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	<title>Apartment Rent Data And Analysis - Rent Jungle &#187; Rent vs Buy</title>
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	<description>Apartment Rent Data And Analysis</description>
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		<title>Is Now a Good Time To Buy A House?</title>
		<link>http://www.rentjungle.com/rentdata/105/is-now-a-good-time-to-buy-a-house/</link>
		<comments>http://www.rentjungle.com/rentdata/105/is-now-a-good-time-to-buy-a-house/#respond</comments>
		<pubDate>Tue, 17 Nov 2009 18:57:41 +0000</pubDate>
		<dc:creator>Rent Jungle</dc:creator>
				<category><![CDATA[General Apartment Market News]]></category>
		<category><![CDATA[Apartments]]></category>
		<category><![CDATA[Rent vs Buy]]></category>
		<category><![CDATA[Vacancy]]></category>

		<guid isPermaLink="false">http://www.rentjungle.com/rentdata/105/is-now-a-good-time-to-buy-a-house/</guid>
		<description><![CDATA[The WSJ put together a great Q&#38;A on whether now is the right time to move from renting to buying. General gist is that renting is still a great deal due to the amount of incentives that are given today. From the article
&#8220;Generally, it doesn&#8217;t make sense to buy unless you expect to remain in [...]]]></description>
			<content:encoded><![CDATA[<p>The WSJ put together a great Q&amp;A on whether now is the right time to move from renting to buying. General gist is that renting is still a great deal due to the amount of incentives that are given today. From <a href="http://online.wsj.com/article/SB125841123967851223.html?mod=rss_Today%27s_Most_Popular">the article</a></p>
<blockquote><p>&#8220;Generally, it doesn&#8217;t make sense to buy unless you expect to remain in the house for at least four or five years, because the transaction costs &#8212; including commissions for real estate agents and mortgage fees &#8212; are heavy.</p>
</blockquote>
<blockquote><p>But now is clearly a good time to rent. Many landlords need tenants badly. The national apartment-vacancy rate in the third quarter was 7.8%, the highest in 23 years, according to Reis Inc., a New York research firm. So landlords are cutting rents and offering such sweeteners as free flat-screen televisions or several months of free rent to retain or attract tenants&#8221;</p>
</blockquote>
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		<item>
		<title>Best Cities to Get Back on Your Feet &#8211; October, 2009</title>
		<link>http://www.rentjungle.com/rentdata/100/best-cities-to-get-back-on-your-feet-october-2009/</link>
		<comments>http://www.rentjungle.com/rentdata/100/best-cities-to-get-back-on-your-feet-october-2009/#respond</comments>
		<pubDate>Wed, 07 Oct 2009 18:32:21 +0000</pubDate>
		<dc:creator>Rent Jungle</dc:creator>
				<category><![CDATA[Best Cities to Get Back On Your Feet]]></category>
		<category><![CDATA[Foreclosure]]></category>
		<category><![CDATA[Indexes]]></category>
		<category><![CDATA[Rent vs Buy]]></category>

		<guid isPermaLink="false">http://www.rentjungle.com/rentdata/?p=100</guid>
		<description><![CDATA[Losing a job and losing a home can be devastating. Unfortunately, this has been a tragic reality for many Americans. To help them out, Rentjungle.com has compiled a list of best cities for starting over. The survey measured such indicators as average rents and home values, median incomes and unemployment rates. Topping the list of [...]]]></description>
