>
<td align="right"><span><strong>Total Number of NEW listings</strong></span></td>
</tr>
<tr>
<td align="right"><strong><span>taken for the month: </span></strong></td>
<td><span> 1232</span></td>
</tr>
<tr>
<td align="right">
<span><strong>Total Number of Properties </strong></span></td>
</tr>
<tr>
<td align="right"><strong><span>marked Contract for the  month: </span></strong></td>
<td><span> 434</span></td>
</tr>
<tr>
<td align="right"><span><strong>Total Number of Properties </strong></span></td>
</tr>
<tr>
<td align="right"><strong><span>marked Contingent for the  month: </span></strong></td>
<td><span style="text-decoration: underline;"> <span> 558</span> </span></td>
</tr>
<tr>
<td align="right">
<span><strong>Total Number of NEW  pendings </strong></span></td>
</tr>
<tr>
<td align="right"><span><strong>(CONTRACTS + CONTINGENTS): </strong></span></td>
<td><span> 992</span></td>
</tr>
</tbody>
</table>
</td>
</tr>
</tbody>
</table>
<p>Source: Metropolitan Regional Information Systems, Inc.  &#8211;  MLS  Resale Data<br />
<span>Copyright 2010 &#8211; Information deemed reliable, but is not guaranteed.</span></p>
]]></content:encoded>
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		</item>
		<item>
		<title>Let&#8217;s Do The Numbers &#8211; MoCo and HoCo, October 2009</title>
		<link>http://kittlemanrealtygroup.com/2009/11/lets-do-the-numbers-moco-and-hoco-october-2009/</link>
		<comments>http://kittlemanrealtygroup.com/2009/11/lets-do-the-numbers-moco-and-hoco-october-2009/#comments</comments>
		<pubDate>Thu, 12 Nov 2009 22:46:08 +0000</pubDate>
		<dc:creator>Tom Yeatts</dc:creator>
				<category><![CDATA[Howard County]]></category>
		<category><![CDATA[Market Research]]></category>
		<category><![CDATA[Montgomery County]]></category>

		<guid isPermaLink="false">http://kittlemanrealtygroup.com/?p=543</guid>
		<description><![CDATA[The stats are in for October.  Like pretty much every month lately, it&#8217;s good news and bad news.  Let&#8217;s start with the good stuff! Sales volume is UP about 40% in Montgomery and Howard Counties.  So people *are* buying homes.  That&#8217;s the good news. The question is: what are people buying?  It&#8217;s certainly NOT expensive homes.  There [...]]]></description>
			<content:encoded><![CDATA[<p>The stats are in for October.  Like pretty much every month lately, it&#8217;s good news and bad news.  Let&#8217;s start with the good stuff!</p>
<p>Sales volume is UP about 40% in Montgomery and Howard Counties.  So people *are* buying homes.  That&#8217;s the good news.</p>
<p>The question is: what are people buying?  It&#8217;s certainly NOT expensive homes.  There were a mere 247 sales in all of Montgomery County priced above $500,000 last month (26.2% of the total sales), compared with 695 sales under $500k.  In Howard, 53 sales topped the $500,000 mark (or 19.9%)., while 214 sold for under $500k.</p>
<p>While sales volume is up, prices remain flat.  The median sale price is down 10.8% in Montgomery to $330,000.  In Howard the median price fell 8.5% to 325,000.  (The median sale price is the price at which half the houses sold for more, and half sold for less.)</p>
<p>Days on market is down significantly from last year in both MoCo and HoCo, to right at 80 days on average in both counties.  This is about a 30% reduction in selling time in both counties.</p>
<p>Nationally, rehab and investor loan volume is up.  Given these statistics, it&#8217;s clear that distressed properties, sold at a discount, are being removed from inventory. </p>
<p>Active listings are heading down in a seasonal pattern; however, even taking seasonality into account, the available inventory has decreased significantly.  Sales volume is up, again looking beyond the seasonal variations.  These two trends, decreased inventory and increased sales, bode well for market stabilization.  Barring any major shock to the system (shadow REO inventory being dumped on the market, prolonged economic woes, etc.), the trend appears to be one toward stabilization of prices.</p>
]]></content:encoded>
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		</item>
		<item>
		<title>Montgomery County Real Estate Statistics, October 2009</title>
		<link>http://kittlemanrealtygroup.com/2009/11/montgomery-county-real-estate-statistics-october-2009/</link>
		<comments>http://kittlemanrealtygroup.com/2009/11/montgomery-county-real-estate-statistics-october-2009/#comments</comments>
		<pubDate>Thu, 12 Nov 2009 11:20:00 +0000</pubDate>
		<dc:creator>Tom Yeatts</dc:creator>
				<category><![CDATA[Market Research]]></category>
		<category><![CDATA[Montgomery County]]></category>

		<guid isPermaLink="false">http://kittlemanrealtygroup.com/?p=535</guid>
		<description><![CDATA[Here's the raw data for Montgomery County for October.  Analysis to follow!]]></description>
			<content:encoded><![CDATA[<p><strong>Metropolitan Regional Information Systems, Inc.</strong>  <strong>Real Estate Trend Indicator &#8211; &lt;$30K to &gt;$500K Format</strong></p>
<p>Montgomery County, MD<br />
From: 10/01/2009 to 10/31/2009                Statistics generated on: 11/09/2009</p>
<table border="1" cellspacing="0" cellpadding="0" width="100%">
<tbody>
<tr>
<td valign="middle"> </td>
<td colspan="4" valign="middle"><strong><span>Residential<br />
Unit Sales<br />
Number of Bedrooms</span></strong></td>
<td colspan="2" valign="middle"><strong><span>Active Listings</span></strong></td>
<td rowspan="22" valign="middle" bgcolor="#000000"><span> </span></td>
<td colspan="2" valign="middle"><strong><span>Time on Market</span></strong></td>
</tr>
<tr>
<td align="center" valign="middle"><span>Price Class</span></td>
<td valign="middle"><span>2<br />
Or Less  </span></td>
<td valign="middle"><span>3</span></td>
<td valign="middle"><span>4<br />
  or More  </span></td>
<td valign="middle"><span>Condo<br />
Coop and<br />
Ground Rent</span></td>
<td valign="middle"><span>Residential<br />
  </span></td>
<td valign="middle"><span>Condo<br />
Coop and<br />
Ground Rent</span></td>
<td colspan="2" valign="middle"><span>of Units Sold<br />
(No. of Units)</span></td>
</tr>
<tr>
<td valign="middle"><span>Under $30,000</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>2</span></td>
<td valign="middle"><span>1 -30 Days</span></td>
<td valign="middle"><span>453</span></td>
</tr>
<tr>
<td valign="middle"><span>$30,000-$39,000</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>31-60 Days</span></td>
<td valign="middle"><span>126</span></td>
</tr>
<tr>
<td valign="middle"><span>$40,000-$49,999</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>5</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>8</span></td>
<td valign="middle"><span>61 &#8211; 90 Days</span></td>
<td valign="middle"><span>98</span></td>
</tr>
<tr>
<td valign="middle"><span>$50,000-$59,999</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>4</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>8</span></td>
<td valign="middle"><span>91-120 Days</span></td>
<td valign="middle"><span>71</span></td>
</tr>
<tr>
