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<?xml-stylesheet type="text/xsl" href="http://webfeeds.brookings.edu/feedblitz_rss.xslt"?><rss xmlns:content="http://purl.org/rss/1.0/modules/content/"  xmlns:a10="http://www.w3.org/2005/Atom" version="2.0" xmlns:feedburner="http://rssnamespace.org/feedburner/ext/1.0"><channel xmlns:dc="http://purl.org/dc/elements/1.1/"><title>Brookings Series - How We're Doing Index</title><link>http://www.brookings.edu/series/how-were-doing?rssid=How+Were+Doing</link><description>Brookings Series - How We're Doing Index</description><language>en</language><lastBuildDate>Sun, 26 Aug 2012 00:00:00 -0400</lastBuildDate><a10:id>http://www.brookings.edu/series.aspx?feed=How+Were+Doing</a10:id><a10:link rel="self" type="application/rss+xml" href="http://www.brookings.edu/series.aspx?feed=How+Were+Doing" /><pubDate>Sun, 31 Jul 2016 00:08:43 -0400</pubDate>
<item>
<feedburner:origLink>http://www.brookings.edu/research/papers/2012/08/26-recovery-renewal?rssid=How+Were+Doing</feedburner:origLink><guid isPermaLink="false">{C92D20F4-47BB-4BCE-9B47-E9D5728D96C6}</guid><link>http://webfeeds.brookings.edu/~/65487230/0/brookingsrss/series/howweredoing~How-Were-Doing-Ahead-of-the-Presidential-Election</link><title>How We're Doing Ahead of the Presidential Election</title><description><![CDATA[<div>
	<img src="http://www.brookings.edu/~/media/research/images/o/oa%20oe/obama_romney_mugs001/obama_romney_mugs001_16x9.jpg?w=120" alt="Merchandise with the likenesses of U.S. President Barack Obama and Republican presidential candidate Mitt Romney are displayed for sale in a shop at Union Station in Washington (REUTERS/Jonathan Ernst)" border="0" /><br /><p><strong>Index #13: Last Five Quarters</strong> <br />
<br />
Will the 2012 presidential election follow historical trends and benchmarks, or are more complex dynamics at play this year? For the last "How We're Doing" Index ahead of Election Day, a team of scholars at the Brookings Institution looked at U.S. economic growth over the past five quarters, which has decelerated while the "fiscal cliff" and the European financial crisis loom. Historically, high unemployment and poor economic growth have doomed incumbents, yet President Obama's poll numbers remain relatively stable. Will the November election turn on the state of the national economy, or might relatively better economic conditions in key swing states be enough to carry Obama to reelection?<a href="#story">Continue reading below chart &raquo;</a> <br />
<br />
<img alt="" height="1973" width="600" src="http://www.brookings.edu/~/media/Research/Files/Papers/2012/8/26-recovery-renewal/aughwdifig1.png?la=en" /><br />
<strong>Related Materials:</strong> <br />
<a href="%7E/link.aspx?_id=567D875738194EDA8E93502A0BFAE072&amp;_z=z">Past How We're Doing indexes &raquo;</a></p>
<p>
<a href="#sources">See data sources &raquo;</a> <a name="story"></a></p>
<p>
The U.S. economy continues to grow, but at a discouraging pace. U.S. real gross domestic product increased at an anemic 1.5 percent annual rate during the second quarter. While employment conditions strengthened earlier this year, new job growth has averaged about 100,000 positions per month since April. That's not enough to keep the unemployment rate from rising. The one bright spot has been the recent moderate improvement in the long-depressed housing market. The glut of houses is beginning to subside, leading to more housing construction and higher prices.</p><p>
The economic outlook is not expected to improve much, if at all, heading into the election. Growth is likely to remain below 2 percent in the third quarter, while the unemployment rate will stay above 8 percent. Concern is growing that Congress won't act to avert the "fiscal cliff" of tax increases and spending cuts set to take effect in January, which the Congressional Budget Office has predicted would lead the United States into a recession.
</p><p>
The crisis in the euro zone is worsening, and the threat to the global economy escalating. Government bond yields of Italy and Spain have peaked vis-à-vis those of Germany, fueling speculation about the economic and political sustainability of the euro as their common currency. Partly because of continued uncertainty in Europe, the International Monetary Fund has revised growth projections for China and India downward for this year and next. In turn, the outlook for U.S. exports to Europe and the emerging economies is deteriorating. Above all, the dampening effect of the European crisis is likely to delay investment and hiring decisions, further slowing the anemic recovery we have seen so far in the United States.
</p><p>
What does this all mean for the U.S. presidential election? 
</p><p>
It's important to remember that this is not a national campaign but 50 simultaneous state elections - and the outcome for 40 of them can be predicted with some accuracy. This year, election observers shouldn't obsess over national unemployment figures. The key is to watch economic and political indicators in the 10 states that are closely contested: Ohio, Florida, Pennsylvania, Nevada, Colorado, Iowa, Virginia, North Carolina, New Hampshire and Wisconsin.
</p><p>
Many of the swing states are doing better economically than the country as a whole. Ohio, for example, has a 7.2 percent unemployment rate, more than a point below the national average. And recent polls in several swing states show Obama running ahead of his national polling margins.
</p><p>
The biggest threat to Obama is a late surge for Mitt Romney, which could be precipitated by a collapse in the euro zone and further weakening of the domestic economy. In a bad economy, late-deciding voters often break for a credible challenger, so Obama's team needs to establish a large lead now, before any further economic weakening. Presidents who fail to set the tone early usually end up losing, as Presidents Jimmy Carter and George H.W. Bush did. 
</p><p>
So, yes, "it's the economy, stupid." But this year, it's an economy that stretches from local indicators in just 10 key states to the threat of national and perhaps global economic weakening. Obama needs to hope that the swing-state economies at least stay stable and that any bad news from abroad waits until after Nov. 6.
</p>
<p><a name="sources"></a></p>
<p>
</p>
<h2>Sources:</h2>
<p><em>GDP growth: <br />
</em>U.S. Bureau of Economic Analysis&nbsp;<br />
<br />
<em>Unemployment rate: <br />
</em>U.S. Bureau of Labor Statistics<br />
<em><br />
Percent unemployed for more than 26 weeks: <br />
</em>U.S. Bureau of Labor Statistics</p>
<p><em>Disposable personal income: <br />
</em>U.S. Bureau of Economic Analysis<br />
<br />
<em>Consumer inflation rate: <br />
</em>U.S. Bureau of Labor Statistics<em></em></p>
<p><em>Dow Jones Industrial Average:</em><br />
Yahoo! Finance<br />
<br />
<em>Consumer sentiment:<br />
</em>Reuters/University of Michigan survey of consumers</p>
<p><em>Consumer spending:<br />
</em>U.S. Bureau of Economic Analysis<br />
<em><br />
Months' supply of new homes:<br />
</em>U.S. Census Bureau</p>
<p><em>Interest rate on 30-year fixed mortgage:</em><br />
Freddie Mac</p>
<p><em>Metro area employment rates:</em><br />
U.S. Bureau of Labor Statistics</p>
<p><em>Metro area home price growth:</em><br />
Case-Shiller Index</p>
<p><em>U.S. combat fatalities, Afghanistan:</em><br />
icasualties.org</p>
<p><em>Civilian&nbsp;fatalities, Iraq:</em><br />
Brookings Iraq Index</p>
<p><em>Approval ratings of president and Congress:<br />
</em>Gallup<br />
<br />
<em>Percent of Americans "satisfied with the way things are":<br />
</em>Gallup<br />
<br />
<br />
</p>
<div>
		<h4>
			Authors
		</h4><ul>
			<li><a href="http://www.brookings.edu/experts/gayert?view=bio">Ted Gayer</a></li><li><a href="http://www.brookings.edu/experts/lombardid?view=bio">Domenico Lombardi</a></li><li><a href="http://www.brookings.edu/experts/westd?view=bio">Darrell M. West</a></li>
		</ul>
	</div><div>
		Publication: The Brookings Institution and The Washington Post
	</div><div>
		Image Source: &#169; Jonathan Ernst / Reuters
	</div>
</div><div style="clear:both;padding-top:0.2em;"><a title="Like on Facebook" href="http://webfeeds.brookings.edu/_/28/65487230/BrookingsRSS/series/howweredoing"><img height="20" src="http://assets.feedblitz.com/i/fblike20.png" style="border:0;margin:0;padding:0;"></a>&#160;<a title="Share on Google+" href="http://webfeeds.brookings.edu/_/30/65487230/BrookingsRSS/series/howweredoing"><img height="20" src="http://assets.feedblitz.com/i/googleplus20.png" style="border:0;margin:0;padding:0;"></a>&#160;<a title="Pin it!" href="http://webfeeds.brookings.edu/_/29/65487230/BrookingsRSS/series/howweredoing,http%3a%2f%2fwww.brookings.edu%2f~%2fmedia%2fResearch%2fFiles%2fPapers%2f2012%2f8%2f26-recovery-renewal%2faughwdifig1.png%3fla%3den"><img height="20" src="http://assets.feedblitz.com/i/pinterest20.png" style="border:0;margin:0;padding:0;"></a>&#160;<a title="Tweet This" href="http://webfeeds.brookings.edu/_/24/65487230/BrookingsRSS/series/howweredoing"><img height="20" src="http://assets.feedblitz.com/i/twitter20.png" style="border:0;margin:0;padding:0;"></a>&#160;<a title="Subscribe by email" href="http://webfeeds.brookings.edu/_/19/65487230/BrookingsRSS/series/howweredoing"><img height="20" src="http://assets.feedblitz.com/i/email20.png" style="border:0;margin:0;padding:0;"></a>&#160;<a title="Subscribe by RSS" href="http://webfeeds.brookings.edu/_/20/65487230/BrookingsRSS/series/howweredoing"><img height="20" src="http://assets.feedblitz.com/i/rss20.png" style="border:0;margin:0;padding:0;"></a>&nbsp;<div style="padding:0.3em;">&nbsp;</div>&#160;</div>]]>
</description><pubDate>Sun, 26 Aug 2012 00:00:00 -0400</pubDate><dc:creator>Ted Gayer, Domenico Lombardi and Darrell M. West</dc:creator><content:encoded><![CDATA[<div>
	<img src="http://www.brookings.edu/~/media/research/images/o/oa%20oe/obama_romney_mugs001/obama_romney_mugs001_16x9.jpg?w=120" alt="Merchandise with the likenesses of U.S. President Barack Obama and Republican presidential candidate Mitt Romney are displayed for sale in a shop at Union Station in Washington (REUTERS/Jonathan Ernst)" border="0" />
<br><p><strong>Index #13: Last Five Quarters</strong> 
<br>
<br>
Will the 2012 presidential election follow historical trends and benchmarks, or are more complex dynamics at play this year? For the last "How We're Doing" Index ahead of Election Day, a team of scholars at the Brookings Institution looked at U.S. economic growth over the past five quarters, which has decelerated while the "fiscal cliff" and the European financial crisis loom. Historically, high unemployment and poor economic growth have doomed incumbents, yet President Obama's poll numbers remain relatively stable. Will the November election turn on the state of the national economy, or might relatively better economic conditions in key swing states be enough to carry Obama to reelection?<a href="#story">Continue reading below chart &raquo;</a> 
<br>
<br>
<img alt="" height="1973" width="600" src="http://www.brookings.edu/~/media/Research/Files/Papers/2012/8/26-recovery-renewal/aughwdifig1.png?la=en" />
<br>
<strong>Related Materials:</strong> 
<br>
<a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~%7E/link.aspx?_id=567D875738194EDA8E93502A0BFAE072&amp;_z=z">Past How We're Doing indexes &raquo;</a></p>
<p>
<a href="#sources">See data sources &raquo;</a> <a name="story"></a></p>
<p>
The U.S. economy continues to grow, but at a discouraging pace. U.S. real gross domestic product increased at an anemic 1.5 percent annual rate during the second quarter. While employment conditions strengthened earlier this year, new job growth has averaged about 100,000 positions per month since April. That's not enough to keep the unemployment rate from rising. The one bright spot has been the recent moderate improvement in the long-depressed housing market. The glut of houses is beginning to subside, leading to more housing construction and higher prices.</p><p>
The economic outlook is not expected to improve much, if at all, heading into the election. Growth is likely to remain below 2 percent in the third quarter, while the unemployment rate will stay above 8 percent. Concern is growing that Congress won't act to avert the "fiscal cliff" of tax increases and spending cuts set to take effect in January, which the Congressional Budget Office has predicted would lead the United States into a recession.
</p><p>
The crisis in the euro zone is worsening, and the threat to the global economy escalating. Government bond yields of Italy and Spain have peaked vis-à-vis those of Germany, fueling speculation about the economic and political sustainability of the euro as their common currency. Partly because of continued uncertainty in Europe, the International Monetary Fund has revised growth projections for China and India downward for this year and next. In turn, the outlook for U.S. exports to Europe and the emerging economies is deteriorating. Above all, the dampening effect of the European crisis is likely to delay investment and hiring decisions, further slowing the anemic recovery we have seen so far in the United States.
</p><p>
What does this all mean for the U.S. presidential election? 
</p><p>
It's important to remember that this is not a national campaign but 50 simultaneous state elections - and the outcome for 40 of them can be predicted with some accuracy. This year, election observers shouldn't obsess over national unemployment figures. The key is to watch economic and political indicators in the 10 states that are closely contested: Ohio, Florida, Pennsylvania, Nevada, Colorado, Iowa, Virginia, North Carolina, New Hampshire and Wisconsin.
</p><p>
Many of the swing states are doing better economically than the country as a whole. Ohio, for example, has a 7.2 percent unemployment rate, more than a point below the national average. And recent polls in several swing states show Obama running ahead of his national polling margins.
</p><p>
The biggest threat to Obama is a late surge for Mitt Romney, which could be precipitated by a collapse in the euro zone and further weakening of the domestic economy. In a bad economy, late-deciding voters often break for a credible challenger, so Obama's team needs to establish a large lead now, before any further economic weakening. Presidents who fail to set the tone early usually end up losing, as Presidents Jimmy Carter and George H.W. Bush did. 
</p><p>
So, yes, "it's the economy, stupid." But this year, it's an economy that stretches from local indicators in just 10 key states to the threat of national and perhaps global economic weakening. Obama needs to hope that the swing-state economies at least stay stable and that any bad news from abroad waits until after Nov. 6.
