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 <title>Philadelphia</title>
 <link>http://www.newgeography.com/category/story-topics/urban-issues/philadelphia</link>
 <description>The taxonomy view with a depth of 0.</description>
 <language>en</language>
<item>
 <title>Back to the City?</title>
 <link>http://www.newgeography.com/content/002514-back-city</link>
 <description>&lt;p&gt;The 2010 Census results were mostly bleak for cities, especially  for those who believed the inflated hype about the resurgence of the city at  the expense of the suburbs.  Despite  claims of an urban renaissance, the 2000s actually turned out to be &lt;a href=&quot;http://www.newgeography.com/content/002202-rethinking-urban-dynamics-lessons-census&quot;&gt;worse  than the 1990s&lt;/a&gt; for central cities.   The one bright spot was downtowns, which showed strong gains, albeit  from a low base.  The resurgence of the  city story seemed largely fueled by intra-census estimates by the government  that proved to be wildly inflated when the actual 2010 count was performed.&lt;/p&gt;
&lt;p&gt;But beyond the headline numbers, there is intriguing  evidence of a shift in intra-regional population dynamics in the migration  numbers. The Internal Revenue Service uses tax return data to track movements  of people around the country on a county-to-county and state-to-state basis. These  can be used to look at movements of people within a metro area.&lt;/p&gt;
&lt;p&gt;Because this data is at the county level, it does not map  directly to what we might think of as the “urban core” as most counties that  are home to central cities contain large suburban areas as well. There are also  areas inside many central cities themselves that are suburban in their built  form.&lt;/p&gt;
&lt;p&gt;However, there are a limited number of cities that have  combined city-county definitions that approximate the urban core. Looking at a  few of these – New York, Philadelphia, San Francisco, and Washington, DC – we  see that over the 2000s out-migration from the core to the suburban counties  was relatively flat or even declined late in the decade as general mobility  declined in the Great Recession. In contrast, migration from the suburban  counties to the core stayed flat or actually increased, even late in the decade  when again overall migration declined nationally.&lt;/p&gt;
&lt;p&gt;It should be stressed that the overall trend is still that  of net out-migration from the core to the suburbs. But in searching for any  potential inflection point, changes in the dynamics are clearly of interest.&lt;/p&gt;
&lt;p&gt;&lt;em&gt;New York City&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;First let us look at New York City. The city proper consists  of five boroughs, each of which is a separate county. Treating the city as a  whole as the core reveals these migration trends during the 2000s:&lt;/p&gt;
&lt;p&gt;&lt;img src=&quot;http://www.newgeography.com/files/renn-mig-1.png&quot; /&gt;&lt;br /&gt;
    &lt;em&gt;Note: Core defined as the five boroughs of New York City&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;This chart renders migration as an index, to show changes in  in- and out-migration on the same scale. This should not be confused with the  total number of people moving, which still shows overall net out-migration,  though the trend lines show the same dynamic as above:&lt;/p&gt;
&lt;p&gt;&lt;img src=&quot;http://www.newgeography.com/files/renn-mig-2.png&quot; /&gt;&lt;br /&gt;
    &lt;em&gt;Note: Core defined as the five boroughs of New York City&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;Philadelphia&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;Perhaps the most dramatic shift in these four cities was in  Philadelphia, where the central city actually gained population for the first  time since 1950.&lt;br /&gt;
  &lt;img src=&quot;http://www.newgeography.com/files/renn-mig-3.png&quot; /&gt;&lt;/p&gt;
&lt;p&gt;Here are the raw migration numbers, which again show net  out-migration, but a distinct shift over the decade.&lt;/p&gt;
&lt;p&gt;&lt;img src=&quot;http://www.newgeography.com/files/renn-mig-4.png&quot; /&gt;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;San Francisco&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;The Bay Area has been divided into two metro areas by the  government, San Francisco and San Jose. Therefore, an intra-regional migration  analysis looking at San Francisco alone will miss certain migration within the  broader Bay Area. With that caveat in mind, we see again the same trend, albeit  somewhat less pronounced:&lt;/p&gt;
&lt;p&gt;&lt;img src=&quot;http://www.newgeography.com/files/renn-mig-5.png&quot; /&gt;&lt;/p&gt;
&lt;p&gt;And here are the total migrants:&lt;/p&gt;
&lt;p&gt;&lt;img src=&quot;http://www.newgeography.com/files/renn-mig-6.png&quot; /&gt;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;Washington, DC&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;Due to its very nature as a government town, Washington’s  migration patterns differ from the many other cities. However, it has still  experienced the same suburbanization phenomenon as the rest of America, and the  same changes in intra-regional migration dynamics as the other cities  highlighted here, though we see the shift beginning only in mid-decade:&lt;/p&gt;
&lt;p&gt;&lt;img src=&quot;http://www.newgeography.com/files/renn-mig-7.png&quot; /&gt;&lt;/p&gt;
&lt;p&gt;And the raw values:&lt;/p&gt;
&lt;p&gt;&lt;img src=&quot;http://www.newgeography.com/files/renn-mig-8.png&quot; /&gt;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;Conclusion&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;Given the overblown triumphalist rhetoric about the urban  core that ultimately hasn’t been backed up by the data, we should be cautious  about reading too much into this. Again, net migration remains outward towards  the suburbs and away from denser cities to smaller, generally less dense ones  (from Chicago to Indianapolis or New York to Raleigh). Overall city population  figures were disappointing. And the housing crash and the Great Recession have  clearly wreaked havoc with migration patterns on a national level. &lt;/p&gt;
&lt;p&gt;Still, these are clearly figures that should inspire some at  least small-scale optimism in urban advocates.   There has clearly been a shift affecting the net migration in these  cities. And the same pattern is visible, though less easily attributable to  just the urban core, in a large number of other metros around the country.  In particular, the fact the in-migration from  the suburbs to the core held steady or even increased is a sign of some urban  health. &lt;/p&gt;
&lt;p&gt;Back to the city as a mass movement?  Not yet.   But it’s certainly an improvement. These intra-regional migration  statistics are key figures to keep an eye on as we look for any sign of a true  inflection point in the overall population trends for America’s urban centers.  The whole pattern could also shift again --- in one direction or the other ---  as the economy, albeit slowly, comes back to life and people once again get  back into the housing market.&lt;/p&gt;
&lt;p&gt;&lt;em&gt;Aaron  M. Renn is an independent writer on urban affairs based in the Midwest. His  writings appear at &lt;a href=&quot;http://www.urbanophile.com/&quot;&gt;The Urbanophile&lt;/a&gt;,  where this piece originally appeared. &lt;/em&gt;&lt;em&gt;&lt;a href=&quot;http://www.telestrian.com/&quot;&gt;&lt;em&gt;Telestrian&lt;/em&gt;&lt;/a&gt;&lt;/em&gt;&lt;em&gt; was used to analyze data and to  create charts for this piece.&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;Chicago photo by &lt;a href=http://www.flickr.com/photos/storm-crypt/2796415936/&gt;Storm Crypt / Flickr&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;
</description>
 <comments>http://www.newgeography.com/content/002514-back-city#comments</comments>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues">Urban Issues</category>
 <category domain="http://www.newgeography.com/category/story-topics/demographics">Demographics</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/new-york">New York</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/philadelphia">Philadelphia</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/san-francisco">San Francisco</category>
 <category domain="http://www.newgeography.com/category/story-topics/suburbs">Suburbs</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/washington-dc">Washington DC</category>
 <pubDate>Sat, 05 Nov 2011 01:38:34 -0400</pubDate>
 <dc:creator>Aaron M. Renn</dc:creator>
 <guid isPermaLink="false">2514 at http://www.newgeography.com</guid>
</item>
<item>
 <title>More Americans Move to Detached Houses</title>
 <link>http://www.newgeography.com/content/002506-more-americans-move-detached-houses</link>
 <description>&lt;p&gt;In defiance of the conventional wisdom in the national media  and among most planning professionals, Americans continue not only to prefer, but to move into single family detached houses. Data from the 2010 American Community  Survey indicates that such housing attracted 79.2% of the new households in the  51 major metropolitan areas (over 1,000,000 population) over the past decade. &lt;/p&gt;
&lt;p&gt;In contrast households in multi-unit buildings (apartments  and condominiums) represented 11.8% of the new housing, while two-unit attached  housing represented 11.3% of the increase. There was a 2.3% decline in the  &amp;quot;other&amp;quot; category of new housing, which includes mobile homes and  boats. A total of 4 million net new occupied detached houses were added in the  largest metropolitan areas, while there were 590,000 additional apartments and  condominiums and 570,000 attached houses (Figure 1). &lt;/p&gt;
&lt;p&gt;&lt;img src=http://www.newgeography.com/files/cox-detached-1.png /&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Detached Vacancy Rate  Rises Less than Multi-Unit: &lt;/strong&gt;Another conventional assumption is that single  family homes have been disproportionately abandoned by their occupants,  particularly since the collapse of the housing bubble. This is also not true.  In 2010 detached housing enjoyed a 92.4% occupancy rate in 2010 which is higher  than the 89.4% occupancy rate in attached housing and 84.2% occupancy rate in  multi-unit buildings. Because a more of the multi-unit housing is rental, it is  to be expected that the vacancies would be the highest in this category.  However, at the national level, overall vacancy rates rose the &lt;em&gt;most&lt;/em&gt; in multi-unit housing, with an  increase of 61%, from 10.7% in 2000 to 17.1% in 2010. The vacancy rate in  detached housing rose at a slower rate, from 7.3% in 2000 to 10.7% in 2010, an  increase of 48%. Attached housing – such as townshouses – have the slowest rise  in vacancy rate, from 8.4% in 2000 to 11.0% in 2010, an increase of 32% (Figure  2).&lt;/p&gt;
&lt;p&gt;&lt;img src=http://www.newgeography.com/files/cox-detached-2.png /&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Detached and Attached  Up in Most Markets, Apartments and Condominiums Down in Most: &lt;/strong&gt;The move to  detached housing was pervasive at the major metropolitan area level. Among the  51 largest metropolitan areas, the share of detached housing rose in 44 and  declined in seven. The share of attached housing rose in 32 of the metropolitan  areas, while declining in 19. Multi-unit housing experienced an increase in its  market share in only three markets, while declining in 48.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Largest Metropolitan  Areas: &lt;/strong&gt;Detached housing also increased more than attached housing and  multi-unit housing in each of the nation&#039;s five largest metropolitan areas.&lt;/p&gt;
&lt;div style=&quot;font-size: 14px; font-family: Georgia, serif; line-height: 1.35em;&quot;&gt;
&lt;ul&gt;
&lt;li&gt;In the largest metropolitan area, New York,  51.9% of the new housing was detached. This is considerably more than the 36.9%  detached market share in 2000. Multi-unit housing accounted for 24.1% of the  increase in the market. This is a far smaller share than the 55.7% that multi-unit  housing represented in 2000. Attached housing was 19.9% of the increase, nearly  3 times its 2000 share of 6.7%. This movement of New Yorkers to less dense  housing forms is particularly significant, in view of the fact that New York  has historically had the lowest share of lower density housing (detached and  attached) and the highest share of multi-unit houses.&lt;/li&gt;
&lt;li&gt;In the second largest metropolitan area, Los  Angeles, 96.0% of the new housing was detached. This is nearly double the 49.7%  that detached housing represented of the market in 2000. The balance of the new  housing was split between a share of 18.6% for multi-unit housing and a loss of  11.8% in the attached housing. The share of new units represented by multi-unit  houses was less one-half than its percentage of the market in 2000 (39.0%).&lt;/li&gt;
&lt;li&gt;In the third largest metropolitan area, Chicago,  95.9% of the new housing was detached, well above the 52.5% share in 2000.  There was a huge loss in apartment and condominium share, at 31% of the market,  while attached housing captured 40.4% of the market.&lt;/li&gt;
&lt;li&gt;In the fourth largest metropolitan area, Dallas  Fort Worth, 84.3% of the new housing was detached, well above the 62.0% share  in 2000. Multi-unit housing accounted for 13.5% of the increase, approximately one-half  the 2000 market share. Attached housing represented 3.2% of the increase.&lt;/li&gt;
&lt;li&gt;In the fifth largest metropolitan area,  Philadelphia, 77.6% of new housing was detached, well above the 45.3% market  share for detached housing in 2000. Apartments and condominiums accounted for  27.7% of the increase between 2000 and 2010, slightly more than the 2000 market  share 23.7%. Attached housing represented a minus 4.3% of the new housing.&lt;/li&gt;
&lt;/ul&gt;
&lt;/div&gt;
&lt;p&gt;Despite being only the fourth largest metropolitan area,  Dallas-Fort Worth accounted for 46% of the new housing in the five largest  metropolitan areas (Figure 3).&lt;/p&gt;
&lt;p&gt;&lt;img src=http://www.newgeography.com/files/cox-detached-3.png /&gt;&lt;/p&gt;
&lt;p&gt;The three largest metropolitan markets where there was an  increase in multi-unit housing share were San Jose, New Orleans and Denver. In  San Jose, 55.5% of new housing was multi-unit, while only 10.3 percent was  detached. New Orleans had a similar 10.5% detached new housing share, while  65.8% of the new housing was multi unit. In Denver, 31.3% of the new housing  was multi-unit, while 60.2% was detached.&lt;/p&gt;
&lt;p&gt;The share of detached housing also declined between 2000 and  2010 in Boston, Kansas City, Minneapolis-St. Paul and Portland. In each of  these metropolitan areas, the share of attached housing increased, while the  share of multi-unit housing decreased. Nonetheless, detached housing continued  to attract a majority of new housing in Kansas City (70.8 percent) and Portland  (56.6 percent). Despite Portland&#039;s strong planning emphasis on high density  housing, its share of multi-unit housing, and 26.8% between 2000 and 2010 was  less than its 2000 market share of 27.5%, with a strong 20.6 percent share in  attached housing. Attached housing also accounted for a comparatively large  share of new housing in Boston (45.7 percent), Minneapolis-St. Paul (39.7  percent) and Kansas City (25.8 percent). The stronger densification policies  that existed in Minneapolis-St. Paul until the middle of the decade may have  artificially raised the share of attached new housing.&lt;/p&gt;
&lt;p&gt;Share by housing type data is provided for the major  metropolitan areas in Tables 1 and 2.&lt;/p&gt;
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&lt;td height=&quot;24&quot; class=&quot;excel2&quot; width=&quot;212&quot; style=&quot;height:18.0pt;width:159pt;&quot;&gt;Table 1&lt;/td&gt;
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&lt;td height=&quot;24&quot; class=&quot;excel2&quot; colspan=&quot;5&quot; style=&quot;height:18.0pt;&quot;&gt;Occupied    Housing by Major Metropolitan Area: 2000&lt;/td&gt;
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&lt;td&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
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&lt;td height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;Metropolitan Area&lt;/td&gt;
&lt;td class=&quot;excel5&quot;&gt;Detached&lt;/td&gt;
&lt;td class=&quot;excel5&quot;&gt;Attached&lt;/td&gt;
&lt;td class=&quot;excel5&quot;&gt;Multi-Unit&lt;/td&gt;
&lt;td class=&quot;excel5&quot;&gt;Other&lt;/td&gt;
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&lt;td&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
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&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Atlanta, GA&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;66.6%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;3.5%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;25.5%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;4.4%&lt;/td&gt;
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&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Austin, TX&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;57.7%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;3.7%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;32.1%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;6.6%&lt;/td&gt;
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&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Baltimore, MD&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;46.0%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;28.5%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;24.2%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;1.3%&lt;/td&gt;
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&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Birmingham, AL&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;68.3%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;2.6%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;17.9%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;11.2%&lt;/td&gt;
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&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Boston, MA-NH&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;48.9%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;4.4%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;45.4%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;1.3%&lt;/td&gt;
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&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Buffalo, NY&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;60.0%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;2.8%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;35.1%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;2.1%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Charlotte, NC-SC&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;67.5%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;3.4%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;21.8%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;7.3%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Chicago, IL-IN-WI&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;52.5%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;6.3%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;40.1%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;1.1%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Cincinnati, OH-KY-IN&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;64.7%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;3.6%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;27.8%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;3.9%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Cleveland, OH&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;65.7%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;5.5%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;27.7%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;1.2%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Columbus, OH&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;62.8%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;5.5%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;29.1%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;2.6%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Dallas-Fort Worth, TX&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;62.0%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;3.1%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;30.3%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;4.6%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Denver, CO&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;60.9%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;7.8%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;29.0%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;2.3%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Detroit,  MI&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;70.5%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;5.5%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;20.7%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;3.3%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Hartford, CT&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;60.0%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;5.2%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;34.1%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;0.8%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Houston, TX&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;61.4%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;3.6%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;29.1%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;6.0%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Indianapolis. IN&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;68.4%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;5.2%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;23.2%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;3.3%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Jacksonville, FL&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;63.5%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;3.9%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;22.3%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;10.3%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Kansas City, MO-KS&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;71.3%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;4.6%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;21.4%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;2.6%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Las Vegas, NV&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;53.4%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;6.0%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;34.7%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;5.9%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Los Angeles, CA&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;49.7%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;8.6%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;39.6%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;2.0%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Louisville, KY-IN&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;70.7%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;2.1%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;22.2%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;5.0%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Memphis, TN-MS-AR&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;69.1%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;3.8%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;22.8%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;4.2%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Miami, FL&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;45.4%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;9.9%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;42.1%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;2.6%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Milwaukee,WI&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;55.7%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;5.3%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;38.3%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;0.7%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Minneapolis-St. Paul, MN-WI&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;62.8%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;7.7%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;27.4%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;2.0%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Nashville, TN&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;64.9%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;4.4%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;24.4%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;6.2%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;New