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	<title>My Wisconsin Real Estate Blog &#187; Market updates</title>
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	<description>Your Local Home Team-First Weber Realtors</description>
	<lastBuildDate>Sat, 05 Mar 2011 17:13:41 +0000</lastBuildDate>
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		<title>Jefferson County February 2011 Sales</title>
		<link>http://www.mywisconsinrealestateblog.com/2011/03/05/jefferson-county-february-2011-sales/</link>
		<comments>http://www.mywisconsinrealestateblog.com/2011/03/05/jefferson-county-february-2011-sales/#comments</comments>
		<pubDate>Sat, 05 Mar 2011 17:13:41 +0000</pubDate>
		<dc:creator>bradkoenig</dc:creator>
				<category><![CDATA[2011 Sales Data]]></category>

		<guid isPermaLink="false">http://www.mywisconsinrealestateblog.com/?p=420</guid>
		<description><![CDATA[  Many of you ask us “What is going on in my local housing market See blog post  http://mywisconsinrealestateblog.com.previewdns.com/2009/10/20/pricing-your-home-in-todays-market/  If you are curious on the value of your home visit www.YourLocalHomeValue.com Here is are numbers for Jefferson County Jefferson County Original Price List Price Sale Price CDOM Price Chg % Price Chg This Search (21 Matches) Average [...]]]></description>
			<content:encoded><![CDATA[<p></p><p> </p>
<p>Many of you ask us “What is going on in my local housing market</p>
<p>See blog post<br />
 <a href="http://mywisconsinrealestateblog.com.previewdns.com/2009/10/20/pricing-your-home-in-todays-market/" target="_blank">http://mywisconsinrealestateblog.com.previewdns.com/2009/10/20/pricing-your-home-in-todays-market/</a></p>
<p> If you are curious on the value of your home visit<br />
<a href="http://www.yourlocalhomevalue.com/" target="_blank"><br />
www.YourLocalHomeValue.com</a></p>
<p>Here is are numbers for Jefferson County</p>
<div>
<table border="0" cellspacing="0" cellpadding="2" width="658" bordercolor="#111111">
<tbody>
<tr>
<td width="323">Jefferson County</td>
<td width="211">Original Price</td>
<td width="146">List Price</td>
<td width="148">Sale Price</td>
<td width="119">CDOM</td>
<td width="147">Price Chg</td>
<td width="56">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="1180">This Search (21 Matches)</td>
</tr>
<tr>
<td width="323">Average</td>
<td id="avgOLP" width="211">$146,310</td>
<td id="avgLP" width="146">$133,762</td>
<td id="avgSP" width="148">$124,431</td>
<td id="avgDom" width="119">157</td>
<td id="avgPCh" width="147"><span style="color: #ff0000;">$-18,821</span></td>
<td id="avgPChPct" width="56"><span style="color: #ff0000;">-14.78%</span></td>
</tr>
<tr>
<td width="323">Median</td>
<td id="medOLP" width="211">$142,900</td>
<td id="medLP" width="146">$129,900</td>
<td id="medSP" width="148">$125,000</td>
<td id="medDom" width="119">140</td>
<td id="medPCh" width="147"><span style="color: #ff0000;">$-15,100</span></td>
<td id="medPChPct" width="56"><span style="color: #ff0000;">-13.36%</span></td>
</tr>
<tr>
<td width="323">Low</td>
<td id="lowOLP" width="211">$40,000</td>
<td id="lowLP" width="146">$40,000</td>
<td id="lowSP" width="148">$35,000</td>
<td id="lowDom" width="119">24</td>
<td id="lowPCh" width="147"><span style="color: #ff0000;">$-54,000</span></td>
<td id="lowPChPct" width="56"><span style="color: #ff0000;">-35.97%</span></td>
</tr>
<tr>
<td width="323">High</td>
<td id="hiOLP" width="211">$349,000</td>
<td id="hiLP" width="146">$295,000</td>
<td id="hiSP" width="148">$275,000</td>
<td id="hiDom" width="119">328</td>
<td id="hiPCh" width="147"><span style="color: #ff0000;">$-3,000</span></td>
<td id="hiPChPct" width="56"><span style="color: #ff0000;">-1.06%</span></td>
</tr>
<tr>
<td width="305">Number of listings</td>
<td width="211">21 w/Orig. Pr.</td>
<td id="ctLP" width="146">21</td>
<td width="148">21 sold</td>
<td id="ctDom" width="119">21</td>
</tr>
</tbody>
</table>
</div>
<h4>Incoming search terms for the article:</h4><ul><li><a href="http://www.mywisconsinrealestateblog.com/2011/03/05/jefferson-county-february-2011-sales/" title="homes sold in jefferson county wi in december 2011">homes sold in jefferson county wi in december 2011</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/03/05/jefferson-county-february-2011-sales/" title="real estate sales data in jefferson county wi">real estate sales data in jefferson county wi</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/03/05/jefferson-county-february-2011-sales/" title="jefferson county wisconsin real estate sales">jefferson county wisconsin real estate sales</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/03/05/jefferson-county-february-2011-sales/" title="jefferson county wisconsin housing report">jefferson county wisconsin housing report</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/03/05/jefferson-county-february-2011-sales/" title="Jefferson County WI Homes Solds">Jefferson County WI Homes Solds</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/03/05/jefferson-county-february-2011-sales/" title="jefferson county wi home sales 2010">jefferson county wi home sales 2010</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/03/05/jefferson-county-february-2011-sales/" title="jefferson county wi">jefferson county wi</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/03/05/jefferson-county-february-2011-sales/" title="HOUSING SALES JEFFERSON COUNTY WI 2011">HOUSING SALES JEFFERSON COUNTY WI 2011</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/03/05/jefferson-county-february-2011-sales/" title="housing market jefferson county wi">housing market jefferson county wi</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/03/05/jefferson-county-february-2011-sales/" title="solds in jefferson county wisconsin">solds in jefferson county wisconsin</a></li></ul><!-- SEO SearchTerms Tagging 2 Plugin -->]]></content:encoded>
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		</item>
		<item>
		<title>Waukesha County Sales February 2011</title>
		<link>http://www.mywisconsinrealestateblog.com/2011/03/03/waukesha-county-sales-february-2011/</link>
		<comments>http://www.mywisconsinrealestateblog.com/2011/03/03/waukesha-county-sales-february-2011/#comments</comments>
		<pubDate>Thu, 03 Mar 2011 23:04:49 +0000</pubDate>
		<dc:creator>bradkoenig</dc:creator>
				<category><![CDATA[2011 Sales Data]]></category>
		<category><![CDATA[home pricing]]></category>
		<category><![CDATA[Home Selling]]></category>

		<guid isPermaLink="false">http://www.mywisconsinrealestateblog.com/?p=416</guid>
		<description><![CDATA[  Many of you ask us “What is going on in my local housing market See blog post  http://mywisconsinrealestateblog.com.previewdns.com/2009/10/20/pricing-your-home-in-todays-market/  If you are curious on the value of your home visit www.YourLocalHomeValue.com Here is are numbers for Waukesha County broken down into price points. Waukesha County under 200,000 Original Price List Price Sale Price CDOM Price Chg % [...]]]></description>
			<content:encoded><![CDATA[<p></p><p> </p>
<p>Many of you ask us “What is going on in my local housing market</p>
<p>See blog post<br />
 <a href="http://mywisconsinrealestateblog.com.previewdns.com/2009/10/20/pricing-your-home-in-todays-market/" target="_blank">http://mywisconsinrealestateblog.com.previewdns.com/2009/10/20/pricing-your-home-in-todays-market/</a></p>
<p> If you are curious on the value of your home visit<br />
<a href="http://www.yourlocalhomevalue.com/" target="_blank"><br />
www.YourLocalHomeValue.com</a></p>
<p>Here is are numbers for Waukesha County broken down into price points.</p>
<div>
<table border="0" cellspacing="0" cellpadding="2" width="657" bordercolor="#111111">
<tbody>
<tr>
<td width="321" bgcolor="#ff9900">Waukesha County under 200,000</td>
<td width="211" bgcolor="#ff9900">Original Price</td>
<td width="146" bgcolor="#ff9900">List Price</td>
<td width="149" bgcolor="#ff9900">Sale Price</td>
<td width="119" bgcolor="#ff9900">CDOM</td>
<td width="147" bgcolor="#ff9900">Price Chg</td>
<td width="56" bgcolor="#ff9900">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="1179">This Search (46 Matches)</td>
</tr>
<tr>
<td width="321">Average</td>
<td id="avgOLP" width="211">$159,804</td>
<td id="avgLP" width="146">$144,091</td>
<td id="avgSP" width="149">$136,840</td>
<td id="avgDom" width="119">127</td>
<td id="avgPCh" width="147"><span style="color: #ff0000;">$-23,779</span></td>
<td id="avgPChPct" width="56"><span style="color: #ff0000;">-13.78%</span></td>
</tr>
<tr>
<td width="321">Median</td>
<td id="medOLP" width="211">$164,750</td>
<td id="medLP" width="146">$149,950</td>
<td id="medSP" width="149">$142,500</td>
<td id="medDom" width="119">111</td>
<td id="medPCh" width="147"><span style="color: #ff0000;">$-17,750</span></td>
<td id="medPChPct" width="56"><span style="color: #ff0000;">-10.42%</span></td>
</tr>
<tr>
<td width="321">Low</td>
<td id="lowOLP" width="211">$70,000</td>
<td id="lowLP" width="146">$47,500</td>
<td id="lowSP" width="149">$45,000</td>
<td id="lowDom" width="119"><span style="color: #ff0000;">-262</span></td>
<td id="lowPCh" width="147"><span style="color: #ff0000;">$-89,500</span></td>
<td id="lowPChPct" width="56"><span style="color: #ff0000;">-46.29%</span></td>
</tr>
<tr>
<td width="321">High</td>
<td id="hiOLP" width="211">$244,900</td>
<td id="hiLP" width="146">$205,000</td>
<td id="hiSP" width="149">$237,000</td>
<td id="hiDom" width="119">400</td>
<td id="hiPCh" width="147">$5,900</td>
<td id="hiPChPct" width="56">3.7%</td>
</tr>
<tr>
<td width="303">Number of listings</td>
<td width="211">46 w/Orig. Pr.</td>
<td id="ctLP" width="146">46</td>
<td width="149">46 sold</td>
<td id="ctDom" width="119">46</td>
<td colspan="2" width="208">28 changed price</td>
</tr>
</tbody>
</table>
</div>
<p> </p>
<div>
<table border="0" cellspacing="0" cellpadding="2" width="658" bordercolor="#111111">
<tbody>
<tr>
<td width="323" bgcolor="#ff9900">Waukesha County<br />
200-350,000</td>
<td width="208" bgcolor="#ff9900">Original Price</td>
<td width="144" bgcolor="#ff9900">List Price</td>
<td width="146" bgcolor="#ff9900">Sale Price</td>
<td width="117" bgcolor="#ff9900">CDOM</td>
<td width="158" bgcolor="#ff9900">Price Chg</td>
<td width="56" bgcolor="#ff9900">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="1182">This Search (62 Matches)</td>
</tr>
<tr>
<td width="323">Average</td>
<td id="avgOLP" width="208">$277,146</td>
<td id="avgLP" width="144">$266,381</td>
<td id="avgSP" width="146">$258,692</td>
<td id="avgDom" width="117">182</td>
<td id="avgPCh" width="158"><span style="color: #ff0000;">$-23,016</span></td>
<td id="avgPChPct" width="56"><span style="color: #ff0000;">-7.46%</span></td>
</tr>
<tr>
<td width="323">Median</td>
<td id="medOLP" width="208">$271,125</td>
<td id="medLP" width="144">$262,900</td>
<td id="medSP" width="146">$250,000</td>
<td id="medDom" width="117">179</td>
<td id="medPCh" width="158"><span style="color: #ff0000;">$-15,000</span></td>
<td id="medPChPct" width="56"><span style="color: #ff0000;">-5.78%</span></td>
</tr>
<tr>
<td width="323">Low</td>
<td id="lowOLP" width="208">$202,500</td>
<td id="lowLP" width="144">$202,500</td>
<td id="lowSP" width="146">$196,000</td>
<td id="lowDom" width="117">6</td>
<td id="lowPCh" width="158"><span style="color: #ff0000;">$-100,000</span></td>
<td id="lowPChPct" width="56"><span style="color: #ff0000;">-22.23%</span></td>
</tr>
<tr>
<td width="323">High</td>
<td id="hiOLP" width="208">$449,800</td>
<td id="hiLP" width="144">$349,900</td>
<td id="hiSP" width="146">$349,900</td>
<td id="hiDom" width="117">741</td>
<td id="hiPCh" width="158"><span style="color: #ff0000;">$-2,100</span></td>
<td id="hiPChPct" width="56"><span style="color: #ff0000;">-0.7%</span></td>
</tr>
<tr>
<td width="305">Number of listings</td>
<td width="208">62 w/Orig. Pr.</td>
<td id="ctLP" width="144">62</td>
<td width="146">62 sold</td>
<td id="ctDom" width="117">62</td>
<td colspan="2" width="219">29 changed price</td>
</tr>
</tbody>
</table>
</div>
<p> </p>
<div>
<table border="0" cellspacing="0" cellpadding="2" width="659" bordercolor="#111111">
<tbody>
<tr>
<td width="323" bgcolor="#ff9900">Waukesha County 350,000+</td>
<td width="208" bgcolor="#ff9900">Original Price</td>
<td width="144" bgcolor="#ff9900">List Price</td>
<td width="146" bgcolor="#ff9900">Sale Price</td>
<td width="117" bgcolor="#ff9900">CDOM</td>
<td width="158" bgcolor="#ff9900">Price Chg</td>
<td width="56" bgcolor="#ff9900">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="1182">This Search (30 Matches)</td>
</tr>
<tr>
<td width="323">Average</td>
<td id="avgOLP" width="208">$588,112</td>
<td id="avgLP" width="144">$532,325</td>
<td id="avgSP" width="146">$493,510</td>
<td id="avgDom" width="117">251</td>
<td id="avgPCh" width="158"><span style="color: #ff0000;">$-88,085</span></td>
<td id="avgPChPct" width="56"><span style="color: #ff0000;">-10.61%</span></td>
</tr>
<tr>
<td width="323">Median</td>
<td id="medOLP" width="208">$479,950</td>
<td id="medLP" width="144">$445,000</td>
<td id="medSP" width="146">$404,000</td>
<td id="medDom" width="117">170</td>
<td id="medPCh" width="158"><span style="color: #ff0000;">$-44,900</span></td>
<td id="medPChPct" width="56"><span style="color: #ff0000;">-8.32%</span></td>
</tr>
<tr>
<td width="323">Low</td>
<td id="lowOLP" width="208">$365,000</td>
<td id="lowLP" width="144">$359,888</td>
<td id="lowSP" width="146">$320,000</td>
<td id="lowDom" width="117">11</td>
<td id="lowPCh" width="158"><span style="color: #ff0000;">$-450,100</span></td>
<td id="lowPChPct" width="56"><span style="color: #ff0000;">-34.62%</span></td>
</tr>
<tr>
<td width="323">High</td>
<td id="hiOLP" width="208">$1,300,000</td>
<td id="hiLP" width="144">$999,900</td>
<td id="hiSP" width="146">$950,000</td>
<td id="hiDom" width="117">927</td>
<td id="hiPCh" width="158"><span style="color: #ff0000;">$-5,112</span></td>
<td id="hiPChPct" width="56"><span style="color: #ff0000;">-1.4%</span></td>
</tr>
<tr>
<td width="305">Number of listings</td>
<td width="208">30 w/Orig. Pr.</td>
<td id="ctLP" width="144">30</td>
<td width="146">30 sold</td>
<td id="ctDom" width="117">30</td>
<td colspan="2" width="219">19 changed price</td>
</tr>
</tbody>
</table>
</div>
<h4>Incoming search terms for the article:</h4><ul><li><a href="http://www.mywisconsinrealestateblog.com/2011/03/03/waukesha-county-sales-february-2011/" title="waukesha county sales tax">waukesha county sales tax</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/03/03/waukesha-county-sales-february-2011/" title="waukesha county home sales 2011">waukesha county home sales 2011</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/03/03/waukesha-county-sales-february-2011/" title="waukesha county sales tax 2011">waukesha county sales tax 2011</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/03/03/waukesha-county-sales-february-2011/" title="waukesha county homes sold may 2011">waukesha county homes sold may 2011</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/03/03/waukesha-county-sales-february-2011/" title="waukesha county real estate sold in 2011">waukesha county real estate sold in 2011</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/03/03/waukesha-county-sales-february-2011/" title="waukesha county sales 2011">waukesha county sales 2011</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/03/03/waukesha-county-sales-february-2011/" title="2011 home sales waukesha county">2011 home sales waukesha county</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/03/03/waukesha-county-sales-february-2011/" title="waukesha home sales 2011">waukesha home sales 2011</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/03/03/waukesha-county-sales-february-2011/" title="waukesha sales tax 2011">waukesha sales tax 2011</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/03/03/waukesha-county-sales-february-2011/" title="what is the waukesha sales tax?">what is the waukesha sales tax?</a></li></ul><!-- SEO SearchTerms Tagging 2 Plugin -->]]></content:encoded>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>February Sales 2011 Milwaukee County</title>
		<link>http://www.mywisconsinrealestateblog.com/2011/03/03/february-sales-2011-milwaukee-county/</link>
		<comments>http://www.mywisconsinrealestateblog.com/2011/03/03/february-sales-2011-milwaukee-county/#comments</comments>
		<pubDate>Thu, 03 Mar 2011 22:23:07 +0000</pubDate>
		<dc:creator>bradkoenig</dc:creator>
				<category><![CDATA[2011 Sales Data]]></category>
		<category><![CDATA[home sales]]></category>
		<category><![CDATA[market reports]]></category>

		<guid isPermaLink="false">http://www.mywisconsinrealestateblog.com/?p=408</guid>
		<description><![CDATA[  Many of you ask us “What is going on in my local housing market See blog post  http://mywisconsinrealestateblog.com.previewdns.com/2009/10/20/pricing-your-home-in-todays-market/  If you are curious on the value of your home visit www.YourLocalHomeValue.com Here is are numbers for Milwaukee County broken down into price points. Milwaukee County under 100,000 Original Price List Price Sale Price CDOM Price Chg % [...]]]></description>
			<content:encoded><![CDATA[<p></p><p> </p>
<p>Many of you ask us “What is going on in my local housing market</p>
<p>See blog post<br />
 <a href="http://mywisconsinrealestateblog.com.previewdns.com/2009/10/20/pricing-your-home-in-todays-market/" target="_blank">http://mywisconsinrealestateblog.com.previewdns.com/2009/10/20/pricing-your-home-in-todays-market/</a></p>
<p> If you are curious on the value of your home visit<br />
<a href="http://www.yourlocalhomevalue.com/" target="_blank"><br />
www.YourLocalHomeValue.com</a></p>
<p>Here is are numbers for Milwaukee County broken down into price points.</p>
<div>
<table border="0" cellspacing="0" cellpadding="2" width="656" bordercolor="#111111">
<tbody>
<tr>
<td width="323" bgcolor="#ff9900">Milwaukee County under 100,000</td>
<td width="225" bgcolor="#ff9900">Original Price</td>
<td width="143" bgcolor="#ff9900">List Price</td>
<td width="145" bgcolor="#ff9900">Sale Price</td>
<td width="117" bgcolor="#ff9900">CDOM</td>
<td width="144" bgcolor="#ff9900">Price Chg</td>
<td width="56" bgcolor="#ff9900">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="1183">This Search (123 Matches)</td>
</tr>
<tr>
<td width="323">Average</td>
<td id="avgOLP" width="225">$60,521</td>
<td id="avgLP" width="143">$49,923</td>
<td id="avgSP" width="145">$46,327</td>
<td id="avgDom" width="117">155</td>
<td id="avgPCh" width="144"><span style="color: #ff0000;">$-13,847</span></td>
<td id="avgPChPct" width="56"><span style="color: #ff0000;">-23.05%</span></td>
</tr>
<tr>
<td width="323">Median</td>
<td id="medOLP" width="225">$58,950</td>
<td id="medLP" width="143">$42,900</td>
<td id="medSP" width="145">$41,400</td>
<td id="medDom" width="117">122</td>
<td id="medPCh" width="144"><span style="color: #ff0000;">$-11,980</span></td>
<td id="medPChPct" width="56"><span style="color: #ff0000;">-20.04%</span></td>
</tr>
<tr>
<td width="323">Low</td>
<td id="lowOLP" width="225">$5,900</td>
<td id="lowLP" width="143">$4,900</td>
<td id="lowSP" width="145">$3,100</td>
<td id="lowDom" width="117">3</td>
<td id="lowPCh" width="144"><span style="color: #ff0000;">$-40,100</span></td>
<td id="lowPChPct" width="56"><span style="color: #ff0000;">-49.9%</span></td>
</tr>
<tr>
<td width="323">High</td>
<td id="hiOLP" width="225">$254,000</td>
<td id="hiLP" width="143">$100,000</td>
<td id="hiSP" width="145">$109,000</td>
<td id="hiDom" width="117">661</td>
<td id="hiPCh" width="144"><span style="color: #ff0000;">$-100</span></td>
<td id="hiPChPct" width="56"><span style="color: #ff0000;">-0.12%</span></td>
</tr>
<tr>
<td width="305">Number of listings</td>
<td width="225">123 w/Orig. Pr.</td>
<td id="ctLP" width="143">123</td>
<td width="145">123 sold</td>
<td id="ctDom" width="117">123</td>
<td colspan="2" width="205">63 changed price</td>
</tr>
</tbody>
</table>
</div>
<p> </p>
<div>
<table border="0" cellspacing="0" cellpadding="2" width="656" bordercolor="#111111">
<tbody>
<tr>
<td width="323" bgcolor="#ff9900">Milwaukee County 100-250,000</td>
<td width="222" bgcolor="#ff9900">Original Price</td>
<td width="141" bgcolor="#ff9900">List Price</td>
<td width="144" bgcolor="#ff9900">Sale Price</td>
<td width="115" bgcolor="#ff9900">CDOM</td>
<td width="155" bgcolor="#ff9900">Price Chg</td>
<td width="56" bgcolor="#ff9900">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="1186">This Search (123 Matches)</td>
</tr>
<tr>
<td width="323">Average</td>
<td id="avgOLP" width="222">$177,575</td>
<td id="avgLP" width="141">$164,090</td>
<td id="avgSP" width="144">$154,729</td>
<td id="avgDom" width="115">168</td>
<td id="avgPCh" width="155"><span style="color: #ff0000;">$-20,841</span></td>
<td id="avgPChPct" width="56"><span style="color: #ff0000;">-11.01%</span></td>
</tr>
<tr>
<td width="323">Median</td>
<td id="medOLP" width="222">$167,290</td>
<td id="medLP" width="141">$149,900</td>
<td id="medSP" width="144">$143,000</td>
<td id="medDom" width="115">134</td>
<td id="medPCh" width="155"><span style="color: #ff0000;">$-15,000</span></td>
<td id="medPChPct" width="56"><span style="color: #ff0000;">-8.58%</span></td>
</tr>
<tr>
<td width="323">Low</td>
<td id="lowOLP" width="222">$105,000</td>
<td id="lowLP" width="141">$100,000</td>
<td id="lowSP" width="144">$80,000</td>
<td id="lowDom" width="115">1</td>
<td id="lowPCh" width="155"><span style="color: #ff0000;">$-101,000</span></td>
<td id="lowPChPct" width="56"><span style="color: #ff0000;">-37.29%</span></td>
</tr>
<tr>
<td width="323">High</td>
<td id="hiOLP" width="222">$459,900</td>
<td id="hiLP" width="141">$265,000</td>
<td id="hiSP" width="144">$259,915</td>
<td id="hiDom" width="115">898</td>
<td id="hiPCh" width="155"><span style="color: #ff0000;">$-700</span></td>
<td id="hiPChPct" width="56"><span style="color: #ff0000;">-0.32%</span></td>
</tr>
<tr>
<td width="305">Number of listings</td>
<td width="222">124 w/Orig. Pr.</td>
<td id="ctLP" width="141">124</td>
<td width="144">124 sold</td>
<td id="ctDom" width="115">124</td>
<td colspan="2" width="216">68 changed price</td>
</tr>
</tbody>
</table>
</div>
<p> </p>
<div>
<table border="0" cellspacing="0" cellpadding="2" width="657" bordercolor="#111111">
<tbody>
<tr>
<td width="323" bgcolor="#ff9900">Milwaukee County 250,000+</td>
<td width="192" bgcolor="#ff9900">Original Price</td>
<td width="158" bgcolor="#ff9900">List Price</td>
<td width="158" bgcolor="#ff9900">Sale Price</td>
<td width="107" bgcolor="#ff9900">CDOM</td>
<td width="172" bgcolor="#ff9900">Price Chg</td>
<td width="56" bgcolor="#ff9900">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="1196">This Search (29 Matches)</td>
</tr>
<tr>
<td width="323">Average</td>
<td id="avgOLP" width="192">$488,900</td>
<td id="avgLP" width="158">$432,179</td>
<td id="avgSP" width="158">$391,607</td>
<td id="avgDom" width="107">204</td>
<td id="avgPCh" width="172"><span style="color: #ff0000;">$-91,383</span></td>
<td id="avgPChPct" width="56"><span style="color: #ff0000;">-8.87%</span></td>
</tr>
<tr>
<td width="323">Median</td>
<td id="medOLP" width="192">$325,000</td>
<td id="medLP" width="158">$310,000</td>
<td id="medSP" width="158">$300,420</td>
<td id="medDom" width="107">169</td>
<td id="medPCh" width="172"><span style="color: #ff0000;">$-21,950</span></td>
<td id="medPChPct" width="56"><span style="color: #ff0000;">-7.52%</span></td>
</tr>
<tr>
<td width="323">Low</td>
<td id="lowOLP" width="192">$264,900</td>
<td id="lowLP" width="158">$254,900</td>
<td id="lowSP" width="158">$220,000</td>
<td id="lowDom" width="107">1</td>
<td id="lowPCh" width="172"><span style="color: #ff0000;">$-1,095,000</span></td>
<td id="lowPChPct" width="56"><span style="color: #ff0000;">-36.56%</span></td>
</tr>
<tr>
<td width="323">High</td>
<td id="hiOLP" width="192">$2,995,000</td>
<td id="hiLP" width="158">$1,900,000</td>
<td id="hiSP" width="158">$1,500,000</td>
<td id="hiDom" width="107">979</td>
<td id="hiPCh" width="172"><span style="color: #ff0000;">$-10,000</span></td>
<td id="hiPChPct" width="56"><span style="color: #ff0000;">-3.26%</span></td>
</tr>
<tr>
<td width="305">Number of Listings</td>
<td width="192">29 w/Orig. Pr.</td>
<td id="ctLP" width="158">29</td>
<td width="158">29 sold</td>
<td id="ctDom" width="107">29</td>
<td colspan="2" width="233">18 changed price</td>
</tr>
</tbody>
</table>
</div>
<h4>Incoming search terms for the article:</h4><ul><li><a href="http://www.mywisconsinrealestateblog.com/2011/03/03/february-sales-2011-milwaukee-county/" title="home market values in milwaukee in 2011">home market values in milwaukee in 2011</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/03/03/february-sales-2011-milwaukee-county/" title="housing market 2011 milwaukee county">housing market 2011 milwaukee county</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/03/03/february-sales-2011-milwaukee-county/" title="how many houses for sale in milwaukee in 2011">how many houses for sale in milwaukee in 2011</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/03/03/february-sales-2011-milwaukee-county/" title="milwaukee 2011 housing market">milwaukee 2011 housing market</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/03/03/february-sales-2011-milwaukee-county/" title="milwaukee county housing market 2011">milwaukee county housing market 2011</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/03/03/february-sales-2011-milwaukee-county/" title="milwaukee goverment housing for sale">milwaukee goverment housing for sale</a></li></ul><!-- SEO SearchTerms Tagging 2 Plugin -->]]></content:encoded>
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		<title>Milwaukee County Sales Report 2010</title>
		<link>http://www.mywisconsinrealestateblog.com/2011/01/12/milwaukee-county-sales-report-2010/</link>
		<comments>http://www.mywisconsinrealestateblog.com/2011/01/12/milwaukee-county-sales-report-2010/#comments</comments>
		<pubDate>Wed, 12 Jan 2011 20:44:46 +0000</pubDate>
		<dc:creator>bradkoenig</dc:creator>
				<category><![CDATA[2010 Sales Data]]></category>
		<category><![CDATA[Home Selling]]></category>
		<category><![CDATA[Market updates]]></category>
		<category><![CDATA[Pricing your home in todays market]]></category>
		<category><![CDATA[home sales]]></category>
		<category><![CDATA[selling your home]]></category>

		<guid isPermaLink="false">http://www.mywisconsinrealestateblog.com/?p=395</guid>
		<description><![CDATA[Here are some sales data to compare 2010 vs 2009 for Milwaukee county. I broke the numbers down into different cities as well. This report is for single family only. …or sign up for a monthly email report that is specific to your neighborhood!  See blog post   http://mywisconsinrealestateblog.com/post/1218462/pricing-your-home-in-todays-market  If you are curious on the value [...]]]></description>
			<content:encoded><![CDATA[<p></p><h4>Here are some sales data to compare 2010 vs 2009 for Milwaukee county. I broke the numbers down into different cities as well. This report is for single family only.</h4>
<p><strong><a href="http://www.homeinsight.com/Widget/default.asp?P1J3UPWCL7ZK" target="_blank"><br />
…or sign up for a monthly email report that is specific to <em>your </em>neighborhood!</a>  </strong></p>
<p>See blog post<br />
 </p>
<p><a href="http://mywisconsinrealestateblog.com/post/1218462/pricing-your-home-in-todays-market" target="_blank">http://mywisconsinrealestateblog.com/post/1218462/pricing-your-home-in-todays-market</a></p>