</p>
<p><a name="sources"></a></p>
<p>
</p>
<h2>Sources:</h2>
<p><em>GDP growth: 
<br>
</em>U.S. Bureau of Economic Analysis&nbsp;
<br>
<br>
<em>Unemployment rate: 
<br>
</em>U.S. Bureau of Labor Statistics
<br>
<em>
<br>
Percent unemployed for more than 26 weeks: 
<br>
</em>U.S. Bureau of Labor Statistics</p>
<p><em>Disposable personal income: 
<br>
</em>U.S. Bureau of Economic Analysis
<br>
<br>
<em>Consumer inflation rate: 
<br>
</em>U.S. Bureau of Labor Statistics<em></em></p>
<p><em>Dow Jones Industrial Average:</em>
<br>
Yahoo! Finance
<br>
<br>
<em>Consumer sentiment:
<br>
</em>Reuters/University of Michigan survey of consumers</p>
<p><em>Consumer spending:
<br>
</em>U.S. Bureau of Economic Analysis
<br>
<em>
<br>
Months' supply of new homes:
<br>
</em>U.S. Census Bureau</p>
<p><em>Interest rate on 30-year fixed mortgage:</em>
<br>
Freddie Mac</p>
<p><em>Metro area employment rates:</em>
<br>
U.S. Bureau of Labor Statistics</p>
<p><em>Metro area home price growth:</em>
<br>
Case-Shiller Index</p>
<p><em>U.S. combat fatalities, Afghanistan:</em>
<br>
icasualties.org</p>
<p><em>Civilian&nbsp;fatalities, Iraq:</em>
<br>
Brookings Iraq Index</p>
<p><em>Approval ratings of president and Congress:
<br>
</em>Gallup
<br>
<br>
<em>Percent of Americans "satisfied with the way things are":
<br>
</em>Gallup
<br>
<br>
<br>
</p>
<div>
		<h4>
			Authors
		</h4><ul>
			<li><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/experts/gayert?view=bio">Ted Gayer</a></li><li><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/experts/lombardid?view=bio">Domenico Lombardi</a></li><li><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/experts/westd?view=bio">Darrell M. West</a></li>
		</ul>
	</div><div>
		Publication: The Brookings Institution and The Washington Post
	</div><div>
		Image Source: &#169; Jonathan Ernst / Reuters
	</div>
</div><Img align="left" border="0" height="1" width="1" alt="" style="border:0;float:left;margin:0;padding:0" hspace="0" src="http://webfeeds.brookings.edu/~/i/65487230/0/brookingsrss/series/howweredoing">
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</content:encoded></item>
<item>
<feedburner:origLink>http://www.brookings.edu/research/papers/2012/02/12-recovery-renewal?rssid=How+Were+Doing</feedburner:origLink><guid isPermaLink="false">{F45E52B0-FAC0-4C50-8791-6BAB10D6B8CE}</guid><link>http://webfeeds.brookings.edu/~/65487231/0/brookingsrss/series/howweredoing~How-We%e2%80%99re-Doing-Amid-Policy-Gridlock</link><title>How We’re Doing Amid Policy Gridlock</title><description><![CDATA[<div>
	<img src="http://www.brookings.edu/~/media/research/images/b/ba%20be/bernanke010_original_16x9.jpg?w=120" alt="Ben Bernanke" border="0" /><br /><p><strong>Index #11: Last Five Quarters</strong> <br>
<br>
Anxiety about a double-dip recession has dissipated with the arrival of better economic indicators, but the economy's overall weakness - and what to do about it - is likely to dominate the news this week with the release of President Obama's budget proposal, just as it monopolized his State of the Union address and the 19 Republican presidential debates. In the 11th "How We're Doing Index," a team of scholars at the Brookings Institution looks at the past five quarters to chart the recent improvements - and determine the likelihood of policy responses ahead of the election. A key factor in November is going to be whether voters focus on the end result of high unemployment and large budget deficits, and how they evaluate the competing theories of why the economy has not done well. But for at least the next few months, non-political actors - particularly the Fed - will be the primary sources of changes in economic policy. <a href="#story">Continue reading below chart &raquo;</a> <br>
<br>
<br>
<strong>Related Materials:</strong> <br>
<a href="%7E/link.aspx?_id=567D875738194EDA8E93502A0BFAE072&amp;_z=z">Past How We're Doing indexes &raquo;</a><br>
</p><p><img alt="" src="~/media/Research/Images/F/FA FE/febhwdifinal.gif"><br>
<a href="#sources">See data sources &raquo;</a> <a name="story"></a>
<p>In the fourth quarter, real gross domestic product expanded at its fastest rate since mid-2010, and employment conditions strengthened. Consumer spending increased at a solid clip and the housing sector showed some faint signs of life, with a decrease in the glut of houses that are keeping prices down. Builder confidence rose and climbed further in more recent weeks to its highest level since June 2007, well before the recession began. </p>
<p>Notwithstanding these improvements, the unemployment rate has stayed above 8 percent for three years. Long-term unemployment has decreased but remains at a near-historic high. There are dangers beyond the hardships this imposes on those individuals directly affected. Skills erode as workers spend time unemployed, making it harder for them to find new jobs.</p>
<p>Meanwhile, policymakers in Washington have limited options to support the economy. Between the political gridlock and the coming elections, it is very unlikely significant legislation will be passed before November. Accordingly, the administration has focused on executive action, especially regarding housing. Last fall Obama officials announced a ramped-up effort to allow more "underwater" borrowers to refinance their mortgages at lower rates. More recently, the administration's foreclosure prevention program was expanded: Eligibility was broadened and incentive payments to banks that reduce the principal balance on loans to troubled borrowers were increased. Additional tools for foreclosure prevention - such as forgiveness of mortgage debt - are part of a settlement announced Thursday between state and federal officials and the largest U.S. banks involved with servicing mortgages whose borrowers subsequently defaulted.</p>
<p>The Federal Reserve could take steps to further boost demand. Fed leaders indicated in January that they expect to keep the federal funds rate - its traditional policy tool - close to zero until late 2014. Given the Fed's stated expectation that the unemployment rate will decline only gradually, combined with its expectation that inflation will remain at or below the desired target, the Fed could soon attempt to stimulate the economy through unconventional measures such as further purchases of mortgage-backed securities or Treasury bonds. This policy is designed to ease financial conditions in ways that stimulate investment, exports and consumer spending.</p>
<p>But these complicated issues barely register in the dynamic of the 2012 election. In the Republican primaries, a surprising debate has emerged about the merits of capitalism - a narrative that temporarily eclipsed the discussion of whether President Obama's economic policies have made the economy better or worse. Given the volatility of the Republican nominating process so far, several political surprises are likely along the road to Election Day.</p>
<strong>See also:</strong> <br>
&raquo; <a href="/metro/stateofmetroamerica.aspx">State of Metropolitan America</a>&mdash;portraying the demographic and social trends that shape our nation's metropolitan areas <br>
&raquo; <a href="/governance/govwatch.aspx">GovWatch</a>&mdash;tracking the progress and performance of our institutions in economic recovery <br>
&raquo; <a href="/metro/MetroMonitor.aspx">MetroMonitor</a>&mdash;a barometer of the health of America&rsquo;s 100 largest metropolitan economies<br>
<br>
<p><a name="sources"></a></p>
<h2>Sources:</h2>
<p><em>GDP growth: <br>
</em>U.S. Bureau of Economic Analysis&nbsp;<br>
<br>
<em>Unemployment rate: <br>
</em>U.S. Bureau of Labor Statistics<br>
<em><br>
Percent unemployed for more than 26 weeks: <br>
</em>U.S. Bureau of Labor Statistics</p>
<p><em>Disposable personal income: <br>
</em>U.S. Bureau of Economic Analysis<br>
<br>
<em>Consumer inflation rate: <br>
</em>U.S. Bureau of Labor Statistics<em></em></p>
<p><em>Dow Jones Industrial Average:</em><br>
Yahoo! Finance<br>
<br>
<em>Consumer sentiment:<br>
</em>Reuters/University of Michigan survey of consumers</p>
<p><em>Home price index:</em><br>
CoreLogic<br>
<em><br>
Builder confidence index:<br>
</em>National Association of Home Builders<br>
<br>
<em>HAMP modifications:<br>
</em>U.S. Treasury Department<br>
<em><br>
Consumer spending:<br>
</em>U.S. Bureau of Economic Analysis<br>
<em><br>
Months' supply of new homes:<br>
</em>U.S. Census Bureau</p>
<p><em>Interest rate on 30-year fixed mortgage:</em><br>
Freddie Mac</p>
<p><em>Metro area employment rates:</em><br>
U.S. Bureau of Labor Statistics</p>
<p><em>Metro area home price growth:</em><br>
Case-Shiller Index</p>
<p><em>U.S. combat fatalities, Iraq and Afghanistan:</em><br>
icasualties.org</p>
<em>Approval ratings of president and Congress:<br>
</em>Gallup<br>
<br>
<em>Percent of Americans "satisfied with the way things are":<br>
</em>Gallup<br>
<br>
<br>
<p>&nbsp;</p>
</p><div>
		<h4>
			Authors
		</h4><ul>
			<li><a href="http://www.brookings.edu/experts/dynank?view=bio">Karen Dynan</a></li><li><a href="http://www.brookings.edu/experts/gayert?view=bio">Ted Gayer</a></li><li><a href="http://www.brookings.edu/experts/westd?view=bio">Darrell M. West</a></li>
		</ul>
	</div><div>
		Publication: The Brookings Institution and The Washington Post
	</div><div>
		Image Source: © Jason Reed / Reuters
	</div>
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</description><pubDate>Sun, 12 Feb 2012 00:00:00 -0500</pubDate><dc:creator>Karen Dynan, Ted Gayer and Darrell M. West</dc:creator><content:encoded><![CDATA[<div>
	<img src="http://www.brookings.edu/~/media/research/images/b/ba%20be/bernanke010_original_16x9.jpg?w=120" alt="Ben Bernanke" border="0" />
<br><p><strong>Index #11: Last Five Quarters</strong> 
<br>
<br>
Anxiety about a double-dip recession has dissipated with the arrival of better economic indicators, but the economy's overall weakness - and what to do about it - is likely to dominate the news this week with the release of President Obama's budget proposal, just as it monopolized his State of the Union address and the 19 Republican presidential debates. In the 11th "How We're Doing Index," a team of scholars at the Brookings Institution looks at the past five quarters to chart the recent improvements - and determine the likelihood of policy responses ahead of the election. A key factor in November is going to be whether voters focus on the end result of high unemployment and large budget deficits, and how they evaluate the competing theories of why the economy has not done well. But for at least the next few months, non-political actors - particularly the Fed - will be the primary sources of changes in economic policy. <a href="#story">Continue reading below chart &raquo;</a> 
<br>
<br>
<br>
<strong>Related Materials:</strong> 
<br>
<a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~%7E/link.aspx?_id=567D875738194EDA8E93502A0BFAE072&amp;_z=z">Past How We're Doing indexes &raquo;</a>
<br>
</p><p><img alt="" src="~/media/Research/Images/F/FA FE/febhwdifinal.gif">
<br>
<a href="#sources">See data sources &raquo;</a> <a name="story"></a>
<p>In the fourth quarter, real gross domestic product expanded at its fastest rate since mid-2010, and employment conditions strengthened. Consumer spending increased at a solid clip and the housing sector showed some faint signs of life, with a decrease in the glut of houses that are keeping prices down. Builder confidence rose and climbed further in more recent weeks to its highest level since June 2007, well before the recession began. </p>
<p>Notwithstanding these improvements, the unemployment rate has stayed above 8 percent for three years. Long-term unemployment has decreased but remains at a near-historic high. There are dangers beyond the hardships this imposes on those individuals directly affected. Skills erode as workers spend time unemployed, making it harder for them to find new jobs.</p>
<p>Meanwhile, policymakers in Washington have limited options to support the economy. Between the political gridlock and the coming elections, it is very unlikely significant legislation will be passed before November. Accordingly, the administration has focused on executive action, especially regarding housing. Last fall Obama officials announced a ramped-up effort to allow more "underwater" borrowers to refinance their mortgages at lower rates. More recently, the administration's foreclosure prevention program was expanded: Eligibility was broadened and incentive payments to banks that reduce the principal balance on loans to troubled borrowers were increased. Additional tools for foreclosure prevention - such as forgiveness of mortgage debt - are part of a settlement announced Thursday between state and federal officials and the largest U.S. banks involved with servicing mortgages whose borrowers subsequently defaulted.</p>
<p>The Federal Reserve could take steps to further boost demand. Fed leaders indicated in January that they expect to keep the federal funds rate - its traditional policy tool - close to zero until late 2014. Given the Fed's stated expectation that the unemployment rate will decline only gradually, combined with its expectation that inflation will remain at or below the desired target, the Fed could soon attempt to stimulate the economy through unconventional measures such as further purchases of mortgage-backed securities or Treasury bonds. This policy is designed to ease financial conditions in ways that stimulate investment, exports and consumer spending.</p>
<p>But these complicated issues barely register in the dynamic of the 2012 election. In the Republican primaries, a surprising debate has emerged about the merits of capitalism - a narrative that temporarily eclipsed the discussion of whether President Obama's economic policies have made the economy better or worse. Given the volatility of the Republican nominating process so far, several political surprises are likely along the road to Election Day.</p>
<strong>See also:</strong> 
<br>
&raquo; <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/metro/stateofmetroamerica.aspx">State of Metropolitan America</a>&mdash;portraying the demographic and social trends that shape our nation's metropolitan areas 
<br>
&raquo; <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/governance/govwatch.aspx">GovWatch</a>&mdash;tracking the progress and performance of our institutions in economic recovery 
<br>
&raquo; <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/metro/MetroMonitor.aspx">MetroMonitor</a>&mdash;a barometer of the health of America&rsquo;s 100 largest metropolitan economies
<br>
<br>
<p><a name="sources"></a></p>
<h2>Sources:</h2>
<p><em>GDP growth: 
<br>
</em>U.S. Bureau of Economic Analysis&nbsp;
<br>
<br>
<em>Unemployment rate: 
<br>
</em>U.S. Bureau of Labor Statistics
<br>
<em>
<br>
Percent unemployed for more than 26 weeks: 
<br>
</em>U.S. Bureau of Labor Statistics</p>
<p><em>Disposable personal income: 
<br>
</em>U.S. Bureau of Economic Analysis
<br>
<br>
<em>Consumer inflation rate: 
<br>
</em>U.S. Bureau of Labor Statistics<em></em></p>
<p><em>Dow Jones Industrial Average:</em>
<br>
Yahoo! Finance
<br>
<br>
<em>Consumer sentiment:
<br>
</em>Reuters/University of Michigan survey of consumers</p>
<p><em>Home price index:</em>
<br>
CoreLogic
<br>
<em>
<br>
Builder confidence index:
<br>
</em>National Association of Home Builders
<br>
<br>
<em>HAMP modifications:
<br>
</em>U.S. Treasury Department
<br>
<em>
<br>
Consumer spending:
<br>
</em>U.S. Bureau of Economic Analysis
<br>
<em>
<br>
Months' supply of new homes:
<br>
</em>U.S. Census Bureau</p>
<p><em>Interest rate on 30-year fixed mortgage:</em>
<br>
Freddie Mac</p>
<p><em>Metro area employment rates:</em>
<br>
U.S. Bureau of Labor Statistics</p>
<p><em>Metro area home price growth:</em>
<br>
Case-Shiller Index</p>
<p><em>U.S. combat fatalities, Iraq and Afghanistan:</em>
<br>
icasualties.org</p>
<em>Approval ratings of president and Congress:
<br>
</em>Gallup
<br>
<br>
<em>Percent of Americans "satisfied with the way things are":
<br>
</em>Gallup
<br>
<br>
<br>
<p>&nbsp;</p>
</p><div>
		<h4>
			Authors
		</h4><ul>
			<li><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/experts/dynank?view=bio">Karen Dynan</a></li><li><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/experts/gayert?view=bio">Ted Gayer</a></li><li><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/experts/westd?view=bio">Darrell M. West</a></li>
		</ul>
	</div><div>
		Publication: The Brookings Institution and The Washington Post
	</div><div>
		Image Source: © Jason Reed / Reuters
	</div>
</div><Img align="left" border="0" height="1" width="1" alt="" style="border:0;float:left;margin:0;padding:0" hspace="0" src="http://webfeeds.brookings.edu/~/i/65487231/0/brookingsrss/series/howweredoing">
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</content:encoded></item>
<item>
<feedburner:origLink>http://www.brookings.edu/research/papers/2011/11/13-recovery-renewal?rssid=How+Were+Doing</feedburner:origLink><guid isPermaLink="false">{5952DFDF-FD0C-4631-8566-D3916FABFEEC}</guid><link>http://webfeeds.brookings.edu/~/65487232/0/brookingsrss/series/howweredoing~How-We%e2%80%99re-Doing-as-Europe-Falters</link><title>How We’re Doing as Europe Falters</title><description><![CDATA[<div>
	<img src="http://www.brookings.edu/~/media/research/images/o/ou%20oz/ows_nyc002_16x9.jpg?w=120" alt="" border="0" /><br /><p><strong>Index #10: Last Five Quarters</strong> <br>
<br>
Concerns about the economy have escalated since mid-summer, with consumer confidence plummeting, approval ratings for Congress and the president sagging, and dramatic protests arising in New York and other major cities. In the tenth "How We're Doing" Index, a team of scholars at the Brookings Institution has looked at the past five quarters to assess the trends behind this public discontent. Continued weakness in the U.S. economy and the global concerns that preoccupied the recent Group of 20 meeting have had effects at the national and local levels. <a href="#story">Continue reading below chart &raquo;</a> <br>
<br>
<br>
<strong>Related Materials:</strong> <br>
<b><a href="http://www.brookings.edu/multimedia/video/2011/1111_index_lombardi.aspx">Video: Domenico Lombardi discusses the new index &raquo;</a></b><br>
<a href="%7E/link.aspx?_id=567D875738194EDA8E93502A0BFAE072&amp;_z=z">Past How We're Doing indexes &raquo;</a><br>
</p><p><img alt="" src="~/media/Research/Images/I/IK IO/indexchart2.jpg"><br>
<a href="#sources">See data sources &raquo;</a> <a name="story"></a>
<p>U.S. gross domestic product rose at a solid 2.5 percent in the third quarter, driven by gains in consumer spending, but the national unemployment rate remained at a dismal 9.1 percent. Disposable personal income fell, and consumer confidence declined to its lowest level since early 2009. According to Gallup polling, the percentage of Americans who say they are satisfied with the way things are sunk to a two-year low of 13 percent.</p>
<p>In contrast, emerging economies have been resilient, making international trade - especially with China - a flash point in Congress and the Republican presidential debates. The Senate recently passed legislation that could impose higher tariffs on some Chinese products, and China announced new commitments on currency flexibility at the G-20 meeting. A meaningful appreciation of the yuan could, in fact, facilitate trade rebalancing between China and the United States. So far, strong growth in China and India has driven the International Monetary Fund's projection of a still-high rate of growth (4 percent) for the global economy this year. </p>
<p>In Europe, the picture is more complicated. The market turmoil that started as a fiscal and banking crisis in a few peripheral countries now threatens the continent's larger economies. A new unity government in Greece will be tasked with implementing the provisions of a rescue package that will impose unpopular austerity measures, while Italy is forming an emergency cabinet to carry out, under IMF monitoring, tough policy measures to stabilize market pressure. It remains unclear whether these steps will be enough to reverse the crisis and prevent harmful ripple effects in the United States and elsewhere. It was made clear in Cannes that the Europeans still need to clarify important aspects of their strategy. </p>
<p>One potential impact on the U.S. economy as Europe's growth falters is declining exports. Thanks in part to a depreciating dollar, U.S. trade deficits with Europe, Asia and Latin America have expanded in the past year. Local economic trends reflect the diverging fortunes of our international trading partners. In Indianapolis, a hub for U.S. pharmaceutical exports to Europe, the industry has shed a significant number of jobs over the past year. In Allentown, Pa., by contrast, jobs in basic chemical manufacturing are growing again thanks to strong demand from Latin America. In Silicon Valley, rising computer and electronic exports to Asia fueled that industry's 7 percent job growth in the third quarter.</p>
<p>These national and local dynamics should highlight priorities for federal, state and local policymakers. National leaders still need to reach a budget accord and revitalize the current account rebalancing agenda agreed upon by the G-20 by stepping up pressure on China to increase its net imports and follow through on its commitments. They also need to continue to press the Europeans to address a crisis that may further slow badly needed investment and job creation. </p>
<p>Local officials, meanwhile, should collaborate with business and civic leaders to enhance export-related services and infrastructure, to help their firms better connect to faster-growing foreign markets. At the moment, the United States must look abroad to sustain and accelerate its still-fragile economic recovery. </p>
<strong>See also:</strong> <br>
&raquo; <a href="/metro/stateofmetroamerica.aspx">State of Metropolitan America</a>&mdash;portraying the demographic and social trends that shape our nation's metropolitan areas <br>
&raquo; <a href="/governance/govwatch.aspx">GovWatch</a>&mdash;tracking the progress and performance of our institutions in economic recovery <br>
&raquo; <a href="/metro/MetroMonitor.aspx">MetroMonitor</a>&mdash;a barometer of the health of America&rsquo;s 100 largest metropolitan economies<br>
<br>
<p><a name="sources"></a></p>
<h2>Sources:</h2>
<p><em>GDP growth: <br>
</em>U.S. Bureau of Economic Analysis&nbsp;<br>
<br>
<em>Unemployment rate: <br>
</em>U.S. Bureau of Labor Statistics</p>
<p><em>Disposable personal income: <br>
</em>U.S. Bureau of Economic Analysis<br>
<br>
<em>Consumer inflation rate: <br>
</em>U.S. Bureau of Labor Statistics<em></em></p>
<p><em>Dow Jones Industrial Average:</em><br>
Yahoo! Finance</p>
<p><em>Average price of oil:</em><br>
Energy Information Administration<br>
<br>
<em>Consumer sentiment:<br>
</em>Reuters/University of Michigan survey of consumers</p>
<p><em>Small business optimism:</em><br>
NFIB Small Business Optimism Index</p>
<p><em>Consumer spending:<br>
</em>U.S. Bureau of Economic Analysis<br>
<em><br>
Months' supply of new homes:<br>
</em>U.S. Census Bureau</p>
<p><em>Interest rate on 30-year fixed mortgage:</em><br>
Freddie Mac</p>
<p><em>Metro area employment rates:</em><br>
U.S. Bureau of Labor Statistics</p>
<p><em>Metro area employment by industry:</em><br>
Brookings analysis of Moody's Analytics,U.S. Bureau of Economic Analysis, and U.S. International Trade Statistics data. <br>
<br>
<em>Metro area home price growth:</em><br>
Case-Shiller Index</p>
<p><em>International trade data:</em><br>
U.S. International Trade Commission<br>
<br>
<em>U.S. combat fatalities, Iraq and Afghanistan:</em><br>
icasualties.org</p>
<em>Approval ratings of president and Congress:<br>
</em>Gallup<br>
<br>
<em>Percent of Americans "satisfied with the way things are":<br>
</em>Gallup<br>
<br>
<br>
<p>&nbsp;</p>
</p><div>
		<h4>
			Authors
		</h4><ul>
			<li><a href="http://www.brookings.edu/experts/berubea?view=bio">Alan Berube</a></li><li><a href="http://www.brookings.edu/experts/lombardid?view=bio">Domenico Lombardi</a></li>
		</ul>
	</div><div>
		Publication: The Brookings Institution and The Washington Post
	</div><div>
		Image Source: Â© Lucas Jackson / Reuters
	</div>
</div><div style="clear:both;padding-top:0.2em;"><a title="Like on Facebook" href="http://webfeeds.brookings.edu/_/28/65487232/BrookingsRSS/series/howweredoing"><img height="20" src="http://assets.feedblitz.com/i/fblike20.png" style="border:0;margin:0;padding:0;"></a>&#160;<a title="Share on Google+" href="http://webfeeds.brookings.edu/_/30/65487232/BrookingsRSS/series/howweredoing"><img height="20" src="http://assets.feedblitz.com/i/googleplus20.png" style="border:0;margin:0;padding:0;"></a>&#160;<a title="Pin it!" href="http://webfeeds.brookings.edu/_/29/65487232/BrookingsRSS/series/howweredoing,http%3a%2f%2fwww.brookings.edu%2f~%2fmedia%2fresearch%2fimages%2fo%2fou%2520oz%2fows_nyc002_16x9.jpg%3fw%3d120"><img height="20" src="http://assets.feedblitz.com/i/pinterest20.png" style="border:0;margin:0;padding:0;"></a>&#160;<a title="Tweet This" href="http://webfeeds.brookings.edu/_/24/65487232/BrookingsRSS/series/howweredoing"><img height="20" src="http://assets.feedblitz.com/i/twitter20.png" style="border:0;margin:0;padding:0;"></a>&#160;<a title="Subscribe by email" href="http://webfeeds.brookings.edu/_/19/65487232/BrookingsRSS/series/howweredoing"><img height="20" src="http://assets.feedblitz.com/i/email20.png" style="border:0;margin:0;padding:0;"></a>&#160;<a title="Subscribe by RSS" href="http://webfeeds.brookings.edu/_/20/65487232/BrookingsRSS/series/howweredoing"><img height="20" src="http://assets.feedblitz.com/i/rss20.png" style="border:0;margin:0;padding:0;"></a>&nbsp;<div style="padding:0.3em;">&nbsp;</div>&#160;</div>]]>
</description><pubDate>Sun, 13 Nov 2011 00:00:00 -0500</pubDate><dc:creator>Alan Berube and Domenico Lombardi</dc:creator><content:encoded><![CDATA[<div>
	<img src="http://www.brookings.edu/~/media/research/images/o/ou%20oz/ows_nyc002_16x9.jpg?w=120" alt="" border="0" />
<br><p><strong>Index #10: Last Five Quarters</strong> 
<br>
<br>
Concerns about the economy have escalated since mid-summer, with consumer confidence plummeting, approval ratings for Congress and the president sagging, and dramatic protests arising in New York and other major cities. In the tenth "How We're Doing" Index, a team of scholars at the Brookings Institution has looked at the past five quarters to assess the trends behind this public discontent. Continued weakness in the U.S. economy and the global concerns that preoccupied the recent Group of 20 meeting have had effects at the national and local levels. <a href="#story">Continue reading below chart &raquo;</a> 
<br>
<br>
<br>
<strong>Related Materials:</strong> 
<br>
<b><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/multimedia/video/2011/1111_index_lombardi.aspx">Video: Domenico Lombardi discusses the new index &raquo;</a></b>
<br>
<a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~%7E/link.aspx?_id=567D875738194EDA8E93502A0BFAE072&amp;_z=z">Past How We're Doing indexes &raquo;</a>
<br>
</p><p><img alt="" src="~/media/Research/Images/I/IK IO/indexchart2.jpg">
<br>
<a href="#sources">See data sources &raquo;</a> <a name="story"></a>
<p>U.S. gross domestic product rose at a solid 2.5 percent in the third quarter, driven by gains in consumer spending, but the national unemployment rate remained at a dismal 9.1 percent. Disposable personal income fell, and consumer confidence declined to its lowest level since early 2009. According to Gallup polling, the percentage of Americans who say they are satisfied with the way things are sunk to a two-year low of 13 percent.</p>
<p>In contrast, emerging economies have been resilient, making international trade - especially with China - a flash point in Congress and the Republican presidential debates. The Senate recently passed legislation that could impose higher tariffs on some Chinese products, and China announced new commitments on currency flexibility at the G-20 meeting. A meaningful appreciation of the yuan could, in fact, facilitate trade rebalancing between China and the United States. So far, strong growth in China and India has driven the International Monetary Fund's projection of a still-high rate of growth (4 percent) for the global economy this year. </p>
<p>In Europe, the picture is more complicated. The market turmoil that started as a fiscal and banking crisis in a few peripheral countries now threatens the continent's larger economies. A new unity government in Greece will be tasked with implementing the provisions of a rescue package that will impose unpopular austerity measures, while Italy is forming an emergency cabinet to carry out, under IMF monitoring, tough policy measures to stabilize market pressure. It remains unclear whether these steps will be enough to reverse the crisis and prevent harmful ripple effects in the United States and elsewhere. It was made clear in Cannes that the Europeans still need to clarify important aspects of their strategy. </p>
<p>One potential impact on the U.S. economy as Europe's growth falters is declining exports. Thanks in part to a depreciating dollar, U.S. trade deficits with Europe, Asia and Latin America have expanded in the past year. Local economic trends reflect the diverging fortunes of our international trading partners. In Indianapolis, a hub for U.S. pharmaceutical exports to Europe, the industry has shed a significant number of jobs over the past year. In Allentown, Pa., by contrast, jobs in basic chemical manufacturing are growing again thanks to strong demand from Latin America. In Silicon Valley, rising computer and electronic exports to Asia fueled that industry's 7 percent job growth in the third quarter.</p>
<p>These national and local dynamics should highlight priorities for federal, state and local policymakers. National leaders still need to reach a budget accord and revitalize the current account rebalancing agenda agreed upon by the G-20 by stepping up pressure on China to increase its net imports and follow through on its commitments. They also need to continue to press the Europeans to address a crisis that may further slow badly needed investment and job creation. </p>
<p>Local officials, meanwhile, should collaborate with business and civic leaders to enhance export-related services and infrastructure, to help their firms better connect to faster-growing foreign markets. At the moment, the United States must look abroad to sustain and accelerate its still-fragile economic recovery. </p>
<strong>See also:</strong> 
<br>
&raquo; <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/metro/stateofmetroamerica.aspx">State of Metropolitan America</a>&mdash;portraying the demographic and social trends that shape our nation's metropolitan areas 
<br>
&raquo; <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/governance/govwatch.aspx">GovWatch</a>&mdash;tracking the progress and performance of our institutions in economic recovery 
<br>
&raquo; <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/metro/MetroMonitor.aspx">MetroMonitor</a>&mdash;a barometer of the health of America&rsquo;s 100 largest metropolitan economies
<br>
<br>
<p><a name="sources"></a></p>
<h2>Sources:</h2>
<p><em>GDP growth: 
<br>
</em>U.S. Bureau of Economic Analysis&nbsp;
<br>
<br>
<em>Unemployment rate: 
<br>
</em>U.S. Bureau of Labor Statistics</p>
<p><em>Disposable personal income: 
<br>
</em>U.S. Bureau of Economic Analysis
<br>
<br>
<em>Consumer inflation rate: 
<br>
</em>U.S. Bureau of Labor Statistics<em></em></p>
<p><em>Dow Jones Industrial Average:</em>
<br>
Yahoo! Finance</p>
<p><em>Average price of oil:</em>
<br>
Energy Information Administration
<br>
<br>
<em>Consumer sentiment:
<br>
</em>Reuters/University of Michigan survey of consumers</p>
<p><em>Small business optimism:</em>
<br>
NFIB Small Business Optimism Index</p>
<p><em>Consumer spending:
<br>
</em>U.S. Bureau of Economic Analysis
<br>
<em>
<br>
Months' supply of new homes:
<br>
</em>U.S. Census Bureau</p>
<p><em>Interest rate on 30-year fixed mortgage:</em>
<br>
Freddie Mac</p>
<p><em>Metro area employment rates:</em>
<br>
U.S. Bureau of Labor Statistics</p>
<p><em>Metro area employment by industry:</em>
<br>
Brookings analysis of Moody's Analytics,U.S. Bureau of Economic Analysis, and U.S. International Trade Statistics data. 