Orleans. LA&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;59.9%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;7.7%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;28.5%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;3.9%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;New York, NY-NJ-PA&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;36.9%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;6.5%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;56.3%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;0.4%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Oklahoma City, OK&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;71.6%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;3.1%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;19.2%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;6.0%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Orlando, FL&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;61.5%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;4.5%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;25.1%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;8.9%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Philadelphia, PA-NJ-DE-MD&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;45.3%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;29.8%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;23.5%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;1.4%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Phoenix, AZ&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;61.6%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;6.1%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;24.9%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;7.4%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Pittsburgh, PA&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;68.8%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;6.5%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;20.4%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;4.4%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Portland, OR-WA&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;63.8%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;3.3%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;27.5%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;5.5%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Providence, RI-MA&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;54.3%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;2.9%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;41.6%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;1.2%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Raleigh, NC&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;63.6%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;5.2%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;21.5%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;9.8%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Richmond, VA&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;71.3%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;4.9%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;20.4%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;3.4%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Riverside-San Bernardino, CA&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;67.0%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;5.1%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;18.6%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;9.3%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Rochester, NY&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;65.7%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;4.3%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;26.5%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;3.5%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Sacramento, CA&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;66.1%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;6.0%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;24.0%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;3.9%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Salt Lake City, UT&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;67.0%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;4.8%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;25.4%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;2.8%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;San Antonio, TX&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;67.4%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;2.9%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;22.2%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;7.5%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;San Diego, CA&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;51.7%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;9.4%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;34.5%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;4.4%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;San Francisco-Oakland, CA&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;50.3%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;9.3%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;39.1%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;1.3%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;San Jose, CA&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;57.0%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;9.1%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;30.5%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;3.4%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Seattle, WA&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;60.2%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;3.5%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;31.6%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;4.8%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;St. Louis,, MO-IL&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;70.2%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;3.1%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;21.9%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;4.8%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Tampa-St. Petersburg, FL&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;58.4%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;4.6%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;25.7%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;11.4%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Virginia Beach-Norfolk, VA-NC&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;61.4%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;10.4%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;25.2%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;3.0%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Washington, DC-VA-MD-WV&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;47.6%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;19.4%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;32.1%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;0.8%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel3&quot; style=&quot;height:14.25pt;&quot;&gt;Average (Weighted)&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;55.9%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;7.5%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;33.3%&lt;/td&gt;
&lt;td class=&quot;excel4&quot; align=&quot;right&quot;&gt;3.3%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;&lt;/td&gt;
&lt;td class=&quot;excel4&quot;&gt;&lt;/td&gt;
&lt;td class=&quot;excel4&quot;&gt;&lt;/td&gt;
&lt;td class=&quot;excel4&quot;&gt;&lt;/td&gt;
&lt;td class=&quot;excel4&quot;&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;Data from 2000 Census&lt;/td&gt;
&lt;td class=&quot;excel4&quot;&gt;&lt;/td&gt;
&lt;td class=&quot;excel4&quot;&gt;&lt;/td&gt;
&lt;td class=&quot;excel4&quot;&gt;&lt;/td&gt;
&lt;td class=&quot;excel4&quot;&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; colspan=&quot;4&quot; style=&quot;height:14.25pt;&quot;&gt;Metropolitan    areas over 1,000,000 population as defined in 2010&lt;/td&gt;
&lt;td class=&quot;excel4&quot;&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;/table&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;table cellspacing=&quot;0&quot; cellpadding=&quot;0&quot; class=&quot;excel6&quot;&gt;
  &lt;col width=&quot;216&quot; style=&quot;width:162pt;&quot; /&gt;&lt;br /&gt;
  &lt;col width=&quot;69&quot; span=&quot;4&quot; style=&quot;width:52pt;&quot; /&gt;&lt;/p&gt;
&lt;tr height=&quot;24&quot; style=&quot;height:18.0pt;&quot;&gt;
&lt;td height=&quot;24&quot; class=&quot;excel7&quot; width=&quot;216&quot; style=&quot;height:18.0pt;width:162pt;&quot;&gt;Table 2&lt;/td&gt;
&lt;td width=&quot;69&quot; style=&quot;width:52pt;&quot;&gt;&lt;/td&gt;
&lt;td width=&quot;69&quot; style=&quot;width:52pt;&quot;&gt;&lt;/td&gt;
&lt;td width=&quot;69&quot; style=&quot;width:52pt;&quot;&gt;&lt;/td&gt;
&lt;td width=&quot;69&quot; style=&quot;width:52pt;&quot;&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;24&quot; style=&quot;height:18.0pt;&quot;&gt;
&lt;td height=&quot;24&quot; class=&quot;excel7&quot; colspan=&quot;5&quot; style=&quot;height:18.0pt;&quot;&gt;Occupied    Housing by Major Metropolitan Area: 2010&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;Metropolitan Area&lt;/td&gt;
&lt;td class=&quot;excel9&quot;&gt;Detached&lt;/td&gt;
&lt;td class=&quot;excel9&quot;&gt;Attached&lt;/td&gt;
&lt;td class=&quot;excel9&quot;&gt;Multi-Unit&lt;/td&gt;
&lt;td class=&quot;excel9&quot;&gt;Other&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Atlanta, GA&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;69.2%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;5.3%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;22.7%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;2.7%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Austin, TX&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;60.4%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;2.6%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;31.8%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;5.1%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Baltimore, MD&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;47.4%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;27.3%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;24.2%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;1.1%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Birmingham, AL&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;70.8%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;2.4%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;16.8%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;10.0%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Boston, MA-NH&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;48.7%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;5.9%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;44.2%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;1.2%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Buffalo, NY&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;62.3%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;2.9%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;33.0%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;1.8%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Charlotte, NC-SC&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;68.9%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;5.1%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;20.4%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;5.6%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Chicago, IL-IN-WI&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;54.2%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;7.6%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;37.1%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;1.1%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Cincinnati, OH-KY-IN&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;68.9%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;4.8%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;23.2%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;3.1%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Cleveland, OH&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;68.7%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;5.1%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;25.1%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;1.1%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Columbus, OH&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;64.1%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;7.3%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;26.6%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;2.1%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Dallas-Fort Worth, TX&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;65.9%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;3.1%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;27.4%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;3.6%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Denver, CO&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;60.8%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;7.9%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;29.4%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;1.9%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Detroit,  MI&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;71.6%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;6.3%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;19.1%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;2.9%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Hartford, CT&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;60.9%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;5.3%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;33.1%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;0.7%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Houston, TX&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;65.1%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;3.5%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;26.0%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;5.3%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Indianapolis. IN&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;71.3%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;5.0%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;21.1%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;2.6%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Jacksonville, FL&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;66.3%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;4.8%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;21.3%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;7.6%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Kansas City, MO-KS&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;71.3%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;6.4%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;20.1%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;2.2%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Las Vegas, NV&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;60.9%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;5.4%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;29.9%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;3.8%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Los Angeles, CA&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;51.0%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;8.0%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;39.0%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;1.9%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Louisville, KY-IN&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;71.6%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;3.6%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;20.9%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;4.0%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Memphis, TN-MS-AR&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;72.5%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;3.3%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;20.4%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;3.7%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Miami, FL&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;47.0%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;10.8%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;40.0%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;2.1%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Milwaukee,WI&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;56.2%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;6.5%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;36.5%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;0.8%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Minneapolis-St. Paul, MN-WI&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;61.5%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;11.0%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;25.9%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;1.6%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Nashville, TN&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;67.2%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;5.6%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;22.3%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;4.9%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;New Orleans. LA&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;65.1%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;6.1%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;24.6%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;4.2%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;New York, NY-NJ-PA&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;37.2%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;6.7%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;55.7%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;0.4%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Oklahoma City, OK&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;74.3%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;3.0%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;17.1%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;5.6%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Orlando, FL&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;64.1%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;5.5%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;23.4%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;6.9%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Philadelphia, PA-NJ-DE-MD&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;46.6%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;28.5%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;23.7%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;1.3%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Phoenix, AZ&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;67.2%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;4.8%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;22.2%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;5.8%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Pittsburgh, PA&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;69.4%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;7.5%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;19.1%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;4.0%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Portland, OR-WA&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;62.8%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;5.5%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;27.4%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;4.3%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Providence, RI-MA&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;55.7%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;3.7%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;39.6%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;1.0%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Raleigh, NC&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;65.4%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;8.0%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;20.5%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;6.2%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Richmond, VA&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;73.2%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;4.9%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;19.0%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;3.0%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Riverside-San Bernardino, CA&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;70.7%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;4.3%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;17.1%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;7.9%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Rochester, NY&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;66.9%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;4.8%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;25.3%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;2.9%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Sacramento, CA&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;68.8%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;5.6%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;22.6%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;3.0%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Salt Lake City, UT&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;67.8%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;6.1%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;23.9%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;2.2%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;San Antonio, TX&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;70.8%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;2.2%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;21.1%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;5.9%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;San Diego, CA&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;53.0%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;9.0%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;34.5%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;3.5%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;San Francisco-Oakland, CA&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;50.7%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;9.4%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;38.8%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;1.1%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;San Jose, CA&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;54.3%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;10.7%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;32.0%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;3.0%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Seattle, WA&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;60.5%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;4.2%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;31.5%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;3.8%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;St. Louis,, MO-IL&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;70.8%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;4.2%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;21.1%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;3.9%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Tampa-St. Petersburg, FL&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;59.6%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;5.6%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;24.7%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;10.1%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Virginia Beach-Norfolk, VA-NC&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;62.5%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;11.1%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;24.0%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;2.5%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Washington, DC-VA-MD-WV&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;48.1%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;19.6%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;31.7%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;0.7%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;Average (Weighted)&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;57.8%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;7.9%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;31.5%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;2.8%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; class=&quot;excel8&quot; style=&quot;height:14.25pt;&quot;&gt;&lt;/td&gt;