<td valign="middle"><span>$60,000-$69,999</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>6</span></td>
<td valign="middle"><span>1</span></td>
<td valign="middle"><span>9</span></td>
<td valign="middle"><span>Over 120 Days</span></td>
<td valign="middle"><span>194</span></td>
</tr>
<tr>
<td valign="middle"><span>$70,000-$79,999</span></td>
<td valign="middle"><span>1</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>3</span></td>
<td valign="middle"><span>1</span></td>
<td valign="middle"><span>19</span></td>
<td valign="middle"><span>Total</span></td>
<td valign="middle"><span>942</span></td>
</tr>
<tr>
<td valign="middle"><span>$80,000-$89,999</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>6</span></td>
<td valign="middle"><span>2</span></td>
<td valign="middle"><span>35</span></td>
<td valign="middle"> </td>
<td valign="middle"> </td>
</tr>
<tr>
<td valign="middle"><span>$90,000-$99,999</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>6</span></td>
<td valign="middle"><span>6</span></td>
<td valign="middle"><span>26</span></td>
<td colspan="2" rowspan="2" valign="middle"><strong><span>Type of Financing<br />
of Units Sold<br />
(No. of Units)</span></strong></td>
</tr>
<tr>
<td valign="middle"><span>$100,000-$119,999</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>3</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>9</span></td>
<td valign="middle"><span>22</span></td>
<td valign="middle"><span>69</span></td>
</tr>
<tr>
<td valign="middle"><span>$120,000-$139,999</span></td>
<td valign="middle"><span>2</span></td>
<td valign="middle"><span>7</span></td>
<td valign="middle"><span>1</span></td>
<td valign="middle"><span>16</span></td>
<td valign="middle"><span>43</span></td>
<td valign="middle"><span>78</span></td>
<td valign="middle"><span>Conventional</span></td>
<td valign="middle"><span>428</span></td>
</tr>
<tr>
<td valign="middle"><span>$140,000-$159,999</span></td>
<td valign="middle"><span>4</span></td>
<td valign="middle"><span>11</span></td>
<td valign="middle"><span>1</span></td>
<td valign="middle"><span>26</span></td>
<td valign="middle"><span>69</span></td>
<td valign="middle"><span>92</span></td>
<td valign="middle"><span>FHA</span></td>
<td valign="middle"><span>335</span></td>
</tr>
<tr>
<td valign="middle"><span>$160,000-$179,999</span></td>
<td valign="middle"><span>3</span></td>
<td valign="middle"><span>18</span></td>
<td valign="middle"><span>4</span></td>
<td valign="middle"><span>12</span></td>
<td valign="middle"><span>78</span></td>
<td valign="middle"><span>97</span></td>
<td valign="middle"><span>VA</span></td>
<td valign="middle"><span>29</span></td>
</tr>
<tr>
<td valign="middle"><span>$180,000-$199,999</span></td>
<td valign="middle"><span>2</span></td>
<td valign="middle"><span>22</span></td>
<td valign="middle"><span>2</span></td>
<td valign="middle"><span>10</span></td>
<td valign="middle"><span>111</span></td>
<td valign="middle"><span>92</span></td>
<td valign="middle"><span>Assumption</span></td>
<td valign="middle"><span>31</span></td>
</tr>
<tr>
<td valign="middle"><span>$200,000-$249,999</span></td>
<td valign="middle"><span>6</span></td>
<td valign="middle"><span>48</span></td>
<td valign="middle"><span>19</span></td>
<td valign="middle"><span>36</span></td>
<td valign="middle"><span>273</span></td>
<td valign="middle"><span>185</span></td>
<td valign="middle"><span>Cash</span></td>
<td valign="middle"><span>111</span></td>
</tr>
<tr>
<td valign="middle"><span>$250,000-$299,999</span></td>
<td valign="middle"><span>6</span></td>
<td valign="middle"><span>44</span></td>
<td valign="middle"><span>32</span></td>
<td valign="middle"><span>20</span></td>
<td valign="middle"><span>332</span></td>
<td valign="middle"><span>158</span></td>
<td valign="middle"><span>Owner Finance</span></td>
<td valign="middle"><span>0</span></td>
</tr>
<tr>
<td valign="middle"><span>$300,000-$399,999</span></td>
<td valign="middle"><span>5</span></td>
<td valign="middle"><span>69</span></td>
<td valign="middle"><span>74</span></td>
<td valign="middle"><span>38</span></td>
<td valign="middle"><span>579</span></td>
<td valign="middle"><span>172</span></td>
<td valign="middle"><span>All Other</span></td>
<td valign="middle"><span>8</span></td>
</tr>
<tr>
<td valign="middle"><span>$400,000-$499,999</span></td>
<td valign="middle"><span>3</span></td>
<td valign="middle"><span>29</span></td>
<td valign="middle"><span>67</span></td>
<td valign="middle"><span>15</span></td>
<td valign="middle"><span>397</span></td>
<td valign="middle"><span>54</span></td>
<td valign="middle"><span>Unreported</span></td>
<td valign="middle"><span>0</span></td>
</tr>
<tr>
<td valign="middle"><span>Over $500,000</span></td>
<td valign="middle"><span>3</span></td>
<td valign="middle"><span>39</span></td>
<td valign="middle"><span>193</span></td>
<td valign="middle"><span>12</span></td>
<td valign="middle"><span>1294</span></td>
<td valign="middle"><span>97</span></td>
<td valign="middle"><span>Total</span></td>
<td valign="middle"><span>942</span></td>
</tr>
<tr>
<td valign="middle"><span>Totals</span></td>
<td valign="middle"><span>35</span></td>
<td valign="middle"><span>290</span></td>
<td valign="middle"><span>393</span></td>
<td valign="middle"><span>224</span></td>
<td valign="middle"><span>3208</span></td>
<td valign="middle"><span>1201</span></td>
<td valign="middle"> </td>
<td valign="middle"> </td>
</tr>
<tr>
<td><span>Grand Totals</span></td>
<td colspan="4" align="center"><span>942</span></td>
<td colspan="2" align="center"><span>4409</span></td>
</tr>
</tbody>
</table>
<table border="1" width="100%">
<tbody>
<tr>
<td>
<table border="0">
<tbody>
<tr>
<th> </th>
<th align="right">  <span style="text-decoration: underline;"><span>2009</span></span></th>
<th align="right">  <span style="text-decoration: underline;"><span>2008</span></span></th>
<th align="right">  <span style="text-decoration: underline;"><span>% Change</span></span></th>
</tr>
<tr>
<td align="right"><strong><span>Total Sold Dollar Volume:</span></strong></td>
<td align="right"><span>$ 402,644,818</span></td>
<td align="right"><span>$ 323,558,047</span></td>
<td align="right"><span>24.44 %</span></td>
</tr>
<tr>
<td align="right"><strong><span>Average Sold Price:</span></strong></td>
<td align="right"><span>$ 427,436</span></td>
<td align="right"><span>$ 477,224</span></td>
<td align="right"><span>- 10.43 %</span></td>
</tr>
<tr>
<td align="right"><strong><span>Median Sold Price:</span></strong></td>
<td align="right"><span>$ 330,000</span></td>
<td align="right"><span>$ 370,000</span></td>
<td align="right"><span>- 10.81 %</span></td>
</tr>
<tr>
<td align="right"><strong><span>Total Units Sold:</span></strong></td>
<td align="right"><span>942</span></td>
<td align="right"><span>678</span></td>
<td align="right"><span>38.94 %</span></td>
</tr>
<tr>
<td align="right"><strong><span>Average Days on Market:</span></strong></td>
<td align="right"><span>80</span></td>
<td align="right"><span>116</span></td>
<td align="right"><span>- 31.03 %</span></td>
</tr>
<tr>
<td align="right"><strong><span>Average List Price for Solds:</span></strong></td>