<br>
<br>
<em>Metro area home price growth:</em>
<br>
Case-Shiller Index</p>
<p><em>International trade data:</em>
<br>
U.S. International Trade Commission
<br>
<br>
<em>U.S. combat fatalities, Iraq and Afghanistan:</em>
<br>
icasualties.org</p>
<em>Approval ratings of president and Congress:
<br>
</em>Gallup
<br>
<br>
<em>Percent of Americans "satisfied with the way things are":
<br>
</em>Gallup
<br>
<br>
<br>
<p>&nbsp;</p>
</p><div>
		<h4>
			Authors
		</h4><ul>
			<li><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/experts/berubea?view=bio">Alan Berube</a></li><li><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/experts/lombardid?view=bio">Domenico Lombardi</a></li>
		</ul>
	</div><div>
		Publication: The Brookings Institution and The Washington Post
	</div><div>
		Image Source: Â© Lucas Jackson / Reuters
	</div>
</div><Img align="left" border="0" height="1" width="1" alt="" style="border:0;float:left;margin:0;padding:0" hspace="0" src="http://webfeeds.brookings.edu/~/i/65487232/0/brookingsrss/series/howweredoing">
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</content:encoded></item>
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<feedburner:origLink>http://www.brookings.edu/research/papers/2011/08/07-recovery-renewal?rssid=How+Were+Doing</feedburner:origLink><guid isPermaLink="false">{069C0C36-43AF-49F2-B34F-FEC40BF0353A}</guid><link>http://webfeeds.brookings.edu/~/65487233/0/brookingsrss/series/howweredoing~How-We%e2%80%99re-Doing-as-the-Economy-Falters</link><title>How We’re Doing as the Economy Falters</title><description><![CDATA[<div>
	<img src="http://www.brookings.edu/~/media/research/images/c/ck%20co/clip_coupons001_16x9.jpg?w=120" alt="" border="0" /><br /><p><strong>Index #9: Last Five Quarters</strong> <br><br> As the dust settles from the partisan fight over the debt ceiling, the recovery continues to falter, the labor market remains weak, the stock market is volatile and the public mood is increasingly pessimistic. In the ninth "How We're Doing" Index, a team of scholars at the Brookings Institution has looked at the past five quarters to assess the state of our political and economic conditions. Facing a real risk of recession, and with the Iowa caucuses only six months away, the impact on the 2012 elections of macroeconomic performance and three military conflicts loom large. <a href="#story">Continue reading below chart »</a><br><br><b>Related Materials:</b> <br><a href="http://www.brookings.edu/series/how-were-doing" name="&lid={567D8757-3819-4EDA-8E93-502A0BFAE072}&lpos=loc:body">Past How We're Doing indexes »<br></a></p><p><img width="600" height="1226" alt="" src="~/media/Research/Images/A/AU AZ/AugustHWDI.JPG"><br>
<a href="#sources">See data sources &raquo;</a> <a name="story"></a>
<p>Real growth in gross domestic product was barely above 1 percent in the second quarter of 2011, and first quarter GDP was just 0.4 percent. This anemic pace is not enough to significantly dig out of the loss of nearly 9 million jobs from the recent recession. After peaking at 10.1 percent in October 2009, the unemployment rate remains stubbornly high, at more than 9 percent, and average duration of unemployment also remains persistently high. </p>
<p>The housing sector has often led the way out of past downturns, but home prices have slipped further nationwide over the past year, with metropolitan areas in Nevada, Florida, and California remaining among the hardest hit. Consumers are pessimistic, with confidence in July slumping to its lowest level since early 2009, and the National Federation of Independent Business's "optimism index" for small businesses is down again after two quarters of small increases.</p>
<p>The foreign policy situation remains difficult as well. U.S. combat fatalities rose in both Iraq and Afghanistan during the second quarter, although the situation has since improved.</p>
<p>After lengthy, tense negotiations between Congress and the White House over raising the debt ceiling and reducing the federal budget deficit, public confidence in government is low. Barely one in five voters says he or she is satisfied with the way things are going in the United States, according to Gallup polling. Neither party generates much confidence, although twice as many voters approve of the job being done by President Obama compared to Congress. Republicans and Democrats remain far apart in their preferred policies, which makes the task of practical problem solving very challenging for elected officials.</p>
<p>Against this backdrop of weak performance, the 2012 elections are taking shape. In past elections, Democrats have often sought to emphasize domestic economic circumstances, while Republican candidates emphasized foreign policy and national security. In the upcoming cycle, though, we may see the parties switching roles as the GOP highlights high unemployment and weak economic growth, and the president campaigns on his policy of scaling back involvement in unpopular wars in Iraq and Afghanistan.</p>
<p>So far, there are nine Republicans likely to seek to replace Obama, but the president does not have opposition in the Democratic nominating process. Historically, presidents who have not faced a primary challenge are more likely to win reelection. That was the case with Ronald Reagan, Bill Clinton and George W. Bush, but the unemployment rate was lower when each of them sought a second term. No president since Franklin Roosevelt has been re-elected -- or even run for re-election -- with unemployment over 8 percent.</p>
<strong>See also:</strong> <br>
&raquo; <a href="/metro/stateofmetroamerica.aspx">State of Metropolitan America</a>&mdash;portraying the demographic and social trends that shape our nation's metropolitan areas <br>
&raquo; <a href="/governance/govwatch.aspx">GovWatch</a>&mdash;tracking the progress and performance of our institutions in economic recovery <br>
&raquo; <a href="/metro/MetroMonitor.aspx">MetroMonitor</a>&mdash;a barometer of the health of America&rsquo;s 100 largest metropolitan economies<br>
<br>
<p><a name="sources"></a></p>
<h2>Sources:</h2>
<p><em>GDP growth: <br>
</em>U.S. Bureau of Economic Analysis&nbsp;<br>
<br>
<em>Unemployment rate: <br>
</em>U.S. Bureau of Labor Statistics</p>
<p><em>Average weeks unemployed: <br>
</em>U.S. Bureau of Labor Statistics</p>
<p><em>Disposable personal income: <br>
</em>U.S. Bureau of Economic Analysis<br>
<br>
<em>Consumer inflation rate: <br>
</em>U.S. Bureau of Labor Statistics<em></em></p>
<p><em>Dow Jones Industrial Average:</em><br>
Yahoo! Finance</p>
<p><em>Average price of oil:</em><br>
Energy Information Administration<br>
<br>
<em>Consumer sentiment:<br>
</em>Reuters/University of Michigan survey of consumers</p>
<p><em>Small business optimism:</em><br>
NFIB Small Business Optimism Index</p>
<p><em>Consumer spending:<br>
</em>U.S. Bureau of Economic Analysis<br>
<em><br>
Months' supply of new homes:<br>
</em>U.S. Census Bureau</p>
<p><em>Interest rate on 30-year fixed mortgage:</em><br>
Freddie Mac</p>
<p><em>Metro area employment rates:</em><br>
U.S. Bureau of Labor Statistics<br>
<br>
<em>Metro area home price growth:</em><br>
Case-Shiller Index<br>
<br>
<em>U.S. combat fatalities, Iraq and Afghanistan:</em><br>
icasualties.org</p>
<em>Approval ratings of president and Congress:<br>
</em>Gallup<br>
<br>
<em>Percent of Americans "satisfied with the way things are":<br>
</em>Gallup<br>
<br>
<br>
<p>&nbsp;</p>
</p><div>
		<h4>
			Authors
		</h4><ul>
			<li><a href="http://www.brookings.edu/experts/gayert?view=bio">Ted Gayer</a></li><li><a href="http://www.brookings.edu/experts/westd?view=bio">Darrell M. West</a></li>
		</ul>
	</div><div>
		Publication: The Brookings Institution and The Washington Post
	</div><div>
		Image Source: Â© Jessica Rinaldi / Reuters
	</div>
</div><div style="clear:both;padding-top:0.2em;"><a title="Like on Facebook" href="http://webfeeds.brookings.edu/_/28/65487233/BrookingsRSS/series/howweredoing"><img height="20" src="http://assets.feedblitz.com/i/fblike20.png" style="border:0;margin:0;padding:0;"></a>&#160;<a title="Share on Google+" href="http://webfeeds.brookings.edu/_/30/65487233/BrookingsRSS/series/howweredoing"><img height="20" src="http://assets.feedblitz.com/i/googleplus20.png" style="border:0;margin:0;padding:0;"></a>&#160;<a title="Pin it!" href="http://webfeeds.brookings.edu/_/29/65487233/BrookingsRSS/series/howweredoing,~%2fmedia%2fResearch%2fImages%2fA%2fAU+AZ%2fAugustHWDI.JPG"><img height="20" src="http://assets.feedblitz.com/i/pinterest20.png" style="border:0;margin:0;padding:0;"></a>&#160;<a title="Tweet This" href="http://webfeeds.brookings.edu/_/24/65487233/BrookingsRSS/series/howweredoing"><img height="20" src="http://assets.feedblitz.com/i/twitter20.png" style="border:0;margin:0;padding:0;"></a>&#160;<a title="Subscribe by email" href="http://webfeeds.brookings.edu/_/19/65487233/BrookingsRSS/series/howweredoing"><img height="20" src="http://assets.feedblitz.com/i/email20.png" style="border:0;margin:0;padding:0;"></a>&#160;<a title="Subscribe by RSS" href="http://webfeeds.brookings.edu/_/20/65487233/BrookingsRSS/series/howweredoing"><img height="20" src="http://assets.feedblitz.com/i/rss20.png" style="border:0;margin:0;padding:0;"></a>&nbsp;<div style="padding:0.3em;">&nbsp;</div>&#160;</div>]]>
</description><pubDate>Sun, 07 Aug 2011 00:00:00 -0400</pubDate><dc:creator>Ted Gayer and Darrell M. West</dc:creator><content:encoded><![CDATA[<div>
	<img src="http://www.brookings.edu/~/media/research/images/c/ck%20co/clip_coupons001_16x9.jpg?w=120" alt="" border="0" />
<br><p><strong>Index #9: Last Five Quarters</strong> 
<br>
<br> As the dust settles from the partisan fight over the debt ceiling, the recovery continues to falter, the labor market remains weak, the stock market is volatile and the public mood is increasingly pessimistic. In the ninth "How We're Doing" Index, a team of scholars at the Brookings Institution has looked at the past five quarters to assess the state of our political and economic conditions. Facing a real risk of recession, and with the Iowa caucuses only six months away, the impact on the 2012 elections of macroeconomic performance and three military conflicts loom large. <a href="#story">Continue reading below chart »</a>
<br>
<br><b>Related Materials:</b> 
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/series/how-were-doing" name="&lid={567D8757-3819-4EDA-8E93-502A0BFAE072}&lpos=loc:body">Past How We're Doing indexes »
<br></a></p><p><img width="600" height="1226" alt="" src="~/media/Research/Images/A/AU AZ/AugustHWDI.JPG">
<br>
<a href="#sources">See data sources &raquo;</a> <a name="story"></a>
<p>Real growth in gross domestic product was barely above 1 percent in the second quarter of 2011, and first quarter GDP was just 0.4 percent. This anemic pace is not enough to significantly dig out of the loss of nearly 9 million jobs from the recent recession. After peaking at 10.1 percent in October 2009, the unemployment rate remains stubbornly high, at more than 9 percent, and average duration of unemployment also remains persistently high. </p>
<p>The housing sector has often led the way out of past downturns, but home prices have slipped further nationwide over the past year, with metropolitan areas in Nevada, Florida, and California remaining among the hardest hit. Consumers are pessimistic, with confidence in July slumping to its lowest level since early 2009, and the National Federation of Independent Business's "optimism index" for small businesses is down again after two quarters of small increases.</p>
<p>The foreign policy situation remains difficult as well. U.S. combat fatalities rose in both Iraq and Afghanistan during the second quarter, although the situation has since improved.</p>
<p>After lengthy, tense negotiations between Congress and the White House over raising the debt ceiling and reducing the federal budget deficit, public confidence in government is low. Barely one in five voters says he or she is satisfied with the way things are going in the United States, according to Gallup polling. Neither party generates much confidence, although twice as many voters approve of the job being done by President Obama compared to Congress. Republicans and Democrats remain far apart in their preferred policies, which makes the task of practical problem solving very challenging for elected officials.</p>
<p>Against this backdrop of weak performance, the 2012 elections are taking shape. In past elections, Democrats have often sought to emphasize domestic economic circumstances, while Republican candidates emphasized foreign policy and national security. In the upcoming cycle, though, we may see the parties switching roles as the GOP highlights high unemployment and weak economic growth, and the president campaigns on his policy of scaling back involvement in unpopular wars in Iraq and Afghanistan.</p>
<p>So far, there are nine Republicans likely to seek to replace Obama, but the president does not have opposition in the Democratic nominating process. Historically, presidents who have not faced a primary challenge are more likely to win reelection. That was the case with Ronald Reagan, Bill Clinton and George W. Bush, but the unemployment rate was lower when each of them sought a second term. No president since Franklin Roosevelt has been re-elected -- or even run for re-election -- with unemployment over 8 percent.</p>
<strong>See also:</strong> 
<br>
&raquo; <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/metro/stateofmetroamerica.aspx">State of Metropolitan America</a>&mdash;portraying the demographic and social trends that shape our nation's metropolitan areas 
<br>
&raquo; <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/governance/govwatch.aspx">GovWatch</a>&mdash;tracking the progress and performance of our institutions in economic recovery 
<br>
&raquo; <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/metro/MetroMonitor.aspx">MetroMonitor</a>&mdash;a barometer of the health of America&rsquo;s 100 largest metropolitan economies
<br>
<br>
<p><a name="sources"></a></p>
<h2>Sources:</h2>
<p><em>GDP growth: 
<br>
</em>U.S. Bureau of Economic Analysis&nbsp;
<br>
<br>
<em>Unemployment rate: 
<br>
</em>U.S. Bureau of Labor Statistics</p>
<p><em>Average weeks unemployed: 
<br>
</em>U.S. Bureau of Labor Statistics</p>
<p><em>Disposable personal income: 
<br>
</em>U.S. Bureau of Economic Analysis
<br>
<br>
<em>Consumer inflation rate: 
<br>
</em>U.S. Bureau of Labor Statistics<em></em></p>
<p><em>Dow Jones Industrial Average:</em>
<br>
Yahoo! Finance</p>
<p><em>Average price of oil:</em>
<br>
Energy Information Administration
<br>
<br>
<em>Consumer sentiment:
<br>
</em>Reuters/University of Michigan survey of consumers</p>
<p><em>Small business optimism:</em>
<br>
NFIB Small Business Optimism Index</p>
<p><em>Consumer spending:
<br>
</em>U.S. Bureau of Economic Analysis
<br>
<em>
<br>
Months' supply of new homes:
<br>
</em>U.S. Census Bureau</p>
<p><em>Interest rate on 30-year fixed mortgage:</em>
<br>
Freddie Mac</p>
<p><em>Metro area employment rates:</em>
<br>
U.S. Bureau of Labor Statistics
<br>
<br>
<em>Metro area home price growth:</em>
<br>
Case-Shiller Index
<br>
<br>
<em>U.S. combat fatalities, Iraq and Afghanistan:</em>
<br>
icasualties.org</p>
<em>Approval ratings of president and Congress:
<br>
</em>Gallup
<br>
<br>
<em>Percent of Americans "satisfied with the way things are":
<br>
</em>Gallup
<br>
<br>
<br>
<p>&nbsp;</p>
</p><div>
		<h4>
			Authors
		</h4><ul>
			<li><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/experts/gayert?view=bio">Ted Gayer</a></li><li><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/experts/westd?view=bio">Darrell M. West</a></li>
		</ul>
	</div><div>
		Publication: The Brookings Institution and The Washington Post
	</div><div>
		Image Source: Â© Jessica Rinaldi / Reuters
	</div>
</div><Img align="left" border="0" height="1" width="1" alt="" style="border:0;float:left;margin:0;padding:0" hspace="0" src="http://webfeeds.brookings.edu/~/i/65487233/0/brookingsrss/series/howweredoing">
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</content:encoded></item>
<item>
<feedburner:origLink>http://www.brookings.edu/research/papers/2011/05/15-recovery-renewal?rssid=How+Were+Doing</feedburner:origLink><guid isPermaLink="false">{C772E0A3-BCDB-4DF3-AE31-4D81F777C736}</guid><link>http://webfeeds.brookings.edu/~/65487235/0/brookingsrss/series/howweredoing~How-Were-Doing-An-Uneven-Recovery-at-Home-and-Abroad</link><title>How We're Doing: An Uneven Recovery at Home and Abroad</title><description><![CDATA[<div>
	<img src="http://www.brookings.edu/~/media/research/images/g/ga%20ge/gas_prices003_16x9.jpg?w=120" alt="" border="0" /><br /><p><strong>Index #8: Last Five Quarters</strong> <br><br> The past few months have reminded Americans that progress can mean two steps forward and one step back. The death of Osama bin Laden has lifted President Obama's approval ratings - temporarily - but also increased fears of a retaliatory attack on U.S. soil. Economic recoveries abroad are bringing job growth - and higher oil prices. In the eighth "How We're Doing" Index, scholars at the Brookings Institution looked at the past five quarters and found an uneven economic recovery that is much different in Detroit than in Tampa - and quite dissimilar in Athens and Beijing.&lt;not-mobile message=""&gt;  <a href="#story">Continue reading below chart »</a> &lt;/not-mobile&gt;<br><br><b>Related Materials:</b> <br><a href="http://www.brookings.edu/series/how-were-doing" name="&lid={567D8757-3819-4EDA-8E93-502A0BFAE072}&lpos=loc:body">Past How We're Doing indexes »<br></a></p><p>&lt;not-mobile message="** To see the full indicator chart, please visit brookings.edu on your desktop **"&gt;<!-- INSERT CHART HTML BELOW THIS LINE   --><!-- =================================== --> <div class="interactive_table"><div class="interactive_table"><!-- Table 1 Begins Here--><h2>"General Welfare"</h2><div class="interactive_table">
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="second person" valign="top"><div class="content"><p><b>2010 Q1</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q2</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q3</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q4</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2011 Q1</b></p></div></td></tr>
<tr>
<td class="first label"><div class="content"><strong>U.S. GDP growth, <em>annualized</em> <em>percent change</em></strong></div></td>
<td class="number white" valign="top"><div class="content">3.7</div></td>
<td class="number white" valign="top"><div class="content">1.7</div></td>
<td class="number white" valign="top"><div class="content">2.6</div></td>
<td class="number white" valign="top"><div class="content">3.1</div></td>
<td class="number white" valign="top"><div class="content">1.8</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">China</div></td>
<td class="number white" valign="top"><div class="content">8.9</div></td>
<td class="number white" valign="top"><div class="content">9.3</div></td>
<td class="number white" valign="top"><div class="content">9.9</div></td>
<td class="number white" valign="top"><div class="content">10.1</div></td>
<td class="number white" valign="top"><div class="content">9.5</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Germany</div></td>
<td class="number white" valign="top"><div class="content">2.6</div></td>
<td class="number white" valign="top"><div class="content">9.2</div></td>
<td class="number white" valign="top"><div class="content">2.8</div></td>
<td class="number white" valign="top"><div class="content">1.5</div></td>
<td class="number white" valign="top"><div class="content">6.1</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Greece</div></td>
<td class="number white" valign="top"><div class="content">-7.2</div></td>
<td class="number white" valign="top"><div class="content">-7.0</div></td>
<td class="number white" valign="top"><div class="content">-6.6</div></td>
<td class="number white" valign="top"><div class="content">-5.6</div></td>
<td class="number white" valign="top"><div class="content">3.4</div></td></tr>
<tr>
<td class="first label"><div class="content"><strong>U.S. unemployment rate</strong></div></td>
<td class="number white" valign="top"><div class="content">9.7</div></td>
<td class="number white" valign="top"><div class="content">9.6</div></td>
<td class="number white" valign="top"><div class="content">9.6</div></td>
<td class="number white" valign="top"><div class="content">9.6</div></td>
<td class="number white" valign="top"><div class="content">8.9</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">China</div></td>
<td class="number white" valign="top"><div class="content">4.2</div></td>
<td class="number white" valign="top"><div class="content">4.2</div></td>
<td class="number white" valign="top"><div class="content">4.1</div></td>
<td class="number white" valign="top"><div class="content">4.1</div></td>
<td class="number white" valign="top"><div class="content">4.1</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Germany</div></td>
<td class="number white" valign="top"><div class="content">7.5</div></td>
<td class="number white" valign="top"><div class="content">7.2</div></td>
<td class="number white" valign="top"><div class="content">6.9</div></td>
<td class="number white" valign="top"><div class="content">6.7</div></td>
<td class="number white" valign="top"><div class="content">6.4</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Greece</div></td>
<td class="number white" valign="top"><div class="content">11.0</div></td>
<td class="number white" valign="top"><div class="content">12.2</div></td>
<td class="number white" valign="top"><div class="content">13.0</div></td>
<td class="number white" valign="top"><div class="content">14.1</div></td>
<td class="number white" valign="top"><div class="content">--</div></td></tr>
<tr>
<td class="first label"><div class="content"><strong>U.S. consumer inflation rate, <em>percent</em></strong></div></td>
<td class="number white" valign="top"><div class="content">1.3</div></td>
<td class="number white" valign="top"><div class="content">-0.5</div></td>
<td class="number white" valign="top"><div class="content">1.4</div></td>
<td class="number white" valign="top"><div class="content">2.6</div></td>
<td class="number white" valign="top"><div class="content">5.2</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">China</div></td>
<td class="number white" valign="top"><div class="content">3.5</div></td>
<td class="number white" valign="top"><div class="content">4.0</div></td>
<td class="number white" valign="top"><div class="content">4.7</div></td>
<td class="number white" valign="top"><div class="content">8.8</div></td>
<td class="number white" valign="top"><div class="content">6.5</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Germany</div></td>