<p> If you are curious on the value of your home visit<br />
<a href="http://www.yourlocalhomevalue.com/" target="_blank"><br />
www.YourLocalHomeValue.com</a></p>
<div>
<table border="0" cellspacing="0" cellpadding="2" width="658" bordercolor="#111111">
<tbody>
<tr>
<td width="323" bgcolor="#f7f7c1"><strong>5,237 Solds 2010 Milwaukee county</strong></td>
<td width="224" bgcolor="#f7f7c1">Original Price</td>
<td width="152" bgcolor="#f7f7c1">List Price</td>
<td width="152" bgcolor="#f7f7c1">Sale Price</td>
<td width="103" bgcolor="#f7f7c1">CDOM</td>
<td width="164" bgcolor="#f7f7c1">Price Chg</td>
<td width="56" bgcolor="#f7f7c1">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="1204"> </td>
</tr>
<tr>
<td width="323">Average</td>
<td id="avgOLP" width="224">$175,427</td>
<td id="avgLP" width="152">$160,126</td>
<td id="avgSP" width="152">$152,343</td>
<td id="avgDom" width="103">123</td>
<td id="avgPCh" width="164"><span style="color: red;">$-17,853</span></td>
<td id="avgPChPct" width="56"><span style="color: red;">-11.92%</span></td>
</tr>
<tr>
<td width="323">Median</td>
<td id="medOLP" width="224">$145,000</td>
<td id="medLP" width="152">$139,900</td>
<td id="medSP" width="152">$132,800</td>
<td id="medDom" width="103">84</td>
<td id="medPCh" width="164"><span style="color: red;">$-10,900</span></td>
<td id="medPChPct" width="56"><span style="color: red;">-8.34%</span></td>
</tr>
<tr>
<td width="323">Low</td>
<td id="lowOLP" width="224">$82</td>
<td id="lowLP" width="152">$3,400</td>
<td id="lowSP" width="152">$2,000</td>
<td id="lowDom" width="103"><span style="color: red;">-6</span></td>
<td id="lowPCh" width="164"><span style="color: red;">$-1,205,000</span></td>
<td id="lowPChPct" width="56"><span style="color: red;">-50%</span></td>
</tr>
<tr>
<td width="323">High</td>
<td id="hiOLP" width="224">$17,850,032</td>
<td id="hiLP" width="152">$3,995,000</td>
<td id="hiSP" width="152">$3,100,000</td>
<td id="hiDom" width="103">1,141</td>
<td id="hiPCh" width="164">$100,000</td>
<td id="hiPChPct" width="56">85.71%</td>
</tr>
<tr>
<td width="305">Number of listings</td>
<td width="224">5,237 w/Orig. Pr.</td>
<td id="ctLP" width="152">5,237</td>
<td width="152">5,235 sold</td>
<td id="ctDom" width="103">5,237</td>
<td colspan="2" width="225">2,629 changed price</td>
</tr>
</tbody>
</table>
</div>
<h4>Compared to 2009, sales were down by 1021. Days on market remained the same. While Average sale price up $7,458 or 5.1%</h4>
<p> </p>
<div>
<table border="0" cellspacing="0" cellpadding="2" width="656" bordercolor="#111111">
<tbody>
<tr>
<td width="446" bgcolor="#f7f7c1"><strong>6,268 Solds 2009 Milwaukee county</strong></td>
<td width="203" bgcolor="#f7f7c1">Original Price</td>
<td width="136" bgcolor="#f7f7c1">List Price</td>
<td width="137" bgcolor="#f7f7c1">Sale Price</td>
<td width="93" bgcolor="#f7f7c1">CDOM</td>
<td width="126" bgcolor="#f7f7c1">Price Chg</td>
<td width="57" bgcolor="#f7f7c1">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="1222"> </td>
</tr>
<tr>
<td width="446">Average</td>
<td id="avgOLP" width="203">$164,690</td>
<td id="avgLP" width="136">$152,161</td>
<td id="avgSP" width="137">$144,885</td>
<td id="avgDom" width="93">124</td>
<td id="avgPCh" width="126"><span style="color: red;">$-17,041</span></td>
<td id="avgPChPct" width="57"><span style="color: red;">-12.97%</span></td>
</tr>
<tr>
<td width="446">Median</td>
<td id="medOLP" width="203">$149,000</td>
<td id="medLP" width="136">$139,900</td>
<td id="medSP" width="137">$135,000</td>
<td id="medDom" width="93">82</td>
<td id="medPCh" width="126"><span style="color: red;">$-10,900</span></td>
<td id="medPChPct" width="57"><span style="color: red;">-8.88%</span></td>
</tr>
<tr>
<td width="446">Low</td>
<td id="lowOLP" width="203">$2</td>
<td id="lowLP" width="136">$3,500</td>
<td id="lowSP" width="137">$2,250</td>
<td id="lowDom" width="93">1</td>
<td id="lowPCh" width="126"><span style="color: red;">$-751,000</span></td>
<td id="lowPChPct" width="57"><span style="color: red;">-50%</span></td>
</tr>
<tr>
<td width="446">High</td>
<td id="hiOLP" width="203">$12,359,900</td>
<td id="hiLP" width="136">$3,850,000</td>
<td id="hiSP" width="137">$3,140,000</td>
<td id="hiDom" width="93">1,094</td>
<td id="hiPCh" width="126">$100,000</td>
<td id="hiPChPct" width="57">125.16%</td>
</tr>
<tr>
<td width="428">Number of listings</td>
<td width="203">6,268 w/Orig. Pr.</td>
<td id="ctLP" width="136">6,268</td>
<td width="137">6,268 sold</td>
<td id="ctDom" width="93">6,268</td>
<td colspan="2" width="187">2,983 changed price</td>
</tr>
</tbody>
</table>
</div>
<p> </p>
<div>
<table border="0" cellspacing="0" cellpadding="2" width="656" bordercolor="#111111">
<tbody>
<tr>
<td width="323" bgcolor="#f7f7c1"><strong>Bayside 56 Sales </strong></td>
<td width="211" bgcolor="#f7f7c1">Original Price</td>
<td width="146" bgcolor="#f7f7c1">List Price</td>
<td width="148" bgcolor="#f7f7c1">Sale Price</td>
<td width="119" bgcolor="#f7f7c1">CDOM</td>
<td width="147" bgcolor="#f7f7c1">Price Chg</td>
<td width="56" bgcolor="#f7f7c1">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="1180"> </td>
</tr>
<tr>
<td width="323">Average</td>
<td id="avgOLP" width="211">$312,448</td>
<td id="avgLP" width="146">$298,887</td>
<td id="avgSP" width="148">$284,472</td>
<td id="avgDom" width="119">163</td>
<td id="avgPCh" width="147"><span style="color: red;">$-27,123</span></td>
<td id="avgPChPct" width="56"><span style="color: red;">-9.14%</span></td>
</tr>
<tr>
<td width="323">Median</td>
<td id="medOLP" width="211">$284,700</td>
<td id="medLP" width="146">$267,400</td>
<td id="medSP" width="148">$255,000</td>
<td id="medDom" width="119">126</td>
<td id="medPCh" width="147"><span style="color: red;">$-20,000</span></td>
<td id="medPChPct" width="56"><span style="color: red;">-6.07%</span></td>
</tr>
<tr>
<td width="323">Low</td>
<td id="lowOLP" width="211">$159,900</td>
<td id="lowLP" width="146">$124,900</td>
<td id="lowSP" width="148">$111,000</td>
<td id="lowDom" width="119">7</td>
<td id="lowPCh" width="147"><span style="color: red;">$-99,900</span></td>
<td id="lowPChPct" width="56"><span style="color: red;">-27.11%</span></td>
</tr>
<tr>
<td width="323">High</td>
<td id="hiOLP" width="211">$830,000</td>
<td id="hiLP" width="146">$830,000</td>
<td id="hiSP" width="148">$833,500</td>
<td id="hiDom" width="119">525</td>
<td id="hiPCh" width="147"><span style="color: red;">$-5,000</span></td>
<td id="hiPChPct" width="56"><span style="color: red;">-1.56%</span></td>
</tr>
<tr>
<td width="305">Number of listings</td>
<td width="211">56 w/Orig. Pr.</td>
<td id="ctLP" width="146">56</td>
<td width="148">56 sold</td>
<td id="ctDom" width="119">56</td>
<td colspan="2" width="208">28 changed price</td>
</tr>
</tbody>
</table>
</div>
<h4>42 sales for Bayside in 2009 151 days on the market and average price point of $295,821 down $11,349 or 3.8%</h4>
<p> </p>
<div>
<table border="0" cellspacing="0" cellpadding="2" width="658" bordercolor="#111111">
<tbody>
<tr>
<td width="323" bgcolor="#f7f7c1"><strong>Brown Deer 94 Sales </strong></td>
<td width="211" bgcolor="#f7f7c1">Original Price</td>
<td width="146" bgcolor="#f7f7c1">List Price</td>
<td width="148" bgcolor="#f7f7c1">Sale Price</td>
<td width="119" bgcolor="#f7f7c1">CDOM</td>
<td width="147" bgcolor="#f7f7c1">Price Chg</td>
<td width="56" bgcolor="#f7f7c1">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="1180"> </td>
</tr>
<tr>
<td width="323">Average</td>
<td id="avgOLP" width="211">$168,796</td>
<td id="avgLP" width="146">$156,406</td>
<td id="avgSP" width="148">$148,383</td>
<td id="avgDom" width="119">162</td>
<td id="avgPCh" width="147"><span style="color: red;">$-20,079</span></td>
<td id="avgPChPct" width="56"><span style="color: red;">-12.45%</span></td>
</tr>
<tr>
<td width="323">Median</td>
<td id="medOLP" width="211">$161,250</td>
<td id="medLP" width="146">$154,245</td>
<td id="medSP" width="148">$147,500</td>
<td id="medDom" width="119">134</td>
<td id="medPCh" width="147"><span style="color: red;">$-15,050</span></td>
<td id="medPChPct" width="56"><span style="color: red;">-8.24%</span></td>
</tr>
<tr>
<td width="323">Low</td>
<td id="lowOLP" width="211">$69,900</td>
<td id="lowLP" width="146">$64,900</td>
<td id="lowSP" width="148">$58,250</td>
<td id="lowDom" width="119">7</td>
<td id="lowPCh" width="147"><span style="color: red;">$-60,900</span></td>
<td id="lowPChPct" width="56"><span style="color: red;">-43.53%</span></td>
</tr>
<tr>
<td width="323">High</td>
<td id="hiOLP" width="211">$308,000</td>
<td id="hiLP" width="146">$308,000</td>
<td id="hiSP" width="148">$280,000</td>
<td id="hiDom" width="119">712</td>
<td id="hiPCh" width="147">$50</td>
<td id="hiPChPct" width="56">0.03%</td>
</tr>
<tr>
<td width="305">Number of listings</td>
<td width="211">94 w/Orig. Pr.</td>
<td id="ctLP" width="146">94</td>
<td width="148">94 sold</td>
<td id="ctDom" width="119">94</td>
<td colspan="2" width="208">58 changed price</td>
</tr>
</tbody>
</table>
</div>
<h4>In 2009 there were 98 sales 126 days on the market with average price point of $162,791 down $14,408 or 8.8%</h4>
<p> </p>
<div>
<table border="0" cellspacing="0" cellpadding="2" width="659" bordercolor="#111111">
<tbody>
<tr>
<td width="323" bgcolor="#f7f7c1"><strong>Cudahy 109 sales</strong></td>
<td width="225" bgcolor="#f7f7c1">Original Price</td>
<td width="143" bgcolor="#f7f7c1">List Price</td>
<td width="145" bgcolor="#f7f7c1">Sale Price</td>
<td width="117" bgcolor="#f7f7c1">CDOM</td>
<td width="144" bgcolor="#f7f7c1">Price Chg</td>
<td width="56" bgcolor="#f7f7c1">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="1183"> </td>
</tr>
<tr>
<td width="323">Average</td>
<td id="avgOLP" width="225">$147,742</td>
<td id="avgLP" width="143">$139,320</td>
<td id="avgSP" width="145">$132,757</td>
<td id="avgDom" width="117">111</td>
<td id="avgPCh" width="144"><span style="color: red;">$-15,048</span></td>
<td id="avgPChPct" width="56"><span style="color: red;">-11.15%</span></td>
</tr>
<tr>
<td width="323">Median</td>
<td id="medOLP" width="225">$149,500</td>
<td id="medLP" width="143">$133,900</td>
<td id="medSP" width="145">$130,000</td>
<td id="medDom" width="117">72</td>
<td id="medPCh" width="144"><span style="color: red;">$-10,000</span></td>
<td id="medPChPct" width="56"><span style="color: red;">-6.26%</span></td>
</tr>
<tr>
<td width="323">Low</td>
<td id="lowOLP" width="225">$44,900</td>
<td id="lowLP" width="143">$34,900</td>
<td id="lowSP" width="145">$30,000</td>
<td id="lowDom" width="117">1</td>
<td id="lowPCh" width="144"><span style="color: red;">$-50,000</span></td>
<td id="lowPChPct" width="56"><span style="color: red;">-46.73%</span></td>
</tr>
<tr>
<td width="323">High</td>
<td id="hiOLP" width="225">$339,000</td>
<td id="hiLP" width="143">$339,000</td>
<td id="hiSP" width="145">$320,000</td>
<td id="hiDom" width="117">586</td>
<td id="hiPCh" width="144"><span style="color: red;">$-100</span></td>
<td id="hiPChPct" width="56"><span style="color: red;">-0.06%</span></td>
</tr>
<tr>
<td width="305">Number of listings</td>
<td width="225">109 w/Orig. Pr.</td>
<td id="ctLP" width="143">109</td>
<td width="145">109 sold</td>
<td id="ctDom" width="117">109</td>
<td colspan="2" width="205">61 changed price</td>
</tr>
</tbody>
</table>
</div>
<h4>In 2009 there were 101 sales in Cudahy, 131 days on the market with average price point of $136,841 down $4,084 or 3%</h4>
<p> </p>
<div>
<table border="0" cellspacing="0" cellpadding="2" width="658" bordercolor="#111111">
<tbody>
<tr>
<td width="323" bgcolor="#f7f7c1"><strong>Fox Point 76 Sales</strong></td>
<td width="197" bgcolor="#f7f7c1">Original Price</td>
<td width="162" bgcolor="#f7f7c1">List Price</td>
<td width="163" bgcolor="#f7f7c1">Sale Price</td>
<td width="111" bgcolor="#f7f7c1">CDOM</td>
<td width="150" bgcolor="#f7f7c1">Price Chg</td>
<td width="56" bgcolor="#f7f7c1">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="1192">This Search (76 Matches)</td>
</tr>
<tr>
<td width="323">Average</td>
<td id="avgOLP" width="197">$466,918</td>
<td id="avgLP" width="162">$432,980</td>
<td id="avgSP" width="163">$406,694</td>
<td id="avgDom" width="111">196</td>
<td id="avgPCh" width="150"><span style="color: red;">$-56,072</span></td>
<td id="avgPChPct" width="56"><span style="color: red;">-9.9%</span></td>
</tr>
<tr>
<td width="323">Median</td>
<td id="medOLP" width="197">$319,900</td>
<td id="medLP" width="162">$303,000</td>
<td id="medSP" width="163">$275,000</td>
<td id="medDom" width="111">166</td>
<td id="medPCh" width="150"><span style="color: red;">$-20,000</span></td>
<td id="medPChPct" width="56"><span style="color: red;">-7.3%</span></td>
</tr>
<tr>
<td width="323">Low</td>
<td id="lowOLP" width="197">$169,900</td>
<td id="lowLP" width="162">$129,900</td>
<td id="lowSP" width="163">$118,000</td>
<td id="lowDom" width="111">1</td>
<td id="lowPCh" width="150"><span style="color: red;">$-500,000</span></td>
<td id="lowPChPct" width="56"><span style="color: red;">-35.84%</span></td>
</tr>
<tr>
<td width="323">High</td>
<td id="hiOLP" width="197">$2,495,000</td>
<td id="hiLP" width="162">$2,495,000</td>
<td id="hiSP" width="163">$2,225,000</td>
<td id="hiDom" width="111">1,141</td>
<td id="hiPCh" width="150"><span style="color: red;">$-900</span></td>
<td id="hiPChPct" width="56"><span style="color: red;">-0.21%</span></td>
</tr>
<tr>
<td width="305">Number of listings</td>
<td width="197">76 w/Orig. Pr.</td>
<td id="ctLP" width="162">76</td>
<td width="163">76 sold</td>
<td id="ctDom" width="111">76</td>
<td colspan="2" width="211">46 changed price</td>
</tr>
</tbody>
</table>
</div>
<h4>In 2009 there were 80 sales in Fox Point, 149 days on the market with average price point of $367,549 up  $39,145 or 10.8%</h4>
<p> </p>
<div>
<table border="0" cellspacing="0" cellpadding="2" width="658" bordercolor="#111111">
<tbody>
<tr>
<td width="323" bgcolor="#f7f7c1"><strong>Franklin 194 sales</strong></td>
<td width="222" bgcolor="#f7f7c1">Original Price</td>
<td width="141" bgcolor="#f7f7c1">List Price</td>
<td width="144" bgcolor="#f7f7c1">Sale Price</td>
<td width="115" bgcolor="#f7f7c1">CDOM</td>
<td width="155" bgcolor="#f7f7c1">Price Chg</td>
<td width="56" bgcolor="#f7f7c1">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="1186"> </td>
</tr>
<tr>
<td width="323">Average</td>
<td id="avgOLP" width="222">$286,640</td>
<td id="avgLP" width="141">$275,631</td>
<td id="avgSP" width="144">$261,988</td>
<td id="avgDom" width="115">140</td>
<td id="avgPCh" width="155"><span style="color: red;">$-20,223</span></td>
<td id="avgPChPct" width="56"><span style="color: red;">-6.8%</span></td>
</tr>
<tr>
<td width="323">Median</td>
<td id="medOLP" width="222">$265,450</td>
<td id="medLP" width="141">$252,450</td>
<td id="medSP" width="144">$244,500</td>
<td id="medDom" width="115">97</td>
<td id="medPCh" width="155"><span style="color: red;">$-15,000</span></td>
<td id="medPChPct" width="56"><span style="color: red;">-5.62%</span></td>
</tr>
<tr>
<td width="323">Low</td>
<td id="lowOLP" width="222">$106,400</td>
<td id="lowLP" width="141">$45,000</td>
<td id="lowSP" width="144">$25,000</td>
<td id="lowDom" width="115">2</td>
<td id="lowPCh" width="155"><span style="color: red;">$-249,000</span></td>
<td id="lowPChPct" width="56"><span style="color: red;">-33.36%</span></td>
</tr>
<tr>
<td width="323">High</td>
<td id="hiOLP" width="222">$899,000</td>
<td id="hiLP" width="141">$895,000</td>
<td id="hiSP" width="144">$780,000</td>
<td id="hiDom" width="115">735</td>
<td id="hiPCh" width="155">$100,000</td>
<td id="hiPChPct" width="56">60.64%</td>
</tr>
<tr>
<td width="305">Number of listings</td>
<td width="222">194 w/Orig. Pr.</td>
<td id="ctLP" width="141">194</td>
<td width="144">194 sold</td>
<td id="ctDom" width="115">194</td>
<td colspan="2" width="216">102 changed price</td>
</tr>
</tbody>
</table>
</div>
<h4>In 2009 there were 204 sales in Franklin, 145 days on the market with average price point of $242,394 up  $39,145 or 10.8%</h4>
<p> </p>
<div>
<table border="0" cellspacing="0" cellpadding="2" width="660" bordercolor="#111111">
<tbody>
<tr>
<td width="323" bgcolor="#f7f7c1"><strong>Glendale 107 Sales</strong></td>
<td width="225" bgcolor="#f7f7c1">Original Price</td>
<td width="143" bgcolor="#f7f7c1">List Price</td>
<td width="145" bgcolor="#f7f7c1">Sale Price</td>
<td width="117" bgcolor="#f7f7c1">CDOM</td>
<td width="144" bgcolor="#f7f7c1">Price Chg</td>
<td width="56" bgcolor="#f7f7c1">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="1183"> </td>
</tr>
<tr>
<td width="323">Average</td>
<td id="avgOLP" width="225">$213,115</td>
<td id="avgLP" width="143">$199,760</td>
<td id="avgSP" width="145">$190,423</td>
<td id="avgDom" width="117">124</td>
<td id="avgPCh" width="144"><span style="color: red;">$-23,761</span></td>
<td id="avgPChPct" width="56"><span style="color: red;">-11.94%</span></td>
</tr>
<tr>
<td width="323">Median</td>
<td id="medOLP" width="225">$189,900</td>
<td id="medLP" width="143">$189,900</td>
<td id="medSP" width="145">$180,000</td>
<td id="medDom" width="117">93</td>
<td id="medPCh" width="144"><span style="color: red;">$-20,000</span></td>
<td id="medPChPct" width="56"><span style="color: red;">-8.63%</span></td>
</tr>
<tr>
<td width="323">Low</td>
<td id="lowOLP" width="225">$79,900</td>
<td id="lowLP" width="143">$34,900</td>
<td id="lowSP" width="145">$40,000</td>
<td id="lowDom" width="117">5</td>
<td id="lowPCh" width="144"><span style="color: red;">$-74,000</span></td>
<td id="lowPChPct" width="56"><span style="color: red;">-43.33%</span></td>
</tr>
<tr>
<td width="323">High</td>
<td id="hiOLP" width="225">$460,000</td>
<td id="hiLP" width="143">$429,000</td>
<td id="hiSP" width="145">$405,000</td>
<td id="hiDom" width="117">602</td>
<td id="hiPCh" width="144"><span style="color: red;">$-4,900</span></td>
<td id="hiPChPct" width="56"><span style="color: red;">-1.89%</span></td>
</tr>
<tr>
<td width="305">Number of listings</td>
<td width="225">107 w/Orig. Pr.</td>
<td id="ctLP" width="143">107</td>
<td width="145">107 sold</td>
<td id="ctDom" width="117">107</td>
<td colspan="2" width="205">55 changed price</td>
</tr>
</tbody>
</table>
</div>
<p><strong>In 2009 there were 127 sales in Glendale, 140 days on the market with average price point of $192,365 down $1,942 or 1%</strong> </p>
<div>
<table border="0" cellspacing="0" cellpadding="2" width="660" bordercolor="#111111">
<tbody>
<tr>
<td width="323" bgcolor="#f7f7c1"><strong>Greendale 89 Sales</strong></td>
<td width="211" bgcolor="#f7f7c1">Original Price</td>
<td width="146" bgcolor="#f7f7c1">List Price</td>
<td width="148" bgcolor="#f7f7c1">Sale Price</td>
<td width="119" bgcolor="#f7f7c1">CDOM</td>
<td width="147" bgcolor="#f7f7c1">Price Chg</td>
<td width="56" bgcolor="#f7f7c1">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="1180"> </td>
</tr>
<tr>
<td width="323">Average</td>
<td id="avgOLP" width="211">$205,015</td>
<td id="avgLP" width="146">$197,806</td>
<td id="avgSP" width="148">$188,064</td>
<td id="avgDom" width="119">124</td>
<td id="avgPCh" width="147"><span style="color: red;">$-13,366</span></td>
<td id="avgPChPct" width="56"><span style="color: red;">-6.38%</span></td>
</tr>
<tr>
<td width="323">Median</td>
<td id="medOLP" width="211">$194,500</td>
<td id="medLP" width="146">$184,900</td>
<td id="medSP" width="148">$175,900</td>
<td id="medDom" width="119">96</td>
<td id="medPCh" width="147"><span style="color: red;">$-10,000</span></td>
<td id="medPChPct" width="56"><span style="color: red;">-5.27%</span></td>
</tr>
<tr>
<td width="323">Low</td>
<td id="lowOLP" width="211">$109,900</td>
<td id="lowLP" width="146">$99,900</td>
<td id="lowSP" width="148">$96,000</td>
<td id="lowDom" width="119">1</td>
<td id="lowPCh" width="147"><span style="color: red;">$-77,100</span></td>
<td id="lowPChPct" width="56"><span style="color: red;">-43.56%</span></td>
</tr>
<tr>
<td width="323">High</td>
<td id="hiOLP" width="211">$425,000</td>
<td id="hiLP" width="146">$425,000</td>
<td id="hiSP" width="148">$410,000</td>
<td id="hiDom" width="119">597</td>
<td id="hiPCh" width="147"><span style="color: red;">$-1,000</span></td>
<td id="hiPChPct" width="56"><span style="color: red;">-0.44%</span></td>
</tr>
<tr>
<td width="305">Number of listings</td>
<td width="211">89 w/Orig. Pr.</td>
<td id="ctLP" width="146">89</td>
<td width="148">89 sold</td>
<td id="ctDom" width="119">89</td>
<td colspan="2" width="208">48 changed price</td>
</tr>
</tbody>
</table>
</div>
<p><strong>In 2009 there were 96 sales in Greendale, 96 days on the market with average price point of $193,999 down $5,935 or 3%</strong></p>
<div>
<table border="0" cellspacing="0" cellpadding="2" width="662" bordercolor="#111111">
<tbody>
<tr>
<td width="323" bgcolor="#f7f7c1"><strong>Greenfield 182 Sales</strong></td>
<td width="222" bgcolor="#f7f7c1">Original Price</td>
<td width="141" bgcolor="#f7f7c1">List Price</td>
<td width="144" bgcolor="#f7f7c1">Sale Price</td>
<td width="115" bgcolor="#f7f7c1">CDOM</td>
<td width="155" bgcolor="#f7f7c1">Price Chg</td>
<td width="56" bgcolor="#f7f7c1">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="1186"> </td>
</tr>
<tr>
<td width="323">Average</td>
<td id="avgOLP" width="222">$279,930</td>
<td id="avgLP" width="141">$175,026</td>
<td id="avgSP" width="144">$167,480</td>
<td id="avgDom" width="115">122</td>
<td id="avgPCh" width="155"><span style="color: red;">$-16,147</span></td>
<td id="avgPChPct" width="56"><span style="color: red;">-9.34%</span></td>
</tr>
<tr>
<td width="323">Median</td>
<td id="medOLP" width="222">$174,900</td>
<td id="medLP" width="141">$165,000</td>
<td id="medSP" width="144">$159,450</td>
<td id="medDom" width="115">87</td>
<td id="medPCh" width="155"><span style="color: red;">$-11,750</span></td>
<td id="medPChPct" width="56"><span style="color: red;">-6.56%</span></td>
</tr>
<tr>
<td width="323">Low</td>
<td id="lowOLP" width="222">$59,900</td>
<td id="lowLP" width="141">$59,900</td>
<td id="lowSP" width="144">$45,150</td>
<td id="lowDom" width="115">1</td>
<td id="lowPCh" width="155"><span style="color: red;">$-118,000</span></td>
<td id="lowPChPct" width="56"><span style="color: red;">-40.04%</span></td>
</tr>
<tr>
<td width="323">High</td>
<td id="hiOLP" width="222">$17,850,032</td>
<td id="hiLP" width="141">$420,000</td>
<td id="hiSP" width="144">$415,000</td>
<td id="hiDom" width="115">784</td>
<td id="hiPCh" width="155">$5,800</td>
<td id="hiPChPct" width="56">3.93%</td>
</tr>
<tr>
<td width="305">Number of listings</td>
<td width="222">182 w/Orig. Pr.</td>
<td id="ctLP" width="141">182</td>
<td width="144">182 sold</td>
<td id="ctDom" width="115">182</td>
<td colspan="2" width="216">88 changed price</td>
</tr>
</tbody>
</table>
</div>
<p><strong>In 2009 there were 228 sales in Greenfield 103 days on the market with average price point of $175,373 down $7,893 or 4.5%</strong></p>
<div>
<table border="0" cellspacing="0" cellpadding="2" width="663" bordercolor="#111111">
<tbody>
<tr>
<td width="323" bgcolor="#f7f7c1"><strong>Hales Corners 42 Sales</strong></td>
<td width="211" bgcolor="#f7f7c1">Original Price</td>
<td width="146" bgcolor="#f7f7c1">List Price</td>
<td width="148" bgcolor="#f7f7c1">Sale Price</td>
<td width="119" bgcolor="#f7f7c1">CDOM</td>
<td width="147" bgcolor="#f7f7c1">Price Chg</td>
<td width="48" bgcolor="#f7f7c1">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="1172"> </td>
</tr>
<tr>
<td width="323">Average</td>
<td id="avgOLP" width="211">$201,975</td>
<td id="avgLP" width="146">$193,610</td>
<td id="avgSP" width="148">$185,783</td>
<td id="avgDom" width="119">153</td>
<td id="avgPCh" width="147"><span style="color: red;">$-16,731</span></td>
<td id="avgPChPct" width="48"><span style="color: red;">-7.38%</span></td>
</tr>
<tr>
<td width="323">Median</td>
<td id="medOLP" width="211">$199,450</td>
<td id="medLP" width="146">$196,700</td>
<td id="medSP" width="148">$186,500</td>
<td id="medDom" width="119">114</td>
<td id="medPCh" width="147"><span style="color: red;">$-16,000</span></td>
<td id="medPChPct" width="48"><span style="color: red;">-6.81%</span></td>
</tr>
<tr>
<td width="323">Low</td>
<td id="lowOLP" width="211">$99,900</td>
<td id="lowLP" width="146">$99,900</td>
<td id="lowSP" width="148">$90,000</td>
<td id="lowDom" width="119">3</td>
<td id="lowPCh" width="147"><span style="color: red;">$-40,000</span></td>
<td id="lowPChPct" width="48"><span style="color: red;">-20%</span></td>
</tr>
<tr>
<td width="323">High</td>
<td id="hiOLP" width="211">$335,000</td>
<td id="hiLP" width="146">$299,900</td>
<td id="hiSP" width="148">$295,000</td>
<td id="hiDom" width="119">475</td>
<td id="hiPCh" width="147"><span style="color: red;">$-50</span></td>
<td id="hiPChPct" width="48"><span style="color: red;">-0.03%</span></td>
</tr>
<tr>
<td width="305">Number of listings</td>
<td width="211">42 w/Orig. Pr.</td>
<td id="ctLP" width="146">42</td>
<td width="148">42 sold</td>
<td id="ctDom" width="119">42</td>
<td colspan="2" width="200">21 changed price</td>
</tr>
</tbody>
</table>
</div>
<p><strong>In 2009 there were 61 sales in Hales Corners 141 days on the market with average price point of $201,678 down $15,895 or 7.9%</strong></p>
<div>
<table border="0" cellspacing="0" cellpadding="2" width="665" bordercolor="#111111">
<tbody>
<tr>
<td width="323" bgcolor="#f7f7c1"><strong>Milwaukee 2,724 Sales</strong></td>
<td width="240" bgcolor="#f7f7c1">Original Price</td>
<td width="136" bgcolor="#f7f7c1">List Price</td>
<td width="147" bgcolor="#f7f7c1">Sale Price</td>
<td width="110" bgcolor="#f7f7c1">CDOM</td>
<td width="150" bgcolor="#f7f7c1">Price Chg</td>
<td width="56" bgcolor="#f7f7c1">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="1192"> </td>
</tr>
<tr>
<td width="323">Average</td>
<td id="avgOLP" width="240">$111,801</td>
<td id="avgLP" width="136">$99,998</td>
<td id="avgSP" width="147">$95,184</td>
<td id="avgDom" width="110">117</td>
<td id="avgPCh" width="150"><span style="color: red;">$-14,401</span></td>
<td id="avgPChPct" width="56"><span style="color: red;">-14.82%</span></td>
</tr>
<tr>
<td width="323">Median</td>
<td id="medOLP" width="240">$99,900</td>
<td id="medLP" width="136">$89,900</td>
<td id="medSP" width="147">$85,000</td>
<td id="medDom" width="110">78</td>
<td id="medPCh" width="150"><span style="color: red;">$-10,000</span></td>
<td id="medPChPct" width="56"><span style="color: red;">-11.44%</span></td>
</tr>
<tr>
<td width="323">Low</td>
<td id="lowOLP" width="240">$82</td>
<td id="lowLP" width="136">$3,400</td>
<td id="lowSP" width="147">$2,000</td>
<td id="lowDom" width="110"><span style="color: red;">-6</span></td>
<td id="lowPCh" width="150"><span style="color: red;">$-271,900</span></td>
<td id="lowPChPct" width="56"><span style="color: red;">-50%</span></td>
</tr>
<tr>
<td width="323">High</td>
<td id="hiOLP" width="240">$7,150,011</td>
<td id="hiLP" width="136">$995,000</td>
<td id="hiSP" width="147">$925,000</td>
<td id="hiDom" width="110">1,059</td>
<td id="hiPCh" width="150">$21,888</td>
<td id="hiPChPct" width="56">85.71%</td>
</tr>
<tr>
<td width="305">Number of listings</td>
<td width="240">2,724 w/Orig. Pr.</td>
<td id="ctLP" width="136">2,724</td>
<td width="147">2,722 sold</td>
<td id="ctDom" width="110">2,724</td>
<td colspan="2" width="211">1,292 changed price</td>
</tr>
</tbody>
</table>
</div>
<p><strong>In 2009 there were 3,477 sales in Milwaukee 125 days on the market with average price point of $98,588 down $3,404 or 3.5%</strong></p>
<div>
<table border="0" cellspacing="0" cellpadding="2" width="666" bordercolor="#111111">
<tbody>
<tr>