<td align="right"><span>$ 461,978</span></td>
<td align="right"><span>$ 523,261</span></td>
<td align="right"><span>- 11.71 %</span></td>
</tr>
<tr>
<td align="right"><strong><span>Avg Sale Price as a percentage of Avg List Price:</span></strong></td>
<td align="right"><span>92.52 %</span></td>
<td align="right"><span>91.20 %</span></td>
</tr>
</tbody>
</table>
</td>
<td>
<table border="0">
<tbody>
<tr>
<td align="right"><span><strong>Total Number of NEW listings</strong></span></td>
</tr>
<tr>
<td align="right"><strong><span>taken for the month: </span></strong></td>
<td><span>1373</span></td>
</tr>
<tr>
<td align="right"><span><strong>Total Number of Properties   </strong></span></td>
</tr>
<tr>
<td align="right"><strong><span>marked Contract for the month: </span></strong></td>
<td><span>576</span></td>
</tr>
<tr>
<td align="right"><span><strong>Total Number of Properties   </strong></span></td>
</tr>
<tr>
<td align="right"><strong><span>marked Contingent for the month: </span></strong></td>
<td><span style="text-decoration: underline;"><span>675</span> </span></td>
</tr>
<tr>
<td align="right"><span><strong>Total Number of NEW pendings        </strong></span></td>
</tr>
<tr>
<td align="right"><span><strong>(CONTRACTS + CONTINGENTS): </strong></span></td>
<td><span>1251</span></td>
</tr>
</tbody>
</table>
</td>
</tr>
</tbody>
</table>
<p>Source: Metropolitan Regional Information Systems, Inc. &#8211; MLS Resale Data<br />
<span>Copyright 2009 &#8211; Information deemed reliable, but is not guaranteed.</span></p>
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		<title>Howard and Montgomery County Real Estate &#8211; Behind the Numbers</title>
		<link>http://kittlemanrealtygroup.com/2009/10/howard-and-montgomery-county-real-estate-behind-the-numbers/</link>
		<comments>http://kittlemanrealtygroup.com/2009/10/howard-and-montgomery-county-real-estate-behind-the-numbers/#comments</comments>
		<pubDate>Fri, 16 Oct 2009 01:42:21 +0000</pubDate>
		<dc:creator>Tom Yeatts</dc:creator>
				<category><![CDATA[Howard County]]></category>
		<category><![CDATA[Market Research]]></category>
		<category><![CDATA[Montgomery County]]></category>

		<guid isPermaLink="false">http://kittlemanrealtygroup.com/?p=500</guid>
		<description><![CDATA[Crunching the numbers in Howard County and Montgomery County, Maryland!]]></description>
			<content:encoded><![CDATA[<p>The reports are in for HoCo and MoCo, and it&#8217;s always interesting to look at them individually, and then see how they compare.  Here&#8217;s the important stuff:</p>
<p>Montgomery is still taking a harder hit than its neighbor to the north, with a larger decline in median sale price (5.7 percent, compared to 1.4% for HoCo).  But some people clearly think there are some deals in Montgomery, with volume picking up by a solid 11.9% over this time last year.  By comparison, Howard&#8217;s sales volume is up only 2 percent.</p>
<p>Days on market are down across the board, with Montgomery showing the biggest decline in DOM (a 17% drop in days on market to an average of 83).</p>
<p>Howard is getting a bit closer to asking price at the time of sale, 93.3% to Montgomery&#8217;s 91.5%.  This is consistent with the increase in volume; it appears that more sellers are making a deal in MoCo, and in this market, that means accepting a slightly lower price.</p>
<p>It&#8217;s still a buyer&#8217;s market out there, unless you&#8217;re a first time homebuyer looking at homes under $300,000.  With the $8,000 Federal Tax Credit, we&#8217;re seeing a spike in sales activity and many multiple offer situations in that price range.  Time is running out, so if you&#8217;re looking to score that tax credit, you should already be out house shopping!</p>
<p>Here are the actual numbers:</p>
<h2>Howard County</h2>
<p>Avg Sold Price &#8211; $389,375 &#8211; down 9.83%<br />
Median Sold Price &#8211; $350,000 &#8211; down 1.41%<br />
246 units sold &#8211; up slightly over last September, by 2%<br />
Days on market &#8211; down 10% to 90 days average<br />
Sellers are getting, on average, 93.3%, up from 91.9% of list price last September. over one full percent better.</p>
<h2>Montgomery County</h2>
<p>Avg Sold Price &#8211; $412,795 &#8211; down 9.88%<br />
Median Sold Price &#8211; $330,000 &#8211; down 5.71%<br />
859 units sold &#8211; way up from last September, by a solid 11.9%<br />
Days on market &#8211; down 17% to 83 days average<br />
Sellers are getting, on average, 91.5%, of list price, about the same as last September&#8217;s number of 91.3% of list.</p>
<p> </p>
<p><a href="http://kittlemanrealtygroup.com/wp-content/uploads/2009/04/laura-signature-laura-small.jpg"><img class="alignleft size-full wp-image-194" title="Laura signature" src="http://kittlemanrealtygroup.com/wp-content/uploads/2009/04/laura-signature-laura-small.jpg" alt="Laura signature" width="80" height="59" /></a></p>
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		<title>Montgomery County Real Estate Statistics, September 2009</title>
		<link>http://kittlemanrealtygroup.com/2009/10/montgomery-county-real-estate-statistics-september-2009/</link>
		<comments>http://kittlemanrealtygroup.com/2009/10/montgomery-county-real-estate-statistics-september-2009/#comments</comments>
		<pubDate>Tue, 13 Oct 2009 17:51:39 +0000</pubDate>
		<dc:creator>Tom Yeatts</dc:creator>
				<category><![CDATA[Market Research]]></category>
		<category><![CDATA[Montgomery County]]></category>

		<guid isPermaLink="false">http://kittlemanrealtygroup.com/?p=495</guid>
		<description><![CDATA[This is the raw data.]]></description>
			<content:encoded><![CDATA[<p><strong>Metropolitan Regional Information Systems, Inc.</strong>  <strong>Real Estate Trend Indicator &#8211; &lt;$30K to &gt;$500K Format</strong></p>
<p>Montgomery County, MD<br />
From: 09/01/2009 to 09/30/2009                Statistics generated on: 10/07/2009</p>
<table border="1" cellspacing="0" cellpadding="0" width="100%">
<tbody>
<tr>
<td valign="middle"> </td>
<td colspan="4" valign="middle"><strong><span>Residential<br />
Unit Sales<br />
Number of Bedrooms</span></strong></td>
<td colspan="2" valign="middle"><strong><span>Active Listings</span></strong></td>
<td rowspan="22" valign="middle" bgcolor="#000000"><span> </span></td>
<td colspan="2" valign="middle"><strong><span>Time on Market</span></strong></td>
</tr>
<tr>
<td align="center" valign="middle"><span>Price Class</span></td>
<td valign="middle"><span>2<br />
Or Less  </span></td>
<td valign="middle">
<span>3</span></td>
<td valign="middle"><span>4<br />
  or More  </span></td>
<td valign="middle"><span>Condo<br />
Coop and<br />
Ground Rent</span></td>
<td valign="middle"><span>Residential<br />
  </span></td>
<td valign="middle"><span>Condo<br />
Coop and<br />
Ground Rent</span></td>
<td colspan="2" valign="middle"><span>of Units Sold<br />
(No. of Units)</span></td>
</tr>
<tr>
<td valign="middle"><span>Under $30,000</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>1</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>1</span></td>
<td valign="middle"><span>1 -30 Days</span></td>
<td valign="middle"><span>371</span></td>