<td class="number white" valign="top"><div class="content">1.4</div></td>
<td class="number white" valign="top"><div class="content">1.7</div></td>
<td class="number white" valign="top"><div class="content">0.7</div></td>
<td class="number white" valign="top"><div class="content">2.2</div></td>
<td class="number white" valign="top"><div class="content">3.6</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Greece</div></td>
<td class="number white" valign="top"><div class="content">5.1</div></td>
<td class="number white" valign="top"><div class="content">8.8</div></td>
<td class="number white" valign="top"><div class="content">5.7</div></td>
<td class="number white" valign="top"><div class="content">3.5</div></td>
<td class="number white" valign="top"><div class="content">2.7</div></td></tr>
<tr>
<td class="first label"><div class="content">Consumer sentiment</div></td>
<td class="number white" valign="top"><div class="content">74</div></td>
<td class="number white" valign="top"><div class="content">74</div></td>
<td class="number white" valign="top"><div class="content">68</div></td>
<td class="number white" valign="top"><div class="content">71</div></td>
<td class="number white" valign="top"><div class="content">73</div></td></tr>
<tr>
<td class="first label">Months' supply of new homes</td>
<td class="number white" valign="top"><div class="content">7.7</div></td>
<td class="number white" valign="top"><div class="content">7.9</div></td>
<td class="number white" valign="top"><div class="content">8.5</div></td>
<td class="number white" valign="top"><div class="content">7.9</div></td>
<td class="number white" valign="top"><div class="content">7.6</div></td></tr>
<tr>
<td class="first label"><div class="content">Dow Jones Industrial Average, <em>end of quarter</em></div></td>
<td class="number white" valign="top"><div class="content">10,857</div></td>
<td class="number white" valign="top"><div class="content">9,774</div></td>
<td class="number white" valign="top"><div class="content">10,788</div></td>
<td class="number white" valign="top"><div class="content">11,578</div></td>
<td class="number white" valign="top"><div class="content">12,320</div></td></tr>
<tr>
<td class="first label">Average price of oil, <em>per barrel, end of quarter</em></td>
<td class="number white" valign="top"><div class="content">$77.60</div></td>
<td class="number white" valign="top"><div class="content">$75.09</div></td>
<td class="number white" valign="top"><div class="content">$75.14</div></td>
<td class="number white" valign="top"><div class="content">$90.61</div></td>
<td class="number white" valign="top"><div class="content">$110.83</div></td></tr>
<tr>
<td class="first label">Interest rate on 30-year fixed mortgage, <em>end of quarter</em></td>
<td class="number white" valign="top"><div class="content">5.0</div></td>
<td class="number white" valign="top"><div class="content">4.7</div></td>
<td class="number white" valign="top"><div class="content">4.4</div></td>
<td class="number white" valign="top"><div class="content">4.7</div></td>
<td class="number white" valign="top"><div class="content">4.8</div></td></tr>
<tr>
<td class="first label">Home price growth</td>
<td class="number white" valign="top"></td>
<td class="number white" valign="top"></td>
<td class="number white" valign="top"></td>
<td class="number white" valign="top"></td>
<td class="number white" valign="top"><div class="content"> </div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">... in the Cleveland metro area</div></td>
<td class="number white" valign="top"><div class="content">1.0</div></td>
<td class="number white" valign="top"><div class="content">0.7</div></td>
<td class="number white" valign="top"><div class="content">-1.8</div></td>
<td class="number white" valign="top"><div class="content">-4.3</div></td>
<td class="number white" valign="top"><div class="content">2.8</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">... in the D.C. metro area</div></td>
<td class="number white" valign="top"><div class="content">1.0</div></td>
<td class="number white" valign="top"><div class="content">1.9</div></td>
<td class="number white" valign="top"><div class="content">0.4</div></td>
<td class="number white" valign="top"><div class="content">-0.7</div></td>
<td class="number white" valign="top"><div><div class="content">1.2</div></div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">... in the Detroit metro area</div></td>
<td class="number white" valign="top"><div class="content">-0.3</div></td>
<td class="number white" valign="top"><div class="content">-1.9</div></td>
<td class="number white" valign="top"><div class="content">-0.2</div></td>
<td class="number white" valign="top"><div class="content">-3.6</div></td>
<td class="number white" valign="top"><div class="content">2.1</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">... in the Las Vegas metro area</div></td>
<td class="number white" valign="top"><div class="content">1.0</div></td>
<td class="number white" valign="top"><div class="content">-0.8</div></td>
<td class="number white" valign="top"><div class="content">-2.8</div></td>
<td class="number white" valign="top"><div class="content">-0.9</div></td>
<td class="number white" valign="top"><div class="content">-0.5</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">... in the Tampa metro area</div></td>
<td class="number white" valign="top"><div class="content">-0.3</div></td>
<td class="number white" valign="top"><div class="content">0.8</div></td>
<td class="number white" valign="top"><div class="content">-2.4</div></td>
<td class="number white" valign="top"><div class="content">-2.5</div></td>
<td class="number white" valign="top"><div class="content">-1.9</div></td></tr>
<tr>
<td class="first label"><div class="content">Unemployment rate, <em>percentage point change from one year earlier</em></div></td>
<td class="number white" colspan="5"></td></tr>
<tr>
<td class="first label" align="right"><div class="content">... in the Cleveland metro area</div></td>
<td class="number white" valign="top"><div class="content">0.9</div></td>
<td class="number white" valign="top"><div class="content">-0.2</div></td>
<td class="number white" valign="top"><div class="content">0.2</div></td>
<td class="number white" valign="top"><div class="content">-0.2</div></td>
<td class="number white" valign="top"><div class="content">-1.1</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">... in the D.C. metro area</div></td>
<td class="number white" valign="top"><div class="content">0.9</div></td>
<td class="number white" valign="top"><div class="content">0.0</div></td>
<td class="number white" valign="top"><div class="content">-0.1</div></td>
<td class="number white" valign="top"><div class="content">-0.1</div></td>
<td class="number white" valign="top"><div class="content">-0.9</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">... in the Detroit metro area</div></td>
<td class="number white" valign="top"><div class="content">1.4</div></td>
<td class="number white" valign="top"><div class="content">-1.4</div></td>
<td class="number white" valign="top"><div class="content">-2.4</div></td>
<td class="number white" valign="top"><div class="content">-3.1</div></td>
<td class="number white" valign="top"><div class="content">-3.4</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">... in the Las Vegas metro area</div></td>
<td class="number white" valign="top"><div class="content">4.6</div></td>
<td class="number white" valign="top"><div class="content">3.0</div></td>
<td class="number white" valign="top"><div class="content">1.6</div></td>
<td class="number white" valign="top"><div class="content">1.0</div></td>
<td class="number white" valign="top"><div class="content">-1.5</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">... in the Tampa metro area</div></td>
<td class="number white" valign="top"><div class="content">2.4</div></td>
<td class="number white" valign="top"><div class="content">1.3</div></td>
<td class="number white" valign="top"><div class="content">1.2</div></td>
<td class="number white" valign="top"><div class="content">1.0</div></td>
<td class="number white" valign="top"><div class="content">-0.6</div></td></tr></tbody></table><!-- Table 2 Begins Here --><h2>"Common Defense"</h2>
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="second person" valign="top"><div class="content"><p><b>2010 Q1</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q2</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q3</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q4</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2011 Q1</b></p></div></td></tr>
<tr>
<td class="first label"><div class="content">U.S. combat fatalities for the war in Iraq</div></td>
<td class="number white" valign="top"><div class="content">19</div></td>
<td class="number white" valign="top"><div class="content">22</div></td>
<td class="number white" valign="top"><div class="content">14</div></td>
<td class="number white" valign="top"><div class="content">5</div></td>
<td class="number white" valign="top"><div class="content">11</div></td></tr>
<tr>
<td class="first label"><div class="content">U.S. combat fatalities for the war in Afghanistan </div></td>
<td class="number white" valign="top"><div class="content">87</div></td>
<td class="number white" valign="top"><div class="content">114</div></td>
<td class="number white" valign="top"><div class="content">162</div></td>
<td class="number white" valign="top"><div class="content">136</div></td>
<td class="number white" valign="top"><div class="content">76</div></td></tr></tbody></table><!-- Table 3 Begins Here --><h2>"Blessings of Liberty"</h2>
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="second person" valign="top"><div class="content"><b><p><b>2010 Q1</b></p></b></div></td>
<td class="person" valign="top"><div class="content"><b><p><b>2010 Q2</b></p></b></div></td>
<td class="person" valign="top"><div class="content"><b><p><b>2010 Q3</b></p></b></div></td>
<td class="person" valign="top"><div class="content"><b><p><b>2010 Q4</b></p></b></div></td>
<td class="person" valign="top"><div class="content"><b><p><b>2011 Q1</b></p></b></div></td></tr>
<tr>
<td class="first label"><div class="content">Average approval rating of the president, <em>percent</em></div></td>
<td class="number white" valign="top"><div class="content">49%</div></td>
<td class="number white" valign="top"><div class="content">48%</div></td>
<td class="number white" valign="top"><div class="content">45%</div></td>
<td class="number white" valign="top"><div class="content">46%</div></td>
<td class="number white" valign="top"><div class="content">48%</div></td></tr>
<tr>
<td class="first label"><div class="content">Approval rating of Congress, <em>percent</em></div></td>
<td class="number white" valign="top"><div class="content">19%</div></td>
<td class="number white" valign="top"><div class="content">21%</div></td>
<td class="number white" valign="top"><div class="content">19%</div></td>
<td class="number white" valign="top"><div class="content">17%</div></td>
<td class="number white" valign="top"><div class="content">20%</div></td></tr>
<tr>
<td class="first label"><div class="content">Average percent of Americans "satisfied with the way things are"</div></td>
<td class="number white" valign="top"><div class="content">22%</div></td>
<td class="number white" valign="top"><div class="content">25%</div></td>
<td class="number white" valign="top"><div class="content">20%</div></td>
<td class="number white" valign="top"><div class="content">19%</div></td>
<td class="number white" valign="top"><div class="content">20%</div></td></tr>
<tr>
<td class="first label"><div class="content">Average difference between Democratic and Republican approval ratings of the presidency</div></td>
<td class="number white" valign="top"><div class="content">68%</div></td>
<td class="number white" valign="top"><div class="content">69%</div></td>
<td class="number white" valign="top"><div class="content">68%</div></td>
<td class="number white" valign="top"><div class="content">70%</div></td>
<td class="number white" valign="top"><div class="content">67%</div></td></tr></tbody></table></div><!-- =================================== --><!-- INSERT CHART HTML ABOVETHIS LINE    --><!-- ===================================  ============================== --><!-- ============================== --><!-- NARRATIVE CONTENT RESUMES HERE --><!-- ============================== --><!-- ============================== --><!-- ============================== --><a name="story"></a><a href="#sources">See data sources »</a> <br>&lt;/not-mobile&gt; <p>The key indicators suggest that the economic recovery in the United States continues to move forward. Output is rising, credit conditions are thawing and firms are hiring. Consumer and small-business confidence remain low by pre-recession standards, which is perhaps not surprising with the unemployment rate at 9 percent. But these measures are well above the range seen during the recent recession. Similarly, approval ratings for Congress and the president have improved slightly relative to last year's lows. (The recent spike is likely to disappear given the enduring concerns about jobs.) </p><p>But the degree to which this national perspective resonates with a given American family depends on where it resides. Even among the metropolitan economies hit hardest by the Great Recession, the differences in the speed of recovery have been striking. Areas heavily linked to the auto industry, such as Cleveland and Detroit, have benefited from the resurgence of manufacturing activity since 2009. On average, the unemployment rates of these urban economies have fallen two percentage points in the past year - double the national decline. Conversely, metro areas that were hit hard because of their exposure to the housing bust, such as Las Vegas and Tampa, have been slow to recover, with their housing markets still facing significant structural problems. Unemployment rates in many of the areas hurt by the housing bust are little changed from a year ago. </p><p>Meanwhile, the global economic recovery is also uneven. Many emerging economies, such as China and India, snapped back quickly and are operating at close to full capacity. But our trading partners in the advanced world are moving back to normal much more slowly. Indeed, in some European countries, particularly those undergoing substantial fiscal adjustments - such as Greece, Ireland and Portugal - the economic recovery is slower than our own. Uncertainty looms over the rest of the euro area as turmoil may worsen. </p><p>Inflationary pressures across countries mirror those of activity. In emerging market economies, strains on capacity and commodity price increases are pushing inflation uncomfortably high. Inflation rates have picked up in developed nations, too, including the United States. But still-high levels of unemployment have held down labor costs in the developed economies, and inflation rates seem likely to retreat to levels that will be at or below what's desirable. </p><p>Economic conditions in our trading partners influence our own. The weak recoveries in Europe reduce demand for our exports. The strength in the emerging world has been a key factor in pushing up the price of oil and, in turn, gasoline and other types of fuel, which means we have less income to spend on non-energy goods and services. Should further large and sustained increases in energy prices threaten to raise overall inflation beyond a desirable level, the Federal Reserve will need to withdraw monetary stimulus more aggressively than it had planned. </p><p>How are we doing, then? The U.S. economy as a whole is recovering, but that recovery is not broadly shared - at home or abroad.</p><strong>See also:</strong> <br>» <a href="/metro/stateofmetroamerica.aspx">State of Metropolitan America</a>—portraying the demographic and social trends that shape our nation's metropolitan areas <br>» <a href="/governance/govwatch.aspx">GovWatch</a>—tracking the progress and performance of our institutions in economic recovery <br>» <a href="/metro/MetroMonitor.aspx">MetroMonitor</a>—a barometer of the health of America’s 100 largest metropolitan economies<br><br><p><a name="sources"></a></p><h2>Sources:</h2><p><p><p><p><p><p><p><p><p><p><p><p><p><em>U.S. GDP growth: <br></em>U.S. Bureau of Economic Analysis <br><br><em>China GDP growth: <br></em>China National Bureau of Statistics; seasonally adjusted by Brookings staff<br><br><em>Germany GDP growth: <br></em>Deutsche Bundesbank <br><br><em>Greece GDP growth: <br></em>National Statistical Service of Greece <br><br><em>U.S. unemployment rate: <br></em>U.S. Bureau of Labor Statistics<br><br><em>China unemployment rate: <br></em>China National Bureau of Statistics; seasonally adjusted by Brookings staff<br><br><em>Germany unemployment rate: <br></em>Statistisches Bundesamt; seasonally adjusted by Brookings staff<br><br><em>Greece unemployment rate: <br></em>National Statistical Service of Greece; seasonally adjusted by Brookings staff<br><br><em>Total U.S. consumer inflation rate: <br></em>U.S. Bureau of Labor Statistics<br><br><em>Total China consumer inflation rate: <br></em>China National Bureau of Statistics; seasonally adjusted by Brookings staff<br><br><em>Total Germany consumer inflation rate: <br></em>Deutsche Bundesbank<br><br><em>Total Greece consumer inflation rate: <br></em>National Statistical Service of Greece; seasonally adjusted by Brookings staff<br><br><em>Consumer sentiment:<br></em>Reuters/University of Michigan survey of consumers<br><em><br>Months' supply of new homes:<br></em>U.S. Census Bureau<br><br><em>Dow Jones Industrial Average:</em><br>Yahoo! Finance<br><br><em>Average price of oil:</em><br>Energy Information Administration<br><br><em>Interest rate on 30-year fixed mortgage:</em><br>Freddie Mac<br><br><em>Metro area home price growth:</em><br>Case-Shiller Index<br><br><em>Metro area unemployment rates:</em><br>U.S. Bureau of Labor Statistics<br><br><em>U.S. combat fatalities, Iraq and Afghanistan:</em><br>icasualties.org<br><br><em>Approval ratings of president and Congress:<br></em>Gallup<br><br><em>Percent of Americans "satisfied with the way things are":<br></em>Gallup<br><br><br></p></div></div></p><div>
		<h4>
			Authors
		</h4><ul>
			<li><a href="http://www.brookings.edu/experts/berubea?view=bio">Alan Berube</a></li><li><a href="http://www.brookings.edu/experts/dynank?view=bio">Karen Dynan</a></li><li><a href="http://www.brookings.edu/experts/lombardid?view=bio">Domenico Lombardi</a></li>
		</ul>
	</div><div>
		Publication: The Brookings Institution and The Washington Post
	</div><div>
		Image Source: Â© Mike Blake / Reuters
	</div>
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</description><pubDate>Sun, 15 May 2011 00:00:00 -0400</pubDate><dc:creator>Alan Berube, Karen Dynan and Domenico Lombardi</dc:creator><content:encoded><![CDATA[<div>
	<img src="http://www.brookings.edu/~/media/research/images/g/ga%20ge/gas_prices003_16x9.jpg?w=120" alt="" border="0" />
<br><p><strong>Index #8: Last Five Quarters</strong> 
<br>
<br> The past few months have reminded Americans that progress can mean two steps forward and one step back. The death of Osama bin Laden has lifted President Obama's approval ratings - temporarily - but also increased fears of a retaliatory attack on U.S. soil. Economic recoveries abroad are bringing job growth - and higher oil prices. In the eighth "How We're Doing" Index, scholars at the Brookings Institution looked at the past five quarters and found an uneven economic recovery that is much different in Detroit than in Tampa - and quite dissimilar in Athens and Beijing.&lt;not-mobile message=""&gt;  <a href="#story">Continue reading below chart »</a> &lt;/not-mobile&gt;
<br>
<br><b>Related Materials:</b> 
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/series/how-were-doing" name="&lid={567D8757-3819-4EDA-8E93-502A0BFAE072}&lpos=loc:body">Past How We're Doing indexes »
<br></a></p><p>&lt;not-mobile message="** To see the full indicator chart, please visit brookings.edu on your desktop **"&gt;<!-- INSERT CHART HTML BELOW THIS LINE   --><!-- =================================== --> <div class="interactive_table"><div class="interactive_table"><!-- Table 1 Begins Here--><h2>"General Welfare"</h2><div class="interactive_table">
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="second person" valign="top"><div class="content"><p><b>2010 Q1</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q2</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q3</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q4</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2011 Q1</b></p></div></td></tr>
<tr>
<td class="first label"><div class="content"><strong>U.S. GDP growth, <em>annualized</em> <em>percent change</em></strong></div></td>
<td class="number white" valign="top"><div class="content">3.7</div></td>
<td class="number white" valign="top"><div class="content">1.7</div></td>
<td class="number white" valign="top"><div class="content">2.6</div></td>
<td class="number white" valign="top"><div class="content">3.1</div></td>
<td class="number white" valign="top"><div class="content">1.8</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">China</div></td>
<td class="number white" valign="top"><div class="content">8.9</div></td>
<td class="number white" valign="top"><div class="content">9.3</div></td>
<td class="number white" valign="top"><div class="content">9.9</div></td>
<td class="number white" valign="top"><div class="content">10.1</div></td>
<td class="number white" valign="top"><div class="content">9.5</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Germany</div></td>
<td class="number white" valign="top"><div class="content">2.6</div></td>
<td class="number white" valign="top"><div class="content">9.2</div></td>
<td class="number white" valign="top"><div class="content">2.8</div></td>
<td class="number white" valign="top"><div class="content">1.5</div></td>
<td class="number white" valign="top"><div class="content">6.1</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Greece</div></td>
<td class="number white" valign="top"><div class="content">-7.2</div></td>
<td class="number white" valign="top"><div class="content">-7.0</div></td>
<td class="number white" valign="top"><div class="content">-6.6</div></td>
<td class="number white" valign="top"><div class="content">-5.6</div></td>
<td class="number white" valign="top"><div class="content">3.4</div></td></tr>
<tr>
<td class="first label"><div class="content"><strong>U.S. unemployment rate</strong></div></td>
<td class="number white" valign="top"><div class="content">9.7</div></td>
<td class="number white" valign="top"><div class="content">9.6</div></td>