<td width="323" bgcolor="#f7f7c1"><strong>Oak Creek 192 Sales</strong></td>
<td width="225" bgcolor="#f7f7c1">Original Price</td>
<td width="143" bgcolor="#f7f7c1">List Price</td>
<td width="145" bgcolor="#f7f7c1">Sale Price</td>
<td width="117" bgcolor="#f7f7c1">CDOM</td>
<td width="144" bgcolor="#f7f7c1">Price Chg</td>
<td width="56" bgcolor="#f7f7c1">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="1183">This Search (192 Matches)</td>
</tr>
<tr>
<td width="323">Average</td>
<td id="avgOLP" width="225">$229,688</td>
<td id="avgLP" width="143">$223,017</td>
<td id="avgSP" width="145">$214,324</td>
<td id="avgDom" width="117">117</td>
<td id="avgPCh" width="144"><span style="color: red;">$-14,190</span></td>
<td id="avgPChPct" width="56"><span style="color: red;">-6.21%</span></td>
</tr>
<tr>
<td width="323">Median</td>
<td id="medOLP" width="225">$224,900</td>
<td id="medLP" width="143">$218,750</td>
<td id="medSP" width="145">$209,000</td>
<td id="medDom" width="117">80</td>
<td id="medPCh" width="144"><span style="color: red;">$-12,500</span></td>
<td id="medPChPct" width="56"><span style="color: red;">-5.45%</span></td>
</tr>
<tr>
<td width="323">Low</td>
<td id="lowOLP" width="225">$109</td>
<td id="lowLP" width="143">$49,900</td>
<td id="lowSP" width="145">$43,000</td>
<td id="lowDom" width="117">4</td>
<td id="lowPCh" width="144"><span style="color: red;">$-74,650</span></td>
<td id="lowPChPct" width="56"><span style="color: red;">-28.59%</span></td>
</tr>
<tr>
<td width="323">High</td>
<td id="hiOLP" width="225">$524,900</td>
<td id="hiLP" width="143">$475,000</td>
<td id="hiSP" width="145">$430,000</td>
<td id="hiDom" width="117">890</td>
<td id="hiPCh" width="144">$82,600</td>
<td id="hiPChPct" width="56">47.23%</td>
</tr>
<tr>
<td width="305">Number of listings</td>
<td width="225">192 w/Orig. Pr.</td>
<td id="ctLP" width="143">192</td>
<td width="145">192 sold</td>
<td id="ctDom" width="117">192</td>
<td colspan="2" width="205">98 changed price</td>
</tr>
</tbody>
</table>
</div>
<p><strong>In 2009 there were 216 sales in Oak Creek 143 days on the market with average price point of $216,114 down $1,790 or 0.8%</strong></p>
<div>
<table border="0" cellspacing="0" cellpadding="2" width="668" bordercolor="#111111">
<tbody>
<tr>
<td width="323" bgcolor="#f7f7c1">River Hills 21 Sales</td>
<td width="192" bgcolor="#f7f7c1">Original Price</td>
<td width="158" bgcolor="#f7f7c1">List Price</td>
<td width="158" bgcolor="#f7f7c1">Sale Price</td>
<td width="107" bgcolor="#f7f7c1">CDOM</td>
<td width="172" bgcolor="#f7f7c1">Price Chg</td>
<td width="56" bgcolor="#f7f7c1">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="1196"> </td>
</tr>
<tr>
<td width="323">Average</td>
<td id="avgOLP" width="192">$1,122,667</td>
<td id="avgLP" width="158">$991,333</td>
<td id="avgSP" width="158">$855,167</td>
<td id="avgDom" width="107">305</td>
<td id="avgPCh" width="172"><span style="color: red;">$-183,867</span></td>
<td id="avgPChPct" width="56"><span style="color: red;">-13.51%</span></td>
</tr>
<tr>
<td width="323">Median</td>
<td id="medOLP" width="192">$725,000</td>
<td id="medLP" width="158">$659,900</td>
<td id="medSP" width="158">$620,000</td>
<td id="medDom" width="107">289</td>
<td id="medPCh" width="172"><span style="color: red;">$-100,000</span></td>
<td id="medPChPct" width="56"><span style="color: red;">-10.75%</span></td>
</tr>
<tr>
<td width="323">Low</td>
<td id="lowOLP" width="192">$335,000</td>
<td id="lowLP" width="158">$299,000</td>
<td id="lowSP" width="158">$290,000</td>
<td id="lowDom" width="107">17</td>
<td id="lowPCh" width="172"><span style="color: red;">$-1,205,000</span></td>
<td id="lowPChPct" width="56"><span style="color: red;">-43.04%</span></td>
</tr>
<tr>
<td width="323">High</td>
<td id="hiOLP" width="192">$3,995,000</td>
<td id="hiLP" width="158">$3,995,000</td>
<td id="hiSP" width="158">$3,100,000</td>
<td id="hiDom" width="107">965</td>
<td id="hiPCh" width="172"><span style="color: red;">$-24,900</span></td>
<td id="hiPChPct" width="56"><span style="color: red;">-4.98%</span></td>
</tr>
<tr>
<td width="305">Number of listings</td>
<td width="192">21 w/Orig. Pr.</td>
<td id="ctLP" width="158">21</td>
<td width="158">21 sold</td>
<td id="ctDom" width="107">21</td>
<td colspan="2" width="233">15 changed price</td>
</tr>
</tbody>
</table>
</div>
<p><strong>In 2009 there were 9 sales in River Hills 204 days on the market with average price point of $858,133</strong></p>
<div>
<table border="0" cellspacing="0" cellpadding="2" width="666" bordercolor="#111111">
<tbody>
<tr>
<td width="323" bgcolor="#f7f7c1"><strong>Shorewood 111 sales</strong></td>
<td width="211" bgcolor="#f7f7c1">Original Price</td>
<td width="159" bgcolor="#f7f7c1">List Price</td>
<td width="159" bgcolor="#f7f7c1">Sale Price</td>
<td width="109" bgcolor="#f7f7c1">CDOM</td>
<td width="148" bgcolor="#f7f7c1">Price Chg</td>
<td width="56" bgcolor="#f7f7c1">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="1195">This Search (111 Matches)</td>
</tr>
<tr>
<td width="323">Average</td>
<td id="avgOLP" width="211">$376,330</td>
<td id="avgLP" width="159">$366,738</td>
<td id="avgSP" width="159">$350,550</td>
<td id="avgDom" width="109">125</td>
<td id="avgPCh" width="148"><span style="color: red;">$-26,457</span></td>
<td id="avgPChPct" width="56"><span style="color: red;">-7.32%</span></td>
</tr>
<tr>
<td width="323">Median</td>
<td id="medOLP" width="211">$338,000</td>
<td id="medLP" width="159">$328,900</td>
<td id="medSP" width="159">$310,000</td>
<td id="medDom" width="109">82</td>
<td id="medPCh" width="148"><span style="color: red;">$-18,300</span></td>
<td id="medPChPct" width="56"><span style="color: red;">-5.2%</span></td>
</tr>
<tr>
<td width="323">Low</td>
<td id="lowOLP" width="211">$3,900</td>
<td id="lowLP" width="159">$160,000</td>
<td id="lowSP" width="159">$100,000</td>
<td id="lowDom" width="109">4</td>
<td id="lowPCh" width="148"><span style="color: red;">$-150,000</span></td>
<td id="lowPChPct" width="56"><span style="color: red;">-30.08%</span></td>
</tr>
<tr>
<td width="323">High</td>
<td id="hiOLP" width="211">$1,480,000</td>
<td id="hiLP" width="159">$1,480,000</td>
<td id="hiSP" width="159">$1,400,000</td>
<td id="hiDom" width="109">665</td>
<td id="hiPCh" width="148"><span style="color: red;">$-500</span></td>
<td id="hiPChPct" width="56"><span style="color: red;">-0.25%</span></td>
</tr>
<tr>
<td width="305">Number of listings</td>
<td width="211">111 w/Orig. Pr.</td>
<td id="ctLP" width="159">111</td>
<td width="159">111 sold</td>
<td id="ctDom" width="109">111</td>
<td colspan="2" width="209">52 changed price</td>
</tr>
</tbody>
</table>
</div>
<p><strong>In 2009 there were 89 sales in Shorewood 114 days on the market with average price point of $320,021 up $30,529 or 9.5%</strong></p>
<div>
<table border="0" cellspacing="0" cellpadding="2" width="664" bordercolor="#111111">
<tbody>
<tr>
<td width="323" bgcolor="#f7f7c1"><strong>South Milwaukee 127 Sales</strong></td>
<td width="225" bgcolor="#f7f7c1">Original Price</td>
<td width="143" bgcolor="#f7f7c1">List Price</td>
<td width="145" bgcolor="#f7f7c1">Sale Price</td>
<td width="117" bgcolor="#f7f7c1">CDOM</td>
<td width="144" bgcolor="#f7f7c1">Price Chg</td>
<td width="56" bgcolor="#f7f7c1">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="1183"> </td>
</tr>
<tr>
<td width="323">Average</td>
<td id="avgOLP" width="225">$165,749</td>
<td id="avgLP" width="143">$139,086</td>
<td id="avgSP" width="145">$132,376</td>
<td id="avgDom" width="117">159</td>
<td id="avgPCh" width="144"><span style="color: red;">$-17,420</span></td>
<td id="avgPChPct" width="56"><span style="color: red;">-12.48%</span></td>
</tr>
<tr>
<td width="323">Median</td>
<td id="medOLP" width="225">$149,900</td>
<td id="medLP" width="143">$139,900</td>
<td id="medSP" width="145">$135,000</td>
<td id="medDom" width="117">119</td>
<td id="medPCh" width="144"><span style="color: red;">$-13,100</span></td>
<td id="medPChPct" width="56"><span style="color: red;">-9.38%</span></td>
</tr>
<tr>
<td width="323">Low</td>
<td id="lowOLP" width="225">$30,000</td>
<td id="lowLP" width="143">$29,900</td>
<td id="lowSP" width="145">$27,000</td>
<td id="lowDom" width="117">3</td>
<td id="lowPCh" width="144"><span style="color: red;">$-79,600</span></td>
<td id="lowPChPct" width="56"><span style="color: red;">-47.27%</span></td>
</tr>
<tr>
<td width="323">High</td>
<td id="hiOLP" width="225">$2,219,900</td>
<td id="hiLP" width="143">$339,900</td>
<td id="hiSP" width="145">$295,000</td>
<td id="hiDom" width="117">858</td>
<td id="hiPCh" width="144">$4,000</td>
<td id="hiPChPct" width="56">2.76%</td>
</tr>
<tr>
<td width="305">Number of listings</td>
<td width="225">127 w/Orig. Pr.</td>
<td id="ctLP" width="143">127</td>
<td width="145">127 sold</td>
<td id="ctDom" width="117">127</td>
<td colspan="2" width="205">79 changed price</td>
</tr>
</tbody>
</table>
</div>
<p><strong>In 2009 there were 152 sales in South Milwaukee, 141 days on the market with average price point of $143,170 down $10,794 or 7.5%</strong></p>
<div>
<table border="0" cellspacing="0" cellpadding="2" width="664" bordercolor="#111111">
<tbody>
<tr>
<td width="323" bgcolor="#f7f7c1"><strong>St Francis 53 Sales</strong></td>
<td width="211" bgcolor="#f7f7c1">Original Price</td>
<td width="146" bgcolor="#f7f7c1">List Price</td>
<td width="148" bgcolor="#f7f7c1">Sale Price</td>
<td width="119" bgcolor="#f7f7c1">CDOM</td>
<td width="147" bgcolor="#f7f7c1">Price Chg</td>
<td width="56" bgcolor="#f7f7c1">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="1180"> </td>
</tr>
<tr>
<td width="323">Average</td>
<td id="avgOLP" width="211">$144,729</td>
<td id="avgLP" width="146">$138,707</td>
<td id="avgSP" width="148">$130,782</td>
<td id="avgDom" width="119">100</td>
<td id="avgPCh" width="147"><span style="color: red;">$-12,276</span></td>
<td id="avgPChPct" width="56"><span style="color: red;">-9.49%</span></td>
</tr>
<tr>
<td width="323">Median</td>
<td id="medOLP" width="211">$145,900</td>
<td id="medLP" width="146">$139,900</td>
<td id="medSP" width="148">$129,500</td>
<td id="medDom" width="119">84</td>
<td id="medPCh" width="147"><span style="color: red;">$-10,000</span></td>
<td id="medPChPct" width="56"><span style="color: red;">-6.76%</span></td>
</tr>
<tr>
<td width="323">Low</td>
<td id="lowOLP" width="211">$59,900</td>
<td id="lowLP" width="146">$33,900</td>
<td id="lowSP" width="148">$30,000</td>
<td id="lowDom" width="119">8</td>
<td id="lowPCh" width="147"><span style="color: red;">$-47,180</span></td>
<td id="lowPChPct" width="56"><span style="color: red;">-43.41%</span></td>
</tr>
<tr>
<td width="323">High</td>
<td id="hiOLP" width="211">$229,000</td>
<td id="hiLP" width="146">$229,000</td>
<td id="hiSP" width="148">$223,500</td>
<td id="hiDom" width="119">447</td>
<td id="hiPCh" width="147"><span style="color: red;">$-400</span></td>
<td id="hiPChPct" width="56"><span style="color: red;">-0.29%</span></td>
</tr>
<tr>
<td width="305">Number of listings</td>
<td width="211">53 w/Orig. Pr.</td>
<td id="ctLP" width="146">53</td>
<td width="148">53 sold</td>
<td id="ctDom" width="119">53</td>
<td colspan="2" width="208">26 changed price</td>
</tr>
</tbody>
</table>
</div>
<p><strong>In 2009 there were 61 sales in St Francis 107 days on the market with average price point of $128,895 up $1,897</strong></p>
<div>
<table border="0" cellspacing="0" cellpadding="2" width="666" bordercolor="#111111">
<tbody>
<tr>
<td width="323" bgcolor="#f7f7c1"><strong>Wauwatosa 422 Sales</strong></td>
<td width="225" bgcolor="#f7f7c1">Original Price</td>
<td width="143" bgcolor="#f7f7c1">List Price</td>
<td width="145" bgcolor="#f7f7c1">Sale Price</td>
<td width="117" bgcolor="#f7f7c1">CDOM</td>
<td width="144" bgcolor="#f7f7c1">Price Chg</td>
<td width="56" bgcolor="#f7f7c1">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="1183"> </td>
</tr>
<tr>
<td width="323">Average</td>
<td id="avgOLP" width="225">$231,752</td>
<td id="avgLP" width="143">$223,187</td>
<td id="avgSP" width="145">$214,443</td>
<td id="avgDom" width="117">108</td>
<td id="avgPCh" width="144"><span style="color: red;">$-17,293</span></td>
<td id="avgPChPct" width="56"><span style="color: red;">-8.14%</span></td>
</tr>
<tr>
<td width="323">Median</td>
<td id="medOLP" width="225">$209,900</td>
<td id="medLP" width="143">$199,900</td>
<td id="medSP" width="145">$192,950</td>
<td id="medDom" width="117">78</td>
<td id="medPCh" width="144"><span style="color: red;">$-14,000</span></td>
<td id="medPChPct" width="56"><span style="color: red;">-5.89%</span></td>
</tr>
<tr>
<td width="323">Low</td>
<td id="lowOLP" width="225">$50,000</td>
<td id="lowLP" width="143">$50,000</td>
<td id="lowSP" width="145">$55,500</td>
<td id="lowDom" width="117">1</td>
<td id="lowPCh" width="144"><span style="color: red;">$-69,900</span></td>
<td id="lowPChPct" width="56"><span style="color: red;">-39.94%</span></td>
</tr>
<tr>
<td width="323">High</td>
<td id="hiOLP" width="225">$749,900</td>
<td id="hiLP" width="143">$749,900</td>
<td id="hiSP" width="145">$695,000</td>
<td id="hiDom" width="117">874</td>
<td id="hiPCh" width="144">$10,000</td>
<td id="hiPChPct" width="56">2.27%</td>
</tr>
<tr>
<td width="305">Number of listings</td>
<td width="225">422 w/Orig. Pr.</td>
<td id="ctLP" width="143">422</td>
<td width="145">422 sold</td>
<td id="ctDom" width="117">422</td>
<td colspan="2" width="205">209 changed price</td>
</tr>
</tbody>
</table>
</div>
<p><strong>In 2009 there were 466 sales in Wauwatosa 107 days on the market with average price point of $208,995 up $5,448 or 2.6%</strong></p>
<div>
<table border="0" cellspacing="0" cellpadding="2" width="667" bordercolor="#111111">
<tbody>
<tr>
<td width="323" bgcolor="#f7f7c1"><strong>West Allis 445 Sales</strong></td>
<td width="222" bgcolor="#f7f7c1">Original Price</td>
<td width="141" bgcolor="#f7f7c1">List Price</td>
<td width="144" bgcolor="#f7f7c1">Sale Price</td>
<td width="115" bgcolor="#f7f7c1">CDOM</td>
<td width="155" bgcolor="#f7f7c1">Price Chg</td>
<td width="56" bgcolor="#f7f7c1">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="1186">This Search (445 Matches)</td>
</tr>
<tr>
<td width="323">Average</td>
<td id="avgOLP" width="222">$140,572</td>
<td id="avgLP" width="141">$132,404</td>
<td id="avgSP" width="144">$126,700</td>
<td id="avgDom" width="115">125</td>
<td id="avgPCh" width="155"><span style="color: red;">$-13,652</span></td>
<td id="avgPChPct" width="56"><span style="color: red;">-10%</span></td>
</tr>
<tr>
<td width="323">Median</td>
<td id="medOLP" width="222">$139,900</td>
<td id="medLP" width="141">$133,000</td>
<td id="medSP" width="144">$129,900</td>
<td id="medDom" width="115">90</td>
<td id="medPCh" width="155"><span style="color: red;">$-10,000</span></td>
<td id="medPChPct" width="56"><span style="color: red;">-7.15%</span></td>
</tr>
<tr>
<td width="323">Low</td>
<td id="lowOLP" width="222">$29,900</td>
<td id="lowLP" width="141">$24,900</td>
<td id="lowSP" width="144">$15,000</td>
<td id="lowDom" width="115">1</td>
<td id="lowPCh" width="155"><span style="color: red;">$-118,000</span></td>
<td id="lowPChPct" width="56"><span style="color: red;">-48.03%</span></td>
</tr>
<tr>
<td width="323">High</td>
<td id="hiOLP" width="222">$387,900</td>
<td id="hiLP" width="141">$269,900</td>
<td id="hiSP" width="144">$264,900</td>
<td id="hiDom" width="115">817</td>
<td id="hiPCh" width="155">$30,000</td>
<td id="hiPChPct" width="56">13.64%</td>
</tr>
<tr>
<td width="305">Number of listings</td>
<td width="222">445 w/Orig. Pr.</td>
<td id="ctLP" width="141">445</td>
<td width="144">445 sold</td>
<td id="ctDom" width="115">445</td>
<td colspan="2" width="216">252 changed price</td>
</tr>
</tbody>
</table>
</div>
<p><strong>In 2009 there were 531 sales in West Allis 123 days on the market with average price point of $128,952 down $2,252</strong> </p>
<div>
<table border="0" cellspacing="0" cellpadding="2" width="667" bordercolor="#111111">
<tbody>
<tr>
<td width="323" bgcolor="#f7f7c1"><strong>Whitefish Bay 181 Sales</strong></td>
<td width="211" bgcolor="#f7f7c1">Original Price</td>
<td width="159" bgcolor="#f7f7c1">List Price</td>
<td width="159" bgcolor="#f7f7c1">Sale Price</td>
<td width="109" bgcolor="#f7f7c1">CDOM</td>
<td width="148" bgcolor="#f7f7c1">Price Chg</td>
<td width="56" bgcolor="#f7f7c1">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="1195"> </td>
</tr>
<tr>
<td width="323">Average</td>
<td id="avgOLP" width="211">$403,648</td>
<td id="avgLP" width="159">$388,834</td>
<td id="avgSP" width="159">$370,001</td>
<td id="avgDom" width="109">116</td>
<td id="avgPCh" width="148"><span style="color: red;">$-29,466</span></td>
<td id="avgPChPct" width="56"><span style="color: red;">-7.36%</span></td>
</tr>
<tr>
<td width="323">Median</td>
<td id="medOLP" width="211">$329,900</td>
<td id="medLP" width="159">$324,900</td>
<td id="medSP" width="159">$308,500</td>
<td id="medDom" width="109">87</td>
<td id="medPCh" width="148"><span style="color: red;">$-20,000</span></td>
<td id="medPChPct" width="56"><span style="color: red;">-5.89%</span></td>
</tr>
<tr>
<td width="323">Low</td>
<td id="lowOLP" width="211">$149,000</td>
<td id="lowLP" width="159">$119,900</td>
<td id="lowSP" width="159">$105,000</td>
<td id="lowDom" width="109">1</td>
<td id="lowPCh" width="148"><span style="color: red;">$-182,000</span></td>
<td id="lowPChPct" width="56"><span style="color: red;">-29.43%</span></td>
</tr>
<tr>
<td width="323">High</td>
<td id="hiOLP" width="211">$2,000,000</td>
<td id="hiLP" width="159">$2,000,000</td>
<td id="hiSP" width="159">$1,985,000</td>
<td id="hiDom" width="109">822</td>
<td id="hiPCh" width="148">$100</td>
<td id="hiPChPct" width="56">0.03%</td>
</tr>
<tr>
<td width="305">Number of listings</td>
<td width="211">181 w/Orig. Pr.</td>
<td id="ctLP" width="159">181</td>
<td width="159">181 sold</td>
<td id="ctDom" width="109">181</td>
<td colspan="2" width="209">91 changed price</td>
</tr>
</tbody>
</table>
</div>
<p><strong>In 2009 there were 212 sales in Whitefish bay, 108 days on the market with average price point of $373,236 down $3,235</strong></p>
<p> <strong><a href="http://www.mywisconsinrealestateblog.com/2011/01/10/waukesha-county-sales-report-for-2010/">See report for Waukesha County</a></strong></p>
<h4>Incoming search terms for the article:</h4><ul><li><a href="http://www.mywisconsinrealestateblog.com/2011/01/12/milwaukee-county-sales-report-2010/" title="2010 real estate sales milwaukee">2010 real estate sales milwaukee</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/01/12/milwaukee-county-sales-report-2010/" title="milwaukee average time on market">milwaukee average time on market</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/01/12/milwaukee-county-sales-report-2010/" title="milwaukee county home sale price">milwaukee county home sale price</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/01/12/milwaukee-county-sales-report-2010/" title="milwaukee county home sales data">milwaukee county home sales data</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/01/12/milwaukee-county-sales-report-2010/" title="Milwaukee County Real Estate Sales December 2010">Milwaukee County Real Estate Sales December 2010</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/01/12/milwaukee-county-sales-report-2010/" title="milwaukee county real estate transactions">milwaukee county real estate transactions</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/01/12/milwaukee-county-sales-report-2010/" title="milwaukee home sales data 2010">milwaukee home sales data 2010</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/01/12/milwaukee-county-sales-report-2010/" title="milwaukee homes average days on market">milwaukee homes average days on market</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/01/12/milwaukee-county-sales-report-2010/" title="Milwaukee real estate average days on market">Milwaukee real estate average days on market</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/01/12/milwaukee-county-sales-report-2010/" title="milwukee county wisconsin real estate transactions">milwukee county wisconsin real estate transactions</a></li></ul><!-- SEO SearchTerms Tagging 2 Plugin -->]]></content:encoded>
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		<title>Jefferson County 2010 Sales report</title>
		<link>http://www.mywisconsinrealestateblog.com/2011/01/10/jefferson-county-2010-sales-report/</link>
		<comments>http://www.mywisconsinrealestateblog.com/2011/01/10/jefferson-county-2010-sales-report/#comments</comments>
		<pubDate>Mon, 10 Jan 2011 22:49:08 +0000</pubDate>
		<dc:creator>bradkoenig</dc:creator>
				<category><![CDATA[2010 Sales Data]]></category>
		<category><![CDATA[Home Selling]]></category>
		<category><![CDATA[Market updates]]></category>
		<category><![CDATA[Pricing your home in todays market]]></category>
		<category><![CDATA[home sales]]></category>
		<category><![CDATA[market reports]]></category>
		<category><![CDATA[selling your home]]></category>

		<guid isPermaLink="false">http://www.mywisconsinrealestateblog.com/?p=389</guid>
		<description><![CDATA[Here are some sales data to compare 2010 vs 2009 for Jefferson county. I broke the numbers down into different price points. This is for all of Jefferson county. Keep in mind each city has stats of their own. This report is for single family only. …or sign up for a monthly email report that is [...]]]></description>
			<content:encoded><![CDATA[<p></p><h4>Here are some sales data to compare 2010 vs 2009 for Jefferson county. I broke the numbers down into different price points. This is for all of Jefferson county. Keep in mind each city has stats of their own. This report is for single family only.</h4>
<p><strong><a href="http://www.homeinsight.com/Widget/default.asp?P1J3UPWCL7ZK" target="_blank"><br />
…or sign up for a monthly email report that is specific to <em>your </em>neighborhood!</a>  </strong></p>
<p>See blog post<br />
 <a href="http://mywisconsinrealestateblog.com/post/1218462/pricing-your-home-in-todays-market"></a></p>
<p><a href="http://mywisconsinrealestateblog.com/post/1218462/pricing-your-home-in-todays-market" target="_blank">http://mywisconsinrealestateblog.com/post/1218462/pricing-your-home-in-todays-market</a></p>
<p> If you are curious on the value of your home visit<br />
<a href="http://www.yourlocalhomevalue.com/" target="_blank"><br />
www.YourLocalHomeValue.com</a></p>
<p><strong>Average sale price has lowered for $7,382 or 4% decline since 2009.  Average days on the market has also went up 5 days.  Overall homes are selling if they are priced aggressive and are clean and updated.</strong></p>
<p><strong>Here is the breakdown per major city. Fort Atkinson 79, Ixonia 35, Jefferson 54, Johnson Creek 35, Lake Mills 46, Sullivan 17, Watertown 105</strong></p>
<div>
<table border="0" cellspacing="0" cellpadding="2" width="654" bordercolor="#111111">
<tbody>
<tr>
<td width="570" bgcolor="#f7f7c1"><strong>This Search (465 Matches) Jefferson county 2010</strong></td>
<td width="167" bgcolor="#f7f7c1">Original Price</td>
<td width="105" bgcolor="#f7f7c1">List Price</td>
<td width="108" bgcolor="#f7f7c1">Sale Price</td>
<td width="86" bgcolor="#f7f7c1">CDOM</td>
<td width="117" bgcolor="#f7f7c1">Price Chg</td>
<td width="71" bgcolor="#f7f7c1">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="1248"> </td>
</tr>
<tr>
<td width="570">Average</td>
<td id="avgOLP" width="167">$189,664</td>
<td id="avgLP" width="105">$180,055</td>
<td id="avgSP" width="108">$169,977</td>
<td id="avgDom" width="86">173</td>
<td id="avgPCh" width="117"><span style="color: red;">$-18,795</span></td>
<td id="avgPChPct" width="71"><span style="color: red;">-10.42%</span></td>
</tr>
<tr>
<td width="570">Median</td>
<td id="medOLP" width="167">$169,900</td>
<td id="medLP" width="105">$165,900</td>
<td id="medSP" width="108">$159,900</td>
<td id="medDom" width="86">118</td>
<td id="medPCh" width="117"><span style="color: red;">$-15,000</span></td>
<td id="medPChPct" width="71"><span style="color: red;">-8.42%</span></td>
</tr>
<tr>
<td width="570">Low</td>
<td id="lowOLP" width="167">$39,900</td>
<td id="lowLP" width="105">$32,900</td>
<td id="lowSP" width="108">$20,000</td>
<td id="lowDom" width="86">1</td>
<td id="lowPCh" width="117"><span style="color: red;">$-115,100</span></td>
<td id="lowPChPct" width="71"><span style="color: red;">-45.12%</span></td>
</tr>
<tr>
<td width="570">High</td>
<td id="hiOLP" width="167">$980,000</td>
<td id="hiLP" width="105">$980,000</td>
<td id="hiSP" width="108">$729,950</td>
<td id="hiDom" width="86">1,386</td>
<td id="hiPCh" width="117">$100,000</td>
<td id="hiPChPct" width="71">91.74%</td>
</tr>
<tr>
<td width="552">Number of listings</td>
<td width="167">465 w/Orig. Pr.</td>
<td id="ctLP" width="105">465</td>
<td width="108">465 sold</td>
<td id="ctDom" width="86">465</td>
<td colspan="2" width="192">235 changed price</td>
</tr>
</tbody>
</table>
</div>
<p> </p>
<div>
<table border="0" cellspacing="0" cellpadding="2" width="657" bordercolor="#111111">
<tbody>
<tr>
<td width="570" bgcolor="#f7f7c1"><strong>This Search (547 Matches) Jefferson county 2009</strong></td>
<td width="167" bgcolor="#f7f7c1">Original Price</td>
<td width="105" bgcolor="#f7f7c1">List Price</td>
<td width="108" bgcolor="#f7f7c1">Sale Price</td>
<td width="86" bgcolor="#f7f7c1">CDOM</td>
<td width="117" bgcolor="#f7f7c1">Price Chg</td>
<td width="64" bgcolor="#f7f7c1">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="1241"> </td>
</tr>
<tr>
<td width="570">Average</td>
<td id="avgOLP" width="167">$196,501</td>
<td id="avgLP" width="105">$186,688</td>
<td id="avgSP" width="108">$177,359</td>
<td id="avgDom" width="86">168</td>
<td id="avgPCh" width="117"><span style="color: red;">$-20,295</span></td>
<td id="avgPChPct" width="64"><span style="color: red;">-9.97%</span></td>
</tr>
<tr>
<td width="570">Median</td>
<td id="medOLP" width="167">$179,900</td>
<td id="medLP" width="105">$174,900</td>
<td id="medSP" width="108">$167,500</td>
<td id="medDom" width="86">121</td>
<td id="medPCh" width="117"><span style="color: red;">$-14,600</span></td>
<td id="medPChPct" width="64"><span style="color: red;">-8.29%</span></td>
</tr>
<tr>
<td width="570">Low</td>
<td id="lowOLP" width="167">$1,220</td>
<td id="lowLP" width="105">$32,900</td>
<td id="lowSP" width="108">$30,000</td>
<td id="lowDom" width="86">1</td>
<td id="lowPCh" width="117"><span style="color: red;">$-299,100</span></td>
<td id="lowPChPct" width="64"><span style="color: red;">-49.28%</span></td>
</tr>
<tr>
<td width="570">High</td>
<td id="hiOLP" width="167">$995,000</td>
<td id="hiLP" width="105">$995,000</td>
<td id="hiSP" width="108">$750,000</td>
<td id="hiDom" width="86">889</td>
<td id="hiPCh" width="117">$80,000</td>
<td id="hiPChPct" width="64">43.24%</td>
</tr>
<tr>
<td width="552">Number of listings</td>
<td width="167">547 w/Orig. Pr.</td>
<td id="ctLP" width="105">547</td>
<td width="108">547 sold</td>
<td id="ctDom" width="86">547</td>
<td colspan="2" width="185">285 changed price</td>
</tr>
</tbody>
</table>
</div>
<p><strong>Here is the breakdown per different price points.</strong></p>
<div>
<table border="0" cellspacing="0" cellpadding="2" width="656" bordercolor="#111111">
<tbody>
<tr>
<td width="558" bgcolor="#f7f7c1"><strong>This Search (198 Matches) 2010 under 150,000</strong></td>
<td width="172" bgcolor="#f7f7c1">Original Price</td>
<td width="109" bgcolor="#f7f7c1">List Price</td>
<td width="111" bgcolor="#f7f7c1">Sale Price</td>
<td width="88" bgcolor="#f7f7c1">CDOM</td>