</tr>
<tr>
<td valign="middle"><span>$30,000-$39,000</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>31-60 Days</span></td>
<td valign="middle"><span>139</span></td>
</tr>
<tr>
<td valign="middle"><span>$40,000-$49,999</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>2</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>9</span></td>
<td valign="middle"><span>61 &#8211; 90 Days</span></td>
<td valign="middle"><span>99</span></td>
</tr>
<tr>
<td valign="middle"><span>$50,000-$59,999</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>1</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>7</span></td>
<td valign="middle"><span>91-120 Days</span></td>
<td valign="middle"><span>69</span></td>
</tr>
<tr>
<td valign="middle"><span>$60,000-$69,999</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>1</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>6</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>11</span></td>
<td valign="middle"><span>Over 120 Days</span></td>
<td valign="middle"><span>181</span></td>
</tr>
<tr>
<td valign="middle"><span>$70,000-$79,999</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>1</span></td>
<td valign="middle"><span>1</span></td>
<td valign="middle"><span>21</span></td>
<td valign="middle"><span>Total</span></td>
<td valign="middle"><span>859</span></td>
</tr>
<tr>
<td valign="middle"><span>$80,000-$89,999</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>4</span></td>
<td valign="middle"><span>1</span></td>
<td valign="middle"><span>35</span></td>
<td valign="middle"> </td>
<td valign="middle"> </td>
</tr>
<tr>
<td valign="middle"><span>$90,000-$99,999</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>4</span></td>
<td valign="middle"><span>6</span></td>
<td valign="middle"><span>29</span></td>
<td colspan="2" rowspan="2" valign="middle"><strong><span>Type of Financing<br />
of Units Sold<br />
(No. of Units)</span></strong></td>
</tr>
<tr>
<td valign="middle"><span>$100,000-$119,999</span></td>
<td valign="middle"><span>1</span></td>
<td valign="middle"><span>8</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>14</span></td>
<td valign="middle"><span>18</span></td>
<td valign="middle"><span>60</span></td>
</tr>
<tr>
<td valign="middle"><span>$120,000-$139,999</span></td>
<td valign="middle"><span>2</span></td>
<td valign="middle"><span>8</span></td>
<td valign="middle"><span>2</span></td>
<td valign="middle"><span>9</span></td>
<td valign="middle"><span>43</span></td>
<td valign="middle"><span>74</span></td>
<td valign="middle"><span>Conventional</span></td>
<td valign="middle"><span>404</span></td>
</tr>
<tr>
<td valign="middle"><span>$140,000-$159,999</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>6</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>16</span></td>
<td valign="middle"><span>60</span></td>
<td valign="middle"><span>89</span></td>
<td valign="middle"><span>FHA</span></td>
<td valign="middle"><span>284</span></td>
</tr>
<tr>
<td valign="middle"><span>$160,000-$179,999</span></td>
<td valign="middle"><span>2</span></td>
<td valign="middle"><span>14</span></td>
<td valign="middle"><span>3</span></td>
<td valign="middle"><span>11</span></td>
<td valign="middle"><span>94</span></td>
<td valign="middle"><span>93</span></td>
<td valign="middle"><span>VA</span></td>
<td valign="middle"><span>34</span></td>
</tr>
<tr>
<td valign="middle"><span>$180,000-$199,999</span></td>
<td valign="middle"><span>5</span></td>
<td valign="middle"><span>16</span></td>
<td valign="middle"><span>5</span></td>
<td valign="middle"><span>17</span></td>
<td valign="middle"><span>112</span></td>
<td valign="middle"><span>96</span></td>
<td valign="middle"><span>Assumption</span></td>
<td valign="middle"><span>29</span></td>
</tr>
<tr>
<td valign="middle"><span>$200,000-$249,999</span></td>
<td valign="middle"><span>6</span></td>
<td valign="middle"><span>41</span></td>
<td valign="middle"><span>27</span></td>
<td valign="middle"><span>29</span></td>
<td valign="middle"><span>272</span></td>
<td valign="middle"><span>194</span></td>
<td valign="middle"><span>Cash</span></td>
<td valign="middle"><span>103</span></td>
</tr>
<tr>
<td valign="middle"><span>$250,000-$299,999</span></td>
<td valign="middle"><span>2</span></td>
<td valign="middle"><span>50</span></td>
<td valign="middle"><span>25</span></td>
<td valign="middle"><span>25</span></td>
<td valign="middle"><span>337</span></td>
<td valign="middle"><span>154</span></td>
<td valign="middle"><span>Owner Finance</span></td>
<td valign="middle"><span>1</span></td>
</tr>
<tr>
<td valign="middle"><span>$300,000-$399,999</span></td>
<td valign="middle"><span>4</span></td>
<td valign="middle"><span>71</span></td>
<td valign="middle"><span>75</span></td>
<td valign="middle"><span>38</span></td>
<td valign="middle"><span>576</span></td>
<td valign="middle"><span>178</span></td>
<td valign="middle"><span>All Other</span></td>
<td valign="middle"><span>4</span></td>
</tr>
<tr>
<td valign="middle"><span>$400,000-$499,999</span></td>
<td valign="middle"><span>2</span></td>
<td valign="middle"><span>27</span></td>
<td valign="middle"><span>58</span></td>
<td valign="middle"><span>8</span></td>
<td valign="middle"><span>399</span></td>
<td valign="middle"><span>58</span></td>
<td valign="middle"><span>Unreported</span></td>
<td valign="middle"><span>0</span></td>
</tr>
<tr>
<td valign="middle"><span>Over $500,000</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>42</span></td>
<td valign="middle"><span>161</span></td>
<td valign="middle"><span>9</span></td>
<td valign="middle"><span>1333</span></td>
<td valign="middle"><span>91</span></td>
<td valign="middle"><span>Total</span></td>
<td valign="middle"><span>859</span></td>
</tr>
<tr>
<td valign="middle"><span>Totals</span></td>
<td valign="middle"><span>24</span></td>
<td valign="middle"><span>284</span></td>
<td valign="middle"><span>356</span></td>
<td valign="middle"><span>195</span></td>
<td valign="middle"><span>3252</span></td>
<td valign="middle"><span>1200</span></td>
<td valign="middle"> </td>
<td valign="middle"> </td>
</tr>
<tr>
<td><span>Grand Totals</span></td>
<td colspan="4" align="center"><span>859</span></td>
<td colspan="2" align="center"><span>4452</span></td>
</tr>
</tbody>
</table>
<table border="1" width="100%">
<tbody>
<tr>
<td>
<table border="0">
<tbody>
<tr>
<th> </th>
<th align="right">  <span style="text-decoration: underline;"><span>2009</span></span></th>
<th align="right">  <span style="text-decoration: underline;"><span>2008</span></span></th>
<th align="right">  <span style="text-decoration: underline;"><span>% Change</span></span></th>
</tr>
<tr>
<td align="right"><strong><span>Total Sold Dollar Volume:</span></strong></td>
<td align="right"><span>$ 354,591,269</span></td>
<td align="right"><span>$ 351,771,293</span></td>
<td align="right"><span>0.80 %</span></td>
</tr>
<tr>
<td align="right"><strong><span>Average Sold Price:</span></strong></td>
<td align="right"><span>$ 412,795</span></td>
<td align="right"><span>$ 458,036</span></td>
<td align="right"><span>- 9.88 %</span></td>