<td class="number white" valign="top"><div class="content">9.6</div></td>
<td class="number white" valign="top"><div class="content">9.6</div></td>
<td class="number white" valign="top"><div class="content">8.9</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">China</div></td>
<td class="number white" valign="top"><div class="content">4.2</div></td>
<td class="number white" valign="top"><div class="content">4.2</div></td>
<td class="number white" valign="top"><div class="content">4.1</div></td>
<td class="number white" valign="top"><div class="content">4.1</div></td>
<td class="number white" valign="top"><div class="content">4.1</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Germany</div></td>
<td class="number white" valign="top"><div class="content">7.5</div></td>
<td class="number white" valign="top"><div class="content">7.2</div></td>
<td class="number white" valign="top"><div class="content">6.9</div></td>
<td class="number white" valign="top"><div class="content">6.7</div></td>
<td class="number white" valign="top"><div class="content">6.4</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Greece</div></td>
<td class="number white" valign="top"><div class="content">11.0</div></td>
<td class="number white" valign="top"><div class="content">12.2</div></td>
<td class="number white" valign="top"><div class="content">13.0</div></td>
<td class="number white" valign="top"><div class="content">14.1</div></td>
<td class="number white" valign="top"><div class="content">--</div></td></tr>
<tr>
<td class="first label"><div class="content"><strong>U.S. consumer inflation rate, <em>percent</em></strong></div></td>
<td class="number white" valign="top"><div class="content">1.3</div></td>
<td class="number white" valign="top"><div class="content">-0.5</div></td>
<td class="number white" valign="top"><div class="content">1.4</div></td>
<td class="number white" valign="top"><div class="content">2.6</div></td>
<td class="number white" valign="top"><div class="content">5.2</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">China</div></td>
<td class="number white" valign="top"><div class="content">3.5</div></td>
<td class="number white" valign="top"><div class="content">4.0</div></td>
<td class="number white" valign="top"><div class="content">4.7</div></td>
<td class="number white" valign="top"><div class="content">8.8</div></td>
<td class="number white" valign="top"><div class="content">6.5</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Germany</div></td>
<td class="number white" valign="top"><div class="content">1.4</div></td>
<td class="number white" valign="top"><div class="content">1.7</div></td>
<td class="number white" valign="top"><div class="content">0.7</div></td>
<td class="number white" valign="top"><div class="content">2.2</div></td>
<td class="number white" valign="top"><div class="content">3.6</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Greece</div></td>
<td class="number white" valign="top"><div class="content">5.1</div></td>
<td class="number white" valign="top"><div class="content">8.8</div></td>
<td class="number white" valign="top"><div class="content">5.7</div></td>
<td class="number white" valign="top"><div class="content">3.5</div></td>
<td class="number white" valign="top"><div class="content">2.7</div></td></tr>
<tr>
<td class="first label"><div class="content">Consumer sentiment</div></td>
<td class="number white" valign="top"><div class="content">74</div></td>
<td class="number white" valign="top"><div class="content">74</div></td>
<td class="number white" valign="top"><div class="content">68</div></td>
<td class="number white" valign="top"><div class="content">71</div></td>
<td class="number white" valign="top"><div class="content">73</div></td></tr>
<tr>
<td class="first label">Months' supply of new homes</td>
<td class="number white" valign="top"><div class="content">7.7</div></td>
<td class="number white" valign="top"><div class="content">7.9</div></td>
<td class="number white" valign="top"><div class="content">8.5</div></td>
<td class="number white" valign="top"><div class="content">7.9</div></td>
<td class="number white" valign="top"><div class="content">7.6</div></td></tr>
<tr>
<td class="first label"><div class="content">Dow Jones Industrial Average, <em>end of quarter</em></div></td>
<td class="number white" valign="top"><div class="content">10,857</div></td>
<td class="number white" valign="top"><div class="content">9,774</div></td>
<td class="number white" valign="top"><div class="content">10,788</div></td>
<td class="number white" valign="top"><div class="content">11,578</div></td>
<td class="number white" valign="top"><div class="content">12,320</div></td></tr>
<tr>
<td class="first label">Average price of oil, <em>per barrel, end of quarter</em></td>
<td class="number white" valign="top"><div class="content">$77.60</div></td>
<td class="number white" valign="top"><div class="content">$75.09</div></td>
<td class="number white" valign="top"><div class="content">$75.14</div></td>
<td class="number white" valign="top"><div class="content">$90.61</div></td>
<td class="number white" valign="top"><div class="content">$110.83</div></td></tr>
<tr>
<td class="first label">Interest rate on 30-year fixed mortgage, <em>end of quarter</em></td>
<td class="number white" valign="top"><div class="content">5.0</div></td>
<td class="number white" valign="top"><div class="content">4.7</div></td>
<td class="number white" valign="top"><div class="content">4.4</div></td>
<td class="number white" valign="top"><div class="content">4.7</div></td>
<td class="number white" valign="top"><div class="content">4.8</div></td></tr>
<tr>
<td class="first label">Home price growth</td>
<td class="number white" valign="top"></td>
<td class="number white" valign="top"></td>
<td class="number white" valign="top"></td>
<td class="number white" valign="top"></td>
<td class="number white" valign="top"><div class="content"> </div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">... in the Cleveland metro area</div></td>
<td class="number white" valign="top"><div class="content">1.0</div></td>
<td class="number white" valign="top"><div class="content">0.7</div></td>
<td class="number white" valign="top"><div class="content">-1.8</div></td>
<td class="number white" valign="top"><div class="content">-4.3</div></td>
<td class="number white" valign="top"><div class="content">2.8</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">... in the D.C. metro area</div></td>
<td class="number white" valign="top"><div class="content">1.0</div></td>
<td class="number white" valign="top"><div class="content">1.9</div></td>
<td class="number white" valign="top"><div class="content">0.4</div></td>
<td class="number white" valign="top"><div class="content">-0.7</div></td>
<td class="number white" valign="top"><div><div class="content">1.2</div></div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">... in the Detroit metro area</div></td>
<td class="number white" valign="top"><div class="content">-0.3</div></td>
<td class="number white" valign="top"><div class="content">-1.9</div></td>
<td class="number white" valign="top"><div class="content">-0.2</div></td>
<td class="number white" valign="top"><div class="content">-3.6</div></td>
<td class="number white" valign="top"><div class="content">2.1</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">... in the Las Vegas metro area</div></td>
<td class="number white" valign="top"><div class="content">1.0</div></td>
<td class="number white" valign="top"><div class="content">-0.8</div></td>
<td class="number white" valign="top"><div class="content">-2.8</div></td>
<td class="number white" valign="top"><div class="content">-0.9</div></td>
<td class="number white" valign="top"><div class="content">-0.5</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">... in the Tampa metro area</div></td>
<td class="number white" valign="top"><div class="content">-0.3</div></td>
<td class="number white" valign="top"><div class="content">0.8</div></td>
<td class="number white" valign="top"><div class="content">-2.4</div></td>
<td class="number white" valign="top"><div class="content">-2.5</div></td>
<td class="number white" valign="top"><div class="content">-1.9</div></td></tr>
<tr>
<td class="first label"><div class="content">Unemployment rate, <em>percentage point change from one year earlier</em></div></td>
<td class="number white" colspan="5"></td></tr>
<tr>
<td class="first label" align="right"><div class="content">... in the Cleveland metro area</div></td>
<td class="number white" valign="top"><div class="content">0.9</div></td>
<td class="number white" valign="top"><div class="content">-0.2</div></td>
<td class="number white" valign="top"><div class="content">0.2</div></td>
<td class="number white" valign="top"><div class="content">-0.2</div></td>
<td class="number white" valign="top"><div class="content">-1.1</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">... in the D.C. metro area</div></td>
<td class="number white" valign="top"><div class="content">0.9</div></td>
<td class="number white" valign="top"><div class="content">0.0</div></td>
<td class="number white" valign="top"><div class="content">-0.1</div></td>
<td class="number white" valign="top"><div class="content">-0.1</div></td>
<td class="number white" valign="top"><div class="content">-0.9</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">... in the Detroit metro area</div></td>
<td class="number white" valign="top"><div class="content">1.4</div></td>
<td class="number white" valign="top"><div class="content">-1.4</div></td>
<td class="number white" valign="top"><div class="content">-2.4</div></td>
<td class="number white" valign="top"><div class="content">-3.1</div></td>
<td class="number white" valign="top"><div class="content">-3.4</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">... in the Las Vegas metro area</div></td>
<td class="number white" valign="top"><div class="content">4.6</div></td>
<td class="number white" valign="top"><div class="content">3.0</div></td>
<td class="number white" valign="top"><div class="content">1.6</div></td>
<td class="number white" valign="top"><div class="content">1.0</div></td>
<td class="number white" valign="top"><div class="content">-1.5</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">... in the Tampa metro area</div></td>
<td class="number white" valign="top"><div class="content">2.4</div></td>
<td class="number white" valign="top"><div class="content">1.3</div></td>
<td class="number white" valign="top"><div class="content">1.2</div></td>
<td class="number white" valign="top"><div class="content">1.0</div></td>
<td class="number white" valign="top"><div class="content">-0.6</div></td></tr></tbody></table><!-- Table 2 Begins Here --><h2>"Common Defense"</h2>
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="second person" valign="top"><div class="content"><p><b>2010 Q1</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q2</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q3</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q4</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2011 Q1</b></p></div></td></tr>
<tr>
<td class="first label"><div class="content">U.S. combat fatalities for the war in Iraq</div></td>
<td class="number white" valign="top"><div class="content">19</div></td>
<td class="number white" valign="top"><div class="content">22</div></td>
<td class="number white" valign="top"><div class="content">14</div></td>
<td class="number white" valign="top"><div class="content">5</div></td>
<td class="number white" valign="top"><div class="content">11</div></td></tr>
<tr>
<td class="first label"><div class="content">U.S. combat fatalities for the war in Afghanistan </div></td>
<td class="number white" valign="top"><div class="content">87</div></td>
<td class="number white" valign="top"><div class="content">114</div></td>
<td class="number white" valign="top"><div class="content">162</div></td>
<td class="number white" valign="top"><div class="content">136</div></td>
<td class="number white" valign="top"><div class="content">76</div></td></tr></tbody></table><!-- Table 3 Begins Here --><h2>"Blessings of Liberty"</h2>
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="second person" valign="top"><div class="content"><b><p><b>2010 Q1</b></p></b></div></td>
<td class="person" valign="top"><div class="content"><b><p><b>2010 Q2</b></p></b></div></td>
<td class="person" valign="top"><div class="content"><b><p><b>2010 Q3</b></p></b></div></td>
<td class="person" valign="top"><div class="content"><b><p><b>2010 Q4</b></p></b></div></td>
<td class="person" valign="top"><div class="content"><b><p><b>2011 Q1</b></p></b></div></td></tr>
<tr>
<td class="first label"><div class="content">Average approval rating of the president, <em>percent</em></div></td>
<td class="number white" valign="top"><div class="content">49%</div></td>
<td class="number white" valign="top"><div class="content">48%</div></td>
<td class="number white" valign="top"><div class="content">45%</div></td>
<td class="number white" valign="top"><div class="content">46%</div></td>
<td class="number white" valign="top"><div class="content">48%</div></td></tr>
<tr>
<td class="first label"><div class="content">Approval rating of Congress, <em>percent</em></div></td>
<td class="number white" valign="top"><div class="content">19%</div></td>
<td class="number white" valign="top"><div class="content">21%</div></td>
<td class="number white" valign="top"><div class="content">19%</div></td>
<td class="number white" valign="top"><div class="content">17%</div></td>
<td class="number white" valign="top"><div class="content">20%</div></td></tr>
<tr>
<td class="first label"><div class="content">Average percent of Americans "satisfied with the way things are"</div></td>
<td class="number white" valign="top"><div class="content">22%</div></td>
<td class="number white" valign="top"><div class="content">25%</div></td>
<td class="number white" valign="top"><div class="content">20%</div></td>
<td class="number white" valign="top"><div class="content">19%</div></td>
<td class="number white" valign="top"><div class="content">20%</div></td></tr>
<tr>
<td class="first label"><div class="content">Average difference between Democratic and Republican approval ratings of the presidency</div></td>
<td class="number white" valign="top"><div class="content">68%</div></td>
<td class="number white" valign="top"><div class="content">69%</div></td>
<td class="number white" valign="top"><div class="content">68%</div></td>
<td class="number white" valign="top"><div class="content">70%</div></td>
<td class="number white" valign="top"><div class="content">67%</div></td></tr></tbody></table></div><!-- =================================== --><!-- INSERT CHART HTML ABOVETHIS LINE    --><!-- ===================================  ============================== --><!-- ============================== --><!-- NARRATIVE CONTENT RESUMES HERE --><!-- ============================== --><!-- ============================== --><!-- ============================== --><a name="story"></a><a href="#sources">See data sources »</a> 
<br>&lt;/not-mobile&gt; <p>The key indicators suggest that the economic recovery in the United States continues to move forward. Output is rising, credit conditions are thawing and firms are hiring. Consumer and small-business confidence remain low by pre-recession standards, which is perhaps not surprising with the unemployment rate at 9 percent. But these measures are well above the range seen during the recent recession. Similarly, approval ratings for Congress and the president have improved slightly relative to last year's lows. (The recent spike is likely to disappear given the enduring concerns about jobs.) </p><p>But the degree to which this national perspective resonates with a given American family depends on where it resides. Even among the metropolitan economies hit hardest by the Great Recession, the differences in the speed of recovery have been striking. Areas heavily linked to the auto industry, such as Cleveland and Detroit, have benefited from the resurgence of manufacturing activity since 2009. On average, the unemployment rates of these urban economies have fallen two percentage points in the past year - double the national decline. Conversely, metro areas that were hit hard because of their exposure to the housing bust, such as Las Vegas and Tampa, have been slow to recover, with their housing markets still facing significant structural problems. Unemployment rates in many of the areas hurt by the housing bust are little changed from a year ago. </p><p>Meanwhile, the global economic recovery is also uneven. Many emerging economies, such as China and India, snapped back quickly and are operating at close to full capacity. But our trading partners in the advanced world are moving back to normal much more slowly. Indeed, in some European countries, particularly those undergoing substantial fiscal adjustments - such as Greece, Ireland and Portugal - the economic recovery is slower than our own. Uncertainty looms over the rest of the euro area as turmoil may worsen. </p><p>Inflationary pressures across countries mirror those of activity. In emerging market economies, strains on capacity and commodity price increases are pushing inflation uncomfortably high. Inflation rates have picked up in developed nations, too, including the United States. But still-high levels of unemployment have held down labor costs in the developed economies, and inflation rates seem likely to retreat to levels that will be at or below what's desirable. </p><p>Economic conditions in our trading partners influence our own. The weak recoveries in Europe reduce demand for our exports. The strength in the emerging world has been a key factor in pushing up the price of oil and, in turn, gasoline and other types of fuel, which means we have less income to spend on non-energy goods and services. Should further large and sustained increases in energy prices threaten to raise overall inflation beyond a desirable level, the Federal Reserve will need to withdraw monetary stimulus more aggressively than it had planned. </p><p>How are we doing, then? The U.S. economy as a whole is recovering, but that recovery is not broadly shared - at home or abroad.</p><strong>See also:</strong> 
<br>» <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/metro/stateofmetroamerica.aspx">State of Metropolitan America</a>—portraying the demographic and social trends that shape our nation's metropolitan areas 
<br>» <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/governance/govwatch.aspx">GovWatch</a>—tracking the progress and performance of our institutions in economic recovery 
<br>» <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/metro/MetroMonitor.aspx">MetroMonitor</a>—a barometer of the health of America’s 100 largest metropolitan economies
<br>
<br><p><a name="sources"></a></p><h2>Sources:</h2><p><p><p><p><p><p><p><p><p><p><p><p><p><em>U.S. GDP growth: 
<br></em>U.S. Bureau of Economic Analysis 
<br>
<br><em>China GDP growth: 
<br></em>China National Bureau of Statistics; seasonally adjusted by Brookings staff
<br>
<br><em>Germany GDP growth: 
<br></em>Deutsche Bundesbank 
<br>
<br><em>Greece GDP growth: 
<br></em>National Statistical Service of Greece 
<br>
<br><em>U.S. unemployment rate: 
<br></em>U.S. Bureau of Labor Statistics
<br>
<br><em>China unemployment rate: 
<br></em>China National Bureau of Statistics; seasonally adjusted by Brookings staff
<br>
<br><em>Germany unemployment rate: 
<br></em>Statistisches Bundesamt; seasonally adjusted by Brookings staff
<br>
<br><em>Greece unemployment rate: 
<br></em>National Statistical Service of Greece; seasonally adjusted by Brookings staff
<br>
<br><em>Total U.S. consumer inflation rate: 
<br></em>U.S. Bureau of Labor Statistics
<br>
<br><em>Total China consumer inflation rate: 
<br></em>China National Bureau of Statistics; seasonally adjusted by Brookings staff
<br>
<br><em>Total Germany consumer inflation rate: 
<br></em>Deutsche Bundesbank
<br>
<br><em>Total Greece consumer inflation rate: 
<br></em>National Statistical Service of Greece; seasonally adjusted by Brookings staff
<br>
<br><em>Consumer sentiment:
<br></em>Reuters/University of Michigan survey of consumers
<br><em>
<br>Months' supply of new homes:
<br></em>U.S. Census Bureau
<br>
<br><em>Dow Jones Industrial Average:</em>
<br>Yahoo! Finance
<br>
<br><em>Average price of oil:</em>
<br>Energy Information Administration
<br>
<br><em>Interest rate on 30-year fixed mortgage:</em>
<br>Freddie Mac
<br>
<br><em>Metro area home price growth:</em>
<br>Case-Shiller Index
<br>
<br><em>Metro area unemployment rates:</em>
<br>U.S. Bureau of Labor Statistics
<br>
<br><em>U.S. combat fatalities, Iraq and Afghanistan:</em>
<br>icasualties.org
<br>
<br><em>Approval ratings of president and Congress:
<br></em>Gallup
<br>
<br><em>Percent of Americans "satisfied with the way things are":
<br></em>Gallup
<br>
<br>
<br></p></div></div></p><div>
		<h4>
			Authors
		</h4><ul>
			<li><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/experts/berubea?view=bio">Alan Berube</a></li><li><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/experts/dynank?view=bio">Karen Dynan</a></li><li><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/experts/lombardid?view=bio">Domenico Lombardi</a></li>
		</ul>
	</div><div>
		Publication: The Brookings Institution and The Washington Post
	</div><div>
		Image Source: Â© Mike Blake / Reuters
	</div>
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<feedburner:origLink>http://www.brookings.edu/research/papers/2011/02/13-recovery-renewal?rssid=How+Were+Doing</feedburner:origLink><guid isPermaLink="false">{0B98CE81-51FB-4836-A77E-4EBB0E071AAC}</guid><link>http://webfeeds.brookings.edu/~/65487236/0/brookingsrss/series/howweredoing~How-Were-Doing-Compared-to-the-Rest-of-the-World</link><title>How We're Doing Compared to the Rest of the World</title><description><![CDATA[<div>
	<img src="http://www.brookings.edu/~/media/research/images/e/ea%20ee/earth_lights_16x9.jpg?w=120" alt="" border="0" /><br /><p><strong>Index #7: Last Four Decades</strong> <br><br>In the past month, President Obama has pressed the autocratic president of our most important Arab ally to heed the demands of his people and step down, established a workman-like relationship with China's president, and delivered a State of the Union address that sought to "win the future." Taken together, these critical events highlight the complexity of America's global leadership dilemma: whether to cooperate or to compete; whether to partner with some autocrats while pressuring others. Over the past three decades, American presidents have found their ability to deal with these dilemmas affected by the shifting balances of relative power in the international system. In the seventh "How We're Doing" Index, experts at the Brookings Institution explored some of the key data behind our leading partners and competitors.  &lt;not-mobile message=""&gt;  <a href="#story">Continue reading below chart »</a> &lt;/not-mobile&gt;<br><br><b>Related Materials:</b> <br><a href="http://www.brookings.edu/series/how-were-doing" name="&lid={567D8757-3819-4EDA-8E93-502A0BFAE072}&lpos=loc:body">Past How We're Doing indexes »<br></a></p><p>&lt;not-mobile message="** To see the full indicator chart, please visit brookings.edu on your desktop **"&gt; <!-- INSERT CHART HTML BELOW THIS LINE   --><!-- =================================== --><div class="interactive_table"><div class="interactive_table"><!-- Table 1 Begins Here--><h2>"General Welfare"</h2><div class="interactive_table">