<td width="110" bgcolor="#f7f7c1">Price Chg</td>
<td width="60" bgcolor="#f7f7c1">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="1232"> </td>
</tr>
<tr>
<td width="558">Average</td>
<td id="avgOLP" width="172">$121,013</td>
<td id="avgLP" width="109">$111,152</td>
<td id="avgSP" width="111">$103,805</td>
<td id="avgDom" width="88">151</td>
<td id="avgPCh" width="110"><span style="color: red;">$-16,975</span></td>
<td id="avgPChPct" width="60"><span style="color: red;">-13.77%</span></td>
</tr>
<tr>
<td width="558">Median</td>
<td id="medOLP" width="172">$124,900</td>
<td id="medLP" width="109">$117,700</td>
<td id="medSP" width="111">$109,950</td>
<td id="medDom" width="88">112</td>
<td id="medPCh" width="110"><span style="color: red;">$-14,950</span></td>
<td id="medPChPct" width="60"><span style="color: red;">-11.13%</span></td>
</tr>
<tr>
<td width="558">Low</td>
<td id="lowOLP" width="172">$39,900</td>
<td id="lowLP" width="109">$32,900</td>
<td id="lowSP" width="111">$20,000</td>
<td id="lowDom" width="88">1</td>
<td id="lowPCh" width="110"><span style="color: red;">$-85,000</span></td>
<td id="lowPChPct" width="60"><span style="color: red;">-45.12%</span></td>
</tr>
<tr>
<td width="558">High</td>
<td id="hiOLP" width="172">$235,000</td>
<td id="hiLP" width="109">$150,000</td>
<td id="hiSP" width="111">$150,000</td>
<td id="hiDom" width="88">881</td>
<td id="hiPCh" width="110"><span style="color: red;">$-2,000</span></td>
<td id="hiPChPct" width="60"><span style="color: red;">-1.49%</span></td>
</tr>
<tr>
<td width="540">Number of listings</td>
<td width="172">198 w/Orig. Pr.</td>
<td id="ctLP" width="109">198</td>
<td width="111">198 sold</td>
<td id="ctDom" width="88">198</td>
<td colspan="2" width="174">112 changed price</td>
</tr>
</tbody>
</table>
</div>
<p><strong>2009 there were 203 sales with average sale price $107,985 and 148 days on the market</strong></p>
<div>
<table border="0" cellspacing="0" cellpadding="2" width="658" bordercolor="#111111">
<tbody>
<tr>
<td width="585" bgcolor="#f7f7c1"><strong>This Search (206 Matches) 2010 sales $150-250,000 </strong></td>
<td width="164" bgcolor="#f7f7c1">Original Price</td>
<td width="103" bgcolor="#f7f7c1">List Price</td>
<td width="105" bgcolor="#f7f7c1">Sale Price</td>
<td width="84" bgcolor="#f7f7c1">CDOM</td>
<td width="114" bgcolor="#f7f7c1">Price Chg</td>
<td width="55" bgcolor="#f7f7c1">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="1234"> </td>
</tr>
<tr>
<td width="585">Average</td>
<td id="avgOLP" width="164">$202,871</td>
<td id="avgLP" width="103">$193,919</td>
<td id="avgSP" width="105">$187,460</td>
<td id="avgDom" width="84">182</td>
<td id="avgPCh" width="114"><span style="color: red;">$-18,259</span></td>
<td id="avgPChPct" width="55"><span style="color: red;">-7.57%</span></td>
</tr>
<tr>
<td width="585">Median</td>
<td id="medOLP" width="164">$199,900</td>
<td id="medLP" width="103">$189,900</td>
<td id="medSP" width="105">$185,000</td>
<td id="medDom" width="84">122</td>
<td id="medPCh" width="114"><span style="color: red;">$-13,000</span></td>
<td id="medPChPct" width="55"><span style="color: red;">-6.13%</span></td>
</tr>
<tr>
<td width="585">Low</td>
<td id="lowOLP" width="164">$109,000</td>
<td id="lowLP" width="103">$150,000</td>
<td id="lowSP" width="105">$120,000</td>
<td id="lowDom" width="84">1</td>
<td id="lowPCh" width="114"><span style="color: red;">$-115,100</span></td>
<td id="lowPChPct" width="55"><span style="color: red;">-41.85%</span></td>
</tr>
<tr>
<td width="585">High</td>
<td id="hiOLP" width="164">$289,900</td>
<td id="hiLP" width="103">$250,000</td>
<td id="hiSP" width="105">$535,000</td>
<td id="hiDom" width="84">1,186</td>
<td id="hiPCh" width="114">$100,000</td>
<td id="hiPChPct" width="55">91.74%</td>
</tr>
<tr>
<td width="567">Number of listings</td>
<td width="164">206 w/Orig. Pr.</td>
<td id="ctLP" width="103">206</td>
<td width="105">206 sold</td>
<td id="ctDom" width="84">206</td>
</tr>
</tbody>
</table>
</div>
<p><strong>2009 there were 281 sales with average sale price of $189,452 and 172 days on the market</strong></p>
<div>
<table border="0" cellspacing="0" cellpadding="2" width="658" bordercolor="#111111">
<tbody>
<tr>
<td width="571" bgcolor="#f7f7c1"><strong>This Search (64 Matches) 2010 Sales $250,000+</strong></td>
<td width="158" bgcolor="#f7f7c1">Original Price</td>
<td width="109" bgcolor="#f7f7c1">List Price</td>
<td width="111" bgcolor="#f7f7c1">Sale Price</td>
<td width="89" bgcolor="#f7f7c1">CDOM</td>
<td width="110" bgcolor="#f7f7c1">Price Chg</td>
<td width="47" bgcolor="#f7f7c1">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="1219"> </td>
</tr>
<tr>
<td width="571">Average</td>
<td id="avgOLP" width="158">$361,276</td>
<td id="avgLP" width="109">$348,754</td>
<td id="avgSP" width="111">$318,831</td>
<td id="avgDom" width="89">212</td>
<td id="avgPCh" width="110"><span style="color: red;">$-32,056</span></td>
<td id="avgPChPct" width="47"><span style="color: red;">-7.95%</span></td>
</tr>
<tr>
<td width="571">Median</td>
<td id="medOLP" width="158">$299,900</td>
<td id="medLP" width="109">$294,450</td>
<td id="medSP" width="111">$279,500</td>
<td id="medDom" width="89">142</td>
<td id="medPCh" width="110"><span style="color: red;">$-30,000</span></td>
<td id="medPChPct" width="47"><span style="color: red;">-8.45%</span></td>
</tr>
<tr>
<td width="571">Low</td>
<td id="lowOLP" width="158">$250,967</td>
<td id="lowLP" width="109">$250,000</td>
<td id="lowSP" width="111">$221,500</td>
<td id="lowDom" width="89">1</td>
<td id="lowPCh" width="110"><span style="color: red;">$-79,000</span></td>
<td id="lowPChPct" width="47"><span style="color: red;">-20.5%</span></td>
</tr>
<tr>
<td width="571">High</td>
<td id="hiOLP" width="158">$980,000</td>
<td id="hiLP" width="109">$980,000</td>
<td id="hiSP" width="111">$729,950</td>
<td id="hiDom" width="89">1,386</td>
<td id="hiPCh" width="110">$24,050</td>
<td id="hiPChPct" width="47">9.25%</td>
</tr>
<tr>
<td width="553">Number of listings</td>
<td width="158">64 w/Orig. Pr.</td>
<td id="ctLP" width="109">64</td>
<td width="111">64 sold</td>
<td id="ctDom" width="89">64</td>
<td colspan="2" width="161">25 changed price</td>
</tr>
</tbody>
</table>
</div>
<p><strong>2009 there were 72 sales with average sale price of $326,478 and 212 days on the market.</strong></p>
<h4>Incoming search terms for the article:</h4><ul><li><a href="http://www.mywisconsinrealestateblog.com/2011/01/10/jefferson-county-2010-sales-report/" title="2011 Home sale stats Jefferson County Wisconsin">2011 Home sale stats Jefferson County Wisconsin</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/01/10/jefferson-county-2010-sales-report/" title="home sales jefferson county wisconsin 2010">home sales jefferson county wisconsin 2010</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/01/10/jefferson-county-2010-sales-report/" title="jefferson county average list price">jefferson county average list price</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/01/10/jefferson-county-2010-sales-report/" title="jefferson county wi real estate sales 2010">jefferson county wi real estate sales 2010</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/01/10/jefferson-county-2010-sales-report/" title="number of home sales in jefferson co wi 2010">number of home sales in jefferson co wi 2010</a></li></ul><!-- SEO SearchTerms Tagging 2 Plugin -->]]></content:encoded>
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		<item>
		<title>Waukesha county Sales report for 2010</title>
		<link>http://www.mywisconsinrealestateblog.com/2011/01/10/waukesha-county-sales-report-for-2010/</link>
		<comments>http://www.mywisconsinrealestateblog.com/2011/01/10/waukesha-county-sales-report-for-2010/#comments</comments>
		<pubDate>Mon, 10 Jan 2011 21:19:26 +0000</pubDate>
		<dc:creator>bradkoenig</dc:creator>
				<category><![CDATA[2010 Sales Data]]></category>
		<category><![CDATA[Market updates]]></category>
		<category><![CDATA[home sales]]></category>
		<category><![CDATA[market reports]]></category>
		<category><![CDATA[selling your home]]></category>

		<guid isPermaLink="false">http://www.mywisconsinrealestateblog.com/?p=374</guid>
		<description><![CDATA[  Here are some sales data to compare 2010 vs 2009 for Waukesha county. I broke the numbers down into different price points. This is for all of Waukesha county. Keep in mind each city has stats of their own. This report is for single family only. …or sign up for a monthly email report that [...]]]></description>
			<content:encoded><![CDATA[<p></p><p> </p>
<h4>Here are some sales data to compare 2010 vs 2009 for Waukesha county. I broke the numbers down into different price points. This is for all of Waukesha county. Keep in mind each city has stats of their own. This report is for single family only.</h4>
<p><strong><a href="http://www.homeinsight.com/Widget/default.asp?P1J3UPWCL7ZK" target="_blank"><br />
…or sign up for a monthly email report that is specific to <em>your </em>neighborhood!</a>  </strong></p>
<p>See blog post<br />
<a href="http://mywisconsinrealestateblog.com/post/1218462/pricing-your-home-in-todays-market"></p>
<p>http://mywisconsinrealestateblog.com/post/1218462/pricing-your-home-in-todays-market</a></p>
<p> If you are curious on the value of your home visit<br />
<a href="http://www.yourlocalhomevalue.com/" target="_blank"><br />
www.YourLocalHomeValue.com</a></p>
<table border="0" cellspacing="0" cellpadding="2" width="658" bordercolor="#111111">
<tbody>
<tr id="thisTR" bgcolor="#f7f7c1">
<td id="thisAddr" width="323"><strong>This Search (2,826 Matches) Total Sales 2010</strong></td>
<td id="thisOLP" width="122">Original Price</td>
<td id="thisLP" width="106">List Price</td>
<td id="thisSP" width="100">Sale Price</td>
<td id="thisDom" width="56">CDOM</td>
<td id="thisPCh" width="129">Price Chg</td>
<td id="thisPChPct" width="55">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="921"> </td>
</tr>
<tr>
<td width="323">Average</td>
<td id="avgOLP" width="122">$321,761</td>
<td id="avgLP" width="106">$305,925</td>
<td id="avgSP" width="100">$289,461</td>
<td id="avgDom" width="56">147</td>
<td id="avgPCh" width="129">$-26,315</td>
<td id="avgPChPct" width="55">-7.55%</td>
</tr>
<tr>
<td width="323">Median</td>
<td id="medOLP" width="122">$264,850</td>
<td id="medLP" width="106">$254,900</td>
<td id="medSP" width="100">$247,250</td>
<td id="medDom" width="56">94</td>
<td id="medPCh" width="129">$-17,000</td>
<td id="medPChPct" width="55">-6.25%</td>
</tr>
<tr>
<td width="323">Low</td>
<td id="lowOLP" width="122">$1</td>
<td id="lowLP" width="106">$27,000</td>
<td id="lowSP" width="100">$31,000</td>
<td id="lowDom" width="56">1</td>
<td id="lowPCh" width="129">$-400,000</td>
<td id="lowPChPct" width="55">-46.7%</td>
</tr>
<tr>
<td width="323">High</td>
<td id="hiOLP" width="122">$6,678,000</td>
<td id="hiLP" width="106">$2,299,000</td>
<td id="hiSP" width="100">$2,000,000</td>
<td id="hiDom" width="56">1,372</td>
<td id="hiPCh" width="129">$200,000</td>
<td id="hiPChPct" width="55">133.42%</td>
</tr>
<tr>
<td width="305">Number of listings</td>
<td width="122">2,826 w/Orig. Pr.</td>
<td id="ctLP" width="106">2,826</td>
<td width="100">2,826 sold</td>
<td id="ctDom" width="56">2,826</td>
<td colspan="2" width="189">1,417 changed price</td>
</tr>
</tbody>
</table>
<h2>Compared to 2009, sales were only down by 257. The interesting part is that the average sale price increased $3,120 in 2010. Here is the breakdown per major city</h2>
<p><strong>Brookfield 343, Delafield 101, Menomonee Falls 278. Merton 91, Mukwonago 101, Muskego 200, New Berlin 265, Oconomowoc 263, Pewaukee 143, Sussex 73, Waukesha 491</strong><br />
 </p>
<div>
<table border="0" cellspacing="0" cellpadding="2" width="657" bordercolor="#111111">
<tbody>
<tr id="thisTR" bgcolor="#f7f7c1">
<td id="thisAddr" width="323"><strong>This Search (3,083 Matches) Total sales 2009</strong></td>
<td id="thisOLP" width="121">Original Price</td>
<td id="thisLP" width="108">List Price</td>
<td id="thisSP" width="101">Sale Price</td>
<td id="thisDom" width="57">CDOM</td>
<td id="thisPCh" width="127">Price Chg</td>
<td id="thisPChPct" width="55">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="922"> </td>
</tr>
<tr>
<td width="323">Average</td>
<td id="avgOLP" width="121">$316,471</td>
<td id="avgLP" width="108">$301,976</td>
<td id="avgSP" width="101">$286,341</td>
<td id="avgDom" width="57">148</td>
<td id="avgPCh" width="127">$-26,982</td>
<td id="avgPChPct" width="55">-7.59%</td>
</tr>
<tr>
<td width="323">Median</td>
<td id="medOLP" width="121">$255,000</td>
<td id="medLP" width="108">$249,500</td>
<td id="medSP" width="101">$239,678</td>
<td id="medDom" width="57">97</td>
<td id="medPCh" width="127">$-16,300</td>
<td id="medPChPct" width="55">-5.85%</td>
</tr>
<tr>
<td width="323">Low</td>
<td id="lowOLP" width="121">$2</td>
<td id="lowLP" width="108">$45,000</td>
<td id="lowSP" width="101">$40,000</td>
<td id="lowDom" width="57">-14</td>
<td id="lowPCh" width="127">$-700,100</td>
<td id="lowPChPct" width="55">-46.67%</td>
</tr>
<tr>
<td width="323">High</td>
<td id="hiOLP" width="121">$2,999,000</td>
<td id="hiLP" width="108">$2,955,000</td>
<td id="hiSP" width="101">$2,490,000</td>
<td id="hiDom" width="57">1,022</td>
<td id="hiPCh" width="127">$100,000</td>
<td id="hiPChPct" width="55">145.14%</td>
</tr>
<tr>
<td width="305">Number of listings</td>
<td width="121">3,083 w/Orig. Pr.</td>
<td id="ctLP" width="108">3,083</td>
<td width="101">3,083 sold</td>
<td id="ctDom" width="57">3,083</td>
<td colspan="2" width="187">1,526 changed price</td>
</tr>
</tbody>
</table>
</div>
<p> </p>
<h2>Here is the breakdown for 2010 in different price ranges. </h2>
<div>
<div>
<table border="0" cellspacing="0" cellpadding="2" width="653" align="left" bordercolor="#111111">
<tbody>
<tr id="thisTR" bgcolor="#f7f7c1">
<td id="thisAddr" width="323"><strong>This Search (1,406 Matches) Under 250,000</strong></td>
<td id="thisOLP" width="120">Original Price</td>
<td id="thisLP" width="105">List Price</td>
<td id="thisSP" width="105">Sale Price</td>
<td id="thisDom" width="55">CDOM</td>
<td id="thisPCh" width="116">Price Chg</td>
<td id="thisPChPct" width="47">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="901"> </td>
</tr>
<tr>
<td width="323">Average</td>
<td id="avgOLP" width="120">$199,357</td>
<td id="avgLP" width="105">$190,908</td>
<td id="avgSP" width="105">$183,409</td>
<td id="avgDom" width="55">116</td>
<td id="avgPCh" width="116">$-17,476</td>
<td id="avgPChPct" width="47">-8.56%</td>
</tr>
<tr>
<td width="323">Median</td>
<td id="medOLP" width="120">$204,900</td>
<td id="medLP" width="105">$199,000</td>
<td id="medSP" width="105">$189,000</td>
<td id="medDom" width="55">77</td>
<td id="medPCh" width="116">$-14,900</td>
<td id="medPChPct" width="47">-6.91%</td>
</tr>
<tr>
<td width="323">Low</td>
<td id="lowOLP" width="120">$239</td>
<td id="lowLP" width="105">$27,000</td>
<td id="lowSP" width="105">$31,000</td>
<td id="lowDom" width="55">1</td>
<td id="lowPCh" width="116">$-100,000</td>
<td id="lowPChPct" width="47">-46.7%</td>
</tr>
<tr>
<td width="323">High</td>
<td id="hiOLP" width="120">$349,000</td>
<td id="hiLP" width="105">$275,000</td>
<td id="hiSP" width="105">$260,000</td>
<td id="hiDom" width="55">1,087</td>
<td id="hiPCh" width="116">$100,000</td>
<td id="hiPChPct" width="47">79.43%</td>
</tr>
<tr>
<td width="305">Number of listings</td>
<td width="120">1,406 w/Orig. Pr.</td>
<td id="ctLP" width="105">1,406</td>
<td width="105">1,406 sold</td>
<td id="ctDom" width="55">1,406</td>
<td colspan="2" width="168">719 changed price</td>
</tr>
</tbody>
</table>
</div>
</div>
<h3> </h3>
<h3> </h3>
<p> </p>
<h3> </h3>
<h3> </h3>
<h3> </h3>
<h3>Brookfield 145, Delafield 14, Eagle 19, Hartland 35, Menomonee Falls 144, Merton 17, Muskego 106, Mukwonago 53, New Berlin 171, Oconomowoc 125, Pewaukee 49, Sussex 28, Waukesha 364</h3>
<h3>Sales from 2009 in the same price point were 1620 with average sale price of $188,752<br />
and average days on the market the same at 117.</h3>
<div>
<div>
<table border="0" cellspacing="0" cellpadding="2" width="657" bordercolor="#111111">
<tbody>
<tr>
<td width="328" bgcolor="#f7f7c1"><strong>This Search (1,103 Matches) 250-450,000</strong></td>
<td width="118" bgcolor="#f7f7c1">Original Price</td>
<td width="103" bgcolor="#f7f7c1">List Price</td>
<td width="109" bgcolor="#f7f7c1">Sale Price</td>
<td width="53" bgcolor="#f7f7c1">CDOM</td>
<td width="114" bgcolor="#f7f7c1">Price Chg</td>
<td width="55" bgcolor="#f7f7c1">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="910" align="left"> </td>
</tr>
<tr>
<td width="328">Average</td>
<td id="avgOLP" width="118">$342,868</td>
<td id="avgLP" width="103">$329,231</td>
<td id="avgSP" width="109">$314,810</td>
<td id="avgDom" width="53">154</td>
<td id="avgPCh" width="114">$-22,769</td>
<td id="avgPChPct" width="55">-5.83%</td>
</tr>
<tr>
<td width="328">Median</td>
<td id="medOLP" width="118">$329,710</td>
<td id="medLP" width="103">$319,900</td>
<td id="medSP" width="109">$305,000</td>
<td id="medDom" width="53">103</td>
<td id="medPCh" width="114">$-18,000</td>
<td id="medPChPct" width="55">-5.18%</td>
</tr>
<tr>
<td width="328">Low</td>
<td id="lowOLP" width="118">$439</td>
<td id="lowLP" width="103">$239,000</td>
<td id="lowSP" width="109">$176,925</td>
<td id="lowDom" width="53">1</td>
<td id="lowPCh" width="114">$-140,000</td>
<td id="lowPChPct" width="55">-31.23%</td>
</tr>
<tr>
<td width="328">High</td>
<td id="hiOLP" width="118">$4,250,000</td>
<td id="hiLP" width="103">$470,000</td>
<td id="hiSP" width="109">$450,000</td>
<td id="hiDom" width="53">1,160</td>
<td id="hiPCh" width="114">$200,000</td>
<td id="hiPChPct" width="55">133.42%</td>
</tr>
<tr>
<td width="310">Number of listings</td>
<td width="118">1,103 w/Orig. Pr.</td>
<td id="ctLP" width="103">1,103</td>
<td width="109">1,103 sold</td>
<td id="ctDom" width="53">1,103</td>
<td colspan="2" width="174">526 changed price</td>
</tr>
</tbody>
</table>
</div>
</div>
<h3>Brookfield 151, Delafield 43, Eagle 18, Genesee 29, Hartland 13, Menomonee Falls 104, Merton 41, Muskego 76, Mukwonago 45, New Berlin 88, Oconomowoc 102, Pewaukee 74, Sussex 43, Waukesha 125</h3>
<h3>1149 sales for 2009 average days on the market was 168 days. Average sale price was $314,561</h3>
<div>
<div>
<table border="0" cellspacing="0" cellpadding="2" width="649" bordercolor="#111111">
<tbody>
<tr>
<td width="329" bgcolor="#f7f7c1"><strong>This Search (262 Matches) 450-750,000 2010</strong></td>
<td width="117" bgcolor="#f7f7c1">Original Price</td>
<td width="100" bgcolor="#f7f7c1">List Price</td>
<td width="109" bgcolor="#f7f7c1">Sale Price</td>
<td width="54" bgcolor="#f7f7c1">CDOM</td>
<td width="117" bgcolor="#f7f7c1">Price Chg</td>
<td width="47" bgcolor="#f7f7c1">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="903"> </td>
</tr>
<tr>
<td width="329">Average</td>
<td id="avgOLP" width="117">$607,025</td>
<td id="avgLP" width="100">$556,504</td>
<td id="avgSP" width="109">$523,479</td>
<td id="avgDom" width="54">223</td>
<td id="avgPCh" width="117">$-49,029</td>
<td id="avgPChPct" width="47">-7.63%</td>
</tr>
<tr>
<td width="329">Median</td>
<td id="medOLP" width="117">$569,000</td>
<td id="medLP" width="100">$538,200</td>
<td id="medSP" width="109">$505,000</td>
<td id="medDom" width="54">162</td>
<td id="medPCh" width="117">$-40,000</td>
<td id="medPChPct" width="47">-6.12%</td>
</tr>
<tr>
<td width="329">Low</td>
<td id="lowOLP" width="117">$449,500</td>
<td id="lowLP" width="100">$450,000</td>
<td id="lowSP" width="109">$380,800</td>
<td id="lowDom" width="54">1</td>
<td id="lowPCh" width="117">$-250,000</td>
<td id="lowPChPct" width="47">-31.05%</td>
</tr>
<tr>
<td width="329">High</td>
<td id="hiOLP" width="117">$6,678,000</td>
<td id="hiLP" width="100">$750,000</td>
<td id="hiSP" width="109">$733,000</td>
<td id="hiDom" width="54">1,099</td>
<td id="hiPCh" width="117">$10,150</td>
<td id="hiPChPct" width="47">2.26%</td>
</tr>
<tr>
<td width="311">Number of listings</td>
<td width="117">262 w/Orig. Pr.</td>
<td id="ctLP" width="100">262</td>
<td width="109">262 sold</td>
<td id="ctDom" width="54">262</td>
<td colspan="2" width="169">146 changed price</td>
</tr>
</tbody>
</table>
</div>
</div>
<h3>Brookfield 53, Delafield 46, Eagle 4, Genesee 9, Hartland 15, Menomonee Falls 34, Merton 32, Muskego 18, Mukwonago 4, New Berlin 8, Oconomowoc 39, Pewaukee 28, Sussex 4, Waukesha 6</h3>
<h3>Compared to 2009  253 sales with average sale price of $522,907 with average days on the market of 327.</h3>
<div>
<div>
<table border="0" cellspacing="0" cellpadding="2" width="648" bordercolor="#111111">
<tbody>
<tr>
<td width="328" bgcolor="#f7f7c1"><strong>This Search (93 Matches)  $750,000+ 2010</strong></td>
<td width="121" bgcolor="#f7f7c1">Original Price</td>
<td width="94" bgcolor="#f7f7c1">List Price</td>
<td width="115" bgcolor="#f7f7c1">Sale Price</td>
<td width="53" bgcolor="#f7f7c1">CDOM</td>
<td width="115" bgcolor="#f7f7c1">Price Chg</td>
<td width="47" bgcolor="#f7f7c1">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="903"> </td>
</tr>
<tr>
<td width="328">Average</td>
<td id="avgOLP" width="121">$1,116,731</td>
<td id="avgLP" width="94">$1,062,658</td>
<td id="avgSP" width="115">$933,606</td>
<td id="avgDom" width="53">338</td>
<td id="avgPCh" width="115">$-120,476</td>
<td id="avgPChPct" width="47">-9.85%</td>
</tr>
<tr>
<td width="328">Median</td>
<td id="medOLP" width="121">$949,000</td>
<td id="medLP" width="94">$899,500</td>
<td id="medSP" width="115">$825,000</td>
<td id="medDom" width="53">258</td>
<td id="medPCh" width="115">$-66,500</td>
<td id="medPChPct" width="47">-7%</td>
</tr>
<tr>
<td width="328">Low</td>
<td id="lowOLP" width="121">$1</td>
<td id="lowLP" width="94">$750,000</td>
<td id="lowSP" width="115">$517,000</td>
<td id="lowDom" width="53">2</td>
<td id="lowPCh" width="115">$-400,000</td>
<td id="lowPChPct" width="47">-30.77%</td>
</tr>
<tr>
<td width="328">High</td>
<td id="hiOLP" width="121">$2,695,000</td>
<td id="hiLP" width="94">$2,299,000</td>
<td id="hiSP" width="115">$2,000,000</td>
<td id="hiDom" width="53">1,372</td>
<td id="hiPCh" width="115">$24,000</td>
<td id="hiPChPct" width="47">2.46%</td>
</tr>
<tr>
<td width="310">Number of listings</td>
<td width="121">93 w/Orig. Pr.</td>
<td id="ctLP" width="94">93</td>
<td width="115">93 sold</td>
<td id="ctDom" width="53">93</td>
<td colspan="2" width="167">50 changed price</td>
</tr>
</tbody>
</table>
</div>
</div>
<h3>Brookfield 12, Delafield 12, Genesee 3, Hartland 4, Merton 9, Oconomowoc 14, Pewaukee 9, Summit 4, Wales 3</h3>
<h3>Compared to 90 sales in 2009 where average sales price was $1,037,589 with average days on the market 253.</h3>
<h4>Incoming search terms for the article:</h4><ul><li><a href="http://www.mywisconsinrealestateblog.com/2011/01/10/waukesha-county-sales-report-for-2010/" title="waukesha home sales data">waukesha home sales data</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/01/10/waukesha-county-sales-report-for-2010/" title="home sale prices wuakesha county wis">home sale prices wuakesha county wis</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/01/10/waukesha-county-sales-report-for-2010/" title="2010 home purchases waukesha county wi">2010 home purchases waukesha county wi</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/01/10/waukesha-county-sales-report-for-2010/" title="total waukesha county homes for sale March 2011">total waukesha county homes for sale March 2011</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/01/10/waukesha-county-sales-report-for-2010/" title="waukesh county">waukesh county</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/01/10/waukesha-county-sales-report-for-2010/" title="waukesha county">waukesha county</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/01/10/waukesha-county-sales-report-for-2010/" title="WAUKESHA COUNTY AVERAGE DAYS ON THE MARKET">WAUKESHA COUNTY AVERAGE DAYS ON THE MARKET</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/01/10/waukesha-county-sales-report-for-2010/" title="waukesha county home prices">waukesha county home prices</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/01/10/waukesha-county-sales-report-for-2010/" title="waukesha county home sales for 2010">waukesha county home sales for 2010</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2011/01/10/waukesha-county-sales-report-for-2010/" title="Waukesha county house sales avg">Waukesha county house sales avg</a></li></ul><!-- SEO SearchTerms Tagging 2 Plugin -->]]></content:encoded>
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		</item>
		<item>
		<title>Changes to the Wisconsin Shoreland zoning regulations</title>
		<link>http://www.mywisconsinrealestateblog.com/2010/06/14/changes-to-the-wisconsin-shoreland-zoning-regulations/</link>
		<comments>http://www.mywisconsinrealestateblog.com/2010/06/14/changes-to-the-wisconsin-shoreland-zoning-regulations/#comments</comments>
		<pubDate>Mon, 14 Jun 2010 15:36:15 +0000</pubDate>
		<dc:creator>bradkoenig</dc:creator>
				<category><![CDATA[Home Improvements]]></category>
		<category><![CDATA[Market updates]]></category>
		<category><![CDATA[Mortgage and Finance]]></category>
		<category><![CDATA[Goverment Regulations]]></category>
		<category><![CDATA[landscaping]]></category>
		<category><![CDATA[shoreland zoning]]></category>

		<guid isPermaLink="false">http://www.mywisconsinrealestateblog.com/?p=315</guid>
		<description><![CDATA[Below is an article from the Wisconsin Realtors Association on shoreland zoning.  We so many lakes and rivers in south central Wisconsin, I thought it would be important to share.  Keep in mind this is just for the minimum requirements at the state level.  If you currently live on the water you may want to [...]]]></description>
			<content:encoded><![CDATA[<p></p><p>Below is an article from the Wisconsin Realtors Association on shoreland zoning.  We so many lakes and rivers in south central Wisconsin, I thought it would be important to share.  Keep in mind this is just for the minimum requirements at the state level.  If you currently live on the water you may want to stay in touch with your local county government. Each county in Wisconsin (except Milwaukee County) is required to adopt and enforce shoreland zoning regulations that meet or exceed the state standards.   Here are some of the contacts for you.<br />
<strong>Waukesha County<br />
15 W. Moreland Blvd, Rm. 260<br />
Waukesha, Wisconsin 53188<br />
Phone: (262) 896-8300<br />
Fax: (262) 896-8298<br />
<a href="http://www.waukeshacounty.gov/page.aspx?SetupMetaId=7820&amp;id=12022" target="_blank">http://www.waukeshacounty.gov/page.aspx?SetupMetaId=7820&amp;id=12022</a><br />
 </strong></p>
<p><strong>Jefferson County<br />
Jefferson County Courthouse<br />
320 S. Main St., Room 201<br />
Jefferson, WI 53549 <br />
(920) 674-7130<br />
Fax (920) 674-7525<br />
</strong><a href="http://www.co.jefferson.wi.us/jc/public/jchome.php?page_id=134" target="_blank">http://www.co.jefferson.wi.us/jc/public/jchome.php?page_id=134</a></p>
<p><strong> Dane County<br />
Patrick J. Sutter, County Conservationist<br />
1 Fen Oak Court, Room 208<br />
Madison, Wisconsin 53718<br />
phone (608) 224-3730<br />
Fax (608) 224-3745<br />
<a href="http://www.countyofdane.com/lwrd/landconservation/" target="_blank">http://www.countyofdane.com/lwrd/landconservation/</a> </strong></p>