&lt;td class=&quot;excel8&quot;&gt;&lt;/td&gt;
&lt;td class=&quot;excel8&quot;&gt;&lt;/td&gt;
&lt;td class=&quot;excel8&quot;&gt;&lt;/td&gt;
&lt;td class=&quot;excel8&quot;&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; colspan=&quot;3&quot; style=&quot;height:14.25pt;&quot;&gt;Data from    2010 American Community Survey&lt;/td&gt;
&lt;td class=&quot;excel8&quot;&gt;&lt;/td&gt;
&lt;td class=&quot;excel8&quot;&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot; style=&quot;height:14.25pt;&quot;&gt;
&lt;td height=&quot;19&quot; colspan=&quot;4&quot; style=&quot;height:14.25pt;&quot;&gt;Metropolitan    areas over 1,000,000 population as defined in 2010&lt;/td&gt;
&lt;td class=&quot;excel8&quot;&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;/table&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;In Housing,  Preference Trumps Policy: &lt;/strong&gt;The trend of the last decade is evidence of a continued  preference of American households for detached housing. The results are  remarkable for at least two reasons: &lt;/p&gt;
&lt;div style=&quot;font-size: 14px; font-family: Georgia, serif; line-height: 1.35em;&quot;&gt;
&lt;ul&gt;
&lt;li&gt;The first is that there have been unprecedented  policy initiatives to discourage, if not to prohibit the building of new  detached houses. It seems likely that the miniscule new detached housing share  in San Jose, for example, is a direct result of that metropolitan area&#039;s  virtual prohibition of new detached housing, rather than any evidence that  households have begun to prefer higher density housing. A small detached  housing share in the face of a strong public policy bias toward higher density  housing says nothing about preferences. &lt;/li&gt;
&lt;/ul&gt;
&lt;ul&gt;
&lt;li&gt;Second; the media and wishful advocates of denser  settlement patterns have continuously referred to detached housing as having  been severely overbuilt during the housing bubble, while suggesting an  imperative for households to move into multiunit, often rented housing. The new  data, with the larger increase in multi-unit vacancy rates, indicates that  there was at least as much overbuilding in more dense housing types as there  was in detached housing.&lt;/li&gt;
&lt;/ul&gt;
&lt;/div&gt;
&lt;p&gt;Despite the expressed preferences of planners, academics and  even many builders, American households continue to make their own decisions  about housing.&lt;/p&gt;
&lt;p&gt;&lt;em&gt;Wendell Cox is a Visiting Professor, Conservatoire  National des Arts et Metiers, Paris and the author of “&lt;a href=&quot;http://www.amazon.com/gp/product/0595399487?ie=UTF8&amp;amp;tag=newgeogrcom-20&amp;amp;linkCode=as2&amp;amp;camp=1789&amp;amp;creative=390957&amp;amp;creativeASIN=0595399487&quot;&gt;War  on the Dream: How Anti-Sprawl Policy Threatens the Quality of Life&lt;/a&gt;”&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;Lead photo: Houses in Los Angeles. Photograph by author.&lt;/em&gt;&lt;/p&gt;
</description>
 <comments>http://www.newgeography.com/content/002506-more-americans-move-detached-houses#comments</comments>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues">Urban Issues</category>
 <category domain="http://www.newgeography.com/census2010">Census 2010</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/dallas">Dallas</category>
 <category domain="http://www.newgeography.com/category/story-topics/demographics">Demographics</category>
 <category domain="http://www.newgeography.com/category/story-topics/housing">Housing</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/los-angeles">Los Angeles</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/new-york">New York</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/philadelphia">Philadelphia</category>
 <category domain="http://www.newgeography.com/category/story-topics/planning">Planning</category>
 <category domain="http://www.newgeography.com/category/story-topics/small-cities">Small Cities</category>
 <category domain="http://www.newgeography.com/category/story-topics/suburbs">Suburbs</category>
 <pubDate>Tue, 01 Nov 2011 01:38:34 -0400</pubDate>
 <dc:creator>Wendell Cox</dc:creator>
 <guid isPermaLink="false">2506 at http://www.newgeography.com</guid>
</item>
<item>
 <title>The Shifting Geography of Black America</title>
 <link>http://www.newgeography.com/content/002371-the-shifting-geography-black-america</link>
 <description>&lt;p&gt;Black population changes in various cities have been one of  the few pieces of the latest Census to receive significant media coverage.  &lt;em&gt;The New  York Times&lt;/em&gt;, for example, noted that &lt;a href=&quot;http://www.nytimes.com/2011/03/25/us/25south.html?pagewanted=all&quot;&gt;many  blacks have returned to the South&lt;/a&gt; nationally and &lt;a href=&quot;http://www.nytimes.com/2011/06/22/nyregion/many-black-new-yorkers-are-moving-to-the-south.html&quot;&gt;particularly  from New York City&lt;/a&gt;.  The overall  narrative has been one of a “reverse Great Migration.”  But while many northern cities did see anemic  growth or even losses in black population, and many southern cities saw their black  population surge, the real story actually extends well beyond the notion of a monolithic  return to the South.&lt;/p&gt;
&lt;p&gt;&lt;!--break--&gt;&lt;/p&gt;
&lt;p&gt;The map below, showing total growth in Black Only population  from 2000 to 2010, indeed shows that northern and west coast cities had low or  even negative growth while various southern cities boomed.&lt;/p&gt;
&lt;p&gt;&lt;img src=&quot;http://www.newgeography.com/files/renn-black-1.png&quot; /&gt;&lt;br clear=&quot;all&quot; /&gt;&lt;/p&gt;
&lt;p&gt;  Here is a list of the top ten metro areas (among those with  more than a million total people) for black population growth:&lt;/p&gt;
&lt;p&gt;&lt;img src=&quot;http://www.newgeography.com/files/renn-black-2.png&quot; /&gt;&lt;br clear=&quot;all&quot; /&gt;&lt;/p&gt;
&lt;p&gt;  And here are the bottom ten (among those with more than one  million people):&lt;/p&gt;
&lt;p&gt;&lt;img src=&quot;http://www.newgeography.com/files/renn-black-3.png&quot; /&gt;&lt;br clear=&quot;all&quot; /&gt;&lt;/p&gt;
&lt;p&gt;  Of course, looking at total population numbers can mislead.  Some cities grew slowly or lost people as a whole while others boomed. With  Houston, Dallas, and Atlanta all adding over a million people each, it&#039;s no  surprise these regions added lots of blacks. Working and middle class  African-Americans likely shared many of the same motivations to move to these  cities – such as lower housing prices – as Americans of other ethnicities. In  that light, a look at change in black population share (the percentage of the  population that is black) provides additional perspective:&lt;/p&gt;
&lt;p&gt;&lt;img src=&quot;http://www.newgeography.com/files/renn-black-4.png&quot; /&gt;&lt;br clear=&quot;all&quot; /&gt;&lt;/p&gt;
&lt;p&gt;  Here we see not a single-minded return to the South, but a  complex mixture of shrinking and growing regions in various parts of the  country.  This includes some surprising  places, like Minneapolis-St. Paul, which was one of the top ten metros in the country  for total black population growth, and also saw its black population share grow  strongly.  Now the Twin Cities, along  with Columbus, Ohio, another strong performer, are two of the top destination  for African immigrants from Somalia and elsewhere, which doubtless accounts for  part of that strong growth. But anecdotal reports indicate that they are also  benefitting from Chicago&#039;s expanding black diaspora, along with places like  Indianapolis and various Downstate metros. &lt;/p&gt;
&lt;p&gt;Atlanta, well known as America&#039;s premier metro area for  blacks, continued to dominate the charts. Not only far and away the leader in  adding raw numbers of blacks, the African-American share also grew share  strongly too. Charlotte is also clearly emerging as another key black population  hub, ranking #6 in America for total black population growth, which is  impressive for a smaller city, and adding nearly two percentage points in black  population share.  It grew its black  population much faster than other fast growing small cities like Raleigh or  Nashville, and added share at more than three times as fast.&lt;/p&gt;
&lt;p&gt;By contrast, Houston, which grew total black population  significantly, had a much lower share gain. Austin, one of America&#039;s fastest  growing metros, added only 28,000 blacks and actually lost black population  share. And Washington, DC, despite being a traditional black population and  cultural hub, also lost black population share regionally as gentrification in  the District resulted in its loss of its black majority for the first time in  decades, according to the Brookings Institution.  &lt;/p&gt;
&lt;p&gt;So even among rapidly growing metro areas in the South, the  appeal to black population is selective, favoring places like Atlanta,  Charlotte, Florida cities, and even slower growing cities along the length of  the Mississippi River like Memphis.  Even  some cities in the North are retaining their allure to blacks as well. Less  favored or even out of favor are metros like DC, Dallas, and Houston as well as  cities such as Charleston and Savannah along the southeast coast.&lt;/p&gt;
&lt;p&gt;Slow or negative black population growth is particularly  concentrated in traditional tier one “global cities”, as well as those facing  economic or other hardship like Detroit, Cleveland, and immediate post-Katrina New  Orleans. &lt;/p&gt;
&lt;p&gt;The latter may be understandable – whites have been leaving  these regions as well – but the former is quite troubling.  The global city model, focused on high end  and creative services, is supposedly the bright and shining savior of American  urbanism. Indeed, it&#039;s hard to find a city that doesn&#039;t have some aspect of  that as a core plank in its civic strategy. Yet the cities that have been most focused  at promoting this notion – such as New York, San Francisco, and Chicago – are  generally those  disproportionately driving  blacks away. The reasons for this aren&#039;t clear, but the high and increasing  cost of living in those places seems like one logical explanation.&lt;/p&gt;
&lt;p&gt;Here&#039;s a more detailed look at the percentage growth in  Black Only population in some tier one global type metros:&lt;/p&gt;
&lt;p&gt;&lt;img src=&quot;http://www.newgeography.com/files/renn-black-5.png&quot; /&gt;&lt;br clear=&quot;all&quot; /&gt;
&lt;/p&gt;
&lt;p&gt;New York barely broke even on black population, while  Chicago, LA, and the Bay Area all actually lost black residents, a stunning  reversal from their past as black magnets. However, Boston, not a traditional  black population hub, grew its black population strongly on a percentage basis,  as did Miami and DC, though as noted before, the share change in DC was  negative.  Here is that metric for the  same metros:&lt;/p&gt;
&lt;p&gt;&lt;img src=&quot;http://www.newgeography.com/files/renn-black-6.png&quot; /&gt;&lt;br clear=&quot;all&quot; /&gt;
&lt;/p&gt;
&lt;p&gt;With the notable exceptions of Boston and Miami – and  Philadelphia, seldom ranked highly as a global city but still a traditional  large northern metropolis – most global city regions appear to be increasingly  inhospitable to Blacks.  Thus their model  of success, whatever its appeal to some, at a basic level simply lacks  inclusiveness. This shows its clear limits as an overall model for America’s  urban centers as a whole.&lt;/p&gt;
&lt;p&gt;&lt;em&gt;Aaron  M. Renn is an independent writer on urban affairs based in the Midwest. His  writings appear at &lt;a href=&quot;http://www.urbanophile.com/&quot;&gt;The Urbanophile&lt;/a&gt;. Data analysis, maps, and charts in this piece were prepared with &lt;a href=&quot;http://telestrian.com/&quot;&gt;Telestrian&lt;/a&gt;.&lt;/em&gt;&lt;/p&gt;
</description>
 <comments>http://www.newgeography.com/content/002371-the-shifting-geography-black-america#comments</comments>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues">Urban Issues</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/atlanta">Atlanta</category>
 <category domain="http://www.newgeography.com/census2010">Census 2010</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/charlotte">Charlotte</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/cleveland">Cleveland</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/dallas">Dallas</category>
 <category domain="http://www.newgeography.com/category/story-topics/demographics">Demographics</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/houston">Houston</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/los-angeles">Los Angeles</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/new-york">New York</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/philadelphia">Philadelphia</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/washington-dc">Washington DC</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/chicago">Chicago</category>
 <pubDate>Fri, 05 Aug 2011 20:38:32 -0400</pubDate>
 <dc:creator>Aaron M. Renn</dc:creator>
 <guid isPermaLink="false">2371 at http://www.newgeography.com</guid>
</item>
<item>
 <title>New Jersey: Still Suburbanizing</title>
 <link>http://www.newgeography.com/content/002101-new-jersey-still-suburbanizing</link>
 <description>&lt;p&gt;The state of New    Jersey virtually defines suburbanization in the United States.  New Jersey is not home to the core of any  major metropolitan area but, major portions of the nation&#039;s largest  metropolitan area (New York) and the fifth largest metropolitan area (Philadelphia)  are in the state (See map). These two metropolitan areas comprise 17 of the state&#039;s  21 counties. Another county (Warren) is in the Allentown, Pennsylvania  metropolitan area, while Atlantic (Atlantic City), Cumberland and Cape May are  single-county metropolitan areas. No one, however, should make the mistake of  imagining that New Jersey is wall to wall suburbanization. In the 2000 census,  more than 60 percent of the state&#039;s land area was rural, with urban areas  (areas of continuous urban development) making up less than 40 percent of the  state&#039;s land area, while 94 percent of the 2000 population was urban (which  includes suburban).&lt;/p&gt;
&lt;p&gt;&lt;center&gt;
&lt;p&gt;&lt;img src=http://www.newgeography.com/files/new-jersey-county-map.png /&gt;Map courtesy of Passaic Public Library&lt;br clear=&quot;all&quot; /&gt;
  &lt;/p&gt;
&lt;p&gt;&lt;/center&gt;&lt;/p&gt;
&lt;p&gt;The recently released 2010 census data indicates that the  dispersion of New Jersey population, which was underway by 1900 and continued apace in the last decade.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;New Jersey&#039;s Larger  Municipalities: &lt;/strong&gt;This is not to suggest that it was a bad decade for the  larger municipalities in the state. However, the 20th century was not kind to New Jersey&#039;s largest  municipalities. At some point during the century, six municipalities reached a population  of 100,000 or more. Four of these municipalities were near the city of New York  and were eventually engulfed by its suburbanization (Newark, Jersey City,  Paterson and Elizabeth). Another, Camden, was engulfed by Philadelphia’s  expansion and the last, the state capital Trenton, is midway between the cores  of the two metropolitan areas and has more recently become a part of the New  York metropolitan area.&lt;/p&gt;
&lt;p&gt;The new decade started out better for these municipalities. Newark,  Jersey City, Elizabeth and Camden gained population  between 2000 and 2010. However, even after the population gains, Newark&#039;s population  remains 165,000 (37 percent) below its 1930 peak. Jersey City remains 70,000  (22 percent) below its 1930 peak, despite the growth of a new financial  district just across the Hudson River from lower Manhattan. Camden remains approximately 35,000 (37  percent) below its 1950 peak. Of the four municipalities gaining population, Camden  did the best, adding 6.9 percent to its population, a full 50 percent above the  statewide increase of 4.5 percent.&lt;/p&gt;
&lt;p&gt;Paterson  and Trenton  posted small population losses. Trenton  remains nearly 45,000 (33 percent) below its 1950 peak (Table 1). &lt;/p&gt;
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&lt;td height=&quot;24&quot; class=&quot;excel4&quot; width=&quot;120&quot; style=&quot;height:18.0pt;width:90pt;&quot;&gt;Table 1&lt;/td&gt;
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&lt;td height=&quot;24&quot; class=&quot;excel4&quot; colspan=&quot;7&quot; style=&quot;height:18.0pt;&quot;&gt;New    Jersey Municipalities Achieving 100,000 Population&lt;/td&gt;
&lt;/tr&gt;
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&lt;td&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;17&quot; style=&quot;height:12.75pt;&quot;&gt;
&lt;td height=&quot;17&quot; style=&quot;height:12.75pt;&quot;&gt;&lt;/td&gt;
&lt;td colspan=&quot;4&quot; class=&quot;excel8&quot;&gt;Census Population&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;excel7&quot;&gt;Peak&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;17&quot; style=&quot;height:12.75pt;&quot;&gt;
&lt;td height=&quot;17&quot; style=&quot;height:12.75pt;&quot;&gt;Municipality&lt;/td&gt;
&lt;td class=&quot;excel6&quot;&gt;2000&lt;/td&gt;
&lt;td class=&quot;excel6&quot;&gt;2010&lt;/td&gt;
&lt;td class=&quot;excel6&quot;&gt;Change&lt;/td&gt;
&lt;td class=&quot;excel6&quot;&gt;% Change&lt;/td&gt;
&lt;td class=&quot;excel6&quot;&gt;Population&lt;/td&gt;
&lt;td class=&quot;excel6&quot;&gt;Year&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;17&quot; style=&quot;height:12.75pt;&quot;&gt;
&lt;td height=&quot;17&quot; style=&quot;height:12.75pt;&quot;&gt;Newark&lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;     273,946 &lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;   277,140 &lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;      3,194 &lt;/td&gt;
&lt;td class=&quot;excel2&quot; align=&quot;right&quot;&gt;1.2%&lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;    442,337 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;1930&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;17&quot; style=&quot;height:12.75pt;&quot;&gt;
&lt;td height=&quot;17&quot; style=&quot;height:12.75pt;&quot;&gt;Jersey City&lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;     240,055 &lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;   247,597 &lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;      7,542 &lt;/td&gt;
&lt;td class=&quot;excel2&quot; align=&quot;right&quot;&gt;3.1%&lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;    316,715 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;1930&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;17&quot; style=&quot;height:12.75pt;&quot;&gt;
&lt;td height=&quot;17&quot; style=&quot;height:12.75pt;&quot;&gt;Paterson&lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;     149,222 &lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;   146,199 &lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;     (3,023)&lt;/td&gt;
&lt;td class=&quot;excel2&quot; align=&quot;right&quot;&gt;-2.0%&lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;    149,227 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;2000&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;17&quot; style=&quot;height:12.75pt;&quot;&gt;
&lt;td height=&quot;17&quot; style=&quot;height:12.75pt;&quot;&gt;Elizabeth&lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;     120,568 &lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;   124,969 &lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;      4,401 &lt;/td&gt;
&lt;td class=&quot;excel2&quot; align=&quot;right&quot;&gt;3.7%&lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;    124,969 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;2010&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;17&quot; style=&quot;height:12.75pt;&quot;&gt;
&lt;td height=&quot;17&quot; style=&quot;height:12.75pt;&quot;&gt;Trenton&lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;       85,403 &lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;     84,913 &lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;        (490)&lt;/td&gt;
&lt;td class=&quot;excel2&quot; align=&quot;right&quot;&gt;-0.6%&lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;    128,009 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;1950&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;17&quot; style=&quot;height:12.75pt;&quot;&gt;
&lt;td height=&quot;17&quot; style=&quot;height:12.75pt;&quot;&gt;Camden&lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;       78,672 &lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;     84,136 &lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;      5,464 &lt;/td&gt;
&lt;td class=&quot;excel2&quot; align=&quot;right&quot;&gt;6.9%&lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;    124,555 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;1950&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;17&quot; style=&quot;height:12.75pt;&quot;&gt;
&lt;td height=&quot;17&quot; style=&quot;height:12.75pt;&quot;&gt;Total&lt;/td&gt;
&lt;td class=&quot;excel5&quot;&gt;     947,866 &lt;/td&gt;
&lt;td class=&quot;excel5&quot;&gt;   964,954 &lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;    17,088 &lt;/td&gt;
&lt;td class=&quot;excel2&quot; align=&quot;right&quot;&gt;1.8%&lt;/td&gt;
&lt;td class=&quot;excel5&quot;&gt;  1,285,812 &lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;17&quot; style=&quot;height:12.75pt;&quot;&gt;
&lt;td height=&quot;17&quot; style=&quot;height:12.75pt;&quot;&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;17&quot; style=&quot;height:12.75pt;&quot;&gt;
&lt;td height=&quot;17&quot; style=&quot;height:12.75pt;&quot;&gt;Balance of State&lt;/td&gt;
&lt;td class=&quot;excel5&quot;&gt;  7,466,484 &lt;/td&gt;
&lt;td class=&quot;excel5&quot;&gt; 7,826,940 &lt;/td&gt;
&lt;td class=&quot;excel5&quot;&gt;   360,456 &lt;/td&gt;
&lt;td class=&quot;excel2&quot; align=&quot;right&quot;&gt;4.8%&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;17&quot; style=&quot;height:12.75pt;&quot;&gt;
&lt;td height=&quot;17&quot; style=&quot;height:12.75pt;&quot;&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;17&quot; style=&quot;height:12.75pt;&quot;&gt;
&lt;td height=&quot;17&quot; style=&quot;height:12.75pt;&quot;&gt;New Jersey&lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;  8,414,350 &lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt; 8,791,894 &lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;   377,544 &lt;/td&gt;
&lt;td class=&quot;excel2&quot; align=&quot;right&quot;&gt;4.5%&lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;  8,791,894 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;2010&lt;/td&gt;
&lt;/tr&gt;
&lt;/table&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Elizabeth and Paterson however have been far more successful  in retaining their population than other older municipalities, both in New  Jersey and around the nation. Both Elizabeth and Paterson have become majority  Hispanic and have a sizeable African American community. They also have a large  immigrant community.  In Elizabeth, 45  percent of the population is foreign born, almost four times the national rate.  Paterson has an immigrant population of 25 percent.  &lt;/p&gt;
&lt;p&gt;&lt;strong&gt;The Older Suburban  Counties: &lt;/strong&gt;Nonetheless, even with the modest population reversals in four of  the five municipalities in the Philadelphia and New York metropolitan areas, their  corresponding older suburban counties grew slower than the rest of the state in  the 2000s. Combined, Camden, Essex, Hudson, Passaic and Union counties – fast  growing suburbs of the early 1900s – grew at a rate of 1.6 percent, compared to  the statewide growth rate of 4.5 percent, capturing 12 percent of the statewide  growth.  (Table 2).&lt;/p&gt;
&lt;table cellspacing=&quot;0&quot; cellpadding=&quot;0&quot; class=&quot;excel9&quot;&gt;
  &lt;col width=&quot;266&quot; style=&quot;width:200pt;&quot; /&gt;&lt;br /&gt;
  &lt;col width=&quot;72&quot; span=&quot;2&quot; style=&quot;width:54pt;&quot; /&gt;&lt;br /&gt;
  &lt;col width=&quot;61&quot; style=&quot;width:46pt;&quot; /&gt;&lt;br /&gt;
  &lt;col width=&quot;51&quot; style=&quot;width:38pt;&quot; /&gt;&lt;br /&gt;
  &lt;col width=&quot;58&quot; style=&quot;width:44pt;&quot; /&gt;&lt;/p&gt;
&lt;tr height=&quot;24&quot; style=&quot;height:18.0pt;&quot;&gt;
&lt;td height=&quot;24&quot; class=&quot;excel13&quot; width=&quot;266&quot; style=&quot;height:18.0pt;width:200pt;&quot;&gt;Table 2&lt;/td&gt;
&lt;td width=&quot;72&quot; style=&quot;width:54pt;&quot;&gt;&lt;/td&gt;