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="person" valign="top"><div class="content"><p><b>1980</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>1990</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2000</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010</b></p></div></td></tr>
<tr>
<td class="first label"><b>U.S. population (thousands)</b></td>
<td class="number lightblue" valign="top"><div class="content">229,469</div></td>
<td class="number lightblue" valign="top"><div class="content">254,865</div></td>
<td class="number lightblue" valign="top"><div class="content">287,842</div></td>
<td class="number lightblue" valign="top"><div class="content">317,641</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">China</div></td>
<td class="number white" valign="top"><div class="content">980,929</div></td>
<td class="number white" valign="top"><div class="content">1,142,090</div></td>
<td class="number white" valign="top"><div class="content">1,266,954</div></td>
<td class="number white" valign="top"><div class="content">1,354,146</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">India</div></td>
<td class="number white" valign="top"><div class="content">692,637</div></td>
<td class="number white" valign="top"><div class="content">862,162</div></td>
<td class="number white" valign="top"><div class="content">1,042,590</div></td>
<td class="number white" valign="top"><div class="content">1,214,464</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">European Union</div></td>
<td class="number white" valign="top"><div class="content">458,130</div></td>
<td class="number white" valign="top"><div class="content">471,271</div></td>
<td class="number white" valign="top"><div class="content">481,403</div></td>
<td class="number white" valign="top"><div class="content">501,103</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Brazil</div></td>
<td class="number white" valign="top"><div class="content">118,563</div></td>
<td class="number white" valign="top"><div class="content">146,593</div></td>
<td class="number white" valign="top"><div class="content">171,280</div></td>
<td class="number white" valign="top"><div class="content">193,253</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Russia</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">147,700</div></td>
<td class="number white" valign="top"><div class="content">144,800</div></td>
<td class="number white" valign="top"><div class="content">140,367</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Mexico</div></td>
<td class="number white" valign="top"><div class="content">67,570</div></td>
<td class="number white" valign="top"><div class="content">83,226</div></td>
<td class="number white" valign="top"><div class="content">97,966</div></td>
<td class="number white" valign="top"><div class="content">108,627</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Egypt</div></td>
<td class="number white" valign="top"><div class="content">40,554</div></td>
<td class="number white" valign="top"><div class="content">51,360</div></td>
<td class="number white" valign="top"><div class="content">63,300</div></td>
<td class="number white" valign="top"><div class="content">78,238</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Turkey</div></td>
<td class="number white" valign="top"><div class="content">42,171</div></td>
<td class="number white" valign="top"><div class="content">52,436</div></td>
<td class="number white" valign="top"><div class="content">62,762</div></td>
<td class="number white" valign="top"><div class="content">71,428</div></td></tr>
<tr>
<td class="first label"><div class="content"><b>U.S. population growth (decade average)</b></div></td>
<td class="number lightblue" valign="top"><div class="content">1.1%</div></td>
<td class="number lightblue" valign="top"><div class="content">0.9.%</div></td>
<td class="number lightblue" valign="top"><div class="content">1.2%</div></td>
<td class="number lightblue" valign="top"><div class="content">1.0%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Russia</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">-0.2%</div></td>
<td class="number white" valign="top"><div class="content">-0.3%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">European Union</div></td>
<td class="number white" valign="top"><div class="content">0.5%</div></td>
<td class="number white" valign="top"><div class="content">0.3%</div></td>
<td class="number white" valign="top"><div class="content">0.2%</div></td>
<td class="number white" valign="top"><div class="content">0.4%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">China</div></td>
<td class="number white" valign="top"><div class="content">1.8%</div></td>
<td class="number white" valign="top"><div class="content">1.5%</div></td>
<td class="number white" valign="top"><div class="content">1.0%</div></td>
<td class="number white" valign="top"><div class="content">0.7%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Mexico</div></td>
<td class="number white" valign="top"><div class="content">3.0%</div></td>
<td class="number white" valign="top"><div class="content">2.1%</div></td>
<td class="number white" valign="top"><div class="content">1.7%</div></td>
<td class="number white" valign="top"><div class="content">1.2%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Brazil</div></td>
<td class="number white" valign="top"><div class="content">2.4%</div></td>
<td class="number white" valign="top"><div class="content">2.1%</div></td>
<td class="number white" valign="top"><div class="content">1.6%</div></td>
<td class="number white" valign="top"><div class="content">1.2%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Turkey</div></td>
<td class="number white" valign="top"><div class="content">2.4%</div></td>
<td class="number white" valign="top"><div class="content">2.2%</div></td>
<td class="number white" valign="top"><div class="content">1.8%</div></td>
<td class="number white" valign="top"><div class="content">1.3%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">India</div></td>
<td class="number white" valign="top"><div class="content">2.3%</div></td>
<td class="number white" valign="top"><div class="content">2.4%</div></td>
<td class="number white" valign="top"><div class="content">1.7%</div></td>
<td class="number white" valign="top"><div class="content">1.5%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Egypt</div></td>
<td class="number white" valign="top"><div class="content">2.2%</div></td>
<td class="number white" valign="top"><div class="content">2.6%</div></td>
<td class="number white" valign="top"><div class="content">2.2%</div></td>
<td class="number white" valign="top"><div class="content">1.9%</div></td></tr>
<tr>
<td class="first label"><div class="content"><b>U.S. real GDP (per capita, 2005 dollars )</b></div></td>
<td class="number lightblue" valign="top"><div class="content">$25,531</div></td>
<td class="number lightblue" valign="top"><div class="content">$31,926</div></td>
<td class="number lightblue" valign="top"><div class="content">$39,578</div></td>
<td class="number lightblue" valign="top"><div class="content">$41,761<br>(2009 data)</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">European Union</div></td>
<td class="number white" valign="top"><div class="content">$16,731</div></td>
<td class="number white" valign="top"><div class="content">$20,583</div></td>
<td class="number white" valign="top"><div class="content">$24,929</div></td>
<td class="number white" valign="top"><div class="content">$27,333</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Russia</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">$12,626</div></td>
<td class="number white" valign="top"><div class="content">$8,613</div></td>
<td class="number white" valign="top"><div class="content">$13,611</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Mexico</div></td>
<td class="number white" valign="top"><div class="content">$10,422</div></td>
<td class="number white" valign="top"><div class="content">$10,121</div></td>
<td class="number white" valign="top"><div class="content">$12,095</div></td>
<td class="number white" valign="top"><div class="content">$12,429</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Turkey</div></td>
<td class="number white" valign="top"><div class="content">$5,694</div></td>
<td class="number white" valign="top"><div class="content">$7,806</div></td>
<td class="number white" valign="top"><div class="content">$9,409</div></td>
<td class="number white" valign="top"><div class="content">$11,209</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Brazil</div></td>
<td class="number white" valign="top"><div class="content">$7,572</div></td>
<td class="number white" valign="top"><div class="content">$7,179</div></td>
<td class="number white" valign="top"><div class="content">$7,921</div></td>
<td class="number white" valign="top"><div class="content">$9,455</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">China</div></td>
<td class="number white" valign="top"><div class="content">$524</div></td>
<td class="number white" valign="top"><div class="content">$1,101</div></td>
<td class="number white" valign="top"><div class="content">$2,667</div></td>
<td class="number white" valign="top"><div class="content">$6,200</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Egypt</div></td>
<td class="number white" valign="top"><div class="content">$2,432</div></td>
<td class="number white" valign="top"><div class="content">$3,185</div></td>
<td class="number white" valign="top"><div class="content">$3,992</div></td>
<td class="number white" valign="top"><div class="content">$5,151</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">India</div></td>
<td class="number white" valign="top"><div class="content">$899</div></td>
<td class="number white" valign="top"><div class="content">$1,249</div></td>
<td class="number white" valign="top"><div class="content">$1,776</div></td>
<td class="number white" valign="top"><div class="content">$2,970</div></td></tr>
<tr>
<td class="first label"><div class="content"><b>U.S. inflation rate (decade average)</b></div></td>
<td class="number lightblue" valign="top"><div class="content">7.9%</div></td>
<td class="number lightblue" valign="top"><div class="content">4.7%</div></td>
<td class="number lightblue" valign="top"><div class="content">2.8%</div></td>
<td class="number lightblue" valign="top"><div class="content">2.4%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">China</div></td>
<td class="number white" valign="top"><div class="content">1.7%</div></td>
<td class="number white" valign="top"><div class="content">7.2%</div></td>
<td class="number white" valign="top"><div class="content">7.5%</div></td>
<td class="number white" valign="top"><div class="content">2.2%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">European Union</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">10.5%</div></td>
<td class="number white" valign="top"><div class="content">6.8%</div></td>
<td class="number white" valign="top"><div class="content">2.4%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Mexico</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">69.1%</div></td>
<td class="number white" valign="top"><div class="content">18.7%</div></td>
<td class="number white" valign="top"><div class="content">4.7%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">India</div></td>
<td class="number white" valign="top"><div class="content">8.0%</div></td>
<td class="number white" valign="top"><div class="content">8.9%</div></td>
<td class="number white" valign="top"><div class="content">9.1%</div></td>
<td class="number white" valign="top"><div class="content">6.5%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Brazil</div></td>
<td class="number white" valign="top"><div class="content">41.7%</div></td>
<td class="number white" valign="top"><div class="content">613.8%</div></td>
<td class="number white" valign="top"><div class="content">560.7%</div></td>
<td class="number white" valign="top"><div class="content">6.7%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Egypt</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">17.3%</div></td>
<td class="number white" valign="top"><div class="content">9.0%</div></td>
<td class="number white" valign="top"><div class="content">8.0%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Russia</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">197.1%</div></td>
<td class="number white" valign="top"><div class="content">12.5%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Turkey</div></td>
<td class="number white" valign="top"><div class="content">34.5%</div></td>
<td class="number white" valign="top"><div class="content">46.4%</div></td>
<td class="number white" valign="top"><div class="content">76.4%</div></td>
<td class="number white" valign="top"><div class="content">18.5%</div></td></tr>
<tr>
<td class="first label"><div class="content"><b>U.S. unemployment rate</b></div></td>
<td class="number lightblue" valign="top"><div class="content">7.2%</div></td>
<td class="number lightblue" valign="top"><div class="content">5.6%</div></td>
<td class="number lightblue" valign="top"><div class="content">4.0%</div></td>
<td class="number lightblue" valign="top"><div class="content">9.3%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">China</div></td>
<td class="number white" valign="top"><div class="content">4.9%</div></td>
<td class="number white" valign="top"><div class="content">2.5%</div></td>
<td class="number white" valign="top"><div class="content">4.0%</div></td>
<td class="number white" valign="top"><div class="content">4.3%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Mexico</div></td>
<td class="number white" valign="top"><div class="content">1.2%</div></td>
<td class="number white" valign="top"><div class="content">2.7%</div></td>
<td class="number white" valign="top"><div class="content">2.2%</div></td>
<td class="number white" valign="top"><div class="content">5.4%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Brazil</div></td>
<td class="number white" valign="top"><div class="content">6.5%</div></td>
<td class="number white" valign="top"><div class="content">3.7%</div></td>
<td class="number white" valign="top"><div class="content">9.2%</div></td>
<td class="number white" valign="top"><div class="content">6.7%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Russia</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">10.6%</div></td>
<td class="number white" valign="top"><div class="content">7.5%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Egypt</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">8.0%</div></td>
<td class="number white" valign="top"><div class="content">9.0%</div></td>
<td class="number white" valign="top"><div class="content">8.1%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">European Union</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">8.3%<br>(1991 data) </div></td>
<td class="number white" valign="top"><div class="content">9.2%</div></td>
<td class="number white" valign="top"><div class="content">9.6%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">India</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">10.8%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Turkey</div></td>
<td class="number white" valign="top"><div class="content">7.2%</div></td>
<td class="number white" valign="top"><div class="content">8.0%</div></td>
<td class="number white" valign="top"><div class="content">6.6%</div></td>
<td class="number white" valign="top"><div class="content">14.1%<br>(2009 data) </div></td></tr>
<tr>
<td class="first label"><div class="content"><b>U.S. CO2 emissions (metric tons per capita</b>)</div></td>
<td class="number lightblue" valign="top"><div class="content">21.0</div></td>
<td class="number lightblue" valign="top"><div class="content">20.1</div></td>
<td class="number lightblue" valign="top"><div class="content">20.8</div></td>
<td class="number lightblue" valign="top"><div class="content">19.3<br>(2007 data)</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Russia</div></td>
<td class="number white" valign="top"><div class="content">15.5</div></td>
<td class="number white" valign="top"><div class="content">15.8</div></td>
<td class="number white" valign="top"><div class="content">9.9</div></td>
<td class="number white" valign="top"><div class="content">10.8</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">South Korea</div></td>
<td class="number white" valign="top"><div class="content">3.5</div></td>
<td class="number white" valign="top"><div class="content">5.6</div></td>
<td class="number white" valign="top"><div class="content">9.4</div></td>
<td class="number white" valign="top"><div class="content">10.4</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Japan</div></td>
<td class="number white" valign="top"><div class="content">8.6</div></td>
<td class="number white" valign="top"><div class="content">9.3</div></td>
<td class="number white" valign="top"><div class="content">9.7</div></td>
<td class="number white" valign="top"><div class="content">9.8</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">European Union</div></td>
<td class="number white" valign="top"><div class="content">9.9</div></td>
<td class="number white" valign="top"><div class="content">8.8</div></td>
<td class="number white" valign="top"><div class="content">8.1</div></td>
<td class="number white" valign="top"><div class="content">8.1</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">China</div></td>
<td class="number white" valign="top"><div class="content">1.5</div></td>
<td class="number white" valign="top"><div class="content">2.0</div></td>
<td class="number white" valign="top"><div class="content">2.3</div></td>
<td class="number white" valign="top"><div class="content">5.0</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Mexico</div></td>
<td class="number white" valign="top"><div class="content">4.1</div></td>
<td class="number white" valign="top"><div class="content">4.3</div></td>
<td class="number white" valign="top"><div class="content">4.0</div></td>
<td class="number white" valign="top"><div class="content">4.5</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Turkey</div></td>
<td class="number white" valign="top"><div class="content">1.6</div></td>
<td class="number white" valign="top"><div class="content">2.7</div></td>
<td class="number white" valign="top"><div class="content">3.2</div></td>
<td class="number white" valign="top"><div class="content">4.0</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">India</div></td>
<td class="number white" valign="top"><div class="content">1.5</div></td>
<td class="number white" valign="top"><div class="content">1.4</div></td>
<td class="number white" valign="top"><div class="content">1.9</div></td>
<td class="number white" valign="top"><div class="content">1.9</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Brazil</div></td>
<td class="number white" valign="top"><div class="content">0.4</div></td>
<td class="number white" valign="top"><div class="content">0.7</div></td>
<td class="number white" valign="top"><div class="content">1.0</div></td>
<td class="number white" valign="top"><div class="content">1.4</div></td></tr>
<tr>
<td class="first label"><div class="content"><b>U.S. current account balance (decade average)</b></div></td>
<td class="number lightblue" valign="top"><div class="content">0.0%</div></td>
<td class="number lightblue" valign="top"><div class="content">-1.9%</div></td>
<td class="number lightblue" valign="top"><div class="content">-1.8%</div></td>
<td class="number lightblue" valign="top"><div class="content">-4.6%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">European Union</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">-0.2%</div></td>
<td class="number white" valign="top"><div class="content">-0.1%</div></td>
<td class="number white" valign="top"><div class="content">-0.2%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Brazil</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">-2.1%</div></td>
<td class="number white" valign="top"><div class="content">-2.0%</div></td>
<td class="number white" valign="top"><div class="content">-0.6%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">India</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">-1.9%</div></td>
<td class="number white" valign="top"><div class="content">-1.1%</div></td>
<td class="number white" valign="top"><div class="content">-0.8%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Egypt</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">-4.1%</div></td>
<td class="number white" valign="top"><div class="content">1.2%</div></td>
<td class="number white" valign="top"><div class="content">1.0%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Mexico</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">-0.7%</div></td>
<td class="number white" valign="top"><div class="content">-3.5%</div></td>
<td class="number white" valign="top"><div class="content">-1.1%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Turkey</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">-1.0%</div></td>
<td class="number white" valign="top"><div class="content">-1.1%</div></td>
<td class="number white" valign="top"><div class="content">-3.4%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">China</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">0.0%</div></td>
<td class="number white" valign="top"><div class="content">1.5%</div></td>
<td class="number white" valign="top"><div class="content">5.8%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Russia</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">4.3%</div></td>
<td class="number white" valign="top"><div class="content">7.9%</div></td></tr></tbody></table><!-- Table 2 Begins Here --><h2>"Common Defense"</h2>
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="person" valign="top"><div class="content"><p><b>1980</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>1990</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2000</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010</b></p></div></td></tr>