<p><em>In December, the Wisconsin Department of Natural Resources (DNR) adopted new changes to the state’s shoreland zoning regulations (NR 115).  Counties have until January 1, 2012, to update their local shoreland zoning ordinances to bring them into compliance with these new standards.</em></p>
<p>These new changes attempt to better protect water quality, wildlife and natural scenic beauty around our water resources by placing stricter standards on new development and construction near our waterways.   Because these new changes could impact a prospective buyer’s ability to improve or expand waterfront property, REALTORS® should familiarize themselves with the changes. </p>
<p><strong>Background</strong></p>
<p>In 1966, Wisconsin adopted shoreland zoning regulations to control development along lakes and rivers in unincorporated areas and any area annexed or incorporated after 1982.   Generally, these state regulations provide minimum standards for lot sizes, how far structures are set back from the water’s edge, and limits on removing trees and plants near the shoreline.  Each county in Wisconsin (except Milwaukee County) is required to adopt and enforce shoreland zoning regulations that meet or exceed the state standards. </p>
<p>While many people believe that shoreland zoning regulations apply only to property adjacent to waterways, the regulations actually apply to all land within 1,000 feet of a lake, pond or flowage, and land within 300 feet of a stream or river.   This means that all property within this shoreland zone is subject to the regulations even if the property is separated from the water by land, buildings or  roadways. </p>
<p>Because the state shoreland regulations had not been updated in over 25 years, the DNR believed it was necessary to modify them due to increased development in shoreland areas and growing complaints about existing standards from both property owners and local governments.   The revision process took over 7 years, with the DNR conducting approximately 30 public hearings and receiving over 50,000 public comments. </p>
<p>The final version of the regulations contains significant changes to the prior version.  Counties have until January 2012 to update their shoreland zoning ordinances to meet or exceed the new state standards.  Over the next two years, almost every county in the state will be revising their shoreland zoning ordinances.  Accordingly, REALTORS® should work closely with their local counties to make sure the new shoreland zoning ordinances balance the need to protect our natural resources and the rights of property owners. </p>
<p><strong>The Top 10 Changes to the State Shoreland Zoning Regulations</strong></p>
<p>The revised shoreland zoning regulations contain many new provisions.  Again, it is important to remember that these are only minimum standards and counties have the authority to adopt more restrictive standards if they wish.  Here are the 10 new changes to shoreland zoning that will likely have the biggest impact on property owners and REALTORS®:</p>
<p><strong>1. New impervious surface standards will limit the size of new homes and remodeling projects within 300 feet of the water.</strong></p>
<p>For new construction and existing homes looking to expand within 300 feet of the water, no more than 15% of the lot (within 300 feet of the water) can be covered in impervious surfaces (concrete, black top, footprint of structure, etc.).  This includes roof tops, sidewalks, driveways, patios, and any other surface that will not allow water to infiltrate the ground.  The impervious surface limit is raised to 30% of the lot if the property owner meets mitigation standards established by the county.  (Note:  this provision is triggered only when an existing structure is expanded or replaced.)  Any mitigation measures must be proportional to the amount and impacts of the impervious surface being permitted.</p>
<p>If an existing home exceeds the 15% or 30% impervious surface standards, the home is effectively grandfathered and will not be required to be brought into compliance with the new standards.  In addition, a property owner may reconfigure existing impervious surfaces (e.g., move a sidewalk from the east side to the west side of the house) without performing mitigation.</p>
<p>Example – On a typical 10,000-square-foot lot (65’x154’), no more than 30% of the lot can be covered with impervious surfaces (with mitigation).  This means that only 3,000 square feet of impervious surface is allowed.   If you assume that the average driveway is 200 square feet (25’x8’), this means that you have 2,800 square feet to build a house, garage, driveway, patio and other impervious surfaces.  (Note: a driveway, patio and sidewalk can be pervious if designed using the appropriate materials.  However, these materials can be expensive.)</p>
<p><strong>2.  Unlimited maintenance and repair of ALL nonconforming structures is allowed.</strong></p>
<p>The new regulations eliminate the 50% rule, which limited repairs and expansions of nonconforming structures to 50% of the assessed value of the property during the life of the property.  (A nonconforming structure is a structure that is not in compliance with one or more current zoning regulations (e.g., the seventy-five-foot building set back from the water)).  This is a very important change for property owners who were often prevented from performing routine maintenance or minor expansions under the old regulations.  Under the new regulations, nonconforming structures are allowed to be maintained and repaired without any limits on the amount or value of maintenance and repair work. </p>
<p><strong>3.  Homes located between 35 feet and 75 feet from the water can be expanded. </strong></p>
<p>The new regulations also allow nonconforming structures located between 35 feet and 75 feet of the ordinary high water mark (OHWM) to be expanded if they meet certain requirements.  If the property owner wants to expand the structure behind a 75-foot setback, the property owner may do so as long as he/she satisfies the impervious surface limit requirements.  In addition, these homes may be expanded vertically (not horizontally) if the following requirements are met:  (a) the vertical expansion is no higher than 35 feet; (b) the expansion is no closer to the water; (c) the expansion does not exceed the 30% impervious surface limit; and (d) the property owner agrees to perform mitigation, as determined by the county.  Also, these homes may be expanded horizontally if: (a) there is not a “compliant building location” (at least 30 feet deep and meets setback requirements) on the property; (b) the expansion is no closer to the water; (c) mitigation requirements are met; and (d) the expansion does not exceed 30% impervious surface limit.</p>
<p><strong>4. Homes located closer than 35 feet from the water cannot be expanded.  </strong></p>
<p>The new rule prohibits any expansion (vertical or horizontal) if the home or structure is located within 35 feet of the water.  By prohibiting any expansion of these structures, the rule effectively requires the house to be torn down and rebuilt behind the setback if the property owner wants to increase the size of the home. </p>
<p><strong>5. New mitigation requirements are triggered when setback and impervious surface standards are not met.  </strong></p>
<p>Property owners must perform mitigation if they want to exceed the 15 percent impervious surface standard or expand nonconforming structures closer than 75 feet from the water.  (See above.)  All mitigation must be proportional to the anticipated impacts of the project.  Mitigation standards will be established by the counties, but must meet goals established by the DNR including controlling rainfall runoff to the maximum extent practicable.  Mitigation activities may include restoring a natural vegetative buffer along the shoreline, removing an accessory structure near the water, etc.</p>
<p><strong>6.  Mitigation plans must be recorded with the local register of deeds and disclosed.  </strong></p>
<p>Property owners who agree to perform mitigation must record the mitigation plan with the local register of deeds.  This means that the mitigation requirements will run with the land and will be applicable to future property owners as well.  Because the mitigation requirements could impact a prospective buyer’s decision to purchase the property, a seller who has agreed to mitigation should disclose this information to prospective buyers.  To assist in this disclosure effort, the real estate condition report will be amended to include this information. </p>
<p><strong>7.  New vegetation and removal requirements will create smaller views to water for some larger lots.  </strong></p>
<p>Within 35 feet of the water, vegetation can be selectively removed or pruned only within a designated “view and access corridor.”  Property owners may have a “view and access corridor” equal to 30 feet for every 100 feet of frontage, with a maximum of  200 feet.  The limits on tree removal are very similar to current law, but will be more restrictive for large lots with more than 660 feet of frontage.  (Note: this provision is triggered when nonconforming structures are expanded or when conforming structures are expanded/replaced and the impervious surface standards are exceeded).  Vegetation cannot be removed outside the view access corridor, except in cases where exotic or invasive species need to be removed.  Also, the law does not place any restrictions on vegetation removal further than 35 feet from the water.</p>
<p><strong>8.  Most existing substandard lots are grandfathered.  </strong></p>
<p>The new law grandfathers most existing substandard lots as long as the lots (a) met the lot-size requirements at the time the lots were recorded, and (b) have not been replatted, merged or combined in any way with adjacent lots.  (Note: the lots must still meet all other applicable requirements in the county’s ordinance (e.g., impervious surface standards)).   This is a very important provision because some counties have treated small waterfront lots as unbuildable if the lots do not meet the current lot-size requirements in the existing ordinance. </p>
<p><strong>9.  A nonconforming structure may be completely replaced or relocated under some circumstances.  </strong></p>
<p>A nonconforming structure may be replaced (torn down and rebuilt), if (a) no other compliant building location is available on the property to build a house of comparable size; (b) the structure is at least 35 feet from the water; (c) the replacement structure is no closer to the water; (d) mitigation requirements are met; and (e) all other requirements in the ordinance are met.</p>
<p><strong>10.  Setbacks may be reduced under certain circumstances.   </strong></p>
<p>The 75-foot setback may be reduced (i.e., buildings can be built closer than 75 feet to the water) if “an existing development pattern exists.”  The new law defines “existing development pattern” as the location of  “existing principle structures within 250 feet of the proposed structure in both directions.”  This is an important provision to protect the views for properties located on developed lakes and rivers, where neighboring houses are already built closer to the water. </p>
<p>For more information on the new shoreland zoning regulations, please visit the DNR’s website at <a href="http://dnr.wi.gov/org/water/wm/dsfm/shore/news.htm" target="_blank">http://dnr.wi.gov/org/water/wm/dsfm/shore/news.htm</a>  or contact Tom Larson at (608) 240-8254.</p>
<p><em>Tom Larson is Director of Regulatory and Legislative Affairs for the WRA.</em></p>
<h4>Incoming search terms for the article:</h4><ul><li><a href="http://www.mywisconsinrealestateblog.com/2010/06/14/changes-to-the-wisconsin-shoreland-zoning-regulations/" title="waukesha county shoreland zoning">waukesha county shoreland zoning</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2010/06/14/changes-to-the-wisconsin-shoreland-zoning-regulations/" title="middleton wisconsin shore land zoning ordinance">middleton wisconsin shore land zoning ordinance</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2010/06/14/changes-to-the-wisconsin-shoreland-zoning-regulations/" title="wisconsin shoreland zoning regulations">wisconsin shoreland zoning regulations</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2010/06/14/changes-to-the-wisconsin-shoreland-zoning-regulations/" title="dane county shoreland zoning">dane county shoreland zoning</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2010/06/14/changes-to-the-wisconsin-shoreland-zoning-regulations/" title="oconto county building codes expanding a lake property within 35 feet of OHWM">oconto county building codes expanding a lake property within 35 feet of OHWM</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2010/06/14/changes-to-the-wisconsin-shoreland-zoning-regulations/" title="shoreland zoning wisconsin changes">shoreland zoning wisconsin changes</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2010/06/14/changes-to-the-wisconsin-shoreland-zoning-regulations/" title="shoreland zoning madison wi">shoreland zoning madison wi</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2010/06/14/changes-to-the-wisconsin-shoreland-zoning-regulations/" title="Shoreland zoning in wisconsin">Shoreland zoning in wisconsin</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2010/06/14/changes-to-the-wisconsin-shoreland-zoning-regulations/" title="wisconsin lake setbacks">wisconsin lake setbacks</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2010/06/14/changes-to-the-wisconsin-shoreland-zoning-regulations/" title="wisconsin shoreland zoning">wisconsin shoreland zoning</a></li></ul><!-- SEO SearchTerms Tagging 2 Plugin -->]]></content:encoded>
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		<title>May 2010 Sales Data for Waukesha, Jefferson and Dane Counties</title>
		<link>http://www.mywisconsinrealestateblog.com/2010/06/03/may2010sales/</link>
		<comments>http://www.mywisconsinrealestateblog.com/2010/06/03/may2010sales/#comments</comments>
		<pubDate>Thu, 03 Jun 2010 20:02:19 +0000</pubDate>
		<dc:creator>bradkoenig</dc:creator>
				<category><![CDATA[2010 Sales Data]]></category>
		<category><![CDATA[Home Selling]]></category>
		<category><![CDATA[Market updates]]></category>
		<category><![CDATA[home pricing]]></category>
		<category><![CDATA[home sales]]></category>
		<category><![CDATA[selling your home]]></category>

		<guid isPermaLink="false">http://mywisconsinrealestateblog.com/?p=283</guid>
		<description><![CDATA[May 2010 Sales Data for Waukesha, Jefferson and Dane Counties  May 2010 Sales report-Waukesha, Jefferson and Dane CountiesMany of you ask us “What is going on in my local housing market?”  Below you will find sales data for Waukesha, Jefferson and Dane Counties. These sales are single family homes only. If you would like to see postings [...]]]></description>
			<content:encoded><![CDATA[<p></p><div><a title="Permanent link to April 2010 Sales Data for Waukesha, Jefferson and Dane Counties" rel="bookmark" href="http://mywisconsinrealestateblog.com.previewdns.com/?p=234">May 2010 Sales Data for Waukesha, Jefferson and Dane Counties</a> </div>
<div>May 2010 Sales report-Waukesha, Jefferson and Dane CountiesMany of you ask us “What is going on in my local housing market?” </div>
<p>Below you will find sales data for Waukesha, Jefferson and Dane Counties.<br />
These sales are single family homes only. If you would like to see postings on<br />
Condos, land or any other county let us know.</p>
<p><strong><br />
<a href="http://www.homeinsight.com/Widget/default.asp?P1J3UPWCL7ZK" target="_blank"><br />
…or sign up for a monthly email report that is specific to <em>your</em><br />
neighborhood!</a>  </strong></p>
<p>See blog post<br />
 </p>
<p><a href="http://mywisconsinrealestateblog.com.previewdns.com/2009/10/20/pricing-your-home-in-todays-market/" target="_blank">http://mywisconsinrealestateblog.com.previewdns.com/2009/10/20/pricing-your-home-in-todays-market/</a></p>
<p> If you are curious on the value of your home visit<br />
<a href="http://www.yourlocalhomevalue.com/" target="_blank"><br />
www.YourLocalHomeValue.com</a></p>
<p>Compare 2008 vs 2009<br />
Overall for Waukesha county sales were up from 2009. Average sale price was up<br />
for sales over 300,000<br />
 </p>
<div>
<table border="0" cellspacing="0" cellpadding="2" width="585" bordercolor="#111111">
<tbody>
<tr>
<td width="305"> </td>
<td width="187"> </td>
<td width="118"> </td>
<td width="120"> </td>
<td width="118"> </td>
<td width="206"> </td>
<td width="91"> </td>
</tr>
<tr id="thisTR" bgcolor="#f7f7c1">
<td id="thisAddr" width="305"><strong> Waukesha county under $300,000 May 2010</strong></td>
<td width="187">Original Price</td>
<td width="118">List Price</td>
<td width="120">Sale Price</td>
<td width="118">Days on Market</td>
<td width="206">Price Chg</td>
<td width="91">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="1175">This Search (225 Matches)</td>
</tr>
<tr>
<td width="305">Average</td>
<td id="avgOLP" width="187">$219,608</td>
<td id="avgLP" width="118">$210,867</td>
<td id="avgSP" width="120">$203,133</td>
<td id="avgDom" width="118">115</td>
<td id="avgPCh" width="206"><span style="color: red;">$-17,719</span></td>
<td id="avgPChPct" width="91"><span style="color: red;">-7.71%</span></td>
</tr>
<tr>
<td width="305">Median</td>
<td id="medOLP" width="187">$219,900</td>
<td id="medLP" width="118">$214,900</td>
<td id="medSP" width="120">$205,800</td>
<td id="medDom" width="118">71</td>
<td id="medPCh" width="206"><span style="color: red;">$-14,000</span></td>
<td id="medPChPct" width="91"><span style="color: red;">-6.06%</span></td>
</tr>
<tr>
<td width="305">Low</td>
<td id="lowOLP" width="187">$65,000</td>
<td id="lowLP" width="118">$65,000</td>
<td id="lowSP" width="120">$40,000</td>
<td id="lowDom" width="118">2</td>
<td id="lowPCh" width="206"><span style="color: red;">$-100,000</span></td>
<td id="lowPChPct" width="91"><span style="color: red;">-33.34%</span></td>
</tr>
<tr>
<td width="305">High</td>
<td id="hiOLP" width="187">$389,900</td>
<td id="hiLP" width="118">$300,000</td>
<td id="hiSP" width="120">$296,000</td>
<td id="hiDom" width="118">635</td>
<td id="hiPCh" width="206">$4,100</td>
<td id="hiPChPct" width="91">2%</td>
</tr>
<tr>
<td width="287">Number of listings</td>
<td width="187">225 w/Orig. Pr.</td>
<td id="ctLP" width="118">225</td>
<td width="120">225 sold</td>
<td id="ctDom" width="118">225</td>
<td colspan="2" width="302">111 changed price</td>
</tr>
</tbody>
</table>
</div>
<p><a href="http://public.mlswis.com/link.html?rikurn7rlf7,,1" target="_blank">Click to view 2010 Sales under $300,000</a>  Here are the number of sales<br />
for the top cities</p>
<p>Brookfield had 31 sales, Delafield at 2, Eagle 2 Elm Grove 3, Genesee 2, Hartland<br />
3, Menomonee Falls 23, Merton 2,Mukwonago 6, Muskego 16, New Berlin 25, Oconomowoc<br />
23, Pewaukee 14,Sussex 4, Waukesha 55    </p>
<div>
<table border="0" cellspacing="0" cellpadding="2" width="584" bordercolor="#111111">
<tbody>
<tr>
<td width="216"> </td>
<td width="126"> </td>
<td width="79"> </td>
<td width="80"> </td>
<td width="108"> </td>
<td width="138"> </td>
<td width="46"> </td>
</tr>
<tr id="thisTR" bgcolor="#f7f7c1">
<td id="thisAddr" width="216"><strong>Waukesha county under $300,000 May 2009</strong></td>
<td width="126">Original Price</td>
<td width="79">List Price</td>
<td width="80">Sale Price</td>
<td width="108">Days on the Market</td>
<td width="138">Price Chg</td>
<td width="46">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="823">This Search (191 Matches)</td>
</tr>
<tr>
<td width="216">Average</td>
<td id="avgOLP" width="126">$223,736</td>
<td id="avgLP" width="79">$214,375</td>
<td id="avgSP" width="80">$207,216</td>
<td id="avgDom" width="108">134</td>
<td id="avgPCh" width="138"><span style="color: red;">$-19,922</span></td>
<td id="avgPChPct" width="46"><span style="color: red;">-8.68%</span></td>
</tr>
<tr>
<td width="216">Median</td>
<td id="medOLP" width="126">$224,900</td>
<td id="medLP" width="79">$219,000</td>
<td id="medSP" width="80">$210,000</td>
<td id="medDom" width="108">84</td>
<td id="medPCh" width="138"><span style="color: red;">$-14,750</span></td>
<td id="medPChPct" width="46"><span style="color: red;">-6.11%</span></td>
</tr>
<tr>
<td width="216">Low</td>
<td id="lowOLP" width="126">$25,900</td>
<td id="lowLP" width="79">$49,900</td>
<td id="lowSP" width="80">$45,000</td>
<td id="lowDom" width="108">1</td>
<td id="lowPCh" width="138"><span style="color: red;">$-100,000</span></td>
<td id="lowPChPct" width="46"><span style="color: red;">-41.7%</span></td>
</tr>
<tr>
<td width="216">High</td>
<td id="hiOLP" width="126">$400,000</td>
<td id="hiLP" width="79">$300,000</td>
<td id="hiSP" width="80">$300,000</td>
<td id="hiDom" width="108">625</td>
<td id="hiPCh" width="138"><span style="color: red;">$-10</span></td>
<td id="hiPChPct" width="46">&#8211;</td>
</tr>
<tr>
<td width="198"> </td>
<td width="126">191 w/Orig. Pr.</td>
<td id="ctLP" width="79">191</td>
<td width="80">191 sold</td>
<td id="ctDom" width="108">191</td>
<td colspan="2" width="189">94 changed price</td>
</tr>
</tbody>
</table>
<p> </p>
</div>
<div>
<table border="0" cellspacing="0" cellpadding="2" width="588" bordercolor="#111111">
<tbody>
<tr>
<td width="323"> </td>
<td width="181"> </td>
<td width="137"> </td>
<td width="137"> </td>
<td width="107"> </td>
<td width="248"> </td>
<td width="57"> </td>
</tr>
<tr id="thisTR" bgcolor="#f7f7c1">
<td id="thisAddr" width="323"><strong>Waukesha county over $300,000 May 2010</strong></td>
<td width="181">Original Price</td>
<td width="137">List Price</td>
<td width="137">Sale Price</td>
<td width="107">Days on the Market</td>
<td width="248">Price Chg</td>
<td width="57">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="1220">This Search (111 Matches)</td>
</tr>
<tr>
<td width="323">Average</td>
<td id="avgOLP" width="181">$475,226</td>
<td id="avgLP" width="137">$456,457</td>
<td id="avgSP" width="137">$427,114</td>
<td id="avgDom" width="107">209</td>
<td id="avgPCh" width="248"><span style="color: red;">$-37,880</span></td>
<td id="avgPChPct" width="57"><span style="color: red;">-4.21%</span></td>
</tr>
<tr>
<td width="323">Median</td>
<td id="medOLP" width="181">$379,900</td>
<td id="medLP" width="137">$374,499</td>
<td id="medSP" width="137">$350,000</td>
<td id="medDom" width="107">162</td>
<td id="medPCh" width="248"><span style="color: red;">$-23,900</span></td>
<td id="medPChPct" width="57"><span style="color: red;">-4.81%</span></td>
</tr>
<tr>
<td width="323">Low</td>
<td id="lowOLP" width="181">$144,900</td>
<td id="lowLP" width="137">$300,000</td>
<td id="lowSP" width="137">$270,000</td>
<td id="lowDom" width="107">2</td>
<td id="lowPCh" width="248"><span style="color: red;">$-400,000</span></td>
<td id="lowPChPct" width="57"><span style="color: red;">-31.05%</span></td>
</tr>
<tr>
<td width="323">High</td>
<td id="hiOLP" width="181">$2,695,000</td>
<td id="hiLP" width="137">$2,295,000</td>
<td id="hiSP" width="137">$1,490,000</td>
<td id="hiDom" width="107">1,210</td>
<td id="hiPCh" width="248">$180,100</td>
<td id="hiPChPct" width="57">124.29%</td>
</tr>
<tr>
<td width="305"> </td>
<td width="181">111 w/Orig. Pr.</td>
<td id="ctLP" width="137">111</td>
<td width="137">111 sold</td>
<td id="ctDom" width="107">111</td>
<td colspan="2" width="310">55 changed price</td>
</tr>
</tbody>
</table>
</div>
<p> </p>
<p><a href="http://public.mlswis.com/link.html?rikus60jpcz,,1" target="_blank">Click to view sales for 2010 over $300,000</a>  Here are the number of sales for the top cities</p>
<p>Brookfield had 18 sales, Delafield at 9, Elm Grove 1, Genesee 2, Menomonee Falls 11, Merton 6,<br />
 Mukwonago 7, Muskego 13, New Berlin 9, Oconomowoc 10  Pewaukee 1, Sussex 6,<br />
 Waukesha 6</p>
<div>
<table border="0" cellspacing="0" cellpadding="2" width="585" bordercolor="#111111">
<tbody>
<tr>
<td width="146"> </td>
<td width="85"> </td>
<td width="72"> </td>
<td width="72"> </td>
<td width="59"> </td>
<td width="67"> </td>
<td width="56"> </td>
</tr>
<tr id="thisTR" bgcolor="#f7f7c1">
<td id="thisAddr" width="146"><strong>Waukesha county over $300,000 May 2009</strong></td>
<td width="85">Original Price</td>
<td width="72">List Price</td>
<td width="72">Sale Price</td>
<td width="59">Days on<br />
the market</td>
<td width="67">Price Chg</td>
<td width="56">% Price Chg</td>
</tr>
<tr>
<td colspan="7" width="581">This Search (83 Matches)</td>
</tr>
<tr>
<td width="146">Average</td>
<td id="avgOLP" width="85">$576,398</td>
<td id="avgLP" width="72">$550,336</td>
<td id="avgSP" width="72">$510,419</td>
<td id="avgDom" width="59">223</td>
<td id="avgPCh" width="67"><span style="color: red;">$-56,924</span></td>
<td id="avgPChPct" width="56"><span style="color: red;">-9.26%</span></td>
</tr>
<tr>
<td width="146">Median</td>
<td id="medOLP" width="85">$424,500</td>
<td id="medLP" width="72">$389,900</td>
<td id="medSP" width="72">$375,000</td>
<td id="medDom" width="59">191</td>
<td id="medPCh" width="67"><span style="color: red;">$-36,000</span></td>
<td id="medPChPct" width="56"><span style="color: red;">-7.24%</span></td>
</tr>
<tr>
<td width="146">Low</td>
<td id="lowOLP" width="85">$300,000</td>
<td id="lowLP" width="72">$300,000</td>
<td id="lowSP" width="72">$280,000</td>
<td id="lowDom" width="59">1</td>
<td id="lowPCh" width="67"><span style="color: red;">$-241,000</span></td>
<td id="lowPChPct" width="56"><span style="color: red;">-27.96%</span></td>
</tr>
<tr>
<td width="146">High</td>
<td id="hiOLP" width="85">$2,955,000</td>
<td id="hiLP" width="72">$2,955,000</td>
<td id="hiSP" width="72">$2,490,000</td>
<td id="hiDom" width="59">662</td>
<td id="hiPCh" width="67">$5,000</td>
<td id="hiPChPct" width="56">1.19%</td>
</tr>
<tr>
<td width="128">Number of listings</td>
<td width="85">83 w/Orig. Pr.</td>
<td id="ctLP" width="72">83</td>
<td width="72">83 sold</td>
<td id="ctDom" width="59">83</td>
<td colspan="2" width="127">38 changed price</td>
</tr>
</tbody>
</table>
</div>
<p> </p>
<table style="text-align: left; width: 607px; height: 163px;" border="0" cellspacing="1" cellpadding="2" width="607">
<tbody>
<tr>
<td> </td>
<td> </td>
<td> </td>
<td> </td>
<td> </td>
<td> </td>
<td> </td>
</tr>
<tr id="thisTR" bgcolor="#f7f7c1">
<td id="thisAddr" width="25%"><strong>Jefferson county May 2010</strong></td>
<td>Original Price</td>
<td>List Price</td>
<td>Sale Price</td>
<td>Days on the market</td>
<td>Price Chg</td>
<td>% Price Chg</td>
</tr>
<tr>
<td colspan="7">This Search (56 Matches)</td>
</tr>
<tr>
<td>Average</td>
<td id="avgOLP">$187,711</td>
<td id="avgLP">$180,516</td>
<td id="avgSP">$171,768</td>
<td id="avgDom">154</td>
<td id="avgPCh"><span style="color: red;">$-16,116</span></td>
<td id="avgPChPct"><span style="color: red;">-8.65%</span></td>
</tr>
<tr>
<td>Median</td>
<td id="medOLP">$167,450</td>
<td id="medLP">$163,700</td>
<td id="medSP">$158,500</td>
<td id="medDom">89</td>
<td id="medPCh"><span style="color: red;">$-10,000</span></td>
<td id="medPChPct"><span style="color: red;">-6.25%</span></td>
</tr>
<tr>
<td>Low</td>
<td id="lowOLP">$79,900</td>
<td id="lowLP">$74,900</td>
<td id="lowSP">$70,000</td>
<td id="lowDom">10</td>
<td id="lowPCh"><span style="color: red;">$-74,900</span></td>
<td id="lowPChPct"><span style="color: red;">-27.04%</span></td>
</tr>
<tr>
<td>High</td>
<td id="hiOLP">$495,000</td>
<td id="hiLP">$495,000</td>
<td id="hiSP">$440,000</td>
<td id="hiDom">1,186</td>
<td id="hiPCh">$24,050</td>
<td id="hiPChPct">9.25%</td>
</tr>
<tr>
<td>Number of listings</td>
<td>56 w/Orig. Pr.</td>