&lt;td width=&quot;72&quot; style=&quot;width:54pt;&quot;&gt;&lt;/td&gt;
&lt;td width=&quot;61&quot; style=&quot;width:46pt;&quot;&gt;&lt;/td&gt;
&lt;td width=&quot;51&quot; style=&quot;width:38pt;&quot;&gt;&lt;/td&gt;
&lt;td width=&quot;58&quot; style=&quot;width:44pt;&quot;&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;24&quot; style=&quot;height:18.0pt;&quot;&gt;
&lt;td height=&quot;24&quot; class=&quot;excel13&quot; colspan=&quot;3&quot; style=&quot;height:18.0pt;&quot;&gt;New    Jersey County Population Growth by Area&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;17&quot; style=&quot;height:12.75pt;&quot;&gt;
&lt;td height=&quot;17&quot; style=&quot;height:12.75pt;&quot;&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;34&quot; style=&quot;height:25.5pt;&quot;&gt;
&lt;td height=&quot;34&quot; style=&quot;height:25.5pt;&quot;&gt;Area&lt;/td&gt;
&lt;td class=&quot;excel12&quot; width=&quot;72&quot; style=&quot;width:54pt;&quot;&gt;2000&lt;/td&gt;
&lt;td class=&quot;excel12&quot; width=&quot;72&quot; style=&quot;width:54pt;&quot;&gt;2010&lt;/td&gt;
&lt;td class=&quot;excel12&quot; width=&quot;61&quot; style=&quot;width:46pt;&quot;&gt;Change&lt;/td&gt;
&lt;td class=&quot;excel12&quot; width=&quot;51&quot; style=&quot;width:38pt;&quot;&gt;% Change&lt;/td&gt;
&lt;td class=&quot;excel12&quot; width=&quot;58&quot; style=&quot;width:44pt;&quot;&gt;Share of Growth&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;17&quot; style=&quot;height:12.75pt;&quot;&gt;
&lt;td height=&quot;17&quot; style=&quot;height:12.75pt;&quot;&gt;5 Older Suburban Counties&lt;/td&gt;
&lt;td class=&quot;excel11&quot;&gt; 2,923,130 &lt;/td&gt;
&lt;td class=&quot;excel11&quot;&gt; 2,969,617 &lt;/td&gt;
&lt;td class=&quot;excel11&quot;&gt;   46,487 &lt;/td&gt;
&lt;td class=&quot;excel10&quot; align=&quot;right&quot;&gt;1.6%&lt;/td&gt;
&lt;td class=&quot;excel10&quot; align=&quot;right&quot;&gt;12.3%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;17&quot; style=&quot;height:12.75pt;&quot;&gt;
&lt;td height=&quot;17&quot; style=&quot;height:12.75pt;&quot;&gt;Balance of NY &amp;amp; Phila Metropolitan    Counties&lt;/td&gt;
&lt;td class=&quot;excel11&quot;&gt; 4,887,467 &lt;/td&gt;
&lt;td class=&quot;excel11&quot;&gt; 5,184,873 &lt;/td&gt;
&lt;td class=&quot;excel11&quot;&gt; 297,406 &lt;/td&gt;
&lt;td class=&quot;excel10&quot; align=&quot;right&quot;&gt;6.1%&lt;/td&gt;
&lt;td class=&quot;excel10&quot; align=&quot;right&quot;&gt;78.8%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;17&quot; style=&quot;height:12.75pt;&quot;&gt;
&lt;td height=&quot;17&quot; style=&quot;height:12.75pt;&quot;&gt;Outside NY &amp;amp; Phila Metropolitan Area&lt;/td&gt;
&lt;td class=&quot;excel11&quot;&gt;    603,753 &lt;/td&gt;
&lt;td class=&quot;excel11&quot;&gt;    637,404 &lt;/td&gt;
&lt;td class=&quot;excel11&quot;&gt;   33,651 &lt;/td&gt;
&lt;td class=&quot;excel10&quot; align=&quot;right&quot;&gt;5.6%&lt;/td&gt;
&lt;td class=&quot;excel10&quot; align=&quot;right&quot;&gt;8.9%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;17&quot; style=&quot;height:12.75pt;&quot;&gt;
&lt;td height=&quot;17&quot; style=&quot;height:12.75pt;&quot;&gt;Total&lt;/td&gt;
&lt;td class=&quot;excel11&quot;&gt; 8,414,350 &lt;/td&gt;
&lt;td class=&quot;excel11&quot;&gt; 8,791,894 &lt;/td&gt;
&lt;td class=&quot;excel11&quot;&gt; 377,544 &lt;/td&gt;
&lt;td class=&quot;excel10&quot; align=&quot;right&quot;&gt;4.5%&lt;/td&gt;
&lt;td class=&quot;excel10&quot; align=&quot;right&quot;&gt;100.0%&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;17&quot; style=&quot;height:12.75pt;&quot;&gt;
&lt;td height=&quot;17&quot; colspan=&quot;5&quot; style=&quot;height:12.75pt;&quot;&gt;Note: 5    Older Suburban Counties Include Camden, Essex, Hudson, Passaic and Union&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;/table&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;The Newer Suburban  Counties: &lt;/strong&gt;The bulk of New Jersey&#039;s growth has taken place, as in the rest  of the country, in more newly suburbanizing counties of the Philadelphia and  New York metropolitan areas (Note 1). The growth rate in these counties was 6.0  percent, well above the statewide growth rate of 4.5 percent. Overall, the  outer suburban counties accounted for 73 percent of the state&#039;s population  growth during the 2000s. The strongest growth was in Ocean County, which is at  the furthest distance (fifty to one hundred miles) from New York City.  Ocean County grew 13 percent, adding 66,000  people to its population, nearly one-fifth of the state population gain. Gloucester  County, in the Philadelphia area also grew 13 percent, adding 33,000 to its  population. Ocean and Gloucester accounted for more than one-quarter of New Jersey&#039;s population growth. Only one other county added more than 50,000  people, Middlesex, which is adjacent to the New York City borough of Staten Island in New York,  much of which is made up of postwar suburbanization.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Counties Outside the  Large Metropolitan Areas: &lt;/strong&gt;The counties outside the New York and Philadelphia metropolitan area, Atlantic, Cape May, Cumberland and Warren added 5.6 percent to their population  and nine percent of the state&#039;s population gain. The largest growth was in Atlantic  County (8.7 percent) and Cumberland County (6.1 percent), both adjacent to  counties of the Philadelphia metropolitan area. Cape May County had the largest  population loss in the state, at 4.9 percent (Essex County, where Newark is  located, lost 1.2 percent, the only other county to lose population).&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Small Area Analysis: &lt;/strong&gt;The  dispersion of the population is also illustrated by &amp;quot;place&amp;quot; data,  which includes incorporated municipalities (Note 2) and &amp;quot;census designated  places.&amp;quot; &lt;/p&gt;
&lt;p&gt;Generally, newer housing reflects the distance of suburbs  from the urban core. Gaining a larger share of population growth, this demonstrates  a primarily  suburban, rather than urban  core oriented, expansion.  An analysis of  the more than 500 places (municipalities and &amp;quot;census designated  places&amp;quot;) indicates that the greatest share of New Jersey&#039;s growth is in  new suburban areas.&lt;/p&gt;
&lt;p&gt;Among places in which housing has a median construction date  of 1945 or earlier, there was a 0.8 percent reduction in population. The growth  rate then rises with each 10 year increment, reaching 4.0 percent in places with  a median construction date of 1976 to 1985 and 11.1 percent for places with a  median construction date of later (though this is the smallest category). &lt;/p&gt;
&lt;p&gt;&lt;img src=http://www.newgeography.com/files/NJ-growth-by-housing.png&gt;&lt;/p&gt;
&lt;p&gt;However, the growth in these places accounts for only 18.5  percent of the state&#039;s population gain. The other 81.5 percent was outside the  incorporated municipalities and the census designated places. This population  is generally in the state&#039;s townships, some of which are older (such as North  Bergen or Woodbridge), but most of which are much newer.  However, much of the growth in the townships  was in newer areas, with 84 percent in areas with median construction dates of  1966 or later (Note 3)&lt;/p&gt;
&lt;p&gt;Thus, all-metropolitan New Jersey is becoming more suburban,  while older, major municipalities such as Newark, Jersey City and Camden are  enjoying a welcome respite from their generally steep declines.&lt;/p&gt;
&lt;p&gt;---&lt;/p&gt;
&lt;p&gt;Note 1: These counties include Bergen, Burlington,  Cumberland, Hunterdon, Mercer, Middlesex, Monmouth, Morris, Ocean, Salem,  Somerset and Sussex.&lt;/p&gt;
&lt;p&gt;Note 2: New Jersey township officials have been engaged with  the Census Bureau in a dispute over whether New Jersey townships should be  considered incorporated. This analysis uses the &amp;quot;non-incorporated&amp;quot;  status as defined by the Census Bureau, without taking a position on the nature  of the disagreement.&lt;/p&gt;
&lt;p&gt;Note 3: The Census Bureau routinely makes changes to  &amp;quot;census designated places&amp;quot; between censuses. As a result it is not  possible to reconcile the township and place totals to the state total. There  is a discrepancy of approximately 1.5 percent. This discrepancy is small enough  to make the township figures generally reflective of the median construction  dates.&lt;/p&gt;
&lt;p&gt;&lt;em&gt;Wendell Cox is a Visiting Professor, Conservatoire National des Arts et Metiers, Paris and the author of “&lt;a href=&quot;http://www.amazon.com/gp/product/0595399487?ie=UTF8&amp;amp;tag=newgeogrcom-20&amp;amp;linkCode=as2&amp;amp;camp=1789&amp;amp;creative=390957&amp;amp;creativeASIN=0595399487&quot;&gt;War   on the Dream: How Anti-Sprawl Policy Threatens the Quality of Life&lt;/a&gt;&lt;img src=&quot;http://www.assoc-amazon.com/e/ir?t=newgeogrcom-20&amp;amp;l=as2&amp;amp;o=1&amp;amp;a=0595399487&quot; alt=&quot;&quot; border=&quot;0&quot; height=&quot;1&quot; width=&quot;1&quot; /&gt;”&lt;/em&gt;&lt;/p&gt;
</description>
 <comments>http://www.newgeography.com/content/002101-new-jersey-still-suburbanizing#comments</comments>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues">Urban Issues</category>
 <category domain="http://www.newgeography.com/census2010">Census 2010</category>
 <category domain="http://www.newgeography.com/category/story-topics/demographics">Demographics</category>
 <category domain="http://www.newgeography.com/category/story-topics/housing">Housing</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/new-york">New York</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/philadelphia">Philadelphia</category>
 <pubDate>Wed, 09 Mar 2011 00:47:06 -0500</pubDate>
 <dc:creator>Wendell Cox</dc:creator>
 <guid isPermaLink="false">2101 at http://www.newgeography.com</guid>
</item>
<item>
 <title>America&#039;s Biggest Brain Magnets</title>
 <link>http://www.newgeography.com/content/002044-americas-biggest-brain-magnets</link>
 <description>&lt;p&gt;For a decade now U.S. city planners have obsessively pursued college graduates, adopting policies to make their cities more like dense hot spots such as New York, to which the &quot;brains&quot; allegedly flock.&lt;/p&gt;
&lt;p&gt;But in the past 10 years &quot;hip and cool&quot; places like New York have suffered high levels of domestic outmigration. Some boosters rationalize this by saying the U.S. is undergoing a &quot;bipolar migration&quot;--an argument recently &lt;a href=&quot;http://ww.theatlantic.com/business/archive/2010/12/americas-bipolar-population-shift/68709/&quot; target=&quot;_blank&quot;&gt;laid out by Derek Thompson in &lt;i&gt;The Atlantic&lt;/i&gt;&lt;/a&gt;. &lt;!--break--&gt; On the one hand the smart &quot;brains&quot; head for cool, coastal cities like New York and Boston, while &quot;families&quot; and &quot;feet&quot;--a term that seems to apply to the less cognitively gifted--trudge to the the nation&#039;s southern tier--a.k.a. the Sun Belt--for cheap prices and warm weather. &quot;College graduates with bachelor&#039;s degrees or higher,&quot; Thompson notes, &quot;have been moving to the coasts, like salmon swimming against the southwesterly current.&quot;&lt;/p&gt;
&lt;p&gt;However, this analysis--no matter how widely accepted in the media--is grossly oversimplified, perhaps even misleading. Indeed, college graduates, for the most part, are heading not to the big cities on the coasts, but to smaller, less dense and quite often Sun Belt cities. &lt;/p&gt;
&lt;p&gt;To come up with our list of the country&#039;s biggest brain magnets, we took the 52 largest metropolitan areas (all those over 1 million population) and ranked them by gains in people with college educations compared to the population over 25 years of age between 2007 and 2009, using the latest data from the American Community Survey provided by demographer Wendell Cox. It turns out that &lt;i&gt;none &lt;/i&gt;of the top 10 gainers were large Northeastern cities, but largely Southern or Midwestern. New Orleans; Raleigh, N.C.; Austin, Texas; Nashville; Birmingham, Ala.; Kansas City, Mo.-Kan.; and Columbus, Ohio, all scored high marks. Only one California city, San Diego, made the top 10. Perennial &quot;brain gainers&quot; Denver, Colo., and Seattle round out the top 10.&lt;/p&gt;
&lt;p&gt;Among those metropolitan statistical areas with populations over 5 million, the best ranking went to the Philadelphia region (No. 12 overall), arguably the least glitzy and most affordable of the large northeast cities. The San Francisco metropolitan area, long a leader in its percentage of college-educated adults, held the next spot at No. 13. On the other hand, supposed &quot;brain&quot; magnets Boston and Chicago managed middling rankings, right behind Charlotte, N.C., and just ahead of San Antonio, Texas. Both fell well behind such overlooked &quot;brain gain&quot; areas as Jacksonville, Fla.; St. Louis, Mo.-Ill.; and Indianapolis. New York, the nation&#039;s intellectual capital, ranked a mediocre 29th and Los Angeles an even worse 37th. To put in perspective, Nashville&#039;s rate of college educated migration growth was 3.7%, compared with 1.4% for New York and a measly 0.7% for Los Angeles.&lt;/p&gt;
&lt;p&gt;Rather than following a clear path to the world of the &quot;hip and cool,&quot; college graduates appear influenced by a more nuanced and complex series of factors in terms of their location. New Orleans&#039; No. 1 ranking, for example, is likely product of the &lt;a href=&quot;http://www.nytimes.com/2011/02/04/us/04census.html&quot; target=&quot;_blank&quot;&gt;continuing recovery of its shrunken population&lt;/a&gt;, where the central city appears to be somewhat more attractive to professionals than before Katrina while the suburban populations have recovered more quickly from the disaster. The strong showing of Birmingham may likely be traced not to changes in the core city itself, but to the rapid growth in its surrounding suburban counties and the rapid expansion of the region&#039;s medical complex.&lt;/p&gt;
&lt;p&gt;This reflects something not often mentioned: the spreading out of intelligence. Conventional theory suggests that the new generation of college graduates will go to the largest, densest places, eschewing, &lt;a href=&quot;http://blogs.wsj.com/developments/2011/01/13/no-mcmansions-for-millennials/&quot; target=&quot;_blank&quot;&gt;as &lt;em&gt;The Wall Street Journal&lt;/em&gt; put it snidely&lt;/a&gt;, their parent&#039;s McMansions for small abodes in the inner city. Yet the ACS numbers indicate that, overall, college migrants tend to choose less dense places. In the two years we covered, the growth rate in urban areas with lower urban area densities (2,500 per square mile) boasted a 5% increase in college-educated residents, compared with roughly 3.5% for areas twice as dense.&lt;/p&gt;
&lt;p&gt;This can be seen in the pattern of migration toward relatively low-density metropolitan areas like Nashville, Columbus, Raleigh or Kansas City as opposed to more packed regions like New York, Los Angeles or San Francisco. And wherever these college graduates migrate, they are at least as likely to settle outside the urban core. Another overlooked fact: Most places with the highest percentages of college-educated people are in suburbs. Only two of the 20 most-educated counties in the country are located in the urban core: New York (Manhattan) and San Francisco. Virtually all the rest are suburban.&lt;/p&gt;
&lt;p&gt;Another somewhat surprising statistic revolves around affordability and job growth. The college-educated, particularly in this tepid economy, are not immune to reality. They may want to go one place--for example, ever-alluring New York or sunny Los Angeles--but may soon find they can find neither a good job there nor an affordable place to live in order to stay there. Overall our analysis shows that many end up in places with lower housing prices. Areas with the highest price housing experienced college-educated growth at a rate only 60% of those with more affordable real estate. This is one thing that makes an Austin or Raleigh, even a Columbus or Kansas City, more attractive than a Boston, New York or Los Angeles&lt;/p&gt;
&lt;p&gt;Finally we have to consider employment trends. For the most part college graduates, like most folks, preferred cities with lower unemployment and more job growth. Some top gainers, such as Raleigh, Columbus and Kansas City, all boast lower than average unemployment and appear to be &lt;a href=&quot;http://www.brookings.edu/metro/MetroMonitor/unemployment_rate.aspx&quot; target=&quot;_blank&quot;&gt;recovering from the recession&lt;/a&gt;. But this is not always the case: Some relatively poor performers on the job front, like Portland, Ore., and San Diego, have managed to maintain their appeal--for now.&lt;/p&gt;
&lt;p&gt;As the economy recovers these patterns are likely to accelerate, although they could also shift a bit as regions gain or lose employment momentum. Meanwhile, the best strategy for attracting graduates lies in creating jobs, as well as in offering both affordable housing and a range of housing options, including both reasonably priced urban and lower-density living. Generally speaking an area that is economically vital as well as physically or culturally appealing will do best. In the next decade advantages will also fall to family-friendly regions, particularly as the current crop of millennial-generation graduates starts entering en masse their family-forming years. These factors, more than hipness or dense urbanity, may well be more influential in determining which regions do best in the ongoing war for talent.&lt;/p&gt;
&lt;p&gt;----&lt;/p&gt;
&lt;h1&gt;No. 1: New Orleans-Metairie-Kenner, La. &lt;/h1&gt;
&lt;div&gt;
&lt;p&gt;Grad Gain: 36,666&lt;/p&gt;
&lt;p&gt;Gain as a Share of Total 25+ 2007 Population: 5.42%&lt;/p&gt;
&lt;p&gt;New Orleans&#039; No. 1 ranking is likely due to former exiles &lt;a href=&quot;http://www.nytimes.com/2011/02/04/us/04census.html&quot; target=&quot;_blank&quot;&gt;returning after Hurricane Katrina&lt;/a&gt;.   A recent report from the Census Bureau estimates that area&#039;s population   in the past decade has shrunk 29%. Recovery in the urban core has   remained patchy, but suburban populations have recovered more quickly   from the disaster.&lt;/p&gt;
&lt;/div&gt;
&lt;h1&gt;No. 2: Raleigh-Cary, N.C. &lt;/h1&gt;
&lt;div&gt;
&lt;p&gt;Grad gain: 28,748&lt;/p&gt;
&lt;p&gt;Gain as a Share of Total 25+ 2007 Population: 4.27%&lt;/p&gt;
&lt;p&gt;Even in hard times Raleigh-Durham--the &lt;a href=&quot;http://www.forbes.com/2010/10/11/cities-innovation-texas-great-plains-indianapolis-opinions-columnists-joel-kotkin.html&quot; target=&quot;_blank&quot;&gt;fastest-growing metro area&lt;/a&gt; in the country--has repeatedly performed well on Forbes&#039; list of the   best cities for jobs. The area is a magnet for technology companies   fleeing the more expensive, congested and highly regulated northeast   corridor. Affordable housing and short commute times are no doubt highly   attractive to millennials seeking to start a family. Indeed, a 2010   Portfolio.com/bizjournals survey &lt;a href=&quot;http://www.newgeography.com/content/001920-younger-crowds-are-right-middle&quot; target=&quot;_blank&quot;&gt;ranked the city&lt;/a&gt; the third-best for young adults.&lt;/p&gt;
&lt;/div&gt;
&lt;h1&gt;No. 3: Austin-Round Rock, Texas &lt;/h1&gt;
&lt;div&gt;
&lt;p&gt;Grad gain: 42,117&lt;/p&gt;
&lt;p&gt;Gain as a Share of Total 25+ 2007 Population: 4.23%&lt;/p&gt;
&lt;p&gt;Brains are flocking to Austin for good reason. Forbes ranked it the &lt;a href=&quot;http://www.forbes.com/2010/04/20/best-big-cities-jobs-texas-new-york-opinions-columnists-joel-kotkin_slide_2.html&quot;&gt;best large urban area for jobs in 2010&lt;/a&gt;.   Along with Raleigh-Durham, Austin is emerging as the next Silicon   Valley, luring lots of brains who would have previously headed toward   the West Coast. Austin owes much both to its public-sector institutions   (the state government and the main campus of the University of Texas)   and its expanding ranks of private companies--including foreign   ones--swarming into the city&#039;s surrounding suburban belt. Its vibrant   cultural scene certainly helps in attracting college-educated   millennials.&lt;/p&gt;
&lt;/div&gt;
&lt;h1&gt;No. 4: Nashville-Davidson-Murfreesboro-Franklin, Tenn. &lt;/h1&gt;
&lt;div&gt;
&lt;p&gt;Grad gain: 36,975&lt;/p&gt;
&lt;p&gt;Gain as a Share of Total 25+ 2007 Population: 3.68%&lt;/p&gt;
&lt;p&gt;A high quality of life, a vibrant cultural and music scene and a   diverse population make Nashville a desirable place to live. Low housing   costs drive down the cost of living, which is even lower than in other   affordable cities like Raleigh, Austin or Indianapolis. Nashville is   also home to a growing health care industry: More than 250 health care   companies have operations in Nashville, and 56 are headquartered there.&lt;/p&gt;
&lt;/div&gt;
&lt;h1&gt;No. 5: Kansas City, Mo./Kan. &lt;/h1&gt;
&lt;div&gt;
&lt;p&gt;Grad gain: 38,398&lt;/p&gt;
&lt;p&gt;Gain as a Share of Total 25+ 2007 Population: 2.96%&lt;/p&gt;
&lt;p&gt;The two-state Kansas City region boasts strong population growth and   net in-migration-- and for good reason. The city has one of the lowest   costs of living, one of the highest personal-income growth rates and one   of the healthiest real estate markets in the country. Short commute   times also add to the attractiveness of the city for families. The city   is the second-largest rail hub in the U.S. and is actively growing its   life science and technology sectors.&lt;/p&gt;
&lt;/div&gt;
&lt;h1&gt;No. 6: Birmingham-Hoover, Ala. &lt;/h1&gt;
&lt;div&gt;
&lt;p&gt;Grad gain: 21,111&lt;/p&gt;
&lt;p&gt;Gain as a Share of Total 25+ 2007 Population: 2.86%&lt;/p&gt;
&lt;p&gt;Birmingham&#039;s strong showing on this list is likely due to the rapid   growth in its surrounding suburban counties. One big development sure to   lure brains: the rapid expansion of the University of Alabama&#039;s medical   center and surrounding private medical industry.&lt;/p&gt;
&lt;/div&gt;
&lt;h1&gt;No. 7: San Diego-Carlsbad-San Marcos, Calif. &lt;/h1&gt;
&lt;div&gt;
&lt;p&gt;Grad gain: 51,151&lt;/p&gt;
&lt;p&gt;Gain as a Share of Total 25+ 2007 Population: 2.71%&lt;/p&gt;
&lt;p&gt;The only MSA from the &amp;quot;hip and cool&amp;quot; state of California to make the   top 10, despite high levels of out-migration and a relatively poor   performance in the job front. For now, at least, the area&#039;s beautiful   beaches and idyllic weather manage to attract plenty of college   graduates, but it will need to get out of its slump in order to retain   them.&lt;/p&gt;
&lt;/div&gt;
&lt;h1&gt;No. 8: Denver-Aurora-Broomfield, Colo.&lt;/h1&gt;
&lt;div&gt;
&lt;p&gt;Grad gain: 43,853&lt;/p&gt;
&lt;p&gt;Gain as a Share of Total 25+ 2007 Population: 2.69%&lt;/p&gt;
&lt;p&gt;A perennial magnet for college graduates, and one of the &amp;quot;hip and   cool&amp;quot; cities to make the top of our list, Denver was one of the darlings   of the information age, and its suburbs have long incubated tech   companies. Its technology sector is still strong, but higher prices and   greater regulation have driven companies to regions like Austin and   Raleigh, which are more business-friendly and cheaper.&lt;/p&gt;
&lt;/div&gt;
&lt;h1&gt;No. 9: Columbus, Ohio &lt;/h1&gt;
&lt;div&gt;
&lt;p&gt;Grad gain: 29,515&lt;/p&gt;
&lt;p&gt;Gain as a Share of Total 25+ 2007 Population: 2.6%&lt;/p&gt;
&lt;p&gt;While the recession has taken a huge toll on the rest of Ohio,   Columbus has been thriving, thanks to being home of the state capital, a   booming startup culture and the largest college campus in the   country--Ohio State University, a major employer and information center.   Forbes named the Columbus metropolitan area--home to 1.8 million   residents-- one of America&#039;s best housing markets, as well as one of the   best places for businesses and careers. The city enjoys below-average   unemployment and a strong tech presence that includes Battelle Memorial   Institute, which oversees laboratories for several federal agencies.&lt;/p&gt;
&lt;/div&gt;
&lt;h1&gt;No. 10: Seattle-Tacoma-Bellevue, Wash. &lt;/h1&gt;
&lt;div&gt;
&lt;p&gt;Grad gain: 53,869&lt;/p&gt;
&lt;p&gt;Gain as a Share of Total 25+ 2007 Population: 2.39%&lt;/p&gt;
&lt;p&gt;Seattle has long been one of the big winners in the brain battle as   well. It has some of the country&#039;s most important cutting-edge   firms--Microsoft, Costco, Amazon, Starbucks--one of the country&#039;s best   arrays of urban and suburban neighborhoods. Housing is no longer cheap,   but remains far less expensive than its main rival, the San Francisco   Bay Area.&lt;/p&gt;
&lt;/div&gt;
&lt;p&gt;----&lt;/p&gt;