<tr>
<td class="first label"><div class="content"><b>U.S. military spending (billions of dollars)</b></div></td>
<td class="number lightblue" valign="top"><div class="content">--</div></td>
<td class="number lightblue" valign="top"><div class="content">505</div></td>
<td class="number lightblue" valign="top"><div class="content">377</div></td>
<td class="number lightblue" valign="top"><div class="content">663<br>(2009 data)</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">China</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">18</div></td>
<td class="number white" valign="top"><div class="content">31</div></td>
<td class="number white" valign="top"><div class="content">98</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Russia</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">266</div></td>
<td class="number white" valign="top"><div class="content">30</div></td>
<td class="number white" valign="top"><div class="content">61</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">India</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">15</div></td>
<td class="number white" valign="top"><div class="content">22</div></td>
<td class="number white" valign="top"><div class="content">37</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Brazil</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">12</div></td>
<td class="number white" valign="top"><div class="content">20</div></td>
<td class="number white" valign="top"><div class="content">27</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Turkey</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">14</div></td>
<td class="number white" valign="top"><div class="content">22</div></td>
<td class="number white" valign="top"><div class="content">19</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Mexico</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">2</div></td>
<td class="number white" valign="top"><div class="content">4</div></td>
<td class="number white" valign="top"><div class="content">5</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Egypt</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">3</div></td>
<td class="number white" valign="top"><div class="content">4</div></td>
<td class="number white" valign="top"><div class="content">4</div></td></tr>
<tr>
<td class="first label"><div class="content"><b>U.S. army (# of troops)</b></div></td>
<td class="number lightblue" valign="top"><div class="content">774,000</div></td>
<td class="number lightblue" valign="top"><div class="content">761,100</div></td>
<td class="number lightblue" valign="top"><div class="content">471,000</div></td>
<td class="number lightblue" valign="top"><div class="content">662,232</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">China</div></td>
<td class="number white" valign="top"><div class="content">3,600,000</div></td>
<td class="number white" valign="top"><div class="content">2,300,000</div></td>
<td class="number white" valign="top"><div class="content">1,700,000</div></td>
<td class="number white" valign="top"><div class="content">1,600,000</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">India</div></td>
<td class="number white" valign="top"><div class="content">944,000</div></td>
<td class="number white" valign="top"><div class="content">1,100,000</div></td>
<td class="number white" valign="top"><div class="content">1,100,000</div></td>
<td class="number white" valign="top"><div class="content">1,129,900</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">South Korea</div></td>
<td class="number white" valign="top"><div class="content">520,000</div></td>
<td class="number white" valign="top"><div class="content">650,000</div></td>
<td class="number white" valign="top"><div class="content">560,000</div></td>
<td class="number white" valign="top"><div class="content">560,000</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Egypt</div></td>
<td class="number white" valign="top"><div class="content">320,000</div></td>
<td class="number white" valign="top"><div class="content">320,000</div></td>
<td class="number white" valign="top"><div class="content">320,000</div></td>
<td class="number white" valign="top"><div class="content">340,000</div></td></tr></tbody></table><!-- Table 3 Begins Here --><h2>"Blessings of Liberty"</h2>
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="person" valign="top"><div class="content"><p><b>1980</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>1990</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2000</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010</b></p></div></td></tr>
<tr>
<td class="first label"><div class="content"><b>U.S. Freedom House Ratings</b><br>(Political Rights, Civil Liberties, 1-7 scale)</div></td>
<td class="number lightblue" valign="top"><div class="content">1,1</div></td>
<td class="number lightblue" valign="top"><div class="content">1,1</div></td>
<td class="number lightblue" valign="top"><div class="content">1,1</div></td>
<td class="number lightblue" valign="top"><div class="content">1,1</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Brazil</div></td>
<td class="number white" valign="top"><div class="content">4,3</div></td>
<td class="number white" valign="top"><div class="content">2,2</div></td>
<td class="number white" valign="top"><div class="content">3,3</div></td>
<td class="number white" valign="top"><div class="content">2,2</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">India ratings</div></td>
<td class="number white" valign="top"><div class="content">2,2</div></td>
<td class="number white" valign="top"><div class="content">2,3</div></td>
<td class="number white" valign="top"><div class="content">2,3</div></td>
<td class="number white" valign="top"><div class="content">2,3</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Mexico</div></td>
<td class="number white" valign="top"><div class="content">3,4</div></td>
<td class="number white" valign="top"><div class="content">4,4</div></td>
<td class="number white" valign="top"><div class="content">2,3</div></td>
<td class="number white" valign="top"><div class="content">2,3</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Turkey</div></td>
<td class="number white" valign="top"><div class="content">5,5</div></td>
<td class="number white" valign="top"><div class="content">2,4</div></td>
<td class="number white" valign="top"><div class="content">4,5</div></td>
<td class="number white" valign="top"><div class="content">3,3</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Egypt</div></td>
<td class="number white" valign="top"><div class="content">5,5</div></td>
<td class="number white" valign="top"><div class="content">5,4</div></td>
<td class="number white" valign="top"><div class="content">6,5</div></td>
<td class="number white" valign="top"><div class="content">6,5</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Russia</div></td>
<td class="number white" valign="top"><div class="content">6,7</div></td>
<td class="number white" valign="top"><div class="content">5,4</div></td>
<td class="number white" valign="top"><div class="content">5,5</div></td>
<td class="number white" valign="top"><div class="content">6,5</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">China</div></td>
<td class="number white" valign="top"><div class="content">6,6</div></td>
<td class="number white" valign="top"><div class="content">7,7</div></td>
<td class="number white" valign="top"><div class="content">7,6</div></td>
<td class="number white" valign="top"><div class="content">7,6</div></td></tr>
<tr>
<td class="first label"><div class="content"><b>U.S. presidential approval rating (yearly avg.)</b></div></td>
<td class="number lightblue" valign="top"><div class="content">40.6%</div></td>
<td class="number lightblue" valign="top"><div class="content">66.3%</div></td>
<td class="number lightblue" valign="top"><div class="content">59.9%</div></td>
<td class="number lightblue" valign="top"><div class="content">46.8%</div></td></tr><!--
<tr>
<td class="first label"><div class="content"><b>U.S. Congress approval rating</b></div></td>
<td class="number lightblue" valign="top"><div class="content">25.0% (June 1980)</div></td>
<td class="number lightblue" valign="top"><div class="content">25.3% (Oct-Nov 1990)</div></td>
<td class="number lightblue" valign="top"><div class="content">48.6% (yearly avg.)</div></td>
<td class="number lightblue" valign="top"><div class="content">19.2% (yearly avg.)</div></td></tr> --></tbody></table></div><!-- <p><img alt="" src="/i/interactivetable/key.gif" /> </p>=================================== --><!-- INSERT CHART HTML ABOVETHIS LINE    --><!-- ===================================  ============================== --><!-- ============================== --><!-- NARRATIVE CONTENT RESUMES HERE --><!-- ============================== --><!-- ============================== --><!-- ============================== --><a name="story"></a><a href="#sources">See data sources »</a> <br>&lt;/not-mobile&gt;<br>During the state visit by Chinese President Hu Jintao, it was easy to imagine that world politics and global economics had been reduced to a two-power game between a democratic America and an authoritarian China. But the reality is much broader. <br><br>Despite talk of American decline, the United States remains the world's largest national economy, at over $14 trillion per year, with a very high per capita income: $41,000. Right next to us is the oft-ignored European Union. The combined economy of their 27 member countries is actually $2 trillion per year larger than ours. And while newer members from Eastern Europe are on average poorer, they will continue to grow. Overall, the Western alliance still leads. <br><br>China's extraordinary transformation, with its advanced infrastructure and rising living standards, is well known. But since 1980, emerging democracies such as Brazil, Mexico, South Korea and Turkey have made their own great leaps forward. China's average income per capita - at just over $6,000 - is still only about half that of Mexico and Turkey and one-seventh that of the United States. In the past decade India, too, has made dramatic reforms and is quickly making up ground. <br><br>Meanwhile, non-democracies with heavily constrained market economies, such as Egypt, continue to falter with low economic output, high inflation and high population growth. In all likelihood, emerging and established democratic powers will shape global economics and politics well into the next century. Unless the Arab world makes similar reforms, it will be left further behind. <br><br>Some of this is simply a matter of demographics. Since 1980, the U.S. population has grown about 36 percent, adding more than 80 million people through immigration and a relatively high birthrate. That's about four times as fast as the E.U. and Japanese rates over that time; the U.S. growth rate has been 50 percent faster than China's over the past decade. Indeed, China's population growth rate of 0.7 percent will eventually become a significant constraint on its economic growth. <br><br>The populations of emerging democracies such as India and Mexico have grown much faster. Provided they can overcome structural and governance challenges, their fast-growing economies will occupy an ever greater share of global gross domestic product. The biggest population problems come from countries such as Egypt, whose nearly 2 percent growth rate is too fast for its sputtering economy to provide for the employment needs of an increasingly young workforce. <br><br>What is critical for all these countries - and especially for the United States - is to find greater balance in exports and imports. Trade liberalization has, by and large, been good for all countries, helping to lift billions out of poverty. Still, growing trade imbalances encourage financial instability and undermine sustainable job creation. And democracies have a hard time achieving domestic consensus on how to move forward. <br><br>And all of this growth has had an impact on the environment. Total greenhouse gas emissions have grown more than 50 percent, from about 19 billion tons of CO2 in 1980 to more than 30 billion tons today. Most of these emissions have come from industrial economies, with the United States making the largest contribution. But whereas emissions are leveling off in the industrial world, they continue to rise dramatically in nearly all emerging powers. <br><br>How does economic growth translate into military power? The United States still has the world's largest military by far. China has replaced Russia as the second-largest military by spending, having grown fivefold, though its defense spending is still a small fraction of the United States'. Importantly, all countries seem to be doing more with fewer troops. In fact, modernization has meant that, as a percentage of GDP, U.S. defense spending has increased only slightly, while China's spending has actually dipped. With the growing U.S. deficit and record debt level, compared with China's dramatic surpluses, it will be harder to sustain current levels of U.S. defense spending and easier for China to increase its military capabilities. <br><br>What does this all add up to? The United States remains the world's leading nation - economically, politically and militarily. New partners and competitors are rising fast but in complicated ways. Most of these nations are market democracies, with civilian control of the military. The real question is not whether they will catch up - many will - but whether the United States can continue to grow in a way that lifts all boats, and whether it can help shape an emerging global order that avoids conflict and encourages greater freedom.  <br><br><strong>See also:</strong> <br>» <a href="/metro/stateofmetroamerica.aspx">State of Metropolitan America</a>—portraying the demographic and social trends that shape our nation's metropolitan areas <br>» <a href="/governance/govwatch.aspx">GovWatch</a>—tracking the progress and performance of our institutions in economic recovery <br>» <a href="/metro/MetroMonitor.aspx">MetroMonitor</a>—a barometer of the health of America’s 100 largest metropolitan economies<br><br><p><a name="sources"></a></p><h2>Sources:</h2><p><p><p><p><em>Population: <br></em>World Bank Development Indicators, International Monetary Fund World Economic Outlook. <br><br><em>Population Growth Rate: <br></em>International Monetary Fund world Economic Outlook. <br><br><em>Real GDP per capita: <br></em>World Bank Development Indicators. <br><br><em>Inflation: <br></em>International Monetary Fund World Economic Outlook. <br><br><em>Unemployment: <br></em>International Monetary Fund World Economic Outlook. <br><br><em>CO2 Emissions:</em> <br>World Bank Development Indicators. <br><br><em>Current Account Balance:</em> <br>International Monetary Fund World Economic Outlook. <br><br><em>Military Spending: <br></em>Stockholm International Peace Research Institute. <br><br><em>Troop Levels:</em> <br>"Military Balance," International Security &amp; Counter Terrorism Reference Center. <br><br><em>Freedom House Ratings:</em> <br>Freedom in the World Annual Reports, Freedom House. <br><br><em>Presidential/Congressional Approval ratings:</em> <br>Gallup.</p></div></div></p><div>
		<h4>
			Authors
		</h4><ul>
			<li><a href="http://www.brookings.edu/experts/antholisw?view=bio">William J. Antholis</a></li><li><a href="http://www.brookings.edu/experts/indykm?view=bio">Martin S. Indyk</a></li>
		</ul>
	</div><div>
		Publication: The Brookings Institution and The Washington Post
	</div><div>
		Image Source: © NASA NASA / Reuters
	</div>
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</description><pubDate>Sun, 13 Feb 2011 09:47:00 -0500</pubDate><dc:creator>William J. Antholis and Martin S. Indyk</dc:creator><content:encoded><![CDATA[<div>
	<img src="http://www.brookings.edu/~/media/research/images/e/ea%20ee/earth_lights_16x9.jpg?w=120" alt="" border="0" />
<br><p><strong>Index #7: Last Four Decades</strong> 
<br>
<br>In the past month, President Obama has pressed the autocratic president of our most important Arab ally to heed the demands of his people and step down, established a workman-like relationship with China's president, and delivered a State of the Union address that sought to "win the future." Taken together, these critical events highlight the complexity of America's global leadership dilemma: whether to cooperate or to compete; whether to partner with some autocrats while pressuring others. Over the past three decades, American presidents have found their ability to deal with these dilemmas affected by the shifting balances of relative power in the international system. In the seventh "How We're Doing" Index, experts at the Brookings Institution explored some of the key data behind our leading partners and competitors.  &lt;not-mobile message=""&gt;  <a href="#story">Continue reading below chart »</a> &lt;/not-mobile&gt;
<br>
<br><b>Related Materials:</b> 
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/series/how-were-doing" name="&lid={567D8757-3819-4EDA-8E93-502A0BFAE072}&lpos=loc:body">Past How We're Doing indexes »
<br></a></p><p>&lt;not-mobile message="** To see the full indicator chart, please visit brookings.edu on your desktop **"&gt; <!-- INSERT CHART HTML BELOW THIS LINE   --><!-- =================================== --><div class="interactive_table"><div class="interactive_table"><!-- Table 1 Begins Here--><h2>"General Welfare"</h2><div class="interactive_table">
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="person" valign="top"><div class="content"><p><b>1980</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>1990</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2000</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010</b></p></div></td></tr>
<tr>
<td class="first label"><b>U.S. population (thousands)</b></td>
<td class="number lightblue" valign="top"><div class="content">229,469</div></td>
<td class="number lightblue" valign="top"><div class="content">254,865</div></td>
<td class="number lightblue" valign="top"><div class="content">287,842</div></td>
<td class="number lightblue" valign="top"><div class="content">317,641</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">China</div></td>
<td class="number white" valign="top"><div class="content">980,929</div></td>
<td class="number white" valign="top"><div class="content">1,142,090</div></td>
<td class="number white" valign="top"><div class="content">1,266,954</div></td>
<td class="number white" valign="top"><div class="content">1,354,146</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">India</div></td>
<td class="number white" valign="top"><div class="content">692,637</div></td>
<td class="number white" valign="top"><div class="content">862,162</div></td>
<td class="number white" valign="top"><div class="content">1,042,590</div></td>
<td class="number white" valign="top"><div class="content">1,214,464</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">European Union</div></td>
<td class="number white" valign="top"><div class="content">458,130</div></td>
<td class="number white" valign="top"><div class="content">471,271</div></td>
<td class="number white" valign="top"><div class="content">481,403</div></td>
<td class="number white" valign="top"><div class="content">501,103</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Brazil</div></td>
<td class="number white" valign="top"><div class="content">118,563</div></td>
<td class="number white" valign="top"><div class="content">146,593</div></td>
<td class="number white" valign="top"><div class="content">171,280</div></td>
<td class="number white" valign="top"><div class="content">193,253</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Russia</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">147,700</div></td>
<td class="number white" valign="top"><div class="content">144,800</div></td>
<td class="number white" valign="top"><div class="content">140,367</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Mexico</div></td>
<td class="number white" valign="top"><div class="content">67,570</div></td>
<td class="number white" valign="top"><div class="content">83,226</div></td>
<td class="number white" valign="top"><div class="content">97,966</div></td>
<td class="number white" valign="top"><div class="content">108,627</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Egypt</div></td>
<td class="number white" valign="top"><div class="content">40,554</div></td>
<td class="number white" valign="top"><div class="content">51,360</div></td>
<td class="number white" valign="top"><div class="content">63,300</div></td>
<td class="number white" valign="top"><div class="content">78,238</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Turkey</div></td>
<td class="number white" valign="top"><div class="content">42,171</div></td>
<td class="number white" valign="top"><div class="content">52,436</div></td>
<td class="number white" valign="top"><div class="content">62,762</div></td>
<td class="number white" valign="top"><div class="content">71,428</div></td></tr>
<tr>
<td class="first label"><div class="content"><b>U.S. population growth (decade average)</b></div></td>
<td class="number lightblue" valign="top"><div class="content">1.1%</div></td>
<td class="number lightblue" valign="top"><div class="content">0.9.%</div></td>
<td class="number lightblue" valign="top"><div class="content">1.2%</div></td>
<td class="number lightblue" valign="top"><div class="content">1.0%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Russia</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">-0.2%</div></td>
<td class="number white" valign="top"><div class="content">-0.3%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">European Union</div></td>
<td class="number white" valign="top"><div class="content">0.5%</div></td>
<td class="number white" valign="top"><div class="content">0.3%</div></td>
<td class="number white" valign="top"><div class="content">0.2%</div></td>
<td class="number white" valign="top"><div class="content">0.4%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">China</div></td>
<td class="number white" valign="top"><div class="content">1.8%</div></td>
<td class="number white" valign="top"><div class="content">1.5%</div></td>
<td class="number white" valign="top"><div class="content">1.0%</div></td>
<td class="number white" valign="top"><div class="content">0.7%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Mexico</div></td>
<td class="number white" valign="top"><div class="content">3.0%</div></td>
<td class="number white" valign="top"><div class="content">2.1%</div></td>
<td class="number white" valign="top"><div class="content">1.7%</div></td>