<td id="ctLP">56</td>
<td>56 sold</td>
<td id="ctDom">56</td>
<td colspan="2">25 changed price</td>
</tr>
</tbody>
</table>
<p><a href="http://public.mlswis.com/link.html?rikusktdna2,,1" target="_blank">Click to view Jefferson county sales in 2010</a>   Here are the number of sales for the top cities<br />
 Fort Atkinson 8, Ixonia 8, Jefferson 8, Johnson Creek 8, Lake Mills, 8,Watertown<br />
12.</p>
<table style="text-align: left; width: 574px; height: 150px;" border="0" cellspacing="1" cellpadding="2" width="574">
<tbody>
<tr>
<td> </td>
<td> </td>
<td> </td>
<td> </td>
<td> </td>
<td> </td>
<td> </td>
</tr>
<tr id="thisTR" bgcolor="#f7f7c1">
<td id="thisAddr" width="25%"><strong>Jefferson county May 2009</strong></td>
<td>Original Price</td>
<td>List Price</td>
<td>Sale Price</td>
<td>Days on the market</td>
<td>Price Chg</td>
<td>% Price Chg</td>
</tr>
<tr>
<td colspan="7">This Search (48 Matches)</td>
</tr>
<tr>
<td>Average</td>
<td id="avgOLP">$179,197</td>
<td id="avgLP">$174,845</td>
<td id="avgSP">$169,595</td>
<td id="avgDom">159</td>
<td id="avgPCh"><span style="color: red;">$-8,356</span></td>
<td id="avgPChPct"><span style="color: red;">-5.83%</span></td>
</tr>
<tr>
<td>Median</td>
<td id="medOLP">$168,500</td>
<td id="medLP">$162,950</td>
<td id="medSP">$160,000</td>
<td id="medDom">113</td>
<td id="medPCh"><span style="color: red;">$-10,000</span></td>
<td id="medPChPct"><span style="color: red;">-5.27%</span></td>
</tr>
<tr>
<td>Low</td>
<td id="lowOLP">$59,900</td>
<td id="lowLP">$46,900</td>
<td id="lowSP">$36,000</td>
<td id="lowDom">15</td>
<td id="lowPCh"><span style="color: red;">$-35,000</span></td>
<td id="lowPChPct"><span style="color: red;">-21.83%</span></td>
</tr>
<tr>
<td>High</td>
<td id="hiOLP">$459,900</td>
<td id="hiLP">$464,900</td>
<td id="hiSP">$460,000</td>
<td id="hiDom">603</td>
<td id="hiPCh">$80,000</td>
<td id="hiPChPct">43.24%</td>
</tr>
<tr>
<td>Number of listings</td>
<td>48 w/Orig. Pr.</td>
<td id="ctLP">48</td>
<td>48 sold</td>
<td id="ctDom">48</td>
<td colspan="2">25 changed price</td>
</tr>
</tbody>
</table>
<p><strong>Dane County Sales under 300,000 for 2010</strong><br />
Average sale price is slightly down but the number of homes as increased </p>
<p><a href="http://scwmls.fnismls.com/publink/default.aspx?GUID=8b41960c-975c-4ab7-9d55-58c845730bea&amp;Report=Yes" target="_blank">Click Here to View Listings</a>  (Under 200,000)<br />
<a href="http://scwmls.fnismls.com/publink/default.aspx?GUID=46e5d7ba-5a46-4930-985f-3e928f664f62&amp;Report=Yes"><br />
</a><a href="http://scwmls.fnismls.com/publink/default.aspx?GUID=ec13fb5e-9f83-4ff2-875b-38f26a1249f2&amp;Report=Yes" target="_blank">Click Here to View Listings</a>  (200-300,000)</p>
<table>
<tbody>
<tr align="right">
<td width="100">
<table cellspacing="1" cellpadding="1" width="100" align="center">
<tbody>
<tr>
<td> </td>
</tr>
<tr align="right">
<td>LIST PRICE:</td>
</tr>
<tr align="right">
<td>SOLD PRICE:</td>
</tr>
<tr align="right">
<td>DOM:</td>
</tr>
</tbody>
</table>
</td>
<td>
<table border="1" cellspacing="0" cellpadding="1" width="0px" align="center" bordercolor="black">
<tbody>
<tr align="center">
<td>HIGH</td>
<td>LOW</td>
<td>AVERAGE</td>
<td>MEDIAN</td>
<td>TOTAL PRICE</td>
<td>LISTING COUNT</td>
</tr>
<tr align="center">
<td>
<div id="ag_lp_high">$375,000</div>
</td>
<td>
<div id="ag_lp_low">$19,999</div>
</td>
<td>
<div id="ag_lp_avg">$201,647</div>
</td>
<td>
<div id="ag_lp_median">$202,400</div>
</td>
<td>
<div id="ag_lp_total">$84,086,854</div>
</td>
<td rowspan="2">
<div id="ag_listing_count">417</div>
</td>
</tr>
<tr align="center">
<td>
<div id="ag_sp_high">$300,000</div>
</td>
<td>
<div id="ag_sp_low">$20,000</div>
</td>
<td>
<div id="ag_sp_avg">$195,581</div>
</td>
<td>
<div id="ag_sp_median">$197,000</div>
</td>
<td>
<div id="ag_sp_total">$81,557,328</div>
</td>
</tr>
<tr align="center">
<td>
<div id="ag_dom_high">427</div>
</td>
<td>
<div id="ag_dom_low">0</div>
</td>
<td>
<div id="ag_dom_avg">73</div>
</td>
<td>
<div id="ag_dom_median">41</div>
</td>
<td>
<div> </div>
</td>
</tr>
</tbody>
</table>
</td>
</tr>
</tbody>
</table>
<p><strong>Compare to 2009 under 300,000</strong></p>
<table>
<tbody>
<tr align="right">
<td width="100">
<table cellspacing="1" cellpadding="1" width="100" align="center">
<tbody>
<tr>
<td> </td>
</tr>
<tr align="right">
<td>LIST PRICE:</td>
</tr>
<tr align="right">
<td>SOLD PRICE:</td>
</tr>
<tr align="right">
<td>DOM:</td>
</tr>
</tbody>
</table>
</td>
<td>
<table border="1" cellspacing="0" cellpadding="1" width="0px" align="center" bordercolor="black">
<tbody>
<tr align="center">
<td>HIGH</td>
<td>LOW</td>
<td>AVERAGE</td>
<td>MEDIAN</td>
<td>TOTAL PRICE</td>
<td>LISTING COUNT</td>
</tr>
<tr align="center">
<td>
<div id="ag_lp_high">$324,900</div>
</td>
<td>
<div id="ag_lp_low">$54,900</div>
</td>
<td>
<div id="ag_lp_avg">$208,822</div>
</td>
<td>
<div id="ag_lp_median">$209,900</div>
</td>
<td>
<div id="ag_lp_total">$74,549,482</div>
</td>
<td rowspan="2">
<div id="ag_listing_count">357</div>
</td>
</tr>
<tr align="center">
<td>
<div id="ag_sp_high">$300,000</div>
</td>
<td>
<div id="ag_sp_low">$54,900</div>
</td>
<td>
<div id="ag_sp_avg">$201,888</div>
</td>
<td>
<div id="ag_sp_median">$202,000</div>
</td>
<td>
<div id="ag_sp_total">$72,074,124</div>
</td>
</tr>
<tr align="center">
<td>
<div id="ag_dom_high">695</div>
</td>
<td>
<div id="ag_dom_low">0</div>
</td>
<td>
<div id="ag_dom_avg">80</div>
</td>
<td>
<div id="ag_dom_median">46</div>
</td>
<td>
<div> </div>
</td>
</tr>
</tbody>
</table>
</td>
</tr>
</tbody>
</table>
<p><strong>Dane County Sales over 300,000 for 2010</strong><br />
<a href="http://scwmls.fnismls.com/publink/default.aspx?GUID=c4ada0f2-85ea-41c0-a044-a6a38f5dfc6a&amp;Report=Yes" target="_blank"><br />
</a><a href="http://scwmls.fnismls.com/publink/default.aspx?GUID=34a0b134-bb5f-44a1-941c-d4ff67391c6f&amp;Report=Yes" target="_blank">Click Here to View Listings</a></p>
<table>
<tbody>
<tr align="right">
<td width="100">
<table cellspacing="1" cellpadding="1" width="100" align="center">
<tbody>
<tr>
<td> </td>
</tr>
<tr align="right">
<td>LIST PRICE:</td>
</tr>
<tr align="right">
<td>SOLD PRICE:</td>
</tr>
<tr align="right">
<td>DOM:</td>
</tr>
</tbody>
</table>
</td>
<td>
<table border="1" cellspacing="0" cellpadding="1" width="0px" align="center" bordercolor="black">
<tbody>
<tr align="center">
<td>HIGH</td>
<td>LOW</td>
<td>AVERAGE</td>
<td>MEDIAN</td>
<td>TOTAL PRICE</td>
<td>LISTING COUNT</td>
</tr>
<tr align="center">
<td>
<div id="ag_lp_high">$1,895,000</div>
</td>
<td>
<div id="ag_lp_low">$300,000</div>
</td>
<td>
<div id="ag_lp_avg">$452,307</div>
</td>
<td>
<div id="ag_lp_median">$386,200</div>
</td>
<td>
<div id="ag_lp_total">$47,039,954</div>
</td>
<td rowspan="2">
<div id="ag_listing_count">104</div>
</td>
</tr>
<tr align="center">
<td>
<div id="ag_sp_high">$1,700,000</div>
</td>
<td>
<div id="ag_sp_low">$300,000</div>
</td>
<td>
<div id="ag_sp_avg">$431,049</div>
</td>
<td>
<div id="ag_sp_median">$375,000</div>
</td>
<td>
<div id="ag_sp_total">$44,829,188</div>
</td>
</tr>
<tr align="center">
<td>
<div id="ag_dom_high">511</div>
</td>
<td>
<div id="ag_dom_low">0</div>
</td>
<td>
<div id="ag_dom_avg">93</div>
</td>
<td>
<div id="ag_dom_median">62</div>
</td>
<td>
<div> </div>
</td>
</tr>
</tbody>
</table>
</td>
</tr>
</tbody>
</table>
<p> </p>
<p><strong>Compare to 2009 sales over 300,000</strong></p>
<table>
<tbody>
<tr align="right">
<td width="100">
<table cellspacing="1" cellpadding="1" width="100" align="center">
<tbody>
<tr align="right">
<td>LIST PRICE:</td>
</tr>
<tr align="right">
<td>SOLD PRICE:</td>
</tr>
<tr align="right">
<td>DOM:</td>
</tr>
</tbody>
</table>
</td>
<td>
<table border="1" cellspacing="0" cellpadding="1" width="0px" align="center" bordercolor="black">
<tbody>
<tr align="center">
<td>HIGH</td>
<td>LOW</td>
<td>AVERAGE</td>
<td>MEDIAN</td>
<td>TOTAL PRICE</td>
<td>LISTING COUNT</td>
</tr>
<tr align="center">
<td>
<div id="ag_lp_high">$749,900</div>
</td>
<td>
<div id="ag_lp_low">$300,000</div>
</td>
<td>
<div id="ag_lp_avg">$414,471</div>
</td>
<td>
<div id="ag_lp_median">$379,900</div>
</td>
<td>
<div id="ag_lp_total">$36,473,491</div>
</td>
<td rowspan="2">
<div id="ag_listing_count">88</div>
</td>
</tr>
<tr align="center">
<td>
<div id="ag_sp_high">$685,000</div>
</td>
<td>
<div id="ag_sp_low">$300,000</div>
</td>
<td>
<div id="ag_sp_avg">$399,156</div>
</td>
<td>
<div id="ag_sp_median">$368,750</div>
</td>
<td>
<div id="ag_sp_total">$35,125,802</div>
</td>
</tr>
<tr align="center">
<td>
<div id="ag_dom_high">449</div>
</td>
<td>
<div id="ag_dom_low">0</div>
</td>
<td>
<div id="ag_dom_avg">100</div>
</td>
<td>
<div id="ag_dom_median">73</div>
</td>
<td>
<div> </div>
</td>
</tr>
</tbody>
</table>
</td>
</tr>
</tbody>
</table>
<h4>Incoming search terms for the article:</h4><ul><li><a href="http://www.mywisconsinrealestateblog.com/2010/06/03/may2010sales/" title="2010 waukesha county land sale results">2010 waukesha county land sale results</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2010/06/03/may2010sales/" title="land sales jefferson county wisconsin 2009-2010">land sales jefferson county wisconsin 2009-2010</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2010/06/03/may2010sales/" title="Land Value in Waukesha County Wisconsin 2010 to 2011">Land Value in Waukesha County Wisconsin 2010 to 2011</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2010/06/03/may2010sales/" title="List Price vs Sales Price Dane County WI">List Price vs Sales Price Dane County WI</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2010/06/03/may2010sales/" title="list vs sale price waukesha wi">list vs sale price waukesha wi</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2010/06/03/may2010sales/" title="milwaukee home sales dom">milwaukee home sales dom</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2010/06/03/may2010sales/" title="property value changes in Waukesha County 2008 2009 2010">property value changes in Waukesha County 2008 2009 2010</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2010/06/03/may2010sales/" title="value of property in Waukesha County Wisonsin 2010 versus 2011">value of property in Waukesha County Wisonsin 2010 versus 2011</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2010/06/03/may2010sales/" title="waukesha county sale price vs list price">waukesha county sale price vs list price</a></li><li><a href="http://www.mywisconsinrealestateblog.com/2010/06/03/may2010sales/" title="waukesha county wi home sale data august 2010">waukesha county wi home sale data august 2010</a></li></ul><!-- SEO SearchTerms Tagging 2 Plugin -->]]></content:encoded>
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		</item>
		<item>
		<title>April 2010 Sales Data for Waukesha, Jefferson and Dane Counties</title>
		<link>http://www.mywisconsinrealestateblog.com/2010/05/05/april-2010-sales-data-for-waukesha-jefferson-and-dane-counties/</link>
		<comments>http://www.mywisconsinrealestateblog.com/2010/05/05/april-2010-sales-data-for-waukesha-jefferson-and-dane-counties/#comments</comments>
		<pubDate>Wed, 05 May 2010 21:36:57 +0000</pubDate>
		<dc:creator>bradkoenig</dc:creator>
				<category><![CDATA[2010 Sales Data]]></category>
		<category><![CDATA[Home Selling]]></category>
		<category><![CDATA[Pricing your home in todays market]]></category>
		<category><![CDATA[home pricing]]></category>
		<category><![CDATA[market reports]]></category>
		<category><![CDATA[selling your home]]></category>

		<guid isPermaLink="false">http://mywisconsinrealestateblog.com/?p=234</guid>
		<description><![CDATA[April 2010 Sales report-Waukesha, Jefferson and Dane Counties Many of you ask us “What is&#160;going on in&#160;my local housing market?”&#160; Below you will find sales data for Waukesha, Jefferson and Dane Counties. These sales are single family homes only. If you would like to see postings on Condos, land or any other county let us [...]]]></description>
			<content:encoded><![CDATA[<p></p><p>April 2010 Sales report-Waukesha, Jefferson and Dane Counties</p>
<p>Many of you ask us “What is&nbsp;going on in&nbsp;my local housing market?”&nbsp;</p>
<p>Below you will find sales data for Waukesha, Jefferson and Dane Counties.<br />
These sales are single family homes only. If you would like to see postings on<br />
Condos, land or any other county let us know.</p>
<p><strong><br />
<a href="http://www.homeinsight.com/Widget/default.asp?P1J3UPWCL7ZK" target="_blank"><br />
…or sign up for a monthly email report that is specific to <em>your</em><br />
neighborhood!</a>&nbsp; </strong></p>
<p>See blog post<br />
<a href="http://mywisconsinrealestateblog.com/post/1218462/pricing-your-home-in-todays-market"></p>
<p>http://mywisconsinrealestateblog.com/post/1218462/pricing-your-home-in-todays-market</a></p>
<p>&nbsp;If you are curious on the value of your home visit<br />
<a href="http://www.yourlocalhomevalue.com/" target="_blank"><br />
www.YourLocalHomeValue.com</a></p>
<p>Compare 2008 vs 2009 <br />
Overall for Waukesha county sales were up from 2009. Average sale price was up<br />
for sales over 300,000<br />
&nbsp;</p>
<div align="left">
<table border="0" cellSpacing="0" cellPadding="2" width="584" style="border-collapse:collapse;">
<tr class="compareHeader topgradient">
<td class="compareTh alignLft" width="253">&nbsp;</td>
<td class="compareTh" width="146">&nbsp;</td>
<td class="compareTh" width="92">&nbsp;</td>
<td class="compareTh" width="93">&nbsp;</td>
<td class="compareTh" width="142">&nbsp;</td>
<td class="compareTh" width="124">&nbsp;</td>
<td class="compareTh" width="56">&nbsp;</td>
</tr>
<tr class="lightgradient" bgColor="#f7f7c1">
<td class="thisListing alignLft" width="253"><strong>This<br />
      Search Waukesha county under $300,000 April 2010</strong></td>
<td class="compareTh" width="146">Original Price</td>
<td class="compareTh" width="92">List Price</td>
<td class="compareTh" width="93">Sale Price</td>
<td class="compareTh" width="142">Days on market</td>
<td class="compareTh" width="124">Price Change</td>
<td class="compareTh" width="56">% Price Change</td>
</tr>
<tr class="compareHeader topgradient">
<td style="font-weight:bold;" class="compareTd alignLft" colSpan="7" width="936">
      This Search (<span id="nbrMatch">223</span> Matches)</td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="253">Average</td>
<td class="compareTd" width="146">$221,086</td>
<td class="compareTd" width="92">$213,635</td>
<td class="compareTd" width="93">$205,733</td>
<td class="compareTd" width="142">121</td>
<td class="compareTd" width="124"><font color="red"><br />
      $-16,131</font></td>
<td class="compareTd" width="56"><font color="red"><br />
      -7.21%</font></td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="253">Median</td>
<td class="compareTd" width="146">$219,900</td>
<td class="compareTd" width="92">$209,900</td>
<td class="compareTd" width="93">$204,000</td>
<td class="compareTd" width="142">78</td>
<td class="compareTd" width="124"><font color="red"><br />
      $-10,000</font></td>
<td class="compareTd" width="56"><font color="red"><br />
      -4.79%</font></td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="253">Low</td>
<td class="compareTd" width="146">$83,900</td>
<td class="compareTd" width="92">$60,000</td>
<td class="compareTd" width="93">$64,000</td>
<td class="compareTd" width="142">2</td>
<td class="compareTd" width="124"><font color="red"><br />
      $-60,100</font></td>
<td class="compareTd" width="56"><font color="red"><br />
      -36.24%</font></td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="253">High</td>
<td class="compareTd" width="146">$395,000</td>
<td class="compareTd" width="92">$339,900</td>
<td class="compareTd" width="93">$300,000</td>
<td class="compareTd" width="142">986</td>
<td class="compareTd" width="124">$400</td>
<td class="compareTd" width="56">0.18%</td>
</tr>
<tr class="compareRow lightgradient">
<td style="padding-left:20px;" class="compareTd alignLft" width="235">
      <span style="cursor:pointer;"><br />
      Number of listings</span></td>
<td class="compareTd" width="146"><span id="ctOLP">223</span>&nbsp;w/Orig. Pr.</td>
<td class="compareTd" width="92">223</td>
<td class="compareTd" width="93"><span id="ctSP">223</span>&nbsp;sold</td>
<td class="compareTd" width="142">223</td>
<td class="compareTd" colSpan="2" width="185"><span id="ctPCh">103</span>&nbsp;changed<br />
      price</td>
</tr>
</table>
</div>
<p>&nbsp;</p>
<p><a target="_blank" href="http://public.mlswis.com/link.html?rhm4buyhdla,">Click to view 2010 Sales under $300,000</a>&nbsp; Here are the number of sales<br />
for the top cities</p>
<p>Brookfield had 20 sales, Delafield at 2, Eagle 5, Elm Grove 3, Genesee 5, Hartland<br />
5,<br />
Menomonee Falls 22,&nbsp;Merton 5,Mukwonago 6, Muskego 11, New Berlin 24, Oconomowoc<br />
19, <br />
Pewaukee 5,<br />
Sussex 4, Waukesha 68&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </p>
<div align="left">
<table border="0" cellSpacing="0" cellPadding="2" width="583" style="border-collapse:collapse;">
<tr class="lightgradient" bgColor="#f7f7c1">
<td class="thisListing alignLft" width="253"><strong>This<br />
      Search Waukesha county under $300,000 April 2009</strong></td>
<td class="compareTh" width="155">Original Price</td>
<td class="compareTh" width="98">List Price</td>
<td class="compareTh" width="99">Sale Price</td>
<td class="compareTh" width="104">Days on <br />
      the market</td>
<td class="compareTh" width="132">Price Change</td>
<td class="compareTh" width="56">% Price Change</td>
</tr>
<tr class="compareHeader topgradient">
<td style="font-weight:bold;" class="compareTd alignLft" colSpan="7" width="927">
      This Search (<span id="nbrMatch">167</span> Matches)</td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="253">Average</td>
<td class="compareTd" width="155">$223,067</td>
<td class="compareTd" width="98">$212,812</td>
<td class="compareTd" width="99">$204,250</td>
<td class="compareTd" width="104">146</td>
<td class="compareTd" width="132"><font color="red"><br />
      $-20,409</font></td>
<td class="compareTd" width="56"><font color="red"><br />
      -9.15%</font></td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="253">Median</td>
<td class="compareTd" width="155">$228,000</td>
<td class="compareTd" width="98">$214,900</td>
<td class="compareTd" width="99">$208,000</td>
<td class="compareTd" width="104">95</td>
<td class="compareTd" width="132"><font color="red"><br />
      $-14,000</font></td>
<td class="compareTd" width="56"><font color="red"><br />
      -6.58%</font></td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="253">Low</td>
<td class="compareTd" width="155">$2</td>
<td class="compareTd" width="98">$57,135</td>
<td class="compareTd" width="99">$45,000</td>
<td class="compareTd" width="104">1</td>
<td class="compareTd" width="132"><font color="red"><br />
      $-110,000</font></td>
<td class="compareTd" width="56"><font color="red"><br />
      -45.26%</font></td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="253">High</td>
<td class="compareTd" width="155">$359,000</td>
<td class="compareTd" width="98">$319,900</td>
<td class="compareTd" width="99">$300,000</td>
<td class="compareTd" width="104">715</td>
<td class="compareTd" width="132">$12,000</td>
<td class="compareTd" width="56">6.49%</td>
</tr>
<tr class="compareRow lightgradient">
<td style="padding-left:20px;" class="compareTd alignLft" width="235">
      <span style="cursor:pointer;"><br />
      Number of listings</span></td>
<td class="compareTd" width="155"><span id="ctOLP">167</span>&nbsp;w/Orig. Pr.</td>
<td class="compareTd" width="98">167</td>
<td class="compareTd" width="99"><span id="ctSP">167</span>&nbsp;sold</td>
<td class="compareTd" width="104">167</td>
<td class="compareTd" colSpan="2" width="193"><span id="ctPCh">89</span>&nbsp;changed<br />
      price</td>
</tr>
<tr class="compareRow lightgradient">
<td style="padding-left:20px;" class="compareTd alignLft" width="235">&nbsp;</td>
<td class="compareTd" width="155">&nbsp;</td>
<td class="compareTd" width="98">&nbsp;</td>
<td class="compareTd" width="99">&nbsp;</td>
<td class="compareTd" width="104">&nbsp;</td>
<td class="compareTd" colSpan="2" width="193">&nbsp;</td>
</tr>
</table>
</div>
<div align="left" style="width:587px;height:259px;">
&nbsp;<br />
<table border="0" cellSpacing="0" cellPadding="2" width="587" style="border-collapse:collapse;">
<tr class="lightgradient" bgColor="#f7f7c1">
<td class="thisListing alignLft" width="253"><strong>This<br />
      Search Waukesha county over $300,000 April 2010</strong></td>
<td class="compareTh" width="163">Original Price</td>
<td class="compareTh" width="112">List Price</td>
<td class="compareTh" width="114">Sale Price</td>
<td class="compareTh" width="90">Days on the market</td>
<td class="compareTh" width="124">Price Change</td>
<td class="compareTh" width="56">% Price Change</td>
</tr>
<tr class="compareHeader topgradient">
<td style="font-weight:bold;" class="compareTd alignLft" colSpan="7" width="942">
      This Search (<span id="nbrMatch">71</span> Matches)</td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="253">Average</td>
<td class="compareTd" width="163">$476,384</td>
<td class="compareTd" width="112">$449,185</td>
<td class="compareTd" width="114">$426,296</td>
<td class="compareTd" width="90">205</td>
<td class="compareTd" width="124"><font color="red"><br />
      $-55,174</font></td>
<td class="compareTd" width="56"><font color="red"><br />
      -7.63%</font></td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="253">Median</td>
<td class="compareTd" width="163">$400,000</td>
<td class="compareTd" width="112">$399,000</td>
<td class="compareTd" width="114">$370,000</td>
<td class="compareTd" width="90">144</td>
<td class="compareTd" width="124"><font color="red"><br />
      $-30,000</font></td>
<td class="compareTd" width="56"><font color="red"><br />
      -6.25%</font></td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="253">Low</td>
<td class="compareTd" width="163">$309,900</td>
<td class="compareTd" width="112">$304,900</td>
<td class="compareTd" width="114">$300,000</td>
<td class="compareTd" width="90">6</td>
<td class="compareTd" width="124"><font color="red"><br />
      $-350,100</font></td>
<td class="compareTd" width="56"><font color="red"><br />
      -25.93%</font></td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="253">High</td>
<td class="compareTd" width="163">$1,350,000</td>
<td class="compareTd" width="112">$999,900</td>
<td class="compareTd" width="114">$960,500</td>
<td class="compareTd" width="90">769</td>
<td class="compareTd" width="124">$15,000</td>
<td class="compareTd" width="56">4.17%</td>
</tr>
<tr class="compareRow lightgradient">
<td style="padding-left:20px;" class="compareTd alignLft" width="235">
      <span style="cursor:pointer;"><br />
      Number of listings</span></td>
<td class="compareTd" width="163"><span id="ctOLP">71</span>&nbsp;w/Orig. Pr.</td>
<td class="compareTd" width="112">71</td>
<td class="compareTd" width="114"><span id="ctSP">71</span>&nbsp;sold</td>
<td class="compareTd" width="90">71</td>
<td class="compareTd" colSpan="2" width="185"><span id="ctPCh">35</span>&nbsp;changed<br />
      price</td>
</tr>
</table>
</div>
<p><a target="_blank" href="http://public.mlswis.com/link.html?rhm4ccwlmqc,,1">Click to view sales for 2010 over $300,000</a>&nbsp; Here are the number of<br />
sales for the top cities</p>
<p>Brookfield had 10 sales, Delafield at 5, Elm Grove 2, Genesee 3,&nbsp;<br />
Menomonee Falls 7, Merton 3,<br />
&nbsp;Mukwonago 3, Muskego 3, New Berlin 4, Oconomowoc 7<br />
&nbsp;Pewaukee 7, Sussex 3, Waukesha 6</p>
<div align="left">
<table border="0" cellSpacing="0" cellPadding="2" width="585" style="border-collapse:collapse;">
<tr class="compareHeader topgradient">
<td class="compareTh alignLft" width="253">Current Listing</td>
<td class="compareTh" width="138">&nbsp;</td>
<td class="compareTh" width="113">&nbsp;</td>
<td class="compareTh" width="113">&nbsp;</td>
<td class="compareTh" width="101">&nbsp;</td>
<td class="compareTh" width="128">&nbsp;</td>
<td class="compareTh" width="56">&nbsp;</td>
</tr>
<tr class="lightgradient" bgColor="#f7f7c1">
<td class="thisListing alignLft" width="253"><strong>This<br />
      Search Waukesha county over $300,000 April 2009</strong></td>
<td class="compareTh" width="138">Original Price</td>
<td class="compareTh" width="113">List Price</td>
<td class="compareTh" width="113">Sale Price</td>
<td class="compareTh" width="101">Days on<br />
      the market</td>
<td class="compareTh" width="128">Price Change</td>
<td class="compareTh" width="56">% Price Change</td>
</tr>
<tr class="compareHeader topgradient">
<td style="font-weight:bold;" class="compareTd alignLft" colSpan="7" width="932">
      This Search (<span id="nbrMatch">57</span> Matches)</td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="253">Average</td>
<td class="compareTd" width="138">$472,862</td>
<td class="compareTd" width="113">$452,600</td>
<td class="compareTd" width="113">$424,126</td>
<td class="compareTd" width="101">208</td>
<td class="compareTd" width="128"><font color="red"><br />
      $-54,093</font></td>
<td class="compareTd" width="56"><font color="red"><br />
      -8.41%</font></td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="253">Median</td>
<td class="compareTd" width="138">$379,900</td>
<td class="compareTd" width="113">$369,900</td>
<td class="compareTd" width="113">$364,700</td>
<td class="compareTd" width="101">177</td>
<td class="compareTd" width="128"><font color="red"><br />
      $-30,000</font></td>
<td class="compareTd" width="56"><font color="red"><br />
      -6.98%</font></td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="253">Low</td>
<td class="compareTd" width="138">$38,400</td>
<td class="compareTd" width="113">$274,777</td>
<td class="compareTd" width="113">$300,000</td>
<td class="compareTd" width="101">4</td>
<td class="compareTd" width="128"><font color="red"><br />
      $-350,000</font></td>
<td class="compareTd" width="56"><font color="red"><br />
      -28.63%</font></td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="253">High</td>
<td class="compareTd" width="138">$1,900,000</td>
<td class="compareTd" width="113">$1,550,000</td>
<td class="compareTd" width="113">$1,250,000</td>
<td class="compareTd" width="101">646</td>
<td class="compareTd" width="128">$50,800</td>
<td class="compareTd" width="56">9.44%</td>
</tr>
<tr class="compareRow lightgradient">
<td style="padding-left:20px;" class="compareTd alignLft" width="235">
      <span style="cursor:pointer;"><br />
      Number of listings</span></td>
<td class="compareTd" width="138"><span id="ctOLP">57</span>&nbsp;w/Orig. Pr.</td>
<td class="compareTd" width="113">57</td>
<td class="compareTd" width="113"><span id="ctSP">57</span>&nbsp;sold</td>
<td class="compareTd" width="101">57</td>
<td class="compareTd" colSpan="2" width="189"><span id="ctPCh">27</span>&nbsp;changed<br />
      price</td>
</tr>
</table>
</div>
<p>&nbsp;</p>
<div align="left">
<table border="0" cellSpacing="0" cellPadding="2" width="587" style="border-collapse:collapse;">
<tr class="compareHeader topgradient">
<td class="compareTh alignLft" width="253">Current Listing</td>
<td class="compareTh" width="165">Original Price</td>
<td class="compareTh" width="114">List Price</td>
<td class="compareTh" width="115">Sale Price</td>
<td class="compareTh" width="92">Days<br />
      on market</td>
<td class="compareTh" width="115">Price Chg</td>