			<content:encoded><![CDATA[<p>Losing a job and losing a home can be devastating. Unfortunately, this has been a tragic reality for many Americans. To help them out, Rentjungle.com has compiled a list of best cities for starting over. The survey measured such indicators as average rents and home values, median incomes and unemployment rates. Topping the list of best places to get back on your feet were Indianapolis, Pittsburgh and Oklahoma City. All three boast high income ranks (24, 33 and 40 respectively) and low rent ranks (6, 12 and 4). The worst cities for new beginnings were Los Angeles, Miami and New York.  Income ranks for these three cities were 35, 44 and 30, but rent ranks were 41, 38 and 45. With this information in hand, Rentjungle.com hopes people can better decide if moving to a new city might be in order.</p>
<p><span id="more-100"></span></p>
<p><br class="spacer_" /></p>
<p><strong>Best Cities To Get Back On Your Feet </strong></p>
<p><br class="spacer_" /></p>
<table border="1" cellspacing="0" cellpadding="0" width="100%" align="center" bgcolor="#ffffff">
<tbody>
<tr>
<td><strong> Rank</strong></td>
<td><strong> City</strong></td>
<td><strong> Average Rent</strong></td>
<td><strong> Median Home Value</strong></td>
<td><strong> Median Income</strong></td>
<td><strong> Unemployment</strong></td>
</tr>
<tr align="right">
<td>1</td>
<td align="left">Indianapolis</td>
<td>735</td>
<td>100,988</td>
<td>65,100</td>
<td>8.7</td>
</tr>
<tr align="right">
<td>2</td>
<td align="left">Pittsburgh</td>
<td>775</td>
<td>92,107</td>
<td>60,000</td>
<td>7.8</td>
</tr>
<tr align="right">
<td>3</td>
<td align="left">Oklahoma City</td>
<td>716</td>
<td>119,613</td>
<td>55,300</td>
<td>5.9</td>
</tr>
<tr align="right">
<td>4</td>
<td align="left">Cincinnati</td>
<td>692</td>
<td>102,555</td>
<td>66,200</td>
<td>10.3</td>
</tr>
<tr align="right">
<td>5</td>
<td align="left">Omaha</td>
<td>773</td>
<td>187,972</td>
<td>67,100</td>
<td>5.3</td>
</tr>
<tr align="right">
<td>6</td>
<td align="left">San Antonio</td>
<td>754</td>
<td>98,335</td>
<td>49,100</td>
<td>6.9</td>
</tr>
<tr align="right">
<td>7</td>
<td align="left">Kansas City</td>
<td>825</td>
<td>114,373</td>
<td>67,800</td>
<td>8.9</td>
</tr>
<tr align="right">
<td>8</td>
<td align="left">Hartford</td>
<td>963</td>
<td>140,799</td>
<td>81,100</td>
<td>8.2</td>
</tr>
<tr align="right">
<td>9</td>
<td align="left">Cleveland</td>
<td>757</td>
<td>75,580</td>
<td>62,100</td>
<td>9.3</td>
</tr>
<tr align="right">
<td>10</td>
<td align="left">Baltimore</td>
<td>1,118</td>
<td>127,781</td>
<td>78,200</td>
<td>8.0</td>
</tr>
</tbody>
</table>
<p><strong><br />
 </strong></p>
<p><strong>Worst Cities To Get Back On Your Feet </strong></p>
<p><br class="spacer_" /></p>
<table border="1" cellspacing="0" cellpadding="0" width="100%" bgcolor="#ffffff">
<tbody>
<tr>
<td><strong> Rank</strong></td>
<td><strong> City</strong></td>
<td><strong> Average Rent</strong></td>
<td><strong> Average Home Value</strong></td>
<td><strong> Median Income</strong></td>
<td><strong> Unemployment</strong></td>
</tr>
<tr align="right">
<td>1</td>
<td align="left">Los Angeles</td>
<td>1,651</td>
<td>391,906</td>
<td>59,800</td>
<td>11.7</td>
</tr>
<tr align="right">
<td>2</td>
<td align="left">Miami</td>
<td>1,513</td>
<td>189,579</td>
<td>49,200</td>
<td>10.8</td>
</tr>
<tr align="right">
<td>3</td>
<td align="left">New York</td>
<td>2,458</td>
<td>440,805</td>
<td>63,000</td>
<td>9.1</td>
</tr>
<tr align="right">
<td>4</td>
<td align="left">San Francisco</td>
<td>1,814</td>
<td>681,869</td>
<td>94,300</td>
<td>10.5</td>
</tr>
<tr align="right">
<td>5</td>
<td align="left">Chicago</td>
<td>1,614</td>
<td>207,050</td>
<td>71,100</td>
<td>10.6</td>
</tr>
<tr align="right">