</tr>
<tr>
<td align="right"><strong><span>Median Sold Price:</span></strong></td>
<td align="right"><span>$ 330,000</span></td>
<td align="right"><span>$ 350,000</span></td>
<td align="right"><span>- 5.71 %</span></td>
</tr>
<tr>
<td align="right"><strong><span>Total Units Sold:</span></strong></td>
<td align="right"><span>859</span></td>
<td align="right"><span>768</span></td>
<td align="right"><span>11.85 %</span></td>
</tr>
<tr>
<td align="right"><strong><span>Average Days on Market:</span></strong></td>
<td align="right"><span>83</span></td>
<td align="right"><span>101</span></td>
<td align="right"><span>- 17.82 %</span></td>
</tr>
<tr>
<td align="right"><strong><span>Average List Price for Solds:</span></strong></td>
<td align="right"><span>$ 451,158</span></td>
<td align="right"><span>$ 501,629</span></td>
<td align="right"><span>- 10.06 %</span></td>
</tr>
<tr>
<td align="right"><strong><span>Avg Sale Price as a percentage of Avg List Price:</span></strong></td>
<td align="right"><span>91.50 %</span></td>
<td align="right"><span>91.31 %</span></td>
</tr>
</tbody>
</table>
</td>
<td>
<table border="0">
<tbody>
<tr>
<td align="right"><span><strong>Total Number of NEW listings</strong></span></td>
</tr>
<tr>
<td align="right"><strong><span>taken for the month: </span></strong></td>
<td><span>1442</span></td>
</tr>
<tr>
<td align="right">
<span><strong>Total Number of Properties   </strong></span></td>
</tr>
<tr>
<td align="right"><strong><span>marked Contract for the month: </span></strong></td>
<td><span>617</span></td>
</tr>
<tr>
<td align="right"><span><strong>Total Number of Properties   </strong></span></td>
</tr>
<tr>
<td align="right"><strong><span>marked Contingent for the month: </span></strong></td>
<td><span style="text-decoration: underline;"><span>549</span> </span></td>
</tr>
<tr>
<td align="right">
<span><strong>Total Number of NEW pendings        </strong></span></td>
</tr>
<tr>
<td align="right"><span><strong>(CONTRACTS + CONTINGENTS): </strong></span></td>
<td><span>1166</span></td>
</tr>
</tbody>
</table>
</td>
</tr>
</tbody>
</table>
<p>Source: Metropolitan Regional Information Systems, Inc. &#8211; MLS Resale Data<br />
<span>Copyright 2009 &#8211; Information deemed reliable, but is not guaranteed.</span></p>
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		<title>Googling for Foreclosures!</title>
		<link>http://kittlemanrealtygroup.com/2009/09/googling-for-foreclosures/</link>
		<comments>http://kittlemanrealtygroup.com/2009/09/googling-for-foreclosures/#comments</comments>
		<pubDate>Mon, 14 Sep 2009 21:31:42 +0000</pubDate>
		<dc:creator>Tom Yeatts</dc:creator>
				<category><![CDATA[For Buyers]]></category>
		<category><![CDATA[Foreclosure]]></category>
		<category><![CDATA[Howard County]]></category>
		<category><![CDATA[Market Research]]></category>
		<category><![CDATA[Montgomery County]]></category>
		<category><![CDATA[Resources]]></category>

		<guid isPermaLink="false">http://kittlemanrealtygroup.com/?p=478</guid>
		<description><![CDATA[Googling for real estate fun and profit!  Find nearly any foreclosure via Google, and then give us a call for a private showing.  What could be easier?]]></description>
			<content:encoded><![CDATA[<p>Ready to find that great deal for a new home or investment property?  <strong>Check this out!</strong></p>
<p>Go to the Google Maps page (<a title="Google Map Link - click here" href="http://www.Google.com/maps" target="_blank">www.Google.com/maps</a>) then type in a desired zip code or city into the search bar.</p>
<p>Use the drop-down to indicate the search is for “real estate” then click on “foreclosure” to filter the results. [If you don't see the drop-down, click "show search options" next to the "search maps" button at the top of the page.]</p>
<p>Not only will you have a list of foreclosures, photographs and a map to each property but it’s possible to take a virtual tour of the neighborhood for many areas.</p>
<p>Save gas, find that foreclosure property from the comfort of your living room couch.  Then call us at 301.785.5889 to arrange a private showing.</p>
<p>It&#8217;s as easy as point, click, and call!  We&#8217;re here to help!</p>
<p><a href="http://kittlemanrealtygroup.com/wp-content/uploads/2009/04/laura-signature-laura-small.jpg"><img class="alignleft size-full wp-image-194" title="Laura signature" src="http://kittlemanrealtygroup.com/wp-content/uploads/2009/04/laura-signature-laura-small.jpg" alt="Laura signature" width="80" height="59" /></a></p>
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		<title>Montgomery County Market Statistics: August 2009</title>
		<link>http://kittlemanrealtygroup.com/2009/09/montgomery-county-market-statistics-august-2009/</link>
		<comments>http://kittlemanrealtygroup.com/2009/09/montgomery-county-market-statistics-august-2009/#comments</comments>
		<pubDate>Fri, 11 Sep 2009 14:49:32 +0000</pubDate>
		<dc:creator>Tom Yeatts</dc:creator>
				<category><![CDATA[Market Research]]></category>
		<category><![CDATA[Montgomery County]]></category>

		<guid isPermaLink="false">http://kittlemanrealtygroup.com/?p=474</guid>
		<description><![CDATA[Montgomery County saw sales volume up 22.9% with the median sales price down 13%.  Could we be at the market's bottom?]]></description>
			<content:encoded><![CDATA[<p><strong>Metropolitan Regional Information Systems, Inc.</strong>  <strong>Real Estate Trend Indicator &#8211; &lt;$30K to &gt;$500K Format</strong></p>
<p>Montgomery County, MD<br />
From: 08/01/2009 to 08/31/2009                Statistics generated on: 09/09/2009</p>
<table border="1" cellspacing="0" cellpadding="0" width="100%">
<tbody>
<tr>
<td valign="middle"> </td>
<td colspan="4" valign="middle"><strong><span>Residential<br />
Unit Sales<br />
Number of Bedrooms</span></strong></td>
<td colspan="2" valign="middle"><strong><span>Active Listings</span></strong></td>
<td rowspan="22" valign="middle" bgcolor="#000000"><span> </span></td>
<td colspan="2" valign="middle"><strong><span>Time on Market</span></strong></td>
</tr>
<tr>
<td align="center" valign="middle"><span>Price Class</span></td>
<td valign="middle"><span>2<br />
Or Less  </span></td>
<td valign="middle">
<span>3</span></td>
<td valign="middle"><span>4<br />
  or More  </span></td>
<td valign="middle"><span>Condo<br />
Coop and<br />
Ground Rent</span></td>
<td valign="middle"><span>Residential<br />
  </span></td>
<td valign="middle"><span>Condo<br />
Coop and<br />
Ground Rent</span></td>
<td colspan="2" valign="middle"><span>of Units Sold<br />
(No. of Units)</span></td>
</tr>
<tr>
<td valign="middle"><span>Under $30,000</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>1</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>4</span></td>
<td valign="middle"><span>1 -30 Days</span></td>
<td valign="middle"><span>405</span></td>
</tr>
<tr>
<td valign="middle"><span>$30,000-$39,000</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>1</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>31-60 Days</span></td>
<td valign="middle"><span>181</span></td>
</tr>
<tr>