&lt;script type=&quot;text/javascript&quot; src=&quot;http://tweetmeme.com/i/scripts/button.js&quot;&gt;&lt;/script&gt;&lt;p&gt;&lt;iframe src=&quot;http://www.facebook.com/plugins/like.php?href=http%3A%2F%2Fwww.newgeography.com%2Fcontent%2F002044-americas-biggest-brain-magnets&amp;amp;layout=box_count&amp;amp;show_faces=false&amp;amp;width=450&amp;amp;action=like&amp;amp;colorscheme=light&amp;amp;height=65&quot; scrolling=&quot;no&quot; frameborder=&quot;0&quot; style=&quot;border:none; overflow:hidden; width:450px; height:65px;&quot; allowTransparency=&quot;true&quot;&gt;&lt;/iframe&gt;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;Photo by &lt;a href=http://www.flickr.com/photos/jeanettevictoria/4236286218/&gt;Jeanette Runyon&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;This piece originally appeared in Forbes.&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;Joel Kotkin is executive editor of NewGeography.com and  is a distinguished presidential fellow in urban futures at Chapman University, and an adjunct fellow of the Legatum Institute in London.  He is author of &lt;a href=&quot;http://www.amazon.com/gp/product/0375756515?ie=UTF8&amp;amp;tag=newgeogrcom-20&amp;amp;linkCode=as2&amp;amp;camp=1789&amp;amp;creative=9325&amp;amp;creativeASIN=0375756515&quot;&gt;The City: A Global History&lt;/a&gt;&lt;img src=&quot;http://www.assoc-amazon.com/e/ir?t=newgeogrcom-20&amp;amp;l=as2&amp;amp;o=1&amp;amp;a=0375756515&quot; width=&quot;1&quot; height=&quot;1&quot; border=&quot;0&quot; alt=&quot;&quot; style=&quot;border:none !important; margin:0px !important;&quot; /&gt;. His newest book is &lt;a href=&quot;http://www.amazon.com/gp/product/1594202443?ie=UTF8&amp;amp;tag=newgeogrcom-20&amp;amp;linkCode=as2&amp;amp;camp=1789&amp;amp;creative=390957&amp;amp;creativeASIN=1594202443&quot;&gt;The Next Hundred Million: America in 2050&lt;/a&gt;&lt;img src=&quot;http://www.assoc-amazon.com/e/ir?t=newgeogrcom-20&amp;amp;l=as2&amp;amp;o=1&amp;amp;a=1594202443&quot; width=&quot;1&quot; height=&quot;1&quot; border=&quot;0&quot; alt=&quot;&quot; style=&quot;border:none !important; margin:0px !important;&quot; /&gt;, released in February, 2010. &lt;/em&gt;&lt;/p&gt;
</description>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues">Urban Issues</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/charlotte">Charlotte</category>
 <category domain="http://www.newgeography.com/category/story-topics/demographics">Demographics</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/indianapolis">Indianapolis</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/kansas-city">Kansas City</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/los-angeles">Los Angeles</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/new-orleans">New Orleans</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/new-york">New York</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/philadelphia">Philadelphia</category>
 <pubDate>Thu, 10 Feb 2011 22:28:59 -0500</pubDate>
 <dc:creator>Joel Kotkin</dc:creator>
 <guid isPermaLink="false">2044 at http://www.newgeography.com</guid>
</item>
<item>
 <title>Personal Income in the 2000s: Top and Bottom Ten Metropolitan Areas</title>
 <link>http://www.newgeography.com/content/002006-personal-income-2000s-top-and-bottom-ten-metropolitan-areas</link>
 <description>&lt;p&gt;The first decade of the new millennium was particularly hard on the US economy. First, there was the recession that followed the attacks of 9/11. That was followed by the housing bust and the resulting Great Financial Crisis, which &lt;a href=http://www.newgeography.com/content/00623-the-panic-2008-how-bad-is-it&gt;was the most severe economic decline since the Great Depression&lt;/a&gt;.&lt;/p&gt;
&lt;p&gt;Per capita personal incomes in America&#039;s major metropolitan areas vary widely. Moreover, the changes in per capita incomes from 2000 to 2009 have also varied. The differences are particularly obvious when average incomes are adjusted for metropolitan area Consumer Price Indexes. The US Bureau of Labor statistics produces a Consumer Price Index for nearly 30 metropolitan areas. Among these, 28 metropolitan areas are covered by these local Consumer Price Indexes. &lt;/p&gt;
&lt;p&gt;While overall national inflation was approximately 25 percent between 2000 and 2009, the metropolitan area inflation indexes ranged from 16 percent in Phoenix to more than 32 percent in San Diego. Five additional metropolitan areas had 2000 to 2009 inflation of more than 30 percent, including Los Angeles, Riverside-San Bernardino, Miami, Tampa-St. Petersburg and San Diego. Four metropolitan areas experienced inflation of less than 20 percent, including Atlanta, Detroit and Cleveland and Phoenix.&lt;/p&gt;
&lt;p&gt;Overall, the 28 metropolitan areas covered by metropolitan inflation indexes averaged a per capita income decrease of 0.1 percent, after adjustment for inflation. Increases were achieved in 18 metropolitan areas, while decreases occurred in 10. The overall average declines occurred because the steepest loss (19 percent in San Jose), was far outside the plus 10 percent to minus 8 percent range of the other 27 metropolitan areas (Table).&lt;/p&gt;
&lt;table cellspacing=&quot;0&quot; cellpadding=&quot;0&quot;&gt;
  &lt;col width=&quot;52&quot; /&gt;&lt;br /&gt;
  &lt;col width=&quot;177&quot; /&gt;&lt;br /&gt;
  &lt;col width=&quot;84&quot; /&gt;&lt;br /&gt;
  &lt;col width=&quot;81&quot; /&gt;&lt;br /&gt;
  &lt;col width=&quot;65&quot; /&gt;&lt;/p&gt;
&lt;tr height=&quot;19&quot;&gt;
&lt;td height=&quot;19&quot; colspan=&quot;3&quot; width=&quot;313&quot;&gt;Metropolitan Area: Per Capita Income&lt;/td&gt;
&lt;td width=&quot;81&quot;&gt;
&lt;div align=&quot;right&quot;&gt;&lt;/div&gt;
&lt;/td&gt;
&lt;td width=&quot;65&quot;&gt;
&lt;div align=&quot;right&quot;&gt;&lt;/div&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot;&gt;
&lt;td height=&quot;19&quot; colspan=&quot;5&quot;&gt;Metropolitan    Areas Covered by Metropolitan Consumer Price Indexes&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot;&gt;
&lt;td height=&quot;19&quot; colspan=&quot;2&quot;&gt;Inflation    Adjusted&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;&lt;/div&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;&lt;/div&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;&lt;/div&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;16&quot;&gt;
&lt;td height=&quot;16&quot;&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;&lt;/div&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;&lt;/div&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;&lt;/div&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;38&quot;&gt;
&lt;td height=&quot;38&quot;&gt;Rank&lt;/td&gt;
&lt;td&gt;Metropolitan Area&lt;/td&gt;
&lt;td width=&quot;84&quot;&gt;
&lt;div align=&quot;right&quot;&gt;2000 in 2009$&lt;/div&gt;
&lt;/td&gt;
&lt;td width=&quot;81&quot;&gt;
&lt;div align=&quot;right&quot;&gt;2009&lt;/div&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;Change&lt;/div&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot;&gt;
&lt;td height=&quot;19&quot;&gt;1&lt;/td&gt;
&lt;td&gt;Baltimore&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    43,729&lt;/div&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    47,962&lt;/div&gt;
&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;
&lt;div align=&quot;right&quot;&gt;9.7%&lt;/div&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot;&gt;
&lt;td height=&quot;19&quot;&gt;2&lt;/td&gt;
&lt;td&gt;Pittsburgh&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    39,024&lt;/div&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    42,216&lt;/div&gt;
&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;
&lt;div align=&quot;right&quot;&gt;8.2%&lt;/div&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot;&gt;
&lt;td height=&quot;19&quot;&gt;3&lt;/td&gt;
&lt;td&gt;Washington&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    53,753&lt;/div&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    56,442&lt;/div&gt;
&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;
&lt;div align=&quot;right&quot;&gt;5.0%&lt;/div&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot;&gt;
&lt;td height=&quot;19&quot;&gt;4&lt;/td&gt;
&lt;td&gt;Philadelphia&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    43,572&lt;/div&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    45,565&lt;/div&gt;
&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;
&lt;div align=&quot;right&quot;&gt;4.6%&lt;/div&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot;&gt;
&lt;td height=&quot;19&quot;&gt;5&lt;/td&gt;
&lt;td&gt;St. Louis&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    38,636&lt;/div&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    40,342&lt;/div&gt;
&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;
&lt;div align=&quot;right&quot;&gt;4.4%&lt;/div&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot;&gt;
&lt;td height=&quot;19&quot;&gt;6&lt;/td&gt;
&lt;td&gt;Milwaukee&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    40,028&lt;/div&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    41,696&lt;/div&gt;
&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;
&lt;div align=&quot;right&quot;&gt;4.2%&lt;/div&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot;&gt;
&lt;td height=&quot;19&quot;&gt;7&lt;/td&gt;
&lt;td&gt;Los Angeles&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    41,382&lt;/div&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    42,818&lt;/div&gt;
&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;
&lt;div align=&quot;right&quot;&gt;3.5%&lt;/div&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot;&gt;
&lt;td height=&quot;19&quot;&gt;8&lt;/td&gt;
&lt;td&gt;Houston&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    42,232&lt;/div&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    43,568&lt;/div&gt;
&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;
&lt;div align=&quot;right&quot;&gt;3.2%&lt;/div&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot;&gt;
&lt;td height=&quot;19&quot;&gt;9&lt;/td&gt;
&lt;td&gt;Cleveland&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    38,396&lt;/div&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    39,348&lt;/div&gt;
&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;
&lt;div align=&quot;right&quot;&gt;2.5%&lt;/div&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot;&gt;
&lt;td height=&quot;19&quot;&gt;10&lt;/td&gt;
&lt;td&gt;Chicago&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    42,761&lt;/div&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    43,727&lt;/div&gt;
&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;
&lt;div align=&quot;right&quot;&gt;2.3%&lt;/div&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot;&gt;
&lt;td height=&quot;19&quot;&gt;11&lt;/td&gt;
&lt;td&gt;Phoenix&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    33,594&lt;/div&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    34,282&lt;/div&gt;
&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;
&lt;div align=&quot;right&quot;&gt;2.0%&lt;/div&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot;&gt;
&lt;td height=&quot;19&quot;&gt;12&lt;/td&gt;
&lt;td&gt;San Diego&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    44,812&lt;/div&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    45,630&lt;/div&gt;
&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;
&lt;div align=&quot;right&quot;&gt;1.8%&lt;/div&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot;&gt;
&lt;td height=&quot;19&quot;&gt;13&lt;/td&gt;
&lt;td&gt;Kansas City&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    39,020&lt;/div&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    39,619&lt;/div&gt;
&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;
&lt;div align=&quot;right&quot;&gt;1.5%&lt;/div&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot;&gt;
&lt;td height=&quot;19&quot;&gt;14&lt;/td&gt;
&lt;td&gt;New York&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    51,638&lt;/div&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    52,375&lt;/div&gt;
&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;
&lt;div align=&quot;right&quot;&gt;1.4%&lt;/div&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot;&gt;
&lt;td height=&quot;19&quot;&gt;15&lt;/td&gt;
&lt;td&gt;Cincinnati&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    37,852&lt;/div&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    38,168&lt;/div&gt;
&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;
&lt;div align=&quot;right&quot;&gt;0.8%&lt;/div&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot;&gt;
&lt;td height=&quot;19&quot;&gt;16&lt;/td&gt;
&lt;td&gt;Seattle&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    48,651&lt;/div&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    48,976&lt;/div&gt;
&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;
&lt;div align=&quot;right&quot;&gt;0.7%&lt;/div&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot;&gt;
&lt;td height=&quot;19&quot;&gt;17&lt;/td&gt;
&lt;td&gt;Boston&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    53,396&lt;/div&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    53,713&lt;/div&gt;
&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;
&lt;div align=&quot;right&quot;&gt;0.6%&lt;/div&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot;&gt;
&lt;td height=&quot;19&quot;&gt;18&lt;/td&gt;
&lt;td&gt;Minneapolis-St. Paul&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    45,690&lt;/div&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    45,750&lt;/div&gt;
&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;
&lt;div align=&quot;right&quot;&gt;0.1%&lt;/div&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot;&gt;
&lt;td height=&quot;19&quot;&gt;19&lt;/td&gt;
&lt;td&gt;Denver&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    46,205&lt;/div&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    45,982&lt;/div&gt;
&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;
&lt;div align=&quot;right&quot;&gt;-0.5%&lt;/div&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot;&gt;
&lt;td height=&quot;19&quot;&gt;20&lt;/td&gt;
&lt;td&gt;Miami-West Pallm Beach&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    41,937&lt;/div&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    41,352&lt;/div&gt;
&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;
&lt;div align=&quot;right&quot;&gt;-1.4%&lt;/div&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot;&gt;
&lt;td height=&quot;19&quot;&gt;21&lt;/td&gt;
&lt;td&gt;Riverside-San Bernardino&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    30,600&lt;/div&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    29,930&lt;/div&gt;
&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;
&lt;div align=&quot;right&quot;&gt;-2.2%&lt;/div&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot;&gt;
&lt;td height=&quot;19&quot;&gt;22&lt;/td&gt;
&lt;td&gt;Portland&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    39,703&lt;/div&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    38,728&lt;/div&gt;
&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;
&lt;div align=&quot;right&quot;&gt;-2.5%&lt;/div&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot;&gt;
&lt;td height=&quot;19&quot;&gt;23&lt;/td&gt;
&lt;td&gt;Tampa-St. Petersburg&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    38,048&lt;/div&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    36,780&lt;/div&gt;
&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;
&lt;div align=&quot;right&quot;&gt;-3.3%&lt;/div&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot;&gt;
&lt;td height=&quot;19&quot;&gt;24&lt;/td&gt;
&lt;td&gt;San Francico&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    61,831&lt;/div&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    59,696&lt;/div&gt;
&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;
&lt;div align=&quot;right&quot;&gt;-3.5%&lt;/div&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot;&gt;
&lt;td height=&quot;19&quot;&gt;25&lt;/td&gt;
&lt;td&gt;Dallas-Fort Worth&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    41,575&lt;/div&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    39,514&lt;/div&gt;
&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;
&lt;div align=&quot;right&quot;&gt;-5.0%&lt;/div&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot;&gt;
&lt;td height=&quot;19&quot;&gt;26&lt;/td&gt;
&lt;td&gt;Detroit&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    40,412&lt;/div&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    37,541&lt;/div&gt;
&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;
&lt;div align=&quot;right&quot;&gt;-7.1%&lt;/div&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot;&gt;
&lt;td height=&quot;19&quot;&gt;27&lt;/td&gt;
&lt;td&gt;Atlanta&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    39,775&lt;/div&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    36,482&lt;/div&gt;
&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;
&lt;div align=&quot;right&quot;&gt;-8.3%&lt;/div&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot;&gt;
&lt;td height=&quot;19&quot;&gt;28&lt;/td&gt;
&lt;td&gt;San Jose&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    68,185&lt;/div&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    55,404&lt;/div&gt;
&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;
&lt;div align=&quot;right&quot;&gt;-18.7%&lt;/div&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;19&quot;&gt;
&lt;td height=&quot;19&quot;&gt;&lt;/td&gt;
&lt;td&gt;Unweighted Average&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    43,801&lt;/div&gt;
&lt;/td&gt;
&lt;td&gt;
&lt;div align=&quot;right&quot;&gt;$    43,700&lt;/div&gt;
&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;
&lt;div align=&quot;right&quot;&gt;-0.2%&lt;/div&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;/table&gt;
&lt;p&gt;&lt;br&gt;&lt;br&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;The Top Ten:&lt;/strong&gt; The strongest per capita personal income growth between 2000 and 2009 was in Baltimore, which had an inflation adjusted increase of 9.7 percent. This strong performance is not surprising due to Baltimore’s proximity to Washington and the federal government&#039;s high paying jobs. It also receives spillover lucrative employment from federal contracts to health, defense and security companies. In fact, Baltimore did better than Washington. Washington, which extends from the District of Columbia and into Maryland, Virginia and West Virginia. Not that DC did badly; it boasted the third highest income growth, and 5.0 percent.&lt;/p&gt;
&lt;p&gt;However, perhaps the biggest surprise is the metropolitan area that slipped into the number two position between Baltimore and Washington. The Pittsburgh metropolitan area, which may have faced the most severe economic challenges of any major metropolitan area over the past 40 years, achieved per capita personal income growth of 8.2 percent. The Pittsburgh gain is all the more significant in view of the local financing difficulties which placed the city of Pittsburgh in the near equivalent of bankruptcy under Pennsylvania&#039;s Act 47. However, as is the case in on number of metropolitan areas, the central city has become much less dominant and no longer seals the fate of the larger metropolitan area. Today, the city of Pittsburgh accounts for only 15 percent of the metropolitan area population.&lt;/p&gt;
&lt;p&gt;Philadelphia, the other long troubled region across the state, constitutes another surprise. Philadelphia placed fourth in per capita income growth at 4.6 percent only slightly behind Washington. The Philadelphia metropolitan area borders on that of Baltimore, stretching from Pennsylvania into New Jersey, Delaware and Maryland. Together with Washington and Baltimore, Philadelphia anchors the northern end of a corridor of comparative prosperity.&lt;/p&gt;
&lt;p&gt;Four of the next six positions are occupied by Midwest metropolitan areas. This may be unexpected because of the significant job losses sustained in this area since 2000. St. Louis, which stretches from Missouri into Illinois, ranked fifth in per capita income growth, at 4.4 percent. Milwaukee ranked sixth in its per capita income growth at 4.2 percent. Cleveland ranked ninth with per capita income growth of 2.5 percent, while Chicago placed 10th, with a gain of 2.3 percent in per capita personal income.&lt;/p&gt;
&lt;p&gt;Los Angeles was the only metropolitan area in the West to place in the top 10 in per capita income growth. Los Angeles ranked seventh growth of 3.5 percent. Houston replaced eighth with personal income growth of 3.2 percent.&lt;/p&gt;
&lt;p&gt;Overall, the East and Midwest captured six of the top ten income positions, while the South and West occupied four of the top ten positions.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;The Bottom 10:&lt;/strong&gt; If the top 10 contained surprises, the bottom 10 could be even more surprising. Last place (28th) was occupied by San Jose, which experienced a stunning 18.7 percent decline in per capita inflation adjusted income between 2000 and 2009. This income loss is more than double that of the second-worst performing metropolitan area and more than triples that of all but two other metropolitan areas.&lt;/p&gt;
&lt;p&gt;The second worst position (27th) also contained a surprise, in Atlanta, which has enjoyed decades of unbridled growth. Yet, Atlanta experienced a per capita income loss of 8.3 percent. There was no surprise in the third to the last ranking (26th) of Detroit, with its automobile industry employment losses and the physical deterioration of its central city, which may be unprecedented in modern peace-time. Per capita incomes declined 7.1 percent in Detroit. &lt;/p&gt;
&lt;p&gt;Dallas-Fort Worth, which has also experienced strong growth in the past, posted a surprising fourth worst, with a per capita income decline of 5.0 percent. San Francisco, which has now replaced San Jose as the metropolitan area with the highest per capita income, ranked fifth worst and experienced a decline of 3.5 percent.&lt;/p&gt;
&lt;p&gt;All of the remaining bottom 10 positions were occupied by metropolitan areas that have developed a reputation for strong growth. Tampa St. Petersburg ranked 6th worst, with a per capita income loss of 3.3 percent. Portland (Oregon) ranked 7th worst with a personal income loss of 2.5 percent. Riverside San Bernardino, with the lowest per capita income ranking out of the 28 metropolitan areas, ranked 8th worst with a per capita income drop of 2.2 percent.&lt;/p&gt;
&lt;p&gt;The Miami (to West Palm Beach) metropolitan area ranked 9th in personal income growth with a loss of 1.4 percent from 2000 to 2009, while Denver topped out the bottom 10, ranking, with a per capita income loss of 0.5 percent&lt;/p&gt;
&lt;p&gt;Overall, the South and the West captured nine of the bottom ten positions, while only one Midwestern metropolitan area, Detroit, broke into the bottom ten.&lt;/p&gt;
&lt;p&gt;Of course, the 2000s certainly were an unusual time.  But it does suggest that the dogma about the geography of regional prosperity needs to be challenged and perhaps thoroughly revised.&lt;/p&gt;
&lt;p&gt;&lt;em&gt;Photo: Pittsburgh: Second Fastest Growing Income per Capita 2000-2009 (photo by author)&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;Wendell Cox is a Visiting Professor, Conservatoire National des Arts et Metiers, Paris and the author of “&lt;a href=&quot;http://www.amazon.com/gp/product/0595399487?ie=UTF8&amp;amp;tag=newgeogrcom-20&amp;amp;linkCode=as2&amp;amp;camp=1789&amp;amp;creative=390957&amp;amp;creativeASIN=0595399487&quot;&gt;War on the Dream: How Anti-Sprawl Policy Threatens the Quality of Life&lt;/a&gt;&lt;img src=&quot;http://www.assoc-amazon.com/e/ir?t=newgeogrcom-20&amp;amp;l=as2&amp;amp;o=1&amp;amp;a=0595399487&quot; width=&quot;1&quot; height=&quot;1&quot; border=&quot;0&quot; alt=&quot;&quot; style=&quot;border:none !important; margin:0px !important;&quot; /&gt;”&lt;/em&gt;&lt;/p&gt;
</description>
 <comments>http://www.newgeography.com/content/002006-personal-income-2000s-top-and-bottom-ten-metropolitan-areas#comments</comments>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues">Urban Issues</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/atlanta">Atlanta</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/dallas">Dallas</category>
 <category domain="http://www.newgeography.com/category/story-topics/demographics">Demographics</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/detroit">Detroit</category>
 <category domain="http://www.newgeography.com/category/story-topics/economics">Economics</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/houston">Houston</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/los-angeles">Los Angeles</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/philadelphia">Philadelphia</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/pittsburgh">Pittsburgh</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/san-francisco">San Francisco</category>
 <category domain="http://www.newgeography.com/category/story-topics/silicon-valley">Silicon Valley</category>
 <pubDate>Sun, 23 Jan 2011 23:34:13 -0500</pubDate>
 <dc:creator>Wendell Cox</dc:creator>
 <guid isPermaLink="false">2006 at http://www.newgeography.com</guid>