<td>6</td>
<td align="left">San Diego</td>
<td>1,477</td>
<td>375,025</td>
<td>72,100</td>
<td>10.3</td>
</tr>
<tr align="right">
<td>7</td>
<td align="left">Orlando</td>
<td>944</td>
<td>129,740</td>
<td>59,200</td>
<td>11.0</td>
</tr>
<tr align="right">
<td>8</td>
<td align="left">Tampa</td>
<td>944</td>
<td>127,587</td>
<td>56,500</td>
<td>11.3</td>
</tr>
<tr align="right">
<td>9</td>
<td align="left">Oakland</td>
<td>1,518</td>
<td>348,674</td>
<td>94,300</td>
<td>10.5</td>
</tr>
<tr align="right">
<td>10</td>
<td align="left">Charlotte</td>
<td>911</td>
<td>155,530</td>
<td>64,300</td>
<td>12.4</td>
</tr>
</tbody>
</table>
<p><br class="spacer_" /></p>
<p>In order to scour the million-plus rental ads on the Internet, Rentjungle.com employs innovate spidering technology that can detect both when new rentals come on the market and when rents for a particular property change. All of this data is analyzed and stored in order to keep users abreast of the latest happenings in the rental market. Trends can be tracked by city and by neighborhood, furthering the site’s value to users. Lastly, users can see searches on an easy, interactive map that links to satellite street views. They can get an idea of what awaits outside their front window without having to physically visit the place—especially useful if they’re moving to a new city or want to apartment hunt at 2am.</p>
]]></content:encoded>
			<wfw:commentRss>http://www.rentjungle.com/rentdata/100/best-cities-to-get-back-on-your-feet-october-2009/feed/</wfw:commentRss>
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		</item>
		<item>
		<title>Best Cities to Rent vs Buy – September, 2009</title>
		<link>http://www.rentjungle.com/rentdata/95/best-cities-to-rent-vs-buy-septembe-2009/</link>
		<comments>http://www.rentjungle.com/rentdata/95/best-cities-to-rent-vs-buy-septembe-2009/#respond</comments>
		<pubDate>Wed, 07 Oct 2009 18:14:12 +0000</pubDate>
		<dc:creator>Rent Jungle</dc:creator>
				<category><![CDATA[Best Cities to Rent vs. Buy]]></category>
		<category><![CDATA[Indexes]]></category>
		<category><![CDATA[Rent vs Buy]]></category>

		<guid isPermaLink="false">http://www.rentjungle.com/rentdata/?p=95</guid>
		<description><![CDATA[Knowing whether to sign a lease or a stack of mortgage papers is not always clear. But Rentjungle.com is shedding light on the matter with a new guide to cities that compares renting versus buying by considering the combined cost of average mortgages, taxes and insurance and comparing those to average rents. Much of this [...]]]></description>
			<content:encoded><![CDATA[<p>Knowing whether to sign a lease or a stack of mortgage papers is not always clear. But Rentjungle.com is shedding light on the matter with a new guide to cities that compares renting versus buying by considering the combined cost of average mortgages, taxes and insurance and comparing those to average rents. Much of this data is drawn from the over 1 million apartment ads Rentjungle.com analyzes each month. As of September, the best places to dive into the home market were Houston and Cleveland. In these cities, buying is 52% and 40% cheaper than renting. In contrast, the housing markets in San Francisco and Seattle are so hot that in the former it’s 54% cheaper to rent and in the latter it’s 49%.</p>
<p><span id="more-95"></span><br class="spacer_" /></p>
<p><strong>Top Cities to Rent</strong></p>
<p><strong><br />
 </strong></p>
<table border="1" cellspacing="0" cellpadding="0" width="100%" bgcolor="#ffffff">
<tbody>
<tr>
<td><strong> Rank</strong></td>
<td><strong> City</strong></td>