<td class="compareTh" width="56">% Price Chg</td>
</tr>
<tr class="lightgradient" bgColor="#f7f7c1">
<td class="thisListing alignLft" width="253"><strong>This<br />
      Search Jefferson county March 2010</strong></td>
<td class="thisListing" width="165">$54,900</td>
<td class="thisListing" width="114">$49,900</td>
<td class="thisListing" width="115">$45,000</td>
<td class="thisListing" width="92">98</td>
<td class="thisListing" width="115"><font color="red"><br />
      $-5,000</font></td>
<td class="thisListing" width="56">
      <font color="red">-9.11%</font></td>
</tr>
<tr class="compareHeader topgradient">
<td style="font-weight:bold;" class="compareTd alignLft" colSpan="7" width="940">
      This Search (<span id="nbrMatch">59</span> Matches)</td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="253">Average</td>
<td class="compareTd" width="165">$174,336</td>
<td class="compareTd" width="114">$166,697</td>
<td class="compareTd" width="115">$163,534</td>
<td class="compareTd" width="92">212</td>
<td class="compareTd" width="115"><font color="red"><br />
      $-17,335</font></td>
<td class="compareTd" width="56"><font color="red"><br />
      -9.27%</font></td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="253">Median</td>
<td class="compareTd" width="165">$154,900</td>
<td class="compareTd" width="114">$144,500</td>
<td class="compareTd" width="115">$140,650</td>
<td class="compareTd" width="92">159</td>
<td class="compareTd" width="115"><font color="red"><br />
      $-13,500</font></td>
<td class="compareTd" width="56"><font color="red"><br />
      -8.72%</font></td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="253">Low</td>
<td class="compareTd" width="165">$54,900</td>
<td class="compareTd" width="114">$49,900</td>
<td class="compareTd" width="115">$45,000</td>
<td class="compareTd" width="92">1</td>
<td class="compareTd" width="115"><font color="red"><br />
      $-55,000</font></td>
<td class="compareTd" width="56"><font color="red"><br />
      -21.58%</font></td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="253">High</td>
<td class="compareTd" width="165">$374,888</td>
<td class="compareTd" width="114">$374,888</td>
<td class="compareTd" width="115">$535,000</td>
<td class="compareTd" width="92">1,386</td>
<td class="compareTd" width="115"><font color="red">$-900</font></td>
<td class="compareTd" width="56"><font color="red"><br />
      -0.3%</font></td>
</tr>
<tr class="compareRow lightgradient">
<td style="padding-left:20px;" class="compareTd alignLft" width="235">
      <span style="cursor:pointer;"><br />
      Number of listings</span></td>
<td class="compareTd" width="165"><span id="ctOLP">59</span>&nbsp;w/Orig. Pr.</td>
<td class="compareTd" width="114">59</td>
<td class="compareTd" width="115"><span id="ctSP">59</span>&nbsp;sold</td>
<td class="compareTd" width="92">59</td>
<td class="compareTd" colSpan="2" width="176"><span id="ctPCh">26</span>&nbsp;changed<br />
      price</td>
</tr>
</table>
</div>
<p>&nbsp;</p>
<p><a target="_blank" href="http://public.mlswis.com/link.html?rhm4doysahx,,1">Click to view<br />
Jefferson county sales in 2010</a>&nbsp;&nbsp; Here are the number of sales for<br />
the top cities<br />
&nbsp;Fort Atkinson 11, Ixonia 4, Jefferson 8, Johnson Creek 3, Lake Mills, 5,Watertown<br />
16.</p>
<div align="left">
<table border="0" cellSpacing="0" cellPadding="2" width="592" style="border-collapse:collapse;">
<tr class="compareHeader topgradient">
<td class="compareTh alignLft" width="253">&nbsp;</td>
<td class="compareTh" width="149">&nbsp;</td>
<td class="compareTh" width="102">&nbsp;</td>
<td class="compareTh" width="104">&nbsp;</td>
<td class="compareTh" width="87">&nbsp;</td>
<td class="compareTh" width="138">&nbsp;</td>
<td class="compareTh" width="56">&nbsp;</td>
</tr>
<tr class="lightgradient" bgColor="#f7f7c1">
<td class="thisListing alignLft" width="253"><strong>This<br />
      Search Jefferson county March 2009</strong></td>
<td class="compareTh" width="149">Original Price</td>
<td class="compareTh" width="102">List Price</td>
<td class="compareTh" width="104">Sale Price</td>
<td class="compareTh" width="87">Days on<br />
      market</td>
<td class="compareTh" width="138">Price Change</td>
<td class="compareTh" width="56">% Price Change</td>
</tr>
<tr class="compareHeader topgradient">
<td style="font-weight:bold;" class="compareTd alignLft" colSpan="7" width="919">
      This Search (<span id="nbrMatch">25</span> Matches)</td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="253">Average</td>
<td class="compareTd" width="149">$213,754</td>
<td class="compareTd" width="102">$195,702</td>
<td class="compareTd" width="104">$188,698</td>
<td class="compareTd" width="87">187</td>
<td class="compareTd" width="138"><font color="red"><br />
      $-26,547</font></td>
<td class="compareTd" width="56"><font color="red"><br />
      -11.19%</font></td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="253">Median</td>
<td class="compareTd" width="149">$219,500</td>
<td class="compareTd" width="102">$199,900</td>
<td class="compareTd" width="104">$200,000</td>
<td class="compareTd" width="87">165</td>
<td class="compareTd" width="138"><font color="red"><br />
      $-15,000</font></td>
<td class="compareTd" width="56"><font color="red"><br />
      -9.31%</font></td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="253">Low</td>
<td class="compareTd" width="149">$53,000</td>
<td class="compareTd" width="102">$44,900</td>
<td class="compareTd" width="104">$32,000</td>
<td class="compareTd" width="87">6</td>
<td class="compareTd" width="138"><font color="red"><br />
      $-180,000</font></td>
<td class="compareTd" width="56"><font color="red"><br />
      -37.51%</font></td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="253">High</td>
<td class="compareTd" width="149">$479,900</td>
<td class="compareTd" width="102">$349,900</td>
<td class="compareTd" width="104">$335,000</td>
<td class="compareTd" width="87">889</td>
<td class="compareTd" width="138">$10,000</td>
<td class="compareTd" width="56">3.92%</td>
</tr>
<tr class="compareRow lightgradient">
<td style="padding-left:20px;" class="compareTd alignLft" width="235">
      <span style="cursor:pointer;"><br />
      Number of listings</span></td>
<td class="compareTd" width="149"><span id="ctOLP">25</span>&nbsp;w/Orig. Pr.</td>
<td class="compareTd" width="102">25</td>
<td class="compareTd" width="104"><span id="ctSP">25</span>&nbsp;sold</td>
<td class="compareTd" width="87">25</td>
<td class="compareTd" colSpan="2" width="199"><span id="ctPCh">17</span>&nbsp;changed<br />
      price</td>
</tr>
</table>
</div>
<p>
&nbsp;</p>
<p><b>Dane County Sales under 300,000 for 2010</b><br />
Average sale price is slightly down but the number of homes as increased&nbsp;<br />
<br />
&nbsp;<a href="http://scwmls.fnismls.com/publink/default.aspx?GUID=a823b3f8-8961-430d-b11c-59c555d0fbc0&amp;Report=Yes">Click<br />
Here to View Listings</a>&nbsp; (Under 200,000)<br />
<a href="http://scwmls.fnismls.com/publink/default.aspx?GUID=46e5d7ba-5a46-4930-985f-3e928f664f62&amp;Report=Yes"><br />
Click Here to View Listings</a>&nbsp; (200-300,000)</p>
<table>
<tr align="right">
<td width="100">
<table cellSpacing="1" cellPadding="1" width="100" align="center">
<tr>
<td>&nbsp;</td>
</tr>
<tr align="right">
<td>LIST PRICE: </td>
</tr>
<tr align="right">
<td>SOLD PRICE: </td>
</tr>
<tr align="right">
<td>Days on Market </td>
</tr>
</table>
</td>
<td>
<table style="border-collapse:collapse;" border="1" cellSpacing="0" cellPadding="1" width="487" align="center">
<tr style="font-weight:bold;" align="middle">
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="60">
        HIGH</td>
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="52">
        LOW</td>
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="77">
        AVERAGE</td>
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="67">
        MEDIAN</td>
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="105">
        TOTAL PRICE</td>
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="65">
        LISTING COUNT</td>
</tr>
<tr align="middle">
<td style="padding-left:5px;padding-right:5px;" width="60">
<div id="ag_lp_high">
          $339,900</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="52">
<div id="ag_lp_low">
          $24,900</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="77">
<div id="ag_lp_avg">
          $202,414</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="67">
<div id="ag_lp_median">
          $200,000</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="105">
<div id="ag_lp_total">
          $80,358,608</div>
</td>
<td rowSpan="2" width="73">
<div id="ag_listing_count">
          397</div>
</td>
</tr>
<tr align="middle">
<td style="padding-left:5px;padding-right:5px;" width="60">
<div id="ag_sp_high">
          $300,000</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="52">
<div id="ag_sp_low">
          $24,500</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="77">
<div id="ag_sp_avg">
          $196,414</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="67">
<div id="ag_sp_median">
          $195,000</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="105">
<div id="ag_sp_total">
          $77,976,634</div>
</td>
</tr>
<tr align="middle">
<td style="padding-left:5px;padding-right:5px;" width="60">
<div id="ag_dom_high">
          559</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="52">
<div id="ag_dom_low">
          0</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="77">
<div id="ag_dom_avg">
          81</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="67">
<div id="ag_dom_median">
          41</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="105">
<div>
          &nbsp;</div>
</td>
</tr>
</table>
</td>
</tr>
</table>
<p>&nbsp;</p>
<p><b>Compare to 2009 under 300,000</b></p>
<table width="591">
<tr align="right">
<td width="100">
<table cellSpacing="1" cellPadding="1" width="100" align="center">
<tr>
<td>&nbsp;</td>
</tr>
<tr align="right">
<td>LIST PRICE: </td>
</tr>
<tr align="right">
<td>SOLD PRICE: </td>
</tr>
<tr align="right">
<td>Days on the market: </td>
</tr>
</table>
</td>
<td width="481">
<table style="border-collapse:collapse;" border="1" cellSpacing="0" cellPadding="1" width="0px" align="center">
<tr style="font-weight:bold;" align="middle">
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader">
        HIGH</td>
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader">
        LOW</td>
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader">
        AVERAGE</td>
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader">
        MEDIAN</td>
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader">
        TOTAL PRICE</td>
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader">
        LISTING COUNT</td>
</tr>
<tr align="middle">
<td style="padding-left:5px;padding-right:5px;">
<div id="ag_lp_high">
          $400,000</div>
</td>
<td style="padding-left:5px;padding-right:5px;">
<div id="ag_lp_low">
          $44,900</div>
</td>
<td style="padding-left:5px;padding-right:5px;">
<div id="ag_lp_avg">
          $206,495</div>
</td>
<td style="padding-left:5px;padding-right:5px;">
<div id="ag_lp_median">
          $204,900</div>
</td>
<td style="padding-left:5px;padding-right:5px;">
<div id="ag_lp_total">
          $52,656,301</div>
</td>
<td rowSpan="2">
<div id="ag_listing_count">
          255</div>
</td>
</tr>
<tr align="middle">
<td style="padding-left:5px;padding-right:5px;">
<div id="ag_sp_high">
          $300,000</div>
</td>
<td style="padding-left:5px;padding-right:5px;">
<div id="ag_sp_low">
          $42,000</div>
</td>
<td style="padding-left:5px;padding-right:5px;">
<div id="ag_sp_avg">
          $198,205</div>
</td>
<td style="padding-left:5px;padding-right:5px;">
<div id="ag_sp_median">
          $195,000</div>
</td>
<td style="padding-left:5px;padding-right:5px;">
<div id="ag_sp_total">
          $50,542,441</div>
</td>
</tr>
<tr align="middle">
<td style="padding-left:5px;padding-right:5px;">
<div id="ag_dom_high">
          616</div>
</td>
<td style="padding-left:5px;padding-right:5px;">
<div id="ag_dom_low">
          0</div>
</td>
<td style="padding-left:5px;padding-right:5px;">
<div id="ag_dom_avg">
          90</div>
</td>
<td style="padding-left:5px;padding-right:5px;">
<div id="ag_dom_median">
          60</div>
</td>
<td style="padding-left:5px;padding-right:5px;">
<div>
          &nbsp;</div>
</td>
</tr>
</table>
</td>
</tr>
</table>
<p>&nbsp;</p>
<p><b>Dane County Sales over 300,000 for 2010</b><br />
<a target="_blank" href="http://scwmls.fnismls.com/publink/default.aspx?GUID=c4ada0f2-85ea-41c0-a044-a6a38f5dfc6a&amp;Report=Yes"><br />
Click Here to View Listings</a></p>
<table>
<tr align="right">
<td width="100">
<table cellSpacing="1" cellPadding="1" width="100" align="center">
<tr>
<td>&nbsp;</td>
</tr>
<tr align="right">
<td>LIST PRICE: </td>
</tr>
<tr align="right">
<td>SOLD PRICE: </td>
</tr>
<tr align="right">
<td>Days on the market: </td>
</tr>
</table>
</td>
<td>
<table style="border-collapse:collapse;" border="1" cellSpacing="0" cellPadding="1" width="489" align="center">
<tr style="font-weight:bold;" align="middle">
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="72">
        HIGH</td>
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="60">
        LOW</td>
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="77">
        AVERAGE</td>
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="67">
        MEDIAN</td>
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="105">
        TOTAL PRICE</td>
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="65">
        LISTING COUNT</td>
</tr>
<tr align="middle">
<td style="padding-left:5px;padding-right:5px;" width="72">
<div id="ag_lp_high">
          $1,100,000</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="60">
<div id="ag_lp_low">
          $299,900</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="77">
<div id="ag_lp_avg">
          $443,018</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="67">
<div id="ag_lp_median">
          $392,000</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="105">
<div id="ag_lp_total">
          $35,441,449</div>
</td>
<td rowSpan="2" width="73">
<div id="ag_listing_count">
          80</div>
</td>
</tr>
<tr align="middle">
<td style="padding-left:5px;padding-right:5px;" width="72">
<div id="ag_sp_high">
          $1,000,000</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="60">
<div id="ag_sp_low">
          $300,000</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="77">
<div id="ag_sp_avg">
          $419,154</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="67">
<div id="ag_sp_median">
          $378,750</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="105">
<div id="ag_sp_total">
          $33,532,329</div>
</td>
</tr>
<tr align="middle">
<td style="padding-left:5px;padding-right:5px;" width="72">
<div id="ag_dom_high">
          550</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="60">
<div id="ag_dom_low">
          0</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="77">
<div id="ag_dom_avg">
          125</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="67">
<div id="ag_dom_median">
          80</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="105">
<div>
          &nbsp;</div>
</td>
</tr>
</table>
</td>
</tr>
</table>
<p>&nbsp;</p>
<p><b>Compare to 2009 sales over 300,000</b></p>
<table>
<tr align="right">
<td width="100">
<table cellSpacing="1" cellPadding="1" width="100" align="center">
<tr>
<td>&nbsp;</td>
</tr>
<tr align="right">
<td>LIST PRICE: </td>
</tr>
<tr align="right">
<td>SOLD PRICE: </td>
</tr>
<tr align="right">
<td>DOM: </td>
</tr>
</table>
</td>
<td>
<table style="border-collapse:collapse;" border="1" cellSpacing="0" cellPadding="1" width="492" align="center">
<tr style="font-weight:bold;" align="middle">
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="72">
        HIGH</td>
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="60">
        LOW</td>
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="77">
        AVERAGE</td>
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="67">
        MEDIAN</td>
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="105">
        TOTAL PRICE</td>
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="65">
        LISTING COUNT</td>
</tr>
<tr align="middle">
<td style="padding-left:5px;padding-right:5px;" width="72">
<div id="ag_lp_high">
          $1,169,107</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="60">
<div id="ag_lp_low">
          $309,000</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="77">
<div id="ag_lp_avg">
          $451,905</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="67">
<div id="ag_lp_median">
          $404,900</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="105">
<div id="ag_lp_total">
          $30,277,683</div>
</td>
<td rowSpan="2" width="73">
<div id="ag_listing_count">
          67</div>
</td>
</tr>
<tr align="middle">
<td style="padding-left:5px;padding-right:5px;" width="72">
<div id="ag_sp_high">
          $1,169,107</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="60">
<div id="ag_sp_low">
          $300,000</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="77">
<div id="ag_sp_avg">
          $427,321</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="67">
<div id="ag_sp_median">
          $382,000</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="105">
<div id="ag_sp_total">
          $28,630,565</div>
</td>
</tr>
<tr align="middle">
<td style="padding-left:5px;padding-right:5px;" width="72">
<div id="ag_dom_high">
          429</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="60">
<div id="ag_dom_low">
          0</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="77">
<div id="ag_dom_avg">
          99</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="67">
<div id="ag_dom_median">
          68</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="105">
<div>
          &nbsp;</div>
</td>
</tr>
</table>
</td>
</tr>
</table>
<p>&nbsp;</p>
<p>If you like this report please comment or share with someone.</p>
<p>Brad Koenig</p>
<div>
  <strong><span style="color:#ff0000;">Your Local Home Team, LLC-First Weber<br />
  Realtors</span></strong></div>
<div>
  <a href="http://www.yourlocalhometeam.com/"><br />
  www.YourLocalHomeTeam.com</a> Search for homes in the area!<br />
  <a href="mailto:Sold@YourLocalHomeTeam.com">Sold@YourLocalHomeTeam.com</a></div>
<div>
  <strong>262-719-7393 Office/Cell</strong></div>
<div>
  <strong>262-364-3404 Direct Fax</strong></div>
<div>
  <em>Proudly Serving Southcentral Wisconsin with Referrals from our Clients</em></div>
<div>
  Visit my LinkedIn profile:<br />
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<p>&nbsp;</p>
<p>&nbsp;</p>
]]></content:encoded>
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		<item>
		<title>March 2010 Sales Data for Waukesha, Jefferson and Dane Counties</title>
		<link>http://www.mywisconsinrealestateblog.com/2010/04/07/march-2010-sales-data-for-waukesha-jefferson-and-dane-counties/</link>
		<comments>http://www.mywisconsinrealestateblog.com/2010/04/07/march-2010-sales-data-for-waukesha-jefferson-and-dane-counties/#comments</comments>
		<pubDate>Wed, 07 Apr 2010 20:46:53 +0000</pubDate>
		<dc:creator>bradkoenig</dc:creator>
				<category><![CDATA[2010 Sales Data]]></category>
		<category><![CDATA[Home Buying]]></category>
		<category><![CDATA[Market updates]]></category>
		<category><![CDATA[Pricing your home in todays market]]></category>
		<category><![CDATA[Buying a home]]></category>
		<category><![CDATA[home pricing]]></category>
		<category><![CDATA[home sales]]></category>
		<category><![CDATA[Home Selling]]></category>
		<category><![CDATA[market reports]]></category>
		<category><![CDATA[selling your home]]></category>

		<guid isPermaLink="false">http://mywisconsinrealestateblog.com/?p=199</guid>
		<description><![CDATA[March 2010 Sales report-Waukesha, Jefferson and Dane Counties Many of you ask us “What is&#160;going on in&#160;my local housing market?”&#160; Below you will find sales data for Waukesha, Jefferson and Dane Counties. These sales are single family homes only. If you would like to see postings on Condos, land or any other county let us [...]]]></description>
			<content:encoded><![CDATA[<p></p><p>March 2010 Sales report-Waukesha, Jefferson and Dane Counties</p>
<p>Many of you ask us “What is&nbsp;going on in&nbsp;my local housing market?”&nbsp;</p>
<p>Below you will find sales data for Waukesha, Jefferson and Dane Counties.<br />
These sales are single family homes only. If you would like to see postings on<br />
Condos, land or any other county let us know.</p>
<p><strong><br />
<a href="http://www.homeinsight.com/Widget/default.asp?P1J3UPWCL7ZK" target="_blank"><br />
…or sign up for a monthly email report that is specific to <em>your</em><br />
neighborhood!</a>&nbsp; </strong></p>
<p>See blog post<br />
<a href="http://mywisconsinrealestateblog.com/post/1218462/pricing-your-home-in-todays-market"></p>
<p>http://mywisconsinrealestateblog.com/post/1218462/pricing-your-home-in-todays-market</a></p>
<p>&nbsp;If you are curious on the value of your home visit<br />
<a href="http://www.yourlocalhomevalue.com/" target="_blank"><br />
www.YourLocalHomeValue.com</a></p>
<p>Compare 2008 vs 2009 notice the Days On Market as well as the average sale<br />
price difference.<br />
This is a good time to buy your first home or move up in size.&nbsp;<br />
Overall for Waukesha county sales were up. Average price is still down compared<br />
to 2009. <br />
As a buyer this is where you will make it up.</p>
<div align="left">
<table border="0" cellSpacing="0" cellPadding="2" width="582" style="border-collapse:collapse;">
<tr class="compareHeader topgradient">
<td class="compareTh alignLft" width="272">&nbsp;</td>
<td class="compareTh" width="189">&nbsp;</td>
<td class="compareTh" width="120">&nbsp;</td>
<td class="compareTh" width="122">&nbsp;</td>
<td class="compareTh" width="97">&nbsp;</td>
<td class="compareTh" width="121">&nbsp;</td>
<td class="compareTh" width="56">&nbsp;</td>
</tr>
<tr class="lightgradient" bgColor="#f7f7c1">
<td class="thisListing alignLft" width="272"><strong>This<br />
      Search Waukesha county under $300,000 March 2010</strong></td>
<td class="compareTh" width="189">Original Price</td>
<td class="compareTh" width="120">List Price</td>
<td class="compareTh" width="122">Sale Price</td>
<td class="compareTh" width="97">CDOM</td>
<td class="compareTh" width="121">Price Chg</td>
<td class="compareTh" width="56">% Price Chg</td>
</tr>
<tr class="compareHeader topgradient">
<td style="font-weight:bold;" class="compareTd alignLft" colSpan="7" width="1007">
      This Search (<span id="nbrMatch">171</span> Matches)</td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="272">Average</td>
<td class="compareTd" width="189">$227,546</td>
<td class="compareTd" width="120">$218,540</td>
<td class="compareTd" width="122">$210,391</td>
<td class="compareTd" width="97">162</td>
<td class="compareTd" width="121"><font color="red"><br />
      $-16,559</font></td>
<td class="compareTd" width="56"><font color="red"><br />
      -6.67%</font></td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="272">Median</td>
<td class="compareTd" width="189">$229,900</td>
<td class="compareTd" width="120">$219,900</td>
<td class="compareTd" width="122">$214,900</td>
<td class="compareTd" width="97">109</td>
<td class="compareTd" width="121"><font color="red"><br />
      $-14,900</font></td>
<td class="compareTd" width="56"><font color="red"><br />
      -5.88%</font></td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="272">Low</td>
<td class="compareTd" width="189">$34,900</td>
<td class="compareTd" width="120">$34,900</td>
<td class="compareTd" width="122">$34,900</td>
<td class="compareTd" width="97">1</td>
<td class="compareTd" width="121"><font color="red"><br />
      $-55,000</font></td>
<td class="compareTd" width="56"><font color="red"><br />
      -21.91%</font></td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="272">High</td>
<td class="compareTd" width="189">$349,900</td>
<td class="compareTd" width="120">$318,500</td>
<td class="compareTd" width="122">$299,900</td>
<td class="compareTd" width="97">975</td>
<td class="compareTd" width="121">$50,000</td>
<td class="compareTd" width="56">29.6%</td>
</tr>
<tr class="compareRow lightgradient">
<td style="padding-left:20px;" class="compareTd alignLft" width="254">
      <span style="cursor:pointer;"><br />
      Number of listings</span></td>
<td class="compareTd" width="189"><span id="ctOLP">171</span>&nbsp;w/Orig. Pr.</td>
<td class="compareTd" width="120">171</td>
<td class="compareTd" width="122"><span id="ctSP">171</span>&nbsp;sold</td>
<td class="compareTd" width="97">171</td>
<td class="compareTd" colSpan="2" width="182"><span id="ctPCh">93</span>&nbsp;changed<br />
      price</td>
</tr>
</table>
</div>
<p><a target="_blank" href="http://public.mlswis.com/link.html?rgndodrvydx,,1">Click to view 2010 Sales under $300,000</a>&nbsp; Here are the number of sales<br />
for the top cities</p>
<p>Brookfield had 22 sales, Delafield at 1, Eagle 2, Elm Grove 1, Genesee 3, Hartland<br />
3,<br />
Menomonee Falls 16,&nbsp;Merton 2,Mukwonago 6, Muskego 12, New Berlin 14, Oconomowoc<br />
19, <br />
Pewaukee 7,<br />
Sussex 2, Waukesha 44</p>
<div align="left">
<table border="0" cellSpacing="0" cellPadding="2" width="578" style="border-collapse:collapse;">
<tr class="compareHeader topgradient">
<td class="compareTh alignLft" width="272">Current Listing</td>
<td class="compareTh" width="189">Original Price</td>
<td class="compareTh" width="120">List Price</td>
<td class="compareTh" width="122">Sale Price</td>
<td class="compareTh" width="97">CDOM</td>
<td class="compareTh" width="121">Price Chg</td>
<td class="compareTh" width="56">% Price Chg</td>
</tr>
<tr class="lightgradient" bgColor="#f7f7c1">
<td class="thisListing alignLft" width="272"><strong>This<br />
      Search Waukesha county under $300,000 March 2009</strong></td>
<td class="thisListing" width="189">$144,900</td>
<td class="thisListing" width="120">$69,500</td>
<td class="thisListing" width="122">$68,500</td>
<td class="thisListing" width="97">232</td>
<td class="thisListing" width="121">&#8211;</td>
<td class="thisListing" width="56">&#8211;</td>
</tr>
<tr class="compareHeader topgradient">
<td style="font-weight:bold;" class="compareTd alignLft" colSpan="7" width="1007">
      This Search (<span id="nbrMatch">162</span> Matches)</td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="272">Average</td>
<td class="compareTd" width="189">$245,240</td>
<td class="compareTd" width="120">$219,527</td>
<td class="compareTd" width="122">$210,606</td>
<td class="compareTd" width="97">145</td>
<td class="compareTd" width="121"><font color="red"><br />
      $-18,791</font></td>
<td class="compareTd" width="56"><font color="red"><br />
      -7.57%</font></td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="272">Median</td>
<td class="compareTd" width="189">$229,900</td>
<td class="compareTd" width="120">$220,000</td>
<td class="compareTd" width="122">$215,000</td>
<td class="compareTd" width="97">119</td>
<td class="compareTd" width="121"><font color="red"><br />
      $-12,450</font></td>
<td class="compareTd" width="56"><font color="red"><br />
      -5.76%</font></td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="272">Low</td>