</item>
<item>
 <title>Is Pennsylvania History? </title>
 <link>http://www.newgeography.com/content/001625-is-pennsylvania-history</link>
 <description>&lt;p&gt;On a recent whirlwind through Pennsylvania, I thought of James Carville, who popularized the notion that “It&#039;s Philadelphia on one side, Pittsburgh on the other, and Alabama in the middle.” It’s a clever line, but between the Ohio and Delaware rivers he is missing a great American tapestry: the wreck of the Penn-Central, United flight 93’s final frantic moments, the social history of the Johnstown flood, and whether a state of steel and coal is past or present.&lt;/p&gt;
&lt;p&gt;Pennsylvania also reflects some broad truths about the nation, in particular, that stimulus plans can take forty years, the Amish have it right, the Civil War remains a personal wound, and Amtrak will never be the agent of high-speed rail.&lt;/p&gt;
&lt;p&gt;My first stop was Harrisburg, and I got there on a train that crossed through Amish country.  I would imagine that as a community the Amish have the lowest debt-to-equity ratio in the country.  There is something timeless and inspiring about their red barns and silos that flickered across the train windows, and no one needs to exhort the Amish to “Go Green.”&lt;/p&gt;
&lt;p&gt;In Harrisburg, as if a character in a novel by Theodore Dreiser, I walked with my grip from the station to a restaurant in the shadow of the state capitol.  Later that evening I went to a high school graduation in the Concert Forum Hall, an elegant rotunda that was finished in the depths of the Depression.&lt;/p&gt;
&lt;p&gt;Around the circular walls are huge maps and timelines of world history.  I passed the slow moments of the ceremony following Hadrian on his way into the Syrian desert and Marco Polo to the court of the Great Khan.&lt;/p&gt;
&lt;p&gt;Will the current stimulus money produce any buildings of such greatness?  Somehow I doubt it.  When the train went through Philadelphia, I saw a cheerful sign in an empty rail yard, with wording to the effect that the hot government money would get Americans back to work.  The boast sounded unconvincing, as if everyone knows that stimulus money will end up funding deficits, national security advisors, and weapons contractors.&lt;/p&gt;
&lt;p&gt;General Robert E. Lee thought so much of Harrisburg and its strategic rail bridges that twice he embarked on campaigns to cut the main line of the Pennsylvania Railroad, and twice he failed, first at Antietam and then Gettysburg.  The bridges over the Susquehanna remain, and their stone arches echo Avignon.  The downtown — which looks in need of some stimulus — recalls the urban loneliness of Edward Hopper.  &lt;/p&gt;
&lt;p&gt;From Harrisburg I drove west to Chambersburg and Mercersburg, strategic hamlets in the Civil War, but now  a long way from the information superhighway. In 1864 Lee&#039;s general, John McCausland, burned Chambersburg to the ground when the citizens failed to post his demanded ransom, which was $100,000 in gold, or $500,000 in currency (even terrorists are leery of inflated money); later,  Chambersburg was the only northern town razed during in the war.&lt;/p&gt;
&lt;p&gt;President James Buchanan grew up in Mercersburg, a sleepy town notable today for its distinguished prep school. The log cabin in which he was born is now on the campus of Mercersburg Academy, and a nearby plaque notes that Buchanan served as U.S. Senator, ambassador to Russia and Great Britain, and Secretary of State before becoming the fifteenth president, impressive achievements for someone whose presidency is remembered as a failure, ruined by the Dred Scott decision and the drift to Civil War, which he did little to prevent.  &lt;/p&gt;
&lt;p&gt;In a more recent conflict, United flight 93 crashed west of Mercersburg, near Shanksville, which echos the lonely farmland over which so much of the Civil War was fought.  Conspiracy theories (a rare American growth industry) postulate that no plane crashed at Shanksville or that the one that did was destroyed by a missile, perhaps on orders from the trigger-happy Dick Cheney.  (President Bush was finishing up &lt;i&gt;My Pet Goat&lt;/i&gt; with the school kids.)  Other theories claim that engine parts were found eight miles from the crash site and no plane debris larger than small fragments were located.&lt;/p&gt;
&lt;p&gt;A visit to the temporary Flight 93 memorial, however, puts to rest these and a number of  other 9/11 conspiracy theories.   About eighty percent of the plane was found at the site, although much of its was buried in the soft earth that had been strip mined; many local residents saw the plane hurtling intact toward the ground; the only debris found miles from the crash site was paper; and one of the engines flew several hundred yards — not miles — from the impact crater.&lt;/p&gt;
&lt;p&gt;The memorial to the victims of Flight 93 is budgeted to cost about $50 million, some of which has been privately raised.  In design, it looks like the Vietnam Memorial in the middle of nowhere.  No doubt it was a flush Congress that authorized the expenditure, even though the temporary memorial, a simple American flag at the crash site and a makeshift observation deck, looks like a better use of government resources.  (Think of American tragedies remembered only with a statue in a traffic circle.)&lt;/p&gt;
&lt;p&gt;Forty Americans died at Shanksville.  The death toll at Johnstown, just up the road, was more than two thousand when in 1889 a dam above the city broke and a wall of water washed over the gritty mill town.  The tragedy is recalled in a series of memorials around the Little Conemaugh River Valley, and at a flood museum in Johnstown, which more recently has lost most of its steel production and its jobs.  &lt;/p&gt;
&lt;p&gt;Not even the local filming of the 1977 movie &lt;i&gt;Slap Shot&lt;/i&gt; with Paul Newman could save the economy of Johnstown, now laced with boarded storefronts, although it’s fun in the main square to imagine the presence of Coach Reggie Dunlop and the Hansons (“They brought their fuckin&#039; TOYS with &#039;em!”).&lt;/p&gt;
&lt;p&gt;A morality tale as well as a local disaster, blame for the Johnstown flood falls on The South Fork Fishing &amp;amp; Hunting Club, a mountain retreat of the super rich — Carnegie and Frick were members — that callously ignored warning signs that its South Fork Dam might give out.  No wonder its so hard to win as a Republican in central Pennsylvania.&lt;/p&gt;
&lt;p&gt;I spent the night in Pittsburgh, no longer a steel city, but one given over to the service economy:  in this case, sports stadiums, universities, finance, and hospitals.  Old America made steel rails; new America entertains the masses.&lt;/p&gt;
&lt;p&gt;I left Pittsburgh on the The Pennsylvanian, Amtrak’s daily service to Philadelphia and New York, a remnant of the Pennsylvania Railroad, once the largest corporation on earth.  After the Pennsylvania Railroad merged with the New York Central in 1968, the combined company failed less than three years later.  The writer &lt;a href=&quot;http://www.amazon.com/L.J.-Davis/e/B001H6MZM2/ref=ntt_athr_dp_pel_pop_1&quot;&gt;L.J. Davis&lt;/a&gt; said “it was more a death watch than a merger.”  Penn-Central was the Enron of the 1970s.  When it failed, it was the biggest bankruptcy in U.S. history.&lt;/p&gt;
&lt;p&gt;Here’s an overlooked cautionary tale about the delayed time reactions of government’s economic interventions:  played out over thirty years, the Penn-Central merger was a big success.  It took, however, the deregulation of the freight railroad business and the sale of the assets of Conrail (the successor to the bankruptcy) to the Norfolk Southern and CSX.  When the dust settled, Penn-Central left the Northeast with two privately-owned railroads that are everything the shareholders had hoped for in 1968.&lt;/p&gt;
&lt;p&gt;On my return trip east, the train crossed the Allegheny Mountains on the Horseshoe Curve, ambled through Altoona and Lewistown, and then paused for almost forty-five minutes in Harrisburg and Philadelphia—an odd schedule for a railroad now talking up high-speed rail.  Keep in mind that all the rail stimulus billions will bring is a return to the train speeds reached in the 1920s… the perfect metaphor for the illusions of government investment.   &lt;/p&gt;
&lt;p&gt;What makes me hopeful about Pennsylvania’s future?  I see optimism in the Amish red barns, the three rivers in Pittsburgh, the endurance of Johnstown, the four tracks of the main line, the federal-era houses in Harrisburg, the life of the Susquehanna, and the roadside markers like one in Chambersburg that reads:  “On June 26, 1863, Gen. Robert E. Lee, and staff, entered this square.”  &lt;/p&gt;
&lt;p&gt;What’s not to admire about a state that keeps its history so alive?  I only wish it still had a steel industry and the Broadway Limited.&lt;/p&gt;
&lt;p&gt;&lt;i&gt;Flickr Photo by &lt;a href=&quot; http://www.flickr.com/photos/goellnitz/3085077011/&quot;&gt;Runner Jenny&lt;/a&gt;: 155th Pennsylvania Zouave Monument, Little Round Top, Gettysburg. &lt;/p&gt;
&lt;p&gt;Matthew Stevenson is the author of &lt;strong&gt;&lt;a href=&quot;http://www.amazon.com/gp/product/0970913362?ie=UTF8&amp;amp;tag=newgeogrcom-20&amp;amp;linkCode=as2&amp;amp;camp=1789&amp;amp;creative=390957&amp;amp;creativeASIN=0970913362&quot;&gt;Remembering the Twentieth Century Limited&lt;/a&gt;&lt;img src=&quot;http://www.assoc-amazon.com/e/ir?t=newgeogrcom-20&amp;amp;l=as2&amp;amp;o=1&amp;amp;a=0970913362&quot; width=&quot;1&quot; height=&quot;1&quot; border=&quot;0&quot; alt=&quot;&quot; style=&quot;border:none !important; margin:0px !important;&quot; /&gt;&lt;/strong&gt;&lt;/a&gt;, winner of Foreword’s bronze award for best travel essays at this year&#039;s BEA.  He is also editor of &lt;a href=&quot;http://www.amazon.com/gp/product/1879957582?ie=UTF8&amp;amp;tag=newgeogrcom-20&amp;amp;linkCode=as2&amp;amp;camp=1789&amp;amp;creative=390957&amp;amp;creativeASIN=1879957582&quot;&gt;Rules of the Game: The Best Sports Writing from Harper&#039;s Magazine&lt;/a&gt;&lt;img src=&quot;http://www.assoc-amazon.com/e/ir?t=newgeogrcom-20&amp;amp;l=as2&amp;amp;o=1&amp;amp;a=1879957582&quot; width=&quot;1&quot; height=&quot;1&quot; border=&quot;0&quot; alt=&quot;&quot; style=&quot;border:none !important; margin:0px !important;&quot; /&gt;. &lt;/em&gt;&lt;/i&gt;He lives in Switzerland.&lt;/p&gt;
</description>
 <comments>http://www.newgeography.com/content/001625-is-pennsylvania-history#comments</comments>
 <category domain="http://www.newgeography.com/category/story-topics/obamas-america">Obama&amp;#039;s America</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/philadelphia">Philadelphia</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/pittsburgh-0">Pittsburgh</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/pittsburgh">Pittsburgh</category>
 <category domain="http://www.newgeography.com/category/story-topics/transportation">Transportation</category>
 <category domain="http://www.newgeography.com/category/story-topics/pennsylvania">Pennsylvania</category>
 <pubDate>Tue, 22 Jun 2010 00:00:06 -0400</pubDate>
 <dc:creator>Matthew Stevenson</dc:creator>
 <guid isPermaLink="false">1625 at http://www.newgeography.com</guid>
</item>
<item>
 <title>SPECIAL REPORT: Metropolitan Area Migration Mirrors Housing Affordability </title>
 <link>http://www.newgeography.com/content/001485-special-report-metropolitan-area-migration-mirrors-housing-affordability</link>
 <description>&lt;p&gt;On schedule, the annual ritual occurred last week in which the Census Bureau releases population and migration estimates and the press announces that people are no longer moving to the Sun Belt. The coverage by &lt;em&gt;The Wall Street Journal&lt;/em&gt; was typical of the media bias, with a headline “Sun Belt Loses its Shine.” In fact, the story is more complicated – and more revealing about future trends. &lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Domestic Migration Tracks Housing Affordability: &lt;/strong&gt; There have been changes in domestic migration (people moving from one part of the country to another) trends in the last few years, but the principal association is with housing affordability. &lt;!--break--&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Severe and Not-Severe Bubble Markets: &lt;/strong&gt; Overall, the major metropolitan markets with severe housing bubbles (a Median Multiple rising to at least 4.5, see note) lost nearly 3.2 million domestic migrants (&lt;a href=http://www.newgeography.com/content/00602-housing-downturn-moves-into-phase-ii&gt;all of these markets have restrictive land use regulation, such as smart growth or growth management&lt;/a&gt;) from 2000 to 2009. However, not all markets with severe housing bubbles lost domestic migrants. “Safety valve” bubble markets drew migration from the extreme bubble markets of coastal California, Miami and the Northeast. These “safety valve” markets (including Phoenix, Las Vegas, Portland, Seattle, Riverside-San Bernardino, Orlando, Tucson and Tampa-St. Petersburg), gained a net 2.2 million from 2000 to 2009, while the other bubble markets lost 5.3 million domestic migrants from 2000 to 2009 (See Table below, metropolitan area details in  &lt;a href=http://demographia.com/db-metmic2004.pdf&gt;&lt;em&gt;Demographia US Metropolitan Areas&lt;/em&gt;&lt;/a&gt; Table 8). At the same time, the markets that did not experience a severe housing bubble (those in which the Median Multiple did not reach 4.5) gained a net 1.5 million domestic migrants.&lt;/p&gt;
&lt;p&gt;The burst of the housing bubble explains the changes in domestic migration trends. Housing affordability has improved markedly in the extreme bubble markets, so that there was less incentive to move. Then there was the housing bust-induced Great Recession, which also slowed migration since people had more trouble selling their homes or finding anew job. As a result, the migration to the “safety valve” markets and to the smaller markets dropped substantially.&lt;/p&gt;
&lt;div style=&quot;font-size: 14px; font-family: Georgia, serif; line-height: 1.35em;&quot;&gt;
&lt;ul&gt;
&lt;li&gt;During 2009, the “safety valve” markets gained only 51,000 net domestic migrants, one-fifth of the annual average from 2000 to 2008.
&lt;li&gt;At the same time, the other severe housing bubble markets lost 236,000 domestic migrants in 2009, compared to the average loss of 638,000 from 2000 to 2008.
&lt;li&gt;Areas outside the major metropolitan areas also experienced a significant drop in domestic migration, dropping from an annual average of 203,000 between 2000 and 2008 to 23,000 in 2009.
&lt;li&gt;The major metropolitan markets that did not experience a severe housing bubble gained 161,000 domestic migrants in 2009, little changed from the 169,000 average from 2000 to 2008. These markets are concentrated in the South and Midwest.  Indianapolis, Kansas City, Nashville, Louisville and Columbus as well as the Texas metropolitan areas continued their positive migration trends.
&lt;/ul&gt;
&lt;/div&gt;
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--&gt;
&lt;/style&gt;&lt;table cellspacing=&quot;0&quot; cellpadding=&quot;0&quot; class=&quot;excel1&quot;&gt;
  &lt;col width=&quot;230&quot; style=&quot;width:173pt;&quot; /&gt;&lt;br /&gt;
  &lt;col width=&quot;84&quot; style=&quot;width:63pt;&quot; /&gt;&lt;br /&gt;
  &lt;col width=&quot;90&quot; style=&quot;width:68pt;&quot; /&gt;&lt;br /&gt;
  &lt;col width=&quot;76&quot; style=&quot;width:57pt;&quot; /&gt;&lt;/p&gt;
&lt;tr height=&quot;27&quot; style=&quot;height:20.25pt;&quot;&gt;
&lt;td colspan=&quot;4&quot; height=&quot;27&quot; class=&quot;excel6&quot; width=&quot;480&quot; style=&quot;height:20.25pt;width:361pt;&quot;&gt;Domestic Migration by Severity of the Housing Bubble&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;27&quot; style=&quot;height:20.25pt;&quot;&gt;
&lt;td colspan=&quot;4&quot; height=&quot;27&quot; class=&quot;excel6&quot; style=&quot;height:20.25pt;&quot;&gt;Metropolitan Areas    over 1,000,000 Population&lt;/td&gt;
&lt;/tr&gt;
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&lt;td colspan=&quot;4&quot; height=&quot;27&quot; class=&quot;excel6&quot; style=&quot;height:20.25pt;&quot;&gt;2000-2008&lt;/td&gt;
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&lt;td height=&quot;21&quot; class=&quot;excel2&quot; style=&quot;height:15.75pt;&quot;&gt;&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;&lt;/td&gt;
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&lt;td height=&quot;42&quot; class=&quot;excel2&quot; style=&quot;height:31.5pt;&quot;&gt;Metropolitan Areas&lt;/td&gt;
&lt;td class=&quot;excel4&quot; width=&quot;84&quot; style=&quot;width:63pt;&quot;&gt;2000-2009&lt;/td&gt;
&lt;td class=&quot;excel4&quot; width=&quot;90&quot; style=&quot;width:68pt;&quot;&gt;2009&lt;/td&gt;
&lt;td class=&quot;excel4&quot; width=&quot;76&quot; style=&quot;width:57pt;&quot;&gt;2000-2008 Average&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; class=&quot;excel2&quot; style=&quot;height:15.75pt;&quot;&gt;Withouth Severe Housing    Bubbles&lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;    1,509,870 &lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;        160,514 &lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;     168,670 &lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; class=&quot;excel2&quot; style=&quot;height:15.75pt;&quot;&gt;With Severe Housing Bubbles&lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;   (3,161,514)&lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;       (184,486)&lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;    (372,129)&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; class=&quot;excel2&quot; style=&quot;height:15.75pt;&quot;&gt;   Not &amp;quot;Safety Valve&amp;quot; Markets&lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;   (5,347,211)&lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;       (235,838)&lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;    (638,922)&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; class=&quot;excel2&quot; style=&quot;height:15.75pt;&quot;&gt;   &amp;quot;Safety Valve&amp;quot; Markets&lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;    2,185,697 &lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;          51,352 &lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;     266,793 &lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; class=&quot;excel2&quot; style=&quot;height:15.75pt;&quot;&gt;Outside Largest Metropolitan    Areas&lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;    1,651,644 &lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;          23,972 &lt;/td&gt;
&lt;td class=&quot;excel3&quot;&gt;     203,459 &lt;/td&gt;
&lt;/tr&gt;
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&lt;td height=&quot;21&quot; class=&quot;excel2&quot; style=&quot;height:15.75pt;&quot;&gt;&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;&lt;/td&gt;
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&lt;tr height=&quot;40&quot; style=&quot;height:30.0pt;&quot;&gt;
&lt;td colspan=&quot;4&quot; height=&quot;40&quot; class=&quot;excel5&quot; width=&quot;480&quot; style=&quot;height:30.0pt;width:361pt;&quot;&gt;Severe    housing bubbles: Housing costs rose to a Median Multiple of 4.5 or more (50%    above the historic norm of 3.0). &lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td colspan=&quot;4&quot; height=&quot;21&quot; class=&quot;excel7&quot; style=&quot;height:15.75pt;&quot;&gt;Median Multiple:    Median House Price/Median Household Income&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;103&quot; style=&quot;height:77.25pt;&quot;&gt;
&lt;td colspan=&quot;4&quot; height=&quot;103&quot; class=&quot;excel5&quot; width=&quot;480&quot; style=&quot;height:77.25pt;width:361pt;&quot;&gt;&amp;quot;Safety Valve&amp;quot; refers to markets with severe housing    bubbles that received substantial migration from more expensive markets    (coastal California, Miami and the Northeast). These markets include Las    Vegas, Phoenix, Riverside-San Bernardino, Sacramento, Portland, Seattle,    Orlando, Tucson and Tampa-St. Petersburg.&lt;/td&gt;
&lt;/tr&gt;
&lt;/table&gt;
&lt;p&gt;&lt;br&gt;&lt;/p&gt;
&lt;p&gt;Moreover, the Census Bureau revised its previous domestic migration figures for 2000 to 2008 to add more than 110,000 from the markets without severe housing bubbles, while taking away more than 150,000 domestic migrants from the markets with severe housing bubbles. This adjustment alone rivals the 2009 domestic migration loss of 183,000 in these markets&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Population Growth: The Top 10 Metropolitan Areas: &lt;/strong&gt; Sun Belt metropolitan areas continued to experience the greatest population growth. Between 2000 and 2009, the fastest growing metropolitan areas were Atlanta, Dallas-Fort Worth and Houston, In 2009, Washington, DC was added to the list (Details in &lt;a href=http://demographia.com/db-metmic2004.pdf&gt;&lt;em&gt;Demographia US Metropolitan Areas&lt;/em&gt;&lt;/a&gt;, Table 2). &lt;/p&gt;
&lt;p&gt;&lt;strong&gt;New York: &lt;/strong&gt; The New York metropolitan area remains the nation’s largest, now reaching a population of over 19 million. More than 700,000 new residents have been added since 2000. However, New York’s population growth has been the second slowest of the 10 largest metropolitan areas since 2000 (Figure 1). Moreover, New York’s net domestic out-migration has been huge. New York has lost 1,960,000 domestic migrants, which is more people than live in the boroughs of The Bronx and Richmond combined. Overall, 10.7% of the New York metropolitan area’s 2000 population left the metropolitan area between 2000 and 2009. More than 1,200,000 of this domestic migration was from the city of New York. Between 2008 and 2009, New York’s net domestic out-migration slowed from the minus 1.32% 2000-2008 annual rate to minus 0.58%., reflecting the smaller migration figures that have been typical of the Great Recession.&lt;/p&gt;
&lt;p&gt;&lt;img src=http://www.newgeography.com/files/coxmig20091.png&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Los Angeles: &lt;/strong&gt; For decades, Los Angeles has been one of the world’s fastest growing metropolitan areas. Growth had ebbed somewhat by the 1990s, when Los Angeles added 1.1 million people. The California Department of Finance had projected that Los Angeles would add another 1.35 million people between 2000 and 2010. Yet, the Los Angeles growth rate fell drastically. From 2000 to 2009, Los Angeles added barely one-third the projected amount (476,000) and grew only 3.8%. Unbelievably, fast growing Los Angeles became the slowest growing metropolitan area among the 10 largest. In 2009, Los Angeles had 12.9 million people. Los Angeles lost 1.365 million domestic migrants, which is of 11.0% of its 2000 population, and the most severe outmigration among the top 10 metropolitan areas (Figure 2).&lt;/p&gt;