<td><strong> 2 Bed Rental + Insurance</strong></td>
<td><strong> Mortgage+Taxes+Insurance</strong></td>
<td><strong> % Cheaper to Rent</strong></td>
</tr>
<tr align="right">
<td>1</td>
<td align="left">San Francisco</td>
<td>1,816</td>
<td>3,945</td>
<td>54%</td>
</tr>
<tr align="right">
<td>2</td>
<td align="left">Seattle</td>
<td>1,153</td>
<td>2,259</td>
<td>49%</td>
</tr>
<tr align="right">
<td>3</td>
<td align="left">Honolulu</td>
<td>1,601</td>
<td>2,813</td>
<td>43%</td>
</tr>
<tr align="right">
<td>4</td>
<td align="left">Anchorage</td>
<td>1,189</td>
<td>1,810</td>
<td>34%</td>
</tr>
<tr align="right">
<td>5</td>
<td align="left">Omaha</td>
<td>715</td>
<td>1,082</td>
<td>34%</td>
</tr>
<tr align="right">
<td>6</td>
<td align="left">Raleigh</td>
<td>774</td>
<td>1,169</td>
<td>34%</td>
</tr>
<tr align="right">
<td>7</td>
<td align="left">San Diego</td>
<td>1,474</td>
<td>2,221</td>
<td>34%</td>
</tr>
<tr align="right">
<td>8</td>
<td align="left">Albuquerque</td>
<td>752</td>
<td>1,134</td>
<td>34%</td>
</tr>
<tr align="right">
<td>9</td>
<td align="left">Colorado Springs</td>
<td>737</td>
<td>1,105</td>
<td>33%</td>
</tr>
<tr align="right">
<td>10</td>
<td align="left">Austin</td>
<td>1,003</td>
<td>1,448</td>
<td>31%</td>
</tr>
</tbody>
</table>
<p><br class="spacer_" /></p>
<p><strong>Top Cities to Buy</strong></p>
<p><br class="spacer_" /></p>
<table border="1" cellspacing="0" cellpadding="0" width="100%" bgcolor="#ffffff">
<tbody>
<tr>
<td><strong> Rank</strong></td>
<td><strong> City</strong></td>
<td><strong> 2 Bed Rental + Insurance</strong></td>
<td><strong> Mortgage+Taxes+Insurance</strong></td>
<td><strong> % Cheaper to Buy</strong></td>
</tr>
<tr align="right">
<td>1</td>
<td align="left">Houston</td>
<td>1,207</td>
<td>793</td>
<td>52%</td>
</tr>
<tr align="right">
<td>2</td>
<td align="left">Cleveland</td>
<td>739</td>
<td>527</td>
<td>40%</td>
</tr>
<tr align="right">
<td>3</td>
<td align="left">Dallas</td>
<td>1,408</td>
<td>1,014</td>
<td>39%</td>
</tr>
<tr align="right">
<td>4</td>
<td align="left">Detroit</td>
<td>804</td>
<td>618</td>
<td>30%</td>
</tr>
<tr align="right">
<td>5</td>
<td align="left">Chicago</td>
<td>1,673</td>
<td>1,302</td>
<td>29%</td>
</tr>
<tr align="right">
<td>6</td>
<td align="left">New Orleans</td>
<td>1,050</td>
<td>846</td>
<td>24%</td>
</tr>
<tr align="right">
<td>7</td>
<td align="left">Pittsburgh</td>
<td>788</td>
<td>645</td>
<td>22%</td>
</tr>
<tr align="right">
<td>8</td>
<td align="left">Baltimore</td>
<td>1,136</td>
<td>977</td>
<td>16%</td>
</tr>
<tr align="right">
<td>9</td>
<td align="left">Louisville</td>
<td>743</td>
<td>681</td>
<td>9%</td>
</tr>
<tr align="right">
<td>10</td>
<td align="left">Kansas City</td>
<td>787</td>
<td>740</td>
<td>6%</td>
</tr>
</tbody>
</table>
<p><br class="spacer_" /></p>
<p>In order to scour the million-plus rental ads on the Internet, Rentjungle.com employs innovate spidering technology that can detect both when new rentals come on the market and when rents for a particular property change. All of this data is analyzed and stored in order to keep users abreast of the latest happenings in the rental market. Trends can be tracked by city and by neighborhood, furthering the site’s value to users. Lastly, users can see searches on an easy, interactive map that links to satellite street views. They can get an idea of what awaits outside their front window without having to physically visit the place—especially useful if they’re moving to a new city or want to apartment hunt at 2am.</p>
]]></content:encoded>
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