<td class="compareTd" width="189">$99,900</td>
<td class="compareTd" width="120">$69,500</td>
<td class="compareTd" width="122">$68,500</td>
<td class="compareTd" width="97">1</td>
<td class="compareTd" width="121"><font color="red"><br />
      $-85,000</font></td>
<td class="compareTd" width="56"><font color="red"><br />
      -28.41%</font></td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="272">High</td>
<td class="compareTd" width="189">$2,749,000</td>
<td class="compareTd" width="120">$319,900</td>
<td class="compareTd" width="122">$295,900</td>
<td class="compareTd" width="97">584</td>
<td class="compareTd" width="121">$5,000</td>
<td class="compareTd" width="56">2%</td>
</tr>
<tr class="compareRow lightgradient">
<td style="padding-left:20px;" class="compareTd alignLft" width="254">
      <span style="cursor:pointer;"><br />
      Number of listings</span></td>
<td class="compareTd" width="189"><span id="ctOLP">162</span>&nbsp;w/Orig. Pr.</td>
<td class="compareTd" width="120">162</td>
<td class="compareTd" width="122"><span id="ctSP">162</span>&nbsp;sold</td>
<td class="compareTd" width="97">162</td>
<td class="compareTd" colSpan="2" width="182"><span id="ctPCh">86</span>&nbsp;changed<br />
      price</td>
</tr>
<tr class="compareRow lightgradient">
<td style="padding-left:20px;" class="compareTd alignLft" width="254">&nbsp;</td>
<td class="compareTd" width="189">&nbsp;</td>
<td class="compareTd" width="120">&nbsp;</td>
<td class="compareTd" width="122">&nbsp;</td>
<td class="compareTd" width="97">&nbsp;</td>
<td class="compareTd" colSpan="2" width="182">&nbsp;</td>
</tr>
<tr class="compareRow lightgradient">
<td style="padding-left:20px;" class="compareTd alignLft" width="254">&nbsp;</td>
<td class="compareTd" width="189">&nbsp;</td>
<td class="compareTd" width="120">&nbsp;</td>
<td class="compareTd" width="122">&nbsp;</td>
<td class="compareTd" width="97">&nbsp;</td>
<td class="compareTd" colSpan="2" width="182">&nbsp;</td>
</tr>
</table>
</div>
<div align="left">
<table border="0" cellSpacing="0" cellPadding="2" width="580" style="border-collapse:collapse;">
<tr class="compareHeader topgradient">
<td class="compareTh alignLft" width="272">&nbsp;</td>
<td class="compareTh" width="165">&nbsp;</td>
<td class="compareTh" width="136">&nbsp;</td>
<td class="compareTh" width="136">&nbsp;</td>
<td class="compareTh" width="93">&nbsp;</td>
<td class="compareTh" width="126">&nbsp;</td>
<td class="compareTh" width="48">&nbsp;</td>
</tr>
<tr class="lightgradient" bgColor="#f7f7c1">
<td class="thisListing alignLft" width="272"><strong>This<br />
      Search Waukesha county over $300,000 March 2010</strong></td>
<td class="compareTh" width="165">Original Price</td>
<td class="compareTh" width="136">List Price</td>
<td class="compareTh" width="136">Sale Price</td>
<td class="compareTh" width="93">CDOM</td>
<td class="compareTh" width="126">Price Chg</td>
<td class="compareTh" width="48">% Price Chg</td>
</tr>
<tr class="compareHeader topgradient">
<td style="font-weight:bold;" class="compareTd alignLft" colSpan="7" width="1006">
      This Search (<span id="nbrMatch">64</span> Matches)</td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="272">Average</td>
<td class="compareTd" width="165">$505,723</td>
<td class="compareTd" width="136">$481,891</td>
<td class="compareTd" width="136">$456,908</td>
<td class="compareTd" width="93">226</td>
<td class="compareTd" width="126"><font color="red"><br />
      $-47,665</font></td>
<td class="compareTd" width="48"><font color="red"><br />
      -8.18%</font></td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="272">Median</td>
<td class="compareTd" width="165">$454,450</td>
<td class="compareTd" width="136">$444,850</td>
<td class="compareTd" width="136">$429,820</td>
<td class="compareTd" width="93">175</td>
<td class="compareTd" width="126"><font color="red"><br />
      $-40,000</font></td>
<td class="compareTd" width="48"><font color="red"><br />
      -7.19%</font></td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="272">Low</td>
<td class="compareTd" width="165">$314,900</td>
<td class="compareTd" width="136">$314,900</td>
<td class="compareTd" width="136">$302,500</td>
<td class="compareTd" width="93">9</td>
<td class="compareTd" width="126"><font color="red"><br />
      $-305,000</font></td>
<td class="compareTd" width="48"><font color="red"><br />
      -19.3%</font></td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="272">High</td>
<td class="compareTd" width="165">$1,760,000</td>
<td class="compareTd" width="136">$1,455,000</td>
<td class="compareTd" width="136">$1,245,000</td>
<td class="compareTd" width="93">1,002</td>
<td class="compareTd" width="126">$24,000</td>
<td class="compareTd" width="48">2.46%</td>
</tr>
<tr class="compareRow lightgradient">
<td style="padding-left:20px;" class="compareTd alignLft" width="254">
      <span style="cursor:pointer;"><br />
      Number of listings</span></td>
<td class="compareTd" width="165"><span id="ctOLP">64</span>&nbsp;w/Orig. Pr.</td>
<td class="compareTd" width="136">64</td>
<td class="compareTd" width="136"><span id="ctSP">64</span>&nbsp;sold</td>
<td class="compareTd" width="93">64</td>
<td class="compareTd" colSpan="2" width="179"><span id="ctPCh">32</span>&nbsp;changed<br />
      price</td>
</tr>
</table>
</div>
<p>&nbsp;</p>
<p><a target="_blank" href="http://public.mlswis.com/link.html?rgndr23lnjo,,1">Click to view sales for 2010 over $300,000</a>&nbsp; Here are the number of<br />
sales for the top cities</p>
<p>Brookfield had 10 sales, Delafield at 7, Elm Grove 2, Genesee 1,<br />
Hartland 1, <br />
Menomonee Falls 9, Merton 2, Mukwonago 1, Muskego 3, New Berlin 5, Oconomowoc 3<br />
&nbsp;Pewaukee 4, Sussex 1, Waukesha 2</p>
<div align="left">
<table border="0" cellSpacing="0" cellPadding="2" width="585" style="border-collapse:collapse;">
<tr class="compareHeader topgradient">
<td class="compareTh alignLft" width="272">&nbsp;</td>
<td class="compareTh" width="165">&nbsp;</td>
<td class="compareTh" width="136">&nbsp;</td>
<td class="compareTh" width="136">&nbsp;</td>
<td class="compareTh" width="93">&nbsp;</td>
<td class="compareTh" width="126">&nbsp;</td>
<td class="compareTh" width="48">&nbsp;</td>
</tr>
<tr class="lightgradient" bgColor="#f7f7c1">
<td class="thisListing alignLft" width="272"><strong><br />
      This Search Waukesha county over $300,000 March 2009</strong></td>
<td class="compareTh" width="165">Original Price</td>
<td class="compareTh" width="136">List Price</td>
<td class="compareTh" width="136">Sale Price</td>
<td class="compareTh" width="93">CDOM</td>
<td class="compareTh" width="126">Price Chg</td>
<td class="compareTh" width="48">% Price Chg</td>
</tr>
<tr class="compareHeader topgradient">
<td style="font-weight:bold;" class="compareTd alignLft" colSpan="7" width="1006">
      This Search (<span id="nbrMatch">60</span> Matches)</td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="272">Average</td>
<td class="compareTd" width="165">$464,663</td>
<td class="compareTd" width="136">$443,260</td>
<td class="compareTd" width="136">$422,815</td>
<td class="compareTd" width="93">195</td>
<td class="compareTd" width="126"><font color="red"><br />
      $-40,131</font></td>
<td class="compareTd" width="48"><font color="red"><br />
      -7.38%</font></td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="272">Median</td>
<td class="compareTd" width="165">$399,450</td>
<td class="compareTd" width="136">$379,900</td>
<td class="compareTd" width="136">$362,475</td>
<td class="compareTd" width="93">148</td>
<td class="compareTd" width="126"><font color="red"><br />
      $-32,500</font></td>
<td class="compareTd" width="48"><font color="red"><br />
      -7.04%</font></td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="272">Low</td>
<td class="compareTd" width="165">$319,900</td>
<td class="compareTd" width="136">$319,900</td>
<td class="compareTd" width="136">$315,000</td>
<td class="compareTd" width="93">1</td>
<td class="compareTd" width="126"><font color="red"><br />
      $-171,000</font></td>
<td class="compareTd" width="48"><font color="red"><br />
      -20%</font></td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="272">High</td>
<td class="compareTd" width="165">$1,450,000</td>
<td class="compareTd" width="136">$1,279,000</td>
<td class="compareTd" width="136">$1,147,500</td>
<td class="compareTd" width="93">700</td>
<td class="compareTd" width="126">$30,000</td>
<td class="compareTd" width="48">6.38%</td>
</tr>
<tr class="compareRow lightgradient">
<td style="padding-left:20px;" class="compareTd alignLft" width="254">
      <span style="cursor:pointer;"><br />
      Number of listings</span></td>
<td class="compareTd" width="165"><span id="ctOLP">60</span>&nbsp;w/Orig. Pr.</td>
<td class="compareTd" width="136">60</td>
<td class="compareTd" width="136"><span id="ctSP">60</span>&nbsp;sold</td>
<td class="compareTd" width="93">60</td>
<td class="compareTd" colSpan="2" width="179"><span id="ctPCh">32</span>&nbsp;changed<br />
      price</td>
</tr>
</table>
</div>
<div align="left">
<table border="0" cellSpacing="0" cellPadding="2" width="588" style="border-collapse:collapse;">
<tr class="compareHeader topgradient">
<td class="compareTh alignLft" width="272">&nbsp;</td>
<td class="compareTh" width="177">&nbsp;</td>
<td class="compareTh" width="122">&nbsp;</td>
<td class="compareTh" width="124">&nbsp;</td>
<td class="compareTh" width="100">&nbsp;</td>
<td class="compareTh" width="123">&nbsp;</td>
<td class="compareTh" width="56">&nbsp;</td>
</tr>
<tr class="lightgradient" bgColor="#f7f7c1">
<td class="thisListing alignLft" width="272"><strong>This<br />
      Search Jefferson county March 2010</strong></td>
<td class="compareTh" width="177">Original Price</td>
<td class="compareTh" width="122">List Price</td>
<td class="compareTh" width="124">Sale Price</td>
<td class="compareTh" width="100">CDOM</td>
<td class="compareTh" width="123">Price Chg</td>
<td class="compareTh" width="56">% Price Chg</td>
</tr>
<tr class="compareHeader topgradient">
<td style="font-weight:bold;" class="compareTd alignLft" colSpan="7" width="1004">
      This Search (<span id="nbrMatch">37</span> Matches)</td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="272">Average</td>
<td class="compareTd" width="177">$182,442</td>
<td class="compareTd" width="122">$168,524</td>
<td class="compareTd" width="124">$164,725</td>
<td class="compareTd" width="100">180</td>
<td class="compareTd" width="123"><font color="red"><br />
      $-23,409</font></td>
<td class="compareTd" width="56"><font color="red"><br />
      -13.85%</font></td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="272">Median</td>
<td class="compareTd" width="177">$184,000</td>
<td class="compareTd" width="122">$179,900</td>
<td class="compareTd" width="124">$173,000</td>
<td class="compareTd" width="100">134</td>
<td class="compareTd" width="123"><font color="red"><br />
      $-20,050</font></td>
<td class="compareTd" width="56"><font color="red"><br />
      -11.98%</font></td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="272">Low</td>
<td class="compareTd" width="177">$64,900</td>
<td class="compareTd" width="122">$39,900</td>
<td class="compareTd" width="124">$39,900</td>
<td class="compareTd" width="100">12</td>
<td class="compareTd" width="123"><font color="red"><br />
      $-85,000</font></td>
<td class="compareTd" width="56"><font color="red"><br />
      -38.52%</font></td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="272">High</td>
<td class="compareTd" width="177">$299,900</td>
<td class="compareTd" width="122">$289,900</td>
<td class="compareTd" width="124">$289,900</td>
<td class="compareTd" width="100">628</td>
<td class="compareTd" width="123">$10,000</td>
<td class="compareTd" width="56">3.57%</td>
</tr>
<tr class="compareRow lightgradient">
<td style="padding-left:20px;" class="compareTd alignLft" width="254">
      <span style="cursor:pointer;"><br />
      Number of listings</span></td>
<td class="compareTd" width="177"><span id="ctOLP">37</span>&nbsp;w/Orig. Pr.</td>
<td class="compareTd" width="122">37</td>
<td class="compareTd" width="124"><span id="ctSP">37</span>&nbsp;sold</td>
<td class="compareTd" width="100">37</td>
<td class="compareTd" colSpan="2" width="184"><span id="ctPCh">22</span>&nbsp;changed<br />
      price</td>
</tr>
</table>
</div>
<p><a href="http://public.mlswis.com/link.html?rgndsa20kw8,,1">Click to view<br />
Jefferson county sales in 2010</a>&nbsp;&nbsp; Here are the number of sales for<br />
the top cities<br />
&nbsp;Fort Atkinson 3, Ixonia 5, Jefferson 6, Johnson Creek 6, Watertown 9.</p>
<div align="left">
<table border="0" cellSpacing="0" cellPadding="2" width="590" style="border-collapse:collapse;">
<tr class="lightgradient" bgColor="#f7f7c1">
<td class="thisListing alignLft" width="272"><strong>This<br />
      Search Jefferson county March 2009</strong></td>
<td class="compareTh" width="177">Original Price</td>
<td class="compareTh" width="122">List Price</td>
<td class="compareTh" width="124">Sale Price</td>
<td class="compareTh" width="100">CDOM</td>
<td class="compareTh" width="123">Price Chg</td>
<td class="compareTh" width="56">% Price Chg</td>
</tr>
<tr class="compareHeader topgradient">
<td style="font-weight:bold;" class="compareTd alignLft" colSpan="7" width="1004">
      This Search (<span id="nbrMatch">41</span> Matches)</td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="272">Average</td>
<td class="compareTd" width="177">$198,341</td>
<td class="compareTd" width="122">$187,170</td>
<td class="compareTd" width="124">$175,412</td>
<td class="compareTd" width="100">196</td>
<td class="compareTd" width="123"><font color="red"><br />
      $-16,964</font></td>
<td class="compareTd" width="56"><font color="red"><br />
      -8.76%</font></td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="272">Median</td>
<td class="compareTd" width="177">$199,900</td>
<td class="compareTd" width="122">$199,900</td>
<td class="compareTd" width="124">$179,900</td>
<td class="compareTd" width="100">159</td>
<td class="compareTd" width="123"><font color="red"><br />
      $-10,000</font></td>
<td class="compareTd" width="56"><font color="red"><br />
      -7.7%</font></td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="272">Low</td>
<td class="compareTd" width="177">$32,900</td>
<td class="compareTd" width="122">$32,900</td>
<td class="compareTd" width="124">$35,000</td>
<td class="compareTd" width="100">3</td>
<td class="compareTd" width="123"><font color="red"><br />
      $-75,000</font></td>
<td class="compareTd" width="56"><font color="red"><br />
      -28.61%</font></td>
</tr>
<tr class="compareRow lightgradient">
<td class="compareTd alignLft" width="272">High</td>
<td class="compareTd" width="177">$449,900</td>
<td class="compareTd" width="122">$449,900</td>
<td class="compareTd" width="124">$410,000</td>
<td class="compareTd" width="100">707</td>
<td class="compareTd" width="123">$15,073</td>
<td class="compareTd" width="56">6.28%</td>
</tr>
<tr class="compareRow lightgradient">
<td style="padding-left:20px;" class="compareTd alignLft" width="254">
      <span style="cursor:pointer;"><br />
      Number of listings</span></td>
<td class="compareTd" width="177"><span id="ctOLP">41</span>&nbsp;w/Orig. Pr.</td>
<td class="compareTd" width="122">41</td>
<td class="compareTd" width="124"><span id="ctSP">41</span>&nbsp;sold</td>
<td class="compareTd" width="100">41</td>
<td class="compareTd" colSpan="2" width="184"><span id="ctPCh">27</span>&nbsp;changed<br />
      price</td>
</tr>
</table>
</div>
<p>
&nbsp;</p>
<p>Dane County Sales under 300,000 for 2010<br />
<a href="http://scwmls.fnismls.com/publink/default.aspx?GUID=1d8b153e-a5f5-4d1c-b90e-39977b98f58c&amp;Report=Yes"><br />
Click Here to View Listings</a></p>
<table>
<tr align="right">
<td width="100">
<table cellSpacing="1" cellPadding="1" width="100" align="center">
<tr>
<td>&nbsp;</td>
</tr>
<tr align="right">
<td>LIST PRICE: </td>
</tr>
<tr align="right">
<td>SOLD PRICE: </td>
</tr>
<tr align="right">
<td>DOM: </td>
</tr>
</table>
</td>
<td>
<table style="border-collapse:collapse;" border="1" cellSpacing="0" cellPadding="1" width="485" align="center">
<tr style="font-weight:bold;" align="middle">
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="60">
        HIGH</td>
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="52">
        LOW</td>
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="77">
        AVERAGE</td>
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="67">
        MEDIAN</td>
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="105">
        TOTAL PRICE</td>
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="65">
        LISTING COUNT</td>
</tr>
<tr align="middle">
<td style="padding-left:5px;padding-right:5px;" width="60">
<div id="ag_lp_high">
          $329,000</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="52">
<div id="ag_lp_low">
          $49,900</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="77">
<div id="ag_lp_avg">
          $207,232</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="67">
<div id="ag_lp_median">
          $207,250</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="105">
<div id="ag_lp_total">
          $46,005,577</div>
</td>
<td rowSpan="2" width="73">
<div id="ag_listing_count">
          222</div>
</td>
</tr>
<tr align="middle">
<td style="padding-left:5px;padding-right:5px;" width="60">
<div id="ag_sp_high">
          $300,000</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="52">
<div id="ag_sp_low">
          $47,250</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="77">
<div id="ag_sp_avg">
          $200,108</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="67">
<div id="ag_sp_median">
          $200,000</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="105">
<div id="ag_sp_total">
          $44,423,996</div>
</td>
</tr>
<tr align="middle">
<td style="padding-left:5px;padding-right:5px;" width="60">
<div id="ag_dom_high">
          616</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="52">
<div id="ag_dom_low">
          0</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="77">
<div id="ag_dom_avg">
          96</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="67">
<div id="ag_dom_median">
          72</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="105">
<div>
          &nbsp;</div>
</td>
</tr>
</table>
</td>
</tr>
</table>
<p>&nbsp;</p>
<p>Compare to 2009 under 300,000</p>
<table>
<tr align="right">
<td width="100">
<table cellSpacing="1" cellPadding="1" width="100" align="center">
<tr>
<td>&nbsp;</td>
</tr>
<tr align="right">
<td>LIST PRICE: </td>
</tr>
<tr align="right">
<td>SOLD PRICE: </td>
</tr>
<tr align="right">
<td>DOM: </td>
</tr>
</table>
</td>
<td>
<table style="border-collapse:collapse;" border="1" cellSpacing="0" cellPadding="1" width="485" align="center">
<tr style="font-weight:bold;" align="middle">
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="60">
        HIGH</td>
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="52">
        LOW</td>
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="77">
        AVERAGE</td>
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="67">
        MEDIAN</td>
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="105">
        TOTAL PRICE</td>
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="65">
        LISTING COUNT</td>
</tr>
<tr align="middle">
<td style="padding-left:5px;padding-right:5px;" width="60">
<div id="ag_lp_high">
          $329,900</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="52">
<div id="ag_lp_low">
          $33,900</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="77">
<div id="ag_lp_avg">
          $198,379</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="67">
<div id="ag_lp_median">
          $199,900</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="105">
<div id="ag_lp_total">
          $45,032,123</div>
</td>
<td rowSpan="2" width="73">
<div id="ag_listing_count">
          227</div>
</td>
</tr>
<tr align="middle">
<td style="padding-left:5px;padding-right:5px;" width="60">
<div id="ag_sp_high">
          $300,000</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="52">
<div id="ag_sp_low">
          $33,900</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="77">
<div id="ag_sp_avg">
          $190,178</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="67">
<div id="ag_sp_median">
          $191,900</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="105">
<div id="ag_sp_total">
          $43,170,607</div>
</td>
</tr>
<tr align="middle">
<td style="padding-left:5px;padding-right:5px;" width="60">
<div id="ag_dom_high">
          400</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="52">
<div id="ag_dom_low">
          0</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="77">
<div id="ag_dom_avg">
          96</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="67">
<div id="ag_dom_median">
          75</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="105">
<div>
          &nbsp;</div>
</td>
</tr>
</table>
</td>
</tr>
</table>
<p>&nbsp;</p>
<p>Dane County Sales over 300,000 for 2010<br />
<a href="http://scwmls.fnismls.com/publink/default.aspx?GUID=7d3b44ee-b617-4e95-b992-73750321f360&amp;Report=Yes"><br />
Click Here to View Listings</a></p>
<table>
<tr align="right">
<td width="100">
<table cellSpacing="1" cellPadding="1" width="100" align="center">
<tr>
<td>&nbsp;</td>
</tr>
<tr align="right">
<td>LIST PRICE: </td>
</tr>
<tr align="right">
<td>SOLD PRICE: </td>
</tr>
<tr align="right">
<td>DOM: </td>
</tr>
</table>
</td>
<td>
<table style="border-collapse:collapse;" border="1" cellSpacing="0" cellPadding="1" width="486" align="center">
<tr style="font-weight:bold;" align="middle">
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="72">
        HIGH</td>
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="60">
        LOW</td>
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="77">
        AVERAGE</td>
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="67">
        MEDIAN</td>
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="105">
        TOTAL PRICE</td>
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="65">
        LISTING COUNT</td>
</tr>
<tr align="middle">
<td style="padding-left:5px;padding-right:5px;" width="72">
<div id="ag_lp_high">
          $1,425,000</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="60">
<div id="ag_lp_low">
          $254,900</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="77">
<div id="ag_lp_avg">
          $476,149</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="67">
<div id="ag_lp_median">
          $410,000</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="105">
<div id="ag_lp_total">
          $29,045,145</div>
</td>
<td rowSpan="2" width="73">
<div id="ag_listing_count">
          61</div>
</td>
</tr>
<tr align="middle">
<td style="padding-left:5px;padding-right:5px;" width="72">
<div id="ag_sp_high">
          $1,173,000</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="60">
<div id="ag_sp_low">
          $300,000</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="77">
<div id="ag_sp_avg">
          $453,112</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="67">
<div id="ag_sp_median">
          $410,000</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="105">
<div id="ag_sp_total">
          $27,639,868</div>
</td>
</tr>
<tr align="middle">
<td style="padding-left:5px;padding-right:5px;" width="72">
<div id="ag_dom_high">
          450</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="60">
<div id="ag_dom_low">
          0</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="77">
<div id="ag_dom_avg">
          117</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="67">
<div id="ag_dom_median">
          71</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="105">
<div>
          &nbsp;</div>
</td>
</tr>
</table>
</td>
</tr>
</table>
<p>&nbsp;</p>
<p>Compare to 2009 sales over 300,000</p>
<table>
<tr align="right">
<td width="100">
<table cellSpacing="1" cellPadding="1" width="100" align="center">
<tr>
<td>&nbsp;</td>
</tr>
<tr align="right">
<td>LIST PRICE: </td>
</tr>
<tr align="right">
<td>SOLD PRICE: </td>
</tr>
<tr align="right">
<td>DOM: </td>
</tr>
</table>
</td>
<td>
<table style="border-collapse:collapse;" border="1" cellSpacing="0" cellPadding="1" width="491" align="center">
<tr style="font-weight:bold;" align="middle">
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="72">
        HIGH</td>
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="60">
        LOW</td>
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="77">
        AVERAGE</td>
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="67">
        MEDIAN</td>
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="105">
        TOTAL PRICE</td>
<td style="padding-left:5px;padding-right:5px;" class="SummaryHeader" width="65">
        LISTING COUNT</td>
</tr>
<tr align="middle">
<td style="padding-left:5px;padding-right:5px;" width="72">
<div id="ag_lp_high">
          $1,350,000</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="60">
<div id="ag_lp_low">
          $274,900</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="77">
<div id="ag_lp_avg">
          $426,460</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="67">
<div id="ag_lp_median">
          $364,875</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="105">
<div id="ag_lp_total">
          $20,896,541</div>
</td>
<td rowSpan="2" width="73">
<div id="ag_listing_count">
          49</div>
</td>
</tr>
<tr align="middle">
<td style="padding-left:5px;padding-right:5px;" width="72">
<div id="ag_sp_high">
          $1,125,000</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="60">
<div id="ag_sp_low">
          $300,000</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="77">
<div id="ag_sp_avg">
          $405,351</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="67">
<div id="ag_sp_median">
          $353,750</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="105">
<div id="ag_sp_total">
          $19,862,203</div>
</td>
</tr>
<tr align="middle">
<td style="padding-left:5px;padding-right:5px;" width="72">
<div id="ag_dom_high">
          427</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="60">
<div id="ag_dom_low">
          0</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="77">
<div id="ag_dom_avg">
          125</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="67">
<div id="ag_dom_median">
          103</div>
</td>
<td style="padding-left:5px;padding-right:5px;" width="105">
<div>
          &nbsp;</div>
</td>
</tr>
</table>
</td>
</tr>
</table>
<p>&nbsp;</p>
<p>If you like this report please comment or share with someone.</p>
<p>Brad Koenig</p>
<div>
  <strong><span style="color:#ff0000;">Your Local Home Team, LLC-First Weber<br />
  Realtors</span></strong></div>
<div>
  <a href="http://www.yourlocalhometeam.com/"><br />
  www.YourLocalHomeTeam.com</a> Search for homes in the area!<br />
  <a href="mailto:Sold@YourLocalHomeTeam.com">Sold@YourLocalHomeTeam.com</a></div>
<div>
  <strong>262-719-7393 Office/Cell</strong></div>
<div>
  <strong>262-364-3404 Direct Fax</strong></div>
<div>
  <em>Proudly Serving Southcentral Wisconsin with Referrals from our Clients</em></div>
<div>
  Visit my LinkedIn profile:<br />
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