&lt;p&gt;&lt;img src=http://www.newgeography.com/files/coxmig20092.png&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Chicago: &lt;/strong&gt; Chicago continues to be the nation’s third largest metropolitan area, at 9.6 million population, a position it has held since being displaced by Los Angeles in 1960. Chicago has experienced decades of slow growth and continues to grow less than the national average, at 5.1% between 2000 and 2009 (the national average was 8.8%). Yet, Chicago grew faster than both New York and Los Angeles. Chicago also lost a large number of domestic migrants (561,000), though at a much lower rate than New York and Chicago (6.2%). Even so, Chicago is growing fast enough that it could exceed 10 million population in little more than a decade, by the 2020 census.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Dallas-Fort Worth: &lt;/strong&gt; Dallas-Fort Worth has emerged as the nation’s fourth largest metropolitan area, at 6.4 million, having added 1,250,000 since 2000. In 2000, Dallas-Fort Worth ranked fifth, with 500,000 fewer people than Philadelphia, which it now leads by nearly 500,000. Dallas-Fort Worth added more population than any metropolitan area in the nation between 2008 and 2009 and has been the fastest growing of the 10 top metropolitan areas since 2006. As a result, Dallas-Fort Worth has replaced Atlanta as the high-income world’s fastest growing metropolitan area with more than 5,000,000 population. Dallas-Fort Worth added a net 317,000 domestic migrants between 2000 and 2009. &lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Philadelphia: &lt;/strong&gt; Philadelphia is the nation’s fifth largest metropolitan area, at just below 6,000,000 population. Like Chicago, Philadelphia has had decades of slow growth, yet has grown faster in this decade than both New York and Los Angeles (4.8%). Philadelphia has lost a net 115,000 domestic migrants since 2000, for a loss rate of 2.2%, well below that of New York, Los Angeles and Chicago. &lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Houston: &lt;/strong&gt; Houston ranks sixth, with 5.9 million people and is giving Dallas-Fort Worth a “run for its money.” Like Dallas-Fort Worth, Houston has added more than 1,000,000 people since 2000. Over the same period, Houston has passed Miami and Washington (DC) in population. Houston has added a net 244,000 domestic migrants since 2000, and added 50,000 in 2008-2009, the largest number in the country. Like Dallas-Fort Worth, Houston accelerated its annual domestic migration growth rate in 2008-2009. At the current growth rate, Houston seems likely to pass Philadelphia in population shortly after the 2010 census.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Miami: &lt;/strong&gt; Miami (stretching from Miami through Fort Lauderdale to West Palm Beach) is the seventh largest metropolitan area, with 5.6 million people. Miami has added more than 500,000 people, for a growth rate of 10.4%. However, Miami has suffered substantial domestic migration losses, at 287,000, a loss rate of, 5.7% relative to its 2000 population. &lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Washington (DC): &lt;/strong&gt; Washington recaptured 8th place, moving ahead of Atlanta, which had temporarily replaced it. Washington’s population is 5.5 million and added 655,000 between 2000 and 2009, for a growth rate of 13.6%. However, Washington lost a net 110,000 domestic migrants, 2.2% of its 2000 population. That trend was reversed in 2008-2009, when a net 18,000 domestic migrants moved to Washington, perhaps reflecting the increased concentration of economic power in the nation’s capital.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Atlanta: &lt;/strong&gt; Atlanta is the real surprise this year. For more than 30 years, Atlanta has had strong growth, however, this year it slowed. Atlanta is the 9th largest metropolitan area in the nation, at 5.5 million. Since 2000, Atlanta has added 1.2 million people, though added only 90,000 last year. Atlanta has added a net 429,000 domestic migrants since 2000, though the rate slowed to only 17,000 in 2008-2009. &lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Boston: &lt;/strong&gt; Boston is the nation’s 10th largest metropolitan area, with 4.6 million people. During the 2000s, Boston has added nearly 200,000, growing by 4.2%. Yet, Boston has also experienced a net domestic migration loss of 236,000, or 5.4% of its 2000 population. In 2008-2009, Boston, like Washington, reversed its domestic migration losses, adding 7,000.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Trends by Size of Metropolitan Area: &lt;/strong&gt; As throughout the decade, the slowest growing areas of the nation have been metropolitan areas over 10,000,000 population (New York and Los Angeles), which grew 3.9% and non-metropolitan areas, which grew 2.6% during the decade Metropolitan areas that had between 2.5 and 5.0 million population in 2000 boasted the biggest jump (these include fast growing Houston and Atlanta, which are now more than 5 million), at 13.4% for the decade. All of the other size classifications grew between 8.9% and 11.3% over the decade (see &lt;a href=http://demographia.com/db-metmic2004.pdf&gt;&lt;em&gt;Demographia US Metropolitan Areas&lt;/em&gt;&lt;/a&gt;, Table 1). Metropolitan areas that began the decade with between 5,000,000 and 10,000,000 population gained 10.0%. Those with 250,000 to 500,000 grew 10.4%, those with 500,000 to 1,000,000 grew 10.2% and the smallest metropolitan areas, those from 50,000 to 250,000 grew 8.9%&lt;/p&gt;
&lt;p&gt;Metropolitan areas over 1,000,000 population lost 2.19 million domestic migrants during the decade, but smaller metropolitan areas added 2.24 million domestic migrants. Non-metropolitan areas lost 50,000 domestic migrants.  In 2009, the smaller metropolitan areas gained 125,000 domestic migrants, while the larger metropolitan areas lost 30,000. Non-metropolitan areas lost more than 90,000 domestic migrants. As noted above, these smaller figures for 2009 reflect the more stable housing market and the extent to which the Great Recession has reduced geographic mobility (See &lt;a href=http://demographia.com/db-metmic2004.pdf&gt;&lt;em&gt;Demographia US Metropolitan Areas&lt;/em&gt;&lt;/a&gt;, Tables 1 and 3).&lt;/p&gt;
&lt;p&gt;&lt;hr&gt;&lt;/p&gt;
&lt;p&gt;Note: The Median Multiple is the median house price divided by the median household income. &lt;a href=http://www.demographia.com/dhi.pdf&gt;The historic standard has been 3.0&lt;/a&gt;.&lt;/p&gt;
&lt;p&gt;Photograph: Dallas&lt;/p&gt;
&lt;p&gt;&lt;em&gt;Wendell Cox is a Visiting Professor, Conservatoire National des Arts et Metiers, Paris. He was born in Los Angeles and was appointed to three terms on the Los Angeles County Transportation Commission by Mayor Tom Bradley.  He is the author of &lt;a href=&quot;http://www.amazon.com/gp/product/0595399487?ie=UTF8&amp;amp;tag=newgeogrcom-20&amp;amp;linkCode=as2&amp;amp;camp=1789&amp;amp;creative=390957&amp;amp;creativeASIN=0595399487&quot;&gt;&quot;War on the Dream: How Anti-Sprawl Policy Threatens the Quality of Life&lt;/a&gt;.&lt;img src=&quot;http://www.assoc-amazon.com/e/ir?t=newgeogrcom-20&amp;amp;l=as2&amp;amp;o=1&amp;amp;a=0595399487&quot; width=&quot;1&quot; height=&quot;1&quot; border=&quot;0&quot; alt=&quot;&quot; style=&quot;border:none !important; margin:0px !important;&quot; /&gt;”&lt;/em&gt;&lt;/p&gt;
</description>
 <comments>http://www.newgeography.com/content/001485-special-report-metropolitan-area-migration-mirrors-housing-affordability#comments</comments>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues">Urban Issues</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/dallas">Dallas</category>
 <category domain="http://www.newgeography.com/category/story-topics/demographics">Demographics</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/houston">Houston</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/indianapolis">Indianapolis</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/kansas-city">Kansas City</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/los-angeles">Los Angeles</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/new-york">New York</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/philadelphia">Philadelphia</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/phoenix">Phoenix</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/washington-dc">Washington DC</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/chicago">Chicago</category>
 <pubDate>Mon, 29 Mar 2010 00:25:51 -0400</pubDate>
 <dc:creator>Wendell Cox</dc:creator>
 <guid isPermaLink="false">1485 at http://www.newgeography.com</guid>
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 <title>Will a Dying City Finally Turn to Immigrants?</title>
 <link>http://www.newgeography.com/content/001472-will-a-dying-city-finally-turn-immigrants</link>
 <description>&lt;p&gt;Cuyahoga County Treasurer Jim Rokakis, who is based in Cleveland, estimates that new census numbers might show Cleveland&#039;s population to be 325,000, a whopping 153,000 drop in 10 years!  That would be an average of 15,000 people leaving Cleveland every year.&lt;/p&gt;
&lt;p&gt;That’s 1,250 people jumping ship every month,&lt;/p&gt;
&lt;p&gt;312 people fleeing the wreckage every week,&lt;/p&gt;
&lt;p&gt;45 people evacuating every day, or&lt;/p&gt;
&lt;p&gt;2 people running out of Cleveland every hour, 24/7, the whole year, for 10 straight years.&lt;!--break--&gt;&lt;/p&gt;
&lt;p&gt;Even conservative estimates have us losing 10 percent of our population this decade, the fastest rate of decline of any major American city (except New Orleans). And still, remarkably, we hear no alarm bells from City Hall, no calls of urgency, just a commitment to stay the course and manage the decline.&lt;/p&gt;
&lt;p&gt;While the extent of the exodus is debateable, it’s obvious that Cleveland, a city that once boasted 1 million residents, is not on the bright path to rebirth.&lt;/p&gt;
&lt;p&gt;Maybe we don&#039;t really understand the problem. &lt;/p&gt;
&lt;p&gt;New York City and Chicago, like most major cities, see significant out-migration of their existing residents each year. What is atypical is that Cleveland does not enjoy the energy of new people moving in.&lt;/p&gt;
&lt;p&gt;Put simply, the city needs the fresh optimism and pluck of new immigrants, the most likely source of New Clevelanders.&lt;/p&gt;
&lt;p&gt;New immigrants are inherently mobile,and can move to Cleveland as part of secondary migration from New York City or other gateway cities.  Many would be excited to pursue their American Dream right here on the shores of Lake Erie.  In part due to the presence of immigrant language cable television and the internet, they can come to Cleveland and still retain ties to their native culture. Immigrants are moving to far more isolated places, such as Fargo, North Dakota.&lt;/p&gt;
&lt;p&gt;The great shame is that this was once proud city of immigrants (nearly 1/3 foreign-born in the early 20th century). But it now only 5% of its population is foreign-born, well-below the national average of 12%.&lt;/p&gt;
&lt;p&gt;But none of this impresses Mayor Frank Jackson who summarily dismisses immigrant-attraction initiatives like those in Philadelphia and those being discussed now in Detroit. Yet the basic reality is that immigration provides the only way for cities like Cleveland to generate the kind of numbers needed to make up for decades of mass out-migration.&lt;/p&gt;
&lt;p&gt;In numerous cities around the country, economic development professionals and foundations are looking at ways to tap the immigrant market. This will not only counter local depopulation and stabilize local the housing market, but will also attract a new wave of urban entrepreneurs, investors and consumers.&lt;/p&gt;
&lt;p&gt;They also realize that a globally diverse city would act as a magnet for the young, international and minority professionals leading the New Economy. These people could  help catalyze a transformation to a more entrepreneurial, globally-connected and innovation-based local economy.&lt;/p&gt;
&lt;p&gt;Philadelphia Mayor Michael Nutter announced his plans to recruit 75,000 newcomers within five years to fill the city&#039;s abandoned homes.  And he&#039;s targeting immigrant newcomers who have recently arrived in New York City.&lt;/p&gt;
&lt;p&gt;In Detroit, the New Economy Initiative (a $100 million regional fund for economic development), the Skillman Foundation, and the Greater Detroit Chamber of Commerce are conducting a community-wide discussion about ways to rebuild the city by attracting immigrants and international resources and promoting new intercultural partnerships for the benefit of all its citizens.&lt;/p&gt;
&lt;p&gt;Other cities consider immigrant-attraction strategies, but Cleveland City Hall ignores the very people most likely to move to Cleveland: immigrants looking to own their first homes and to start their new businesses. &lt;/p&gt;
&lt;p&gt;Pittsburgh-based PNC Financial Services Group conducted a study on Northeast Ohio’s economy and concluded that that the region is likely to suffer even after the rest of the country recovers from the recession.  PNC’s Senior Economist and author of &lt;em&gt;The Econosphere&lt;/em&gt;, Craig Thomas, found that attracting immigrants would help the region’s economy through investments in housing stock and start-ups.&lt;/p&gt;
&lt;p&gt;“As people leave, it really does take international folks to come in, open up stores and fill up neighborhoods,” Mr. Thomas told &lt;em&gt;Crain’s Cleveland Business&lt;/em&gt;.  &lt;/p&gt;
&lt;p&gt;But Mayor Jackson insists that efforts like those in Philadelphia and supported by economists like Mr. Thomas are not for Cleveland.  As he began his second term, he said that he is positioning the City to compete in the global economy by building from within by using what he calls &quot;self-help.&quot;&lt;/p&gt;
&lt;p&gt;But not many are left to help. And by the time the policy is seen as a failure, even more will be gone.&lt;/p&gt;
&lt;p&gt;As people leave, so do businesses, from neighborhoods and many parts of downtown where vacancy rates have skyrocketed.&lt;/p&gt;
&lt;p&gt;As Cleveland’s downward spiral continues, the local leadership appears clueless on how to stop it. &lt;/p&gt;
&lt;p&gt;&lt;em&gt;Richard Herman is the co-author of &lt;em&gt;&lt;a href=&quot;http://www.amazon.com/gp/product/0470455713?ie=UTF8&amp;amp;tag=newgeogrcom-20&amp;amp;linkCode=as2&amp;amp;camp=1789&amp;amp;creative=390957&amp;amp;creativeASIN=0470455713&quot;&gt;Immigrant, Inc.: Why Immigrant Entrepreneurs Are Driving the New Economy (and how they will save the American worker)&lt;/a&gt;&lt;img src=&quot;http://www.assoc-amazon.com/e/ir?t=newgeogrcom-20&amp;amp;l=as2&amp;amp;o=1&amp;amp;a=0470455713&quot; width=&quot;1&quot; height=&quot;1&quot; border=&quot;0&quot; alt=&quot;&quot; style=&quot;border:none !important; margin:0px !important;&quot; /&gt;&lt;/em&gt; (John Wiley &amp;amp; Sons, 2009).  Herman is the founder of an immigration and business law firm in Cleveland, Ohio, which serves a global clientele in over 10 languages.  He is the co-founder of a chapter of TiE, a global network of entrepreneurs started in 1992 in Silicon Valley by immigrants from India.  For more information on immigrant entrepreneurship and rust belt revival, see &lt;a href=&quot;http://www.ImmigrantInc.com&quot; title=&quot;www.ImmigrantInc.com&quot;&gt;www.ImmigrantInc.com&lt;/a&gt; ;     &lt;a href=&quot;http://www.youtube.com/user/Immigrantinc2010&quot; title=&quot;www.youtube.com/user/Immigrantinc2010&quot;&gt;www.youtube.com/user/Immigrantinc2010&lt;/a&gt; ; &lt;a href=&quot;http://www.ohio.tie.org&quot; title=&quot;www.ohio.tie.org&quot;&gt;www.ohio.tie.org&lt;/a&gt; .  Contact Richard at &lt;a href=&quot;mailto:richard.t.herman@gmail.com&quot;&gt;richard.t.herman@gmail.com&lt;/a&gt; or 216-696-6170.&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;&lt;a href=http://www.flickr.com/photos/scallop_holden/3138600362/&gt;Photo by ScallopHolden.com&lt;/a&gt;&lt;/em&gt; &lt;/p&gt;
</description>
 <comments>http://www.newgeography.com/content/001472-will-a-dying-city-finally-turn-immigrants#comments</comments>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues">Urban Issues</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/cleveland">Cleveland</category>
 <category domain="http://www.newgeography.com/category/story-topics/demographics">Demographics</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/detroit">Detroit</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/philadelphia">Philadelphia</category>
 <category domain="http://www.newgeography.com/category/story-topics/policy">Policy</category>
 <pubDate>Fri, 19 Mar 2010 23:03:11 -0400</pubDate>
 <dc:creator>Richard Herman</dc:creator>
 <guid isPermaLink="false">1472 at http://www.newgeography.com</guid>
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 <title>Special Report: Infill in US Urban Areas </title>
 <link>http://www.newgeography.com/content/00852-special-report-infill-us-urban-areas</link>
 <description>&lt;p&gt;One of the favored strategies of current urban planning is “infill” development. This is development that occurs within the existing urban footprint, as opposed that taking place on the fringe of the urban footprint (suburbanization). For the first time, the United States Bureau of the Census is producing data that readily reveals infill, as measured by population growth, in the nation’s urban areas. &lt;/p&gt;
&lt;p&gt;&lt;strong&gt;2000 Urban Footprint Populations&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;The new 2007 estimates relate to urban areas or urban &lt;a href=http://www.demographia.com/db-ua2000pop.htm&gt;footprints as defined in 2000&lt;/a&gt; and are produced by the American Community Survey program of the Bureau of the Census. Urban areas are the continuous urbanization that one would observe as the lights of a “city” on a clear night from an airplane. It is the extent of development from one side of the urban form to the other. Further, urban areas are &lt;i&gt;not&lt;/i&gt; metropolitan areas, which are always larger and are defined by work trip travel patterns. Metropolitan areas &lt;a href=http://www.demographia.com/db-define.pdf&gt;&lt;i&gt;always&lt;/i&gt; include adjacent rural areas, while urban areas &lt;i&gt;never&lt;/i&gt; do&lt;/a&gt;.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;The Process of Infill&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Although embraced with often religious passion within the urban planning community, infill is neither good nor bad in terms of social or environmental impact. Infill always increases population densities and that means more traffic. If road capacity is increased sufficiently, traffic congestion can be kept at previous levels. If on the other hand, nothing is done, traffic congestion is likely to increase along with population. This means slower traffic and more stop and go operations, which inevitably increases the intensity of air pollution with the potential to cancel out any reductions in greenhouse gas emissions (GHG) that might occur if average car trip lengths decline. Similar difficulties can occur with respect to other infrastructure systems, such as sewer and water. Expanding roads, sewer and water systems in already developed areas can be far more expensive than new systems on greenfield sites. Regrettably, boosters of infill   routinely ignore these issues.&lt;/p&gt;
&lt;p&gt;But infill has been going on for years, along with suburbanization, both in the United States and in other first world nations. This is indicated by the general densification trend that occurred in US urban areas between 1990 and 2000 and the longer term densification trends that occurred in a number of southwestern urban areas, such as Los Angeles, San Jose, Riverside-San Bernardino, Phoenix, Dallas-Fort Worth and Las Vegas. All these traditionally “sprawling” areas have, in fact, &lt;a href=http://www.demographia.com/db-uza2000.htm&gt;been densifying since 1960 or before&lt;/a&gt;. Since 2000, 33 of the nation’s 37 urban areas with a population exceeding 1,000,000 population experienced population infill to their 2000 urban footprints.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Infill in Traditionally Regulated Markets (More Responsive Markets)&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Infill is a natural consequence of the traditional post-World War II land use regulation, which tends towards accommodating both demographic growth and market forces. This has been replaced by more prescriptive (often called “smart growth”) land use regulation in some urban areas. Under traditional regulation, suburban development followed a “leap frog” process, moving ever further out. This is roundly condemned in today’s planning literature and among leading academics and policy makers. &lt;/p&gt;
&lt;p&gt;Leap frog development occurs where urban development skips over empty land and creates a less continuous urban fabric. Land is developed based upon the interplay between sellers and buyers. Due to fewer planning restrictions, no seller can be sure that their land will be purchased since there is always plenty of land that buyers can otherwise purchase. This keeps land prices down. In the more responsive markets, it is typical for land and site infrastructure &lt;a href=http://www.demographia.com/dhi-us8.pdf&gt;costs to be 20 percent of the total price land and house price&lt;/a&gt;. &lt;/p&gt;
&lt;p&gt;Infill occurs as land that has been “leaped” over is subsequently purchased for development. Again, because buyers have plenty of choices, prices of the infill land remains low, so that land and infrastructure costs remain relatively affordable in relationship to the overall new house purchase price.&lt;/p&gt;
&lt;p&gt;The result is an urban area that is generally continuous, though with a transitional “ragged edge.” The ragged edge enabled the broad expansion of home ownership that occurred in the decades following World War II by keeping house prices low.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Infill in More Prescriptive Markets (Smart Growth)&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;The infill process is quite dramatically different in more prescriptive markets. Infill might be mandated as a percentage of total development or by severely limiting the development allowed to occur closer to the urban fringe. Sellers of land on which development is permitted have disproportionate power to charge higher prices because the planning regime seriously limits the availability of alternative sites for buyers. This, of course, flows through to house prices. The share of land and site infrastructure &lt;a href=http://www.demographia.com/dhi-us8.pdf&gt;can rise to two-thirds of the house and land cost&lt;/a&gt;. The urban area may have a “clearer” edge, but at a significant loss in housing affordability. &lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Infill Trends in the 2000s&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;The new infill estimates indicate that American urban areas continue to densify. Between 2000 and 2007, the 33 of the 37 urban areas of more than 1,000,000 population experienced densification in their 2000 urban footprints. The average population infill increase was 5.6 percent (See Table the following table).&lt;/p&gt;
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white-space:nowrap;
}
.excel7 {
padding-top:1px;
padding-right:1px;
padding-left:1px;
color:black;
font-size:12.0pt;
font-weight:700;
font-style:normal;
text-decoration:none;
font-family:&quot;Arial Narrow&quot;, sans-serif;
text-align:general;
vertical-align:bottom;
border:none;
white-space:nowrap;
}
--&gt;
&lt;/style&gt;&lt;table cellspacing=&quot;0&quot; cellpadding=&quot;0&quot; class=&quot;excel1&quot;&gt;
  &lt;col width=&quot;205&quot; style=&quot;width:154pt;&quot; /&gt;&lt;br /&gt;
  &lt;col width=&quot;86&quot; span=&quot;2&quot; style=&quot;width:65pt;&quot; /&gt;&lt;br /&gt;
  &lt;col width=&quot;72&quot; style=&quot;width:54pt;&quot; /&gt;&lt;br /&gt;
  &lt;col width=&quot;57&quot; style=&quot;width:43pt;&quot; /&gt;&lt;br /&gt;
  &lt;col width=&quot;43&quot; style=&quot;width:32pt;&quot; /&gt;&lt;br /&gt;
  &lt;col width=&quot;74&quot; style=&quot;width:56pt;&quot; /&gt;&lt;br /&gt;
  &lt;col width=&quot;46&quot; style=&quot;width:35pt;&quot; /&gt;&lt;/p&gt;
&lt;tr height=&quot;27&quot; style=&quot;height:20.25pt;&quot;&gt;
&lt;td colspan=&quot;8&quot; height=&quot;27&quot; class=&quot;excel4&quot; style=&quot;height:20.25pt;width:504pt;&quot;&gt;Population Infill in 2000 Urban Footprints&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;27&quot; style=&quot;height:20.25pt;&quot;&gt;
&lt;td colspan=&quot;8&quot; height=&quot;27&quot; class=&quot;excel4&quot; style=&quot;height:20.25pt;&quot;&gt;2000-2007&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td width=&quot;191&quot; height=&quot;21&quot; class=&quot;excel11&quot; style=&quot;height:15.75pt;&quot;&gt;&amp;nbsp;&lt;/td&gt;
&lt;td colspan=&quot;5&quot; class=&quot;excel12&quot;&gt;Population Change: 2000 Urban Footprint&lt;/td&gt;
&lt;td rowspan=&quot;2&quot; class=&quot;excel13&quot; width=&quot;77&quot; style=&quot;border-bottom:1.0pt solid black;width:56pt;&quot;&gt;Population Density of 2000 Urban Footprint in 2007&lt;/td&gt;
&lt;td class=&quot;excel11&quot;&gt;&amp;nbsp;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;65&quot; style=&quot;height:48.75pt;&quot;&gt;
&lt;td height=&quot;65&quot; class=&quot;excel14&quot; style=&quot;height:48.75pt;&quot;&gt;Urban Area&lt;/td&gt;
&lt;td class=&quot;excel15&quot; width=&quot;90&quot; style=&quot;width:65pt;&quot;&gt;2000 Census&lt;/td&gt;
&lt;td class=&quot;excel15&quot; width=&quot;89&quot; style=&quot;width:65pt;&quot;&gt;2007 Estimate&lt;/td&gt;
&lt;td class=&quot;excel15&quot; width=&quot;75&quot; style=&quot;width:54pt;&quot;&gt;Change&lt;/td&gt;
&lt;td class=&quot;excel15&quot; width=&quot;59&quot; style=&quot;width:43pt;&quot;&gt;%&lt;/td&gt;
&lt;td class=&quot;excel15&quot; width=&quot;45&quot; style=&quot;width:32pt;&quot;&gt;Rank&lt;/td&gt;
&lt;td class=&quot;excel16&quot; width=&quot;50&quot; style=&quot;width:35pt;&quot;&gt;Rank&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;Riverside--San Bernardino, CA &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     1,506,816 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     1,800,117 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;    293,301 &lt;/td&gt;
&lt;td class=&quot;excel3&quot; align=&quot;right&quot;&gt;19.5%&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;1&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;        4,110 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;8&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;Atlanta, GA &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     3,499,840 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     4,118,485 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;    618,645 &lt;/td&gt;
&lt;td class=&quot;excel3&quot; align=&quot;right&quot;&gt;17.7%&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;2&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;        2,100 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;36&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;Austin, TX &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;       901,920 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     1,051,962 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;    150,042 &lt;/td&gt;