<td valign="middle"><span>$40,000-$49,999</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>2</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>11</span></td>
<td valign="middle"><span>61 &#8211; 90 Days</span></td>
<td valign="middle"><span>119</span></td>
</tr>
<tr>
<td valign="middle"><span>$50,000-$59,999</span></td>
<td valign="middle"><span>1</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>3</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>7</span></td>
<td valign="middle"><span>91-120 Days</span></td>
<td valign="middle"><span>52</span></td>
</tr>
<tr>
<td valign="middle"><span>$60,000-$69,999</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>3</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>15</span></td>
<td valign="middle"><span>Over 120 Days</span></td>
<td valign="middle"><span>210</span></td>
</tr>
<tr>
<td valign="middle"><span>$70,000-$79,999</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>5</span></td>
<td valign="middle"><span>1</span></td>
<td valign="middle"><span>19</span></td>
<td valign="middle"><span>Total</span></td>
<td valign="middle"><span>967</span></td>
</tr>
<tr>
<td valign="middle"><span>$80,000-$89,999</span></td>
<td valign="middle"><span>2</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>4</span></td>
<td valign="middle"><span>3</span></td>
<td valign="middle"><span>29</span></td>
<td valign="middle"> </td>
<td valign="middle"> </td>
</tr>
<tr>
<td valign="middle"><span>$90,000-$99,999</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>8</span></td>
<td valign="middle"><span>7</span></td>
<td valign="middle"><span>27</span></td>
<td colspan="2" rowspan="2" valign="middle"><strong><span>Type of Financing<br />
of Units Sold<br />
(No. of Units)</span></strong></td>
</tr>
<tr>
<td valign="middle"><span>$100,000-$119,999</span></td>
<td valign="middle"><span>1</span></td>
<td valign="middle"><span>3</span></td>
<td valign="middle"><span>2</span></td>
<td valign="middle"><span>16</span></td>
<td valign="middle"><span>23</span></td>
<td valign="middle"><span>64</span></td>
</tr>
<tr>
<td valign="middle"><span>$120,000-$139,999</span></td>
<td valign="middle"><span>2</span></td>
<td valign="middle"><span>6</span></td>
<td valign="middle"><span>2</span></td>
<td valign="middle"><span>11</span></td>
<td valign="middle"><span>46</span></td>
<td valign="middle"><span>77</span></td>
<td valign="middle"><span>Conventional</span></td>
<td valign="middle"><span>464</span></td>
</tr>
<tr>
<td valign="middle"><span>$140,000-$159,999</span></td>
<td valign="middle"><span>2</span></td>
<td valign="middle"><span>7</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>13</span></td>
<td valign="middle"><span>62</span></td>
<td valign="middle"><span>98</span></td>
<td valign="middle"><span>FHA</span></td>
<td valign="middle"><span>324</span></td>
</tr>
<tr>
<td valign="middle"><span>$160,000-$179,999</span></td>
<td valign="middle"><span>3</span></td>
<td valign="middle"><span>16</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>18</span></td>
<td valign="middle"><span>93</span></td>
<td valign="middle"><span>90</span></td>
<td valign="middle"><span>VA</span></td>
<td valign="middle"><span>36</span></td>
</tr>
<tr>
<td valign="middle"><span>$180,000-$199,999</span></td>
<td valign="middle"><span>4</span></td>
<td valign="middle"><span>17</span></td>
<td valign="middle"><span>3</span></td>
<td valign="middle"><span>17</span></td>
<td valign="middle"><span>113</span></td>
<td valign="middle"><span>95</span></td>
<td valign="middle"><span>Assumption</span></td>
<td valign="middle"><span>22</span></td>
</tr>
<tr>
<td valign="middle"><span>$200,000-$249,999</span></td>
<td valign="middle"><span>5</span></td>
<td valign="middle"><span>40</span></td>
<td valign="middle"><span>24</span></td>
<td valign="middle"><span>37</span></td>
<td valign="middle"><span>277</span></td>
<td valign="middle"><span>187</span></td>
<td valign="middle"><span>Cash</span></td>
<td valign="middle"><span>113</span></td>
</tr>
<tr>
<td valign="middle"><span>$250,000-$299,999</span></td>
<td valign="middle"><span>5</span></td>
<td valign="middle"><span>41</span></td>
<td valign="middle"><span>36</span></td>
<td valign="middle"><span>20</span></td>
<td valign="middle"><span>339</span></td>
<td valign="middle"><span>148</span></td>
<td valign="middle"><span>Owner Finance</span></td>
<td valign="middle"><span>0</span></td>
</tr>
<tr>
<td valign="middle"><span>$300,000-$399,999</span></td>
<td valign="middle"><span>5</span></td>
<td valign="middle"><span>70</span></td>
<td valign="middle"><span>73</span></td>
<td valign="middle"><span>29</span></td>
<td valign="middle"><span>596</span></td>
<td valign="middle"><span>162</span></td>
<td valign="middle"><span>All Other</span></td>
<td valign="middle"><span>8</span></td>
</tr>
<tr>
<td valign="middle"><span>$400,000-$499,999</span></td>
<td valign="middle"><span>2</span></td>
<td valign="middle"><span>31</span></td>
<td valign="middle"><span>64</span></td>
<td valign="middle"><span>2</span></td>
<td valign="middle"><span>414</span></td>
<td valign="middle"><span>56</span></td>
<td valign="middle"><span>Unreported</span></td>
<td valign="middle"><span>0</span></td>
</tr>
<tr>
<td valign="middle"><span>Over $500,000</span></td>
<td valign="middle"><span>6</span></td>
<td valign="middle"><span>66</span></td>
<td valign="middle"><span>230</span></td>
<td valign="middle"><span>8</span></td>
<td valign="middle"><span>1323</span></td>
<td valign="middle"><span>92</span></td>
<td valign="middle"><span>Total</span></td>
<td valign="middle"><span>967</span></td>
</tr>
<tr>
<td valign="middle"><span>Totals</span></td>
<td valign="middle"><span>38</span></td>
<td valign="middle"><span>297</span></td>
<td valign="middle"><span>434</span></td>
<td valign="middle"><span>198</span></td>
<td valign="middle"><span>3297</span></td>
<td valign="middle"><span>1181</span></td>
<td valign="middle"> </td>
<td valign="middle"> </td>
</tr>
<tr>
<td><span>Grand Totals</span></td>
<td colspan="4" align="center"><span>967</span></td>
<td colspan="2" align="center"><span>4478</span></td>
</tr>
</tbody>
</table>
<table border="1" width="100%">
<tbody>
<tr>
<td>
<table border="0">
<tbody>
<tr>
<th> </th>
<th align="right">  <span style="text-decoration: underline;"><span>2009</span></span></th>
<th align="right">  <span style="text-decoration: underline;"><span>2008</span></span></th>
<th align="right">  <span style="text-decoration: underline;"><span>% Change</span></span></th>
</tr>
<tr>
<td align="right"><strong><span>Total Sold Dollar Volume:</span></strong></td>
<td align="right"><span>$ 441,783,435</span></td>
<td align="right"><span>$ 402,152,285</span></td>
<td align="right"><span>9.85 %</span></td>
</tr>
<tr>
<td align="right"><strong><span>Average Sold Price:</span></strong></td>
<td align="right"><span>$ 456,860</span></td>
<td align="right"><span>$ 510,994</span></td>
<td align="right"><span>- 10.59 %</span></td>
</tr>
<tr>
<td align="right"><strong><span>Median Sold Price:</span></strong></td>
<td align="right"><span>$ 355,000</span></td>
<td align="right"><span>$ 408,000</span></td>