&lt;td class=&quot;excel3&quot; align=&quot;right&quot;&gt;16.6%&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;3&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;        3,308 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;17&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;Las Vegas, NV &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     1,314,357 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     1,518,835 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;    204,478 &lt;/td&gt;
&lt;td class=&quot;excel3&quot; align=&quot;right&quot;&gt;15.6%&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;4&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;        5,311 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;5&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;Houston, TX &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     3,822,509 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     4,370,475 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;    547,966 &lt;/td&gt;
&lt;td class=&quot;excel3&quot; align=&quot;right&quot;&gt;14.3%&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;5&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;        3,377 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;16&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;Portland, OR--WA &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     1,583,138 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     1,779,705 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;    196,567 &lt;/td&gt;
&lt;td class=&quot;excel3&quot; align=&quot;right&quot;&gt;12.4%&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;6&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;        3,755 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;12&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;Phoenix, AZ &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     2,907,049 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     3,254,634 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;    347,585 &lt;/td&gt;
&lt;td class=&quot;excel3&quot; align=&quot;right&quot;&gt;12.0%&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;7&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;        4,078 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;9&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;Dallas--Fort Worth, TX &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     4,145,659 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     4,549,281 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;    403,622 &lt;/td&gt;
&lt;td class=&quot;excel3&quot; align=&quot;right&quot;&gt;9.7%&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;8&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;        3,236 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;18&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;Orlando, FL &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     1,157,431 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     1,267,976 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;    110,545 &lt;/td&gt;
&lt;td class=&quot;excel3&quot; align=&quot;right&quot;&gt;9.6%&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;9&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;        2,799 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;24&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;San Antonio, TX &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     1,327,554 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     1,440,794 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;    113,240 &lt;/td&gt;
&lt;td class=&quot;excel3&quot; align=&quot;right&quot;&gt;8.5%&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;10&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;        3,540 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;14&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;Tampa--St. Petersburg, FL &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     2,062,339 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     2,209,067 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;    146,728 &lt;/td&gt;
&lt;td class=&quot;excel3&quot; align=&quot;right&quot;&gt;7.1%&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;11&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;        2,754 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;25&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;Sacramento, CA &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     1,393,498 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     1,488,647 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;      95,149 &lt;/td&gt;
&lt;td class=&quot;excel3&quot; align=&quot;right&quot;&gt;6.8%&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;12&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;        4,034 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;10&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;Seattle, WA &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     2,712,205 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     2,896,844 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;    184,639 &lt;/td&gt;
&lt;td class=&quot;excel3&quot; align=&quot;right&quot;&gt;6.8%&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;13&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;        3,040 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;21&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;Miami, FL &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     4,919,036 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     5,243,679 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;    324,643 &lt;/td&gt;
&lt;td class=&quot;excel3&quot; align=&quot;right&quot;&gt;6.6%&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;14&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;        4,703 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;6&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;Washington, DC--VA--MD &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     3,933,920 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     4,174,187 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;    240,267 &lt;/td&gt;
&lt;td class=&quot;excel3&quot; align=&quot;right&quot;&gt;6.1%&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;15&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;        3,611 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;13&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;Denver, CO &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     1,984,887 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     2,087,803 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;    102,916 &lt;/td&gt;
&lt;td class=&quot;excel3&quot; align=&quot;right&quot;&gt;5.2%&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;16&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;        4,192 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;7&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;Indianapolis, IN &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     1,218,919 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     1,278,687 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;      59,768 &lt;/td&gt;
&lt;td class=&quot;excel3&quot; align=&quot;right&quot;&gt;4.9%&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;17&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;        2,316 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;34&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;Columbus, OH &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     1,133,193 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     1,175,132 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;      41,939 &lt;/td&gt;
&lt;td class=&quot;excel3&quot; align=&quot;right&quot;&gt;3.7%&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;18&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;        2,960 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;22&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;Kansas City, MO--KS &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     1,361,744 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     1,408,900 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;      47,156 &lt;/td&gt;
&lt;td class=&quot;excel3&quot; align=&quot;right&quot;&gt;3.5%&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;19&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;        2,413 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;31&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;Virginia Beach, VA &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     1,394,439 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     1,442,494 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;      48,055 &lt;/td&gt;
&lt;td class=&quot;excel3&quot; align=&quot;right&quot;&gt;3.4%&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;20&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;        2,742 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;26&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;San Jose, CA &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     1,538,312 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     1,588,544 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;      50,232 &lt;/td&gt;
&lt;td class=&quot;excel3&quot; align=&quot;right&quot;&gt;3.3%&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;21&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;        6,110 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;2&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;Los Angeles, CA &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;   11,789,487 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;   12,171,625 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;    382,138 &lt;/td&gt;
&lt;td class=&quot;excel3&quot; align=&quot;right&quot;&gt;3.2%&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;22&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;        7,302 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;1&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;Cincinnati, OH--KY--IN &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     1,503,262 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     1,546,730 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;      43,468 &lt;/td&gt;
&lt;td class=&quot;excel3&quot; align=&quot;right&quot;&gt;2.9%&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;23&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;        2,305 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;35&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;Baltimore, MD &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     2,076,354 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     2,133,371 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;      57,017 &lt;/td&gt;
&lt;td class=&quot;excel3&quot; align=&quot;right&quot;&gt;2.7%&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;24&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;        3,128 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;19&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;San Diego, CA &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     2,674,436 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     2,747,620 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;      73,184 &lt;/td&gt;
&lt;td class=&quot;excel3&quot; align=&quot;right&quot;&gt;2.7%&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;25&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;        3,514 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;15&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;New York, NY--NJ--CT &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;   17,799,861 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;   18,223,567 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;    423,706 &lt;/td&gt;
&lt;td class=&quot;excel3&quot; align=&quot;right&quot;&gt;2.4%&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;26&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;        5,440 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;4&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;Minneapolis--St. Paul, MN &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     2,388,593 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     2,438,359 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;      49,766 &lt;/td&gt;
&lt;td class=&quot;excel3&quot; align=&quot;right&quot;&gt;2.1%&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;27&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;        2,727 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;27&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;Chicago, IL--IN &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     8,307,904 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     8,467,804 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;    159,900 &lt;/td&gt;
&lt;td class=&quot;excel3&quot; align=&quot;right&quot;&gt;1.9%&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;28&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;        3,992 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;11&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;St. Louis, MO--IL &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     2,077,662 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     2,103,040 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;      25,378 &lt;/td&gt;
&lt;td class=&quot;excel3&quot; align=&quot;right&quot;&gt;1.2%&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;29&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;        2,540 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;30&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;Milwaukee, WI &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     1,308,913 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     1,324,365 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;      15,452 &lt;/td&gt;
&lt;td class=&quot;excel3&quot; align=&quot;right&quot;&gt;1.2%&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;30&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;        2,719 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;28&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;Boston, MA--NH--RI &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     4,032,484 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     4,077,659 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;      45,175 &lt;/td&gt;
&lt;td class=&quot;excel3&quot; align=&quot;right&quot;&gt;1.1%&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;31&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;        2,350 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;33&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;Providence, RI--MA &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     1,174,548 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     1,183,622 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;       9,074 &lt;/td&gt;
&lt;td class=&quot;excel3&quot; align=&quot;right&quot;&gt;0.8%&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;32&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;        2,353 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;32&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;Philadelphia, PA--NJ--DE--MD &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     5,149,079 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     5,178,918 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;      29,839 &lt;/td&gt;
&lt;td class=&quot;excel3&quot; align=&quot;right&quot;&gt;0.6%&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;33&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;        2,880 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;23&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;San Francisco, CA &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     3,228,605 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     3,214,137 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     (14,468)&lt;/td&gt;
&lt;td class=&quot;excel3&quot; align=&quot;right&quot;&gt;-0.4%&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;34&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;        6,099 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;3&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;Detroit, MI &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     3,903,377 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     3,831,575 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     (71,802)&lt;/td&gt;
&lt;td class=&quot;excel3&quot; align=&quot;right&quot;&gt;-1.8%&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;35&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;        3,041 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;20&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;Pittsburgh, PA &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     1,753,136 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     1,687,509 &lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;     (65,627)&lt;/td&gt;
&lt;td class=&quot;excel3&quot; align=&quot;right&quot;&gt;-3.7%&lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;36&lt;/td&gt;
&lt;td class=&quot;excel2&quot;&gt;        1,981 &lt;/td&gt;
&lt;td align=&quot;right&quot;&gt;37&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;22&quot; style=&quot;height:16.5pt;&quot;&gt;
&lt;td height=&quot;22&quot; class=&quot;excel8&quot; style=&quot;height:16.5pt;&quot;&gt;Cleveland, OH &lt;/td&gt;
&lt;td class=&quot;excel9&quot;&gt;     1,786,647 &lt;/td&gt;
&lt;td class=&quot;excel9&quot;&gt;     1,705,917 &lt;/td&gt;
&lt;td class=&quot;excel9&quot;&gt;     (80,730)&lt;/td&gt;
&lt;td class=&quot;excel10&quot; align=&quot;right&quot;&gt;-4.5%&lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;37&lt;/td&gt;
&lt;td class=&quot;excel9&quot;&gt;        2,641 &lt;/td&gt;
&lt;td class=&quot;excel8&quot; align=&quot;right&quot;&gt;29&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; class=&quot;excel5&quot; style=&quot;height:15.75pt;&quot;&gt;Total&lt;/td&gt;
&lt;td class=&quot;excel6&quot;&gt; 116,773,113 &lt;/td&gt;
&lt;td class=&quot;excel6&quot;&gt; 122,182,066 &lt;/td&gt;
&lt;td class=&quot;excel6&quot;&gt; 5,408,953 &lt;/td&gt;
&lt;td class=&quot;excel7&quot; align=&quot;right&quot;&gt;5.6%&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;tr height=&quot;21&quot; style=&quot;height:15.75pt;&quot;&gt;
&lt;td height=&quot;21&quot; colspan=&quot;2&quot; style=&quot;height:15.75pt;&quot;&gt;Data from    US Bureau of the Census&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;/table&gt;
&lt;p&gt;&lt;br&gt;&lt;br&gt;&lt;br /&gt;
Riverside-San Bernardino, long castigated as a “sprawl” market, had the largest population infill, at 19.5 percent. Atlanta ranked number two, at 17.7 percent. This is a real surprise, since Atlanta was the &lt;a href=http://www.demographia.com/db-worldua.pdf&gt;least dense major urban area in the world in 2000&lt;/a&gt;, ranked second in 2000s infill. As a result, it is likely that Pittsburgh- often held up as a model of urban regeneration - is now the world’s least dense major urban area. On the other hand, if Atlanta’s infill rate continues, its 2000 urban footprint will be more dense than that of Boston by 2015. &lt;/p&gt;
&lt;p&gt;Austin ranked third, adding 16.6 percent population to its 2000 urban footprint. Las Vegas ranked fourth, with a 15.6 percent increase in its 2000 urban footprint. The density of Las Vegas is increasing so rapidly that by the 2010 census its 2000 urban footprint will be more dense than  the 2000 New York urban footprint, should the current rates continue.&lt;/p&gt;
&lt;p&gt;Perhaps most surprising of all is that Houston ranked fifth, added 14.3 percent to its 2000 urban footprint. This may surprise those who have denounced Houston’s largely deregulated regulatory environment, both in the city and in unincorporated county areas in the suburbs. Yet overall Houston’s infill exceeded that of smart growth model Portland. The Rose City stood at sixth,  adding 12.4 percent to its 2000 urban footprint. &lt;/p&gt;
&lt;p&gt;Perhaps equally surprising, Portland remains less dense than average for a western urban area. Its 2000 urban footprint density trailing Los Angeles, San Jose, San Francisco, Las Vegas, Denver, Riverside-San Bernardino, Phoenix and Sacramento, while leading only San Diego and Seattle.&lt;/p&gt;
&lt;p&gt;The top ten were rounded out by Phoenix (7th), Dallas-Fort Worth (8th), Orlando (9th) and San Antonio (10th). It is worth noting that like Houston, the unincorporated suburbs of Austin, Dallas-Fort Worth and San Antonio have largely deregulated land use regulation, yet these urban areas ranked high in infill.&lt;/p&gt;
&lt;p&gt;Interestingly some of the greatest infill growth also took place in the fastest growing, traditionally “sprawling” cities. Atlanta also had the largest numeric increase in the population of its 2000 urban footprint, at more than 600,000. Houston was a close second, at nearly 550,000.&lt;/p&gt;
&lt;p&gt;&lt;a href=http://www.newgeography.com/content/00851-percent-population-infill-2000-urban-footprints-2000-2007&gt;&lt;img src=http://www.newgeography.com/files/imagecache/Chart_fullnodeview/chartimages/coxInfillMap.png&gt;&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;In contrast, population losses since 2000 in the urban footprints of Cleveland, Pittsburgh, Detroit and San Francisco, means these urban areas experienced &lt;i&gt;no&lt;/i&gt; population infill. San Francisco’s loss enabled San Jose to move into second position nationally after Los Angeles in the population density of its 2000 urban footprint.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;How the Core Cities Fared&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;The core cities (municipalities) attracted, on average, their population share. Approximately 30 percent of the infill growth occurred inside the core cities. Even this figure may be a bit high, due to the impacts of annexation  &lt;/p&gt;
&lt;p&gt;All of the infill in Philadelphia, Baltimore, Chicago, Providence and Minneapolis-St. Paul occurred outside the core cities. The city of Portland attracted barely 10 percent of its urban area infill, despite highly publicized (and subsidized) infill projects such as the Pearl District. Core cities attracted the largest share of infill growth in such diverse cities as San Antonio, San Jose, Columbus, Phoenix and New York. &lt;/p&gt;
&lt;p&gt;Note: Additional information available at &lt;a href=&quot;http://www.demographia.com/db-uzafoot2007.pdf&quot; title=&quot;http://www.demographia.com/db-uzafoot2007.pdf&quot;&gt;http://www.demographia.com/db-uzafoot2007.pdf&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;i&gt;Wendell Cox is a Visiting Professor, Conservatoire National des Arts et Metiers, Paris. He was born in Los Angeles and was appointed to three terms on the Los Angeles County Transportation Commission by Mayor Tom Bradley.  He is the author of “&lt;a href=&quot;http://www.amazon.com/gp/product/0595399487?ie=UTF8&amp;amp;tag=newgeogrcom-20&amp;amp;linkCode=as2&amp;amp;camp=1789&amp;amp;creative=390957&amp;amp;creativeASIN=0595399487&quot;&gt;War on the Dream: How Anti-Sprawl Policy Threatens the Quality of Life&lt;/a&gt;.&lt;img src=&quot;http://www.assoc-amazon.com/e/ir?t=newgeogrcom-20&amp;amp;l=as2&amp;amp;o=1&amp;amp;a=0595399487&quot; width=&quot;1&quot; height=&quot;1&quot; border=&quot;0&quot; alt=&quot;&quot; style=&quot;border:none !important; margin:0px !important;&quot; /&gt;”&lt;/i&gt;&lt;/p&gt;
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 <comments>http://www.newgeography.com/content/00852-special-report-infill-us-urban-areas#comments</comments>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues">Urban Issues</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/cleveland">Cleveland</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/dallas">Dallas</category>
 <category domain="http://www.newgeography.com/category/story-topics/demographics">Demographics</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/houston">Houston</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/los-angeles">Los Angeles</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/philadelphia">Philadelphia</category>
 <category domain="http://www.newgeography.com/category/story-topics/urban-issues/san-francisco">San Francisco</category>
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 <pubDate>Mon, 15 Jun 2009 01:35:57 -0400</pubDate>
 <dc:creator>Wendell Cox</dc:creator>
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