<td align="right"><span>- 12.99 %</span></td>
</tr>
<tr>
<td align="right"><strong><span>Total Units Sold:</span></strong></td>
<td align="right"><span>967</span></td>
<td align="right"><span>787</span></td>
<td align="right"><span>22.87 %</span></td>
</tr>
<tr>
<td align="right"><strong><span>Average Days on Market:</span></strong></td>
<td align="right"><span>85</span></td>
<td align="right"><span>99</span></td>
<td align="right"><span>- 14.14 %</span></td>
</tr>
<tr>
<td align="right"><strong><span>Average List Price for Solds:</span></strong></td>
<td align="right"><span>$ 499,774</span></td>
<td align="right"><span>$ 560,160</span></td>
<td align="right"><span>- 10.78 %</span></td>
</tr>
<tr>
<td align="right"><strong><span>Avg Sale Price as a percentage of Avg List Price:</span></strong></td>
<td align="right"><span>91.41 %</span></td>
<td align="right"><span>91.22 %</span></td>
</tr>
</tbody>
</table>
</td>
<td>
<table border="0">
<tbody>
<tr>
<td align="right"><span><strong>Total Number of NEW listings</strong></span></td>
</tr>
<tr>
<td align="right"><strong><span>taken for the month: </span></strong></td>
<td><span>1240</span></td>
</tr>
<tr>
<td align="right">
<span><strong>Total Number of Properties   </strong></span></td>
</tr>
<tr>
<td align="right"><strong><span>marked Contract for the month: </span></strong></td>
<td><span>590</span></td>
</tr>
<tr>
<td align="right"><span><strong>Total Number of Properties   </strong></span></td>
</tr>
<tr>
<td align="right"><strong><span>marked Contingent for the month: </span></strong></td>
<td><span style="text-decoration: underline;"><span>574</span> </span></td>
</tr>
<tr>
<td align="right">
<span><strong>Total Number of NEW pendings        </strong></span></td>
</tr>
<tr>
<td align="right"><span><strong>(CONTRACTS + CONTINGENTS): </strong></span></td>
<td><span>1164</span></td>
</tr>
</tbody>
</table>
</td>
</tr>
</tbody>
</table>
<p>Source: Metropolitan Regional Information Systems, Inc. &#8211; MLS Resale Data<br />
<span>Copyright 2009 &#8211; Information deemed reliable, but is not guaranteed.</span></p>
]]></content:encoded>
			<wfw:commentRss>http://kittlemanrealtygroup.com/2009/09/montgomery-county-market-statistics-august-2009/feed/</wfw:commentRss>
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		</item>
		<item>
		<title>Montgomery County Market Statistics &#8211; July 2009</title>
		<link>http://kittlemanrealtygroup.com/2009/08/montgomery-county-market-statistics-july-2009/</link>
		<comments>http://kittlemanrealtygroup.com/2009/08/montgomery-county-market-statistics-july-2009/#comments</comments>
		<pubDate>Mon, 17 Aug 2009 01:03:21 +0000</pubDate>
		<dc:creator>Tom Yeatts</dc:creator>
				<category><![CDATA[Market Research]]></category>
		<category><![CDATA[Montgomery County]]></category>

		<guid isPermaLink="false">http://kittlemanrealtygroup.com/?p=436</guid>
		<description><![CDATA[Volume up, sale price down.  Average sold price down 13.54% from last year.  Inventory is down a bit, but the effect could be mostly explained by seasonality.]]></description>
			<content:encoded><![CDATA[<p><strong>Metropolitan Regional Information Systems, Inc.</strong>  <strong>Real Estate Trend Indicator &#8211; &lt;$30K to &gt;$500K Format</strong></p>
<p>Montgomery County, MD<br />
From: 07/01/2009 to 07/31/2009                Statistics generated on: 08/06/2009</p>
<table border="1" cellspacing="0" cellpadding="0" width="100%">
<tbody>
<tr>
<td valign="middle"> </td>
<td colspan="4" valign="middle"><strong><span>Residential<br />
Unit Sales<br />
Number of Bedrooms</span></strong></td>
<td colspan="2" valign="middle"><strong><span>Active Listings</span></strong></td>
<td rowspan="22" valign="middle" bgcolor="#000000"><span> </span></td>
<td colspan="2" valign="middle"><strong><span>Time on Market</span></strong></td>
</tr>
<tr>
<td align="center" valign="middle"><span>Price Class</span></td>
<td valign="middle"><span>2<br />
Or Less  </span></td>
<td valign="middle">
<span>3</span></td>
<td valign="middle"><span>4<br />
  or More  </span></td>
<td valign="middle"><span>Condo<br />
Coop and<br />
Ground Rent</span></td>
<td valign="middle"><span>Residential<br />
  </span></td>
<td valign="middle"><span>Condo<br />
Coop and<br />
Ground Rent</span></td>
<td colspan="2" valign="middle"><span>of Units Sold<br />
(No. of Units)</span></td>
</tr>
<tr>
<td valign="middle"><span>Under $30,000</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>1</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>4</span></td>
<td valign="middle"><span>1 -30 Days</span></td>
<td valign="middle"><span>496</span></td>
</tr>
<tr>
<td valign="middle"><span>$30,000-$39,000</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>1</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>31-60 Days</span></td>
<td valign="middle"><span>167</span></td>
</tr>
<tr>
<td valign="middle"><span>$40,000-$49,999</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>1</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>9</span></td>
<td valign="middle"><span>61 &#8211; 90 Days</span></td>
<td valign="middle"><span>123</span></td>
</tr>
<tr>
<td valign="middle"><span>$50,000-$59,999</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>3</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>8</span></td>
<td valign="middle"><span>91-120 Days</span></td>
<td valign="middle"><span>72</span></td>
</tr>
<tr>
<td valign="middle"><span>$60,000-$69,999</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>3</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>13</span></td>
<td valign="middle"><span>Over 120 Days</span></td>
<td valign="middle"><span>272</span></td>
</tr>
<tr>
<td valign="middle"><span>$70,000-$79,999</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>6</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>22</span></td>
<td valign="middle"><span>Total</span></td>
<td valign="middle"><span>1130</span></td>
</tr>
<tr>
<td valign="middle"><span>$80,000-$89,999</span></td>
<td valign="middle"><span>1</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>4</span></td>
<td valign="middle"><span>2</span></td>
<td valign="middle"><span>28</span></td>
<td valign="middle"> </td>
<td valign="middle"> </td>
</tr>
<tr>
<td valign="middle"><span>$90,000-$99,999</span></td>
<td valign="middle"><span>2</span></td>
<td valign="middle"><span>1</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>7</span></td>
<td valign="middle"><span>8</span></td>
<td valign="middle"><span>34</span></td>
<td colspan="2" rowspan="2" valign="middle"><strong><span>Type of Financing<br />
of Units Sold<br />
(No. of Units)</span></strong></td>
</tr>
<tr>
<td valign="middle"><span>$100,000-$119,999</span></td>
<td valign="middle"><span>2</span></td>
<td valign="middle"><span>2</span></td>
<td valign="middle"><span>2</span></td>
<td valign="middle"><span>10</span></td>
<td valign="middle"><span>18</span></td>
<td valign="middle"><span>73</span></td>
</tr>
<tr>
<td valign="middle"><span>$120,000-$139,999</span></td>
<td valign="middle"><span>1</span></td>
<td valign="middle"><span>9</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>4</span></td>
<td valign="middle"><span>54</span></td>
<td valign="middle"><span>96</span></td>
<td valign="middle"><span>Conventional</span></td>
<td valign="middle"><span>565</span></td>
</tr>
<tr>
<td valign="middle"><span>$140,000-$159,999</span></td>
<td valign="middle"><span>4</span></td>
<td valign="middle"><span>19</span></td>
<td valign="middle"><span>0</span></td>
<td valign="middle"><span>16</span></td>
<td valign="middle"><span>58</span></td>
<td valign="middle"><span>101</span></td>
<td valign="middle"><span>FHA</span></td>
<td valign="middle"><span>359</span></td>
</tr>
<tr>
<td valign="middle"><span>$160,000-$179,999</span></td>
<td valign="middle"><span>2</span></td>
<td valign="middle"><span>8</span></td>
<td valign="middle"><span>2</span></td>
<td valign="middle"><span>13</span></td>
<td valign="middle"><span>96</span></td>
<td valign="middle"><span>109</span></td>
<td valign="middle"><span>VA</span></td>
<td valign="middle"><span>36</span></td>
</tr>
<tr>
<td valign="middle"><span>$180,000-$199,999</span></td>
<td valign="middle"><span>2</span></td>
<td valign="middle"><span>18</span></td>
<td valign="middle"><span>13</span></td>
<td valign="middle"><span>18</span></td>
<td valign="middle"><span>121</span></td>
<td valign="middle"><span>102</span></td>
<td valign="middle"><span>Assumption</span></td>
<td valign="middle"><span>43</span></td>
</tr>
<tr>
<td valign="middle"><span>$200,000-$249,999</span></td>
<td valign="middle"><span>5</span></td>
<td valign="middle"><span>64</span></td>
<td valign="middle"><span>28</span></td>
<td valign="middle"><span>23</span></td>
<td valign="middle"><span>292</span></td>
<td valign="middle"><span>206</span></td>
<td valign="middle"><span>Cash</span></td>
<td valign="middle"><span>116</span></td>
</tr>
<tr>
<td valign="middle"><span>$250,000-$299,999</span></td>
<td valign="middle"><span>4</span></td>
<td valign="middle"><span>48</span></td>
<td valign="middle"><span>30</span></td>
<td valign="middle"><span>21</span></td>
<td valign="middle"><span>374</span></td>
<td valign="middle"><span>158</span></td>
<td valign="middle"><span>Owner Finance</span></td>
<td valign="middle"><span>0</span></td>
</tr>
<tr>
<td valign="middle"><span>$300,000-$399,999</span></td>
<td valign="middle"><span>3</span></td>
<td valign="middle"><span>86</span></td>
<td valign="middle"><span>96</span></td>
<td valign="middle"><span>38</span></td>
<td valign="middle"><span>601</span></td>
<td valign="middle"><span>172</span></td>
<td valign="middle"><span>All Other</span></td>
<td valign="middle"><span>11</span></td>
</tr>
<tr>
<td valign="middle"><span>$400,000-$499,999</span></td>
<td valign="middle"><span>3</span></td>
<td valign="middle"><span>43</span></td>
<td valign="middle"><span>91</span></td>
<td valign="middle"><span>11</span></td>
<td valign="middle"><span>437</span></td>
<td valign="middle"><span>60</span></td>
<td valign="middle"><span>Unreported</span></td>
<td valign="middle"><span>0</span></td>
</tr>
<tr>
<td valign="middle"><span>Over $500,000</span></td>
<td valign="middle"><span>4</span></td>
<td valign="middle"><span>64</span></td>
<td valign="middle"><span>278</span></td>
<td valign="middle"><span>15</span></td>
<td valign="middle"><span>1507</span></td>
<td valign="middle"><span>92</span></td>
<td valign="middle"><span>Total</span></td>
<td valign="middle"><span>1130</span></td>
</tr>
<tr>
<td valign="middle"><span>Totals</span></td>
<td valign="middle"><span>33</span></td>
<td valign="middle"><span>362</span></td>
<td valign="middle"><span>540</span></td>
<td valign="middle"><span>195</span></td>
<td valign="middle"><span>3568</span></td>
<td valign="middle"><span>1287</span></td>
<td valign="middle"> </td>
<td valign="middle"> </td>
</tr>
<tr>
<td><span>Grand Totals</span></td>
<td colspan="4" align="center"><span>1130</span></td>
<td colspan="2" align="center"><span>4855</span></td>
</tr>
</tbody>
</table>
<table border="1" width="100%">
<tbody>
<tr>
<td>
<table border="0">
<tbody>
<tr>
<th> </th>
<th align="right">  <span style="text-decoration: underline;"><span>2009</span></span></th>
<th align="right">  <span style="text-decoration: underline;"><span>2008</span></span></th>
<th align="right">  <span style="text-decoration: underline;"><span>% Change</span></span></th>
</tr>
<tr>
<td align="right"><strong><span>Total Sold Dollar Volume:</span></strong></td>
<td align="right"><span>$ 518,961,309</span></td>
<td align="right"><span>$ 460,552,815</span></td>
<td align="right"><span>12.68 %</span></td>
</tr>
<tr>
<td align="right"><strong><span>Average Sold Price:</span></strong></td>
<td align="right"><span>$ 459,258</span></td>
<td align="right"><span>$ 531,203</span></td>
<td align="right"><span>- 13.54 %</span></td>
</tr>
<tr>
<td align="right"><strong><span>Median Sold Price:</span></strong></td>
<td align="right"><span>$ 375,000</span></td>
<td align="right"><span>$ 408,000</span></td>
<td align="right"><span>- 8.09 %</span></td>
</tr>
<tr>
<td align="right"><strong><span>Total Units Sold:</span></strong></td>
<td align="right"><span>1,130</span></td>
<td align="right"><span>867</span></td>
<td align="right"><span>30.33 %</span></td>
</tr>
<tr>
<td align="right"><strong><span>Average Days on Market:</span></strong></td>
<td align="right"><span>93</span></td>
<td align="right"><span>92</span></td>
<td align="right"><span>1.09 %</span></td>
</tr>
<tr>
<td align="right"><strong><span>Average List Price for Solds:</span></strong></td>
<td align="right"><span>$ 496,775</span></td>
<td align="right"><span>$ 579,936</span></td>
<td align="right"><span>- 14.34 %</span></td>
</tr>
<tr>
<td align="right"><strong><span>Avg Sale Price as a percentage of Avg List Price:</span></strong></td>
<td align="right"><span>92.45 %</span></td>
<td align="right"><span>91.60 %</span></td>
</tr>
</tbody>
</table>
</td>
<td>
<table border="0">
<tbody>
<tr>
<td align="right"><span><strong>Total Number of NEW listings</strong></span></td>
</tr>
<tr>
<td align="right"><strong><span>taken for the month: </span></strong></td>
<td><span>1361</span></td>
</tr>
<tr>
<td align="right">
<span><strong>Total Number of Properties   </strong></span></td>
</tr>
<tr>
<td align="right"><strong><span>marked Contract for the month: </span></strong></td>
<td><span>621</span></td>
</tr>
<tr>
<td align="right"><span><strong>Total Number of Properties   </strong></span></td>
</tr>
<tr>
<td align="right"><strong><span>marked Contingent for the month: </span></strong></td>
<td><span style="text-decoration: underline;"><span>681</span> </span></td>
</tr>
<tr>
<td align="right">
<span><strong>Total Number of NEW pendings        </strong></span></td>
</tr>
<tr>
<td align="right"><span><strong>(CONTRACTS + CONTINGENTS): </strong></span></td>
<td><span>1302</span></td>
</tr>
</tbody>
</table>
</td>
</tr>
</tbody>
</table>
<p>Source: Metropolitan Regional Information Systems, Inc. &#8211; MLS Resale Data<br />
<span>Copyright 2009 &#8211; Information deemed reliable, but is not guaranteed.</span></p>
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