<td class="number white" valign="top"><div class="content">1.2%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Brazil</div></td>
<td class="number white" valign="top"><div class="content">2.4%</div></td>
<td class="number white" valign="top"><div class="content">2.1%</div></td>
<td class="number white" valign="top"><div class="content">1.6%</div></td>
<td class="number white" valign="top"><div class="content">1.2%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Turkey</div></td>
<td class="number white" valign="top"><div class="content">2.4%</div></td>
<td class="number white" valign="top"><div class="content">2.2%</div></td>
<td class="number white" valign="top"><div class="content">1.8%</div></td>
<td class="number white" valign="top"><div class="content">1.3%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">India</div></td>
<td class="number white" valign="top"><div class="content">2.3%</div></td>
<td class="number white" valign="top"><div class="content">2.4%</div></td>
<td class="number white" valign="top"><div class="content">1.7%</div></td>
<td class="number white" valign="top"><div class="content">1.5%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Egypt</div></td>
<td class="number white" valign="top"><div class="content">2.2%</div></td>
<td class="number white" valign="top"><div class="content">2.6%</div></td>
<td class="number white" valign="top"><div class="content">2.2%</div></td>
<td class="number white" valign="top"><div class="content">1.9%</div></td></tr>
<tr>
<td class="first label"><div class="content"><b>U.S. real GDP (per capita, 2005 dollars )</b></div></td>
<td class="number lightblue" valign="top"><div class="content">$25,531</div></td>
<td class="number lightblue" valign="top"><div class="content">$31,926</div></td>
<td class="number lightblue" valign="top"><div class="content">$39,578</div></td>
<td class="number lightblue" valign="top"><div class="content">$41,761
<br>(2009 data)</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">European Union</div></td>
<td class="number white" valign="top"><div class="content">$16,731</div></td>
<td class="number white" valign="top"><div class="content">$20,583</div></td>
<td class="number white" valign="top"><div class="content">$24,929</div></td>
<td class="number white" valign="top"><div class="content">$27,333</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Russia</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">$12,626</div></td>
<td class="number white" valign="top"><div class="content">$8,613</div></td>
<td class="number white" valign="top"><div class="content">$13,611</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Mexico</div></td>
<td class="number white" valign="top"><div class="content">$10,422</div></td>
<td class="number white" valign="top"><div class="content">$10,121</div></td>
<td class="number white" valign="top"><div class="content">$12,095</div></td>
<td class="number white" valign="top"><div class="content">$12,429</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Turkey</div></td>
<td class="number white" valign="top"><div class="content">$5,694</div></td>
<td class="number white" valign="top"><div class="content">$7,806</div></td>
<td class="number white" valign="top"><div class="content">$9,409</div></td>
<td class="number white" valign="top"><div class="content">$11,209</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Brazil</div></td>
<td class="number white" valign="top"><div class="content">$7,572</div></td>
<td class="number white" valign="top"><div class="content">$7,179</div></td>
<td class="number white" valign="top"><div class="content">$7,921</div></td>
<td class="number white" valign="top"><div class="content">$9,455</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">China</div></td>
<td class="number white" valign="top"><div class="content">$524</div></td>
<td class="number white" valign="top"><div class="content">$1,101</div></td>
<td class="number white" valign="top"><div class="content">$2,667</div></td>
<td class="number white" valign="top"><div class="content">$6,200</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Egypt</div></td>
<td class="number white" valign="top"><div class="content">$2,432</div></td>
<td class="number white" valign="top"><div class="content">$3,185</div></td>
<td class="number white" valign="top"><div class="content">$3,992</div></td>
<td class="number white" valign="top"><div class="content">$5,151</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">India</div></td>
<td class="number white" valign="top"><div class="content">$899</div></td>
<td class="number white" valign="top"><div class="content">$1,249</div></td>
<td class="number white" valign="top"><div class="content">$1,776</div></td>
<td class="number white" valign="top"><div class="content">$2,970</div></td></tr>
<tr>
<td class="first label"><div class="content"><b>U.S. inflation rate (decade average)</b></div></td>
<td class="number lightblue" valign="top"><div class="content">7.9%</div></td>
<td class="number lightblue" valign="top"><div class="content">4.7%</div></td>
<td class="number lightblue" valign="top"><div class="content">2.8%</div></td>
<td class="number lightblue" valign="top"><div class="content">2.4%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">China</div></td>
<td class="number white" valign="top"><div class="content">1.7%</div></td>
<td class="number white" valign="top"><div class="content">7.2%</div></td>
<td class="number white" valign="top"><div class="content">7.5%</div></td>
<td class="number white" valign="top"><div class="content">2.2%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">European Union</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">10.5%</div></td>
<td class="number white" valign="top"><div class="content">6.8%</div></td>
<td class="number white" valign="top"><div class="content">2.4%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Mexico</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">69.1%</div></td>
<td class="number white" valign="top"><div class="content">18.7%</div></td>
<td class="number white" valign="top"><div class="content">4.7%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">India</div></td>
<td class="number white" valign="top"><div class="content">8.0%</div></td>
<td class="number white" valign="top"><div class="content">8.9%</div></td>
<td class="number white" valign="top"><div class="content">9.1%</div></td>
<td class="number white" valign="top"><div class="content">6.5%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Brazil</div></td>
<td class="number white" valign="top"><div class="content">41.7%</div></td>
<td class="number white" valign="top"><div class="content">613.8%</div></td>
<td class="number white" valign="top"><div class="content">560.7%</div></td>
<td class="number white" valign="top"><div class="content">6.7%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Egypt</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">17.3%</div></td>
<td class="number white" valign="top"><div class="content">9.0%</div></td>
<td class="number white" valign="top"><div class="content">8.0%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Russia</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">197.1%</div></td>
<td class="number white" valign="top"><div class="content">12.5%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Turkey</div></td>
<td class="number white" valign="top"><div class="content">34.5%</div></td>
<td class="number white" valign="top"><div class="content">46.4%</div></td>
<td class="number white" valign="top"><div class="content">76.4%</div></td>
<td class="number white" valign="top"><div class="content">18.5%</div></td></tr>
<tr>
<td class="first label"><div class="content"><b>U.S. unemployment rate</b></div></td>
<td class="number lightblue" valign="top"><div class="content">7.2%</div></td>
<td class="number lightblue" valign="top"><div class="content">5.6%</div></td>
<td class="number lightblue" valign="top"><div class="content">4.0%</div></td>
<td class="number lightblue" valign="top"><div class="content">9.3%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">China</div></td>
<td class="number white" valign="top"><div class="content">4.9%</div></td>
<td class="number white" valign="top"><div class="content">2.5%</div></td>
<td class="number white" valign="top"><div class="content">4.0%</div></td>
<td class="number white" valign="top"><div class="content">4.3%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Mexico</div></td>
<td class="number white" valign="top"><div class="content">1.2%</div></td>
<td class="number white" valign="top"><div class="content">2.7%</div></td>
<td class="number white" valign="top"><div class="content">2.2%</div></td>
<td class="number white" valign="top"><div class="content">5.4%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Brazil</div></td>
<td class="number white" valign="top"><div class="content">6.5%</div></td>
<td class="number white" valign="top"><div class="content">3.7%</div></td>
<td class="number white" valign="top"><div class="content">9.2%</div></td>
<td class="number white" valign="top"><div class="content">6.7%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Russia</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">10.6%</div></td>
<td class="number white" valign="top"><div class="content">7.5%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Egypt</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">8.0%</div></td>
<td class="number white" valign="top"><div class="content">9.0%</div></td>
<td class="number white" valign="top"><div class="content">8.1%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">European Union</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">8.3%
<br>(1991 data) </div></td>
<td class="number white" valign="top"><div class="content">9.2%</div></td>
<td class="number white" valign="top"><div class="content">9.6%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">India</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">10.8%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Turkey</div></td>
<td class="number white" valign="top"><div class="content">7.2%</div></td>
<td class="number white" valign="top"><div class="content">8.0%</div></td>
<td class="number white" valign="top"><div class="content">6.6%</div></td>
<td class="number white" valign="top"><div class="content">14.1%
<br>(2009 data) </div></td></tr>
<tr>
<td class="first label"><div class="content"><b>U.S. CO2 emissions (metric tons per capita</b>)</div></td>
<td class="number lightblue" valign="top"><div class="content">21.0</div></td>
<td class="number lightblue" valign="top"><div class="content">20.1</div></td>
<td class="number lightblue" valign="top"><div class="content">20.8</div></td>
<td class="number lightblue" valign="top"><div class="content">19.3
<br>(2007 data)</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Russia</div></td>
<td class="number white" valign="top"><div class="content">15.5</div></td>
<td class="number white" valign="top"><div class="content">15.8</div></td>
<td class="number white" valign="top"><div class="content">9.9</div></td>
<td class="number white" valign="top"><div class="content">10.8</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">South Korea</div></td>
<td class="number white" valign="top"><div class="content">3.5</div></td>
<td class="number white" valign="top"><div class="content">5.6</div></td>
<td class="number white" valign="top"><div class="content">9.4</div></td>
<td class="number white" valign="top"><div class="content">10.4</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Japan</div></td>
<td class="number white" valign="top"><div class="content">8.6</div></td>
<td class="number white" valign="top"><div class="content">9.3</div></td>
<td class="number white" valign="top"><div class="content">9.7</div></td>
<td class="number white" valign="top"><div class="content">9.8</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">European Union</div></td>
<td class="number white" valign="top"><div class="content">9.9</div></td>
<td class="number white" valign="top"><div class="content">8.8</div></td>
<td class="number white" valign="top"><div class="content">8.1</div></td>
<td class="number white" valign="top"><div class="content">8.1</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">China</div></td>
<td class="number white" valign="top"><div class="content">1.5</div></td>
<td class="number white" valign="top"><div class="content">2.0</div></td>
<td class="number white" valign="top"><div class="content">2.3</div></td>
<td class="number white" valign="top"><div class="content">5.0</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Mexico</div></td>
<td class="number white" valign="top"><div class="content">4.1</div></td>
<td class="number white" valign="top"><div class="content">4.3</div></td>
<td class="number white" valign="top"><div class="content">4.0</div></td>
<td class="number white" valign="top"><div class="content">4.5</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Turkey</div></td>
<td class="number white" valign="top"><div class="content">1.6</div></td>
<td class="number white" valign="top"><div class="content">2.7</div></td>
<td class="number white" valign="top"><div class="content">3.2</div></td>
<td class="number white" valign="top"><div class="content">4.0</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">India</div></td>
<td class="number white" valign="top"><div class="content">1.5</div></td>
<td class="number white" valign="top"><div class="content">1.4</div></td>
<td class="number white" valign="top"><div class="content">1.9</div></td>
<td class="number white" valign="top"><div class="content">1.9</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Brazil</div></td>
<td class="number white" valign="top"><div class="content">0.4</div></td>
<td class="number white" valign="top"><div class="content">0.7</div></td>
<td class="number white" valign="top"><div class="content">1.0</div></td>
<td class="number white" valign="top"><div class="content">1.4</div></td></tr>
<tr>
<td class="first label"><div class="content"><b>U.S. current account balance (decade average)</b></div></td>
<td class="number lightblue" valign="top"><div class="content">0.0%</div></td>
<td class="number lightblue" valign="top"><div class="content">-1.9%</div></td>
<td class="number lightblue" valign="top"><div class="content">-1.8%</div></td>
<td class="number lightblue" valign="top"><div class="content">-4.6%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">European Union</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">-0.2%</div></td>
<td class="number white" valign="top"><div class="content">-0.1%</div></td>
<td class="number white" valign="top"><div class="content">-0.2%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Brazil</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">-2.1%</div></td>
<td class="number white" valign="top"><div class="content">-2.0%</div></td>
<td class="number white" valign="top"><div class="content">-0.6%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">India</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">-1.9%</div></td>
<td class="number white" valign="top"><div class="content">-1.1%</div></td>
<td class="number white" valign="top"><div class="content">-0.8%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Egypt</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">-4.1%</div></td>
<td class="number white" valign="top"><div class="content">1.2%</div></td>
<td class="number white" valign="top"><div class="content">1.0%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Mexico</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">-0.7%</div></td>
<td class="number white" valign="top"><div class="content">-3.5%</div></td>
<td class="number white" valign="top"><div class="content">-1.1%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Turkey</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">-1.0%</div></td>
<td class="number white" valign="top"><div class="content">-1.1%</div></td>
<td class="number white" valign="top"><div class="content">-3.4%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">China</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">0.0%</div></td>
<td class="number white" valign="top"><div class="content">1.5%</div></td>
<td class="number white" valign="top"><div class="content">5.8%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Russia</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">4.3%</div></td>
<td class="number white" valign="top"><div class="content">7.9%</div></td></tr></tbody></table><!-- Table 2 Begins Here --><h2>"Common Defense"</h2>
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="person" valign="top"><div class="content"><p><b>1980</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>1990</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2000</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010</b></p></div></td></tr>
<tr>
<td class="first label"><div class="content"><b>U.S. military spending (billions of dollars)</b></div></td>
<td class="number lightblue" valign="top"><div class="content">--</div></td>
<td class="number lightblue" valign="top"><div class="content">505</div></td>
<td class="number lightblue" valign="top"><div class="content">377</div></td>
<td class="number lightblue" valign="top"><div class="content">663
<br>(2009 data)</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">China</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">18</div></td>
<td class="number white" valign="top"><div class="content">31</div></td>
<td class="number white" valign="top"><div class="content">98</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Russia</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">266</div></td>
<td class="number white" valign="top"><div class="content">30</div></td>
<td class="number white" valign="top"><div class="content">61</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">India</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">15</div></td>
<td class="number white" valign="top"><div class="content">22</div></td>
<td class="number white" valign="top"><div class="content">37</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Brazil</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">12</div></td>
<td class="number white" valign="top"><div class="content">20</div></td>
<td class="number white" valign="top"><div class="content">27</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Turkey</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">14</div></td>
<td class="number white" valign="top"><div class="content">22</div></td>
<td class="number white" valign="top"><div class="content">19</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Mexico</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">2</div></td>
<td class="number white" valign="top"><div class="content">4</div></td>
<td class="number white" valign="top"><div class="content">5</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Egypt</div></td>
<td class="number white" valign="top"><div class="content">--</div></td>
<td class="number white" valign="top"><div class="content">3</div></td>
<td class="number white" valign="top"><div class="content">4</div></td>
<td class="number white" valign="top"><div class="content">4</div></td></tr>
<tr>
<td class="first label"><div class="content"><b>U.S. army (# of troops)</b></div></td>
<td class="number lightblue" valign="top"><div class="content">774,000</div></td>
<td class="number lightblue" valign="top"><div class="content">761,100</div></td>
<td class="number lightblue" valign="top"><div class="content">471,000</div></td>
<td class="number lightblue" valign="top"><div class="content">662,232</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">China</div></td>
<td class="number white" valign="top"><div class="content">3,600,000</div></td>
<td class="number white" valign="top"><div class="content">2,300,000</div></td>
<td class="number white" valign="top"><div class="content">1,700,000</div></td>
<td class="number white" valign="top"><div class="content">1,600,000</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">India</div></td>
<td class="number white" valign="top"><div class="content">944,000</div></td>
<td class="number white" valign="top"><div class="content">1,100,000</div></td>
<td class="number white" valign="top"><div class="content">1,100,000</div></td>
<td class="number white" valign="top"><div class="content">1,129,900</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">South Korea</div></td>
<td class="number white" valign="top"><div class="content">520,000</div></td>
<td class="number white" valign="top"><div class="content">650,000</div></td>
<td class="number white" valign="top"><div class="content">560,000</div></td>
<td class="number white" valign="top"><div class="content">560,000</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Egypt</div></td>
<td class="number white" valign="top"><div class="content">320,000</div></td>
<td class="number white" valign="top"><div class="content">320,000</div></td>
<td class="number white" valign="top"><div class="content">320,000</div></td>
<td class="number white" valign="top"><div class="content">340,000</div></td></tr></tbody></table><!-- Table 3 Begins Here --><h2>"Blessings of Liberty"</h2>
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="person" valign="top"><div class="content"><p><b>1980</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>1990</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2000</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010</b></p></div></td></tr>
<tr>
<td class="first label"><div class="content"><b>U.S. Freedom House Ratings</b>
<br>(Political Rights, Civil Liberties, 1-7 scale)</div></td>
<td class="number lightblue" valign="top"><div class="content">1,1</div></td>
<td class="number lightblue" valign="top"><div class="content">1,1</div></td>
<td class="number lightblue" valign="top"><div class="content">1,1</div></td>
<td class="number lightblue" valign="top"><div class="content">1,1</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Brazil</div></td>
<td class="number white" valign="top"><div class="content">4,3</div></td>
<td class="number white" valign="top"><div class="content">2,2</div></td>
<td class="number white" valign="top"><div class="content">3,3</div></td>
<td class="number white" valign="top"><div class="content">2,2</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">India ratings</div></td>
<td class="number white" valign="top"><div class="content">2,2</div></td>
<td class="number white" valign="top"><div class="content">2,3</div></td>
<td class="number white" valign="top"><div class="content">2,3</div></td>
<td class="number white" valign="top"><div class="content">2,3</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Mexico</div></td>
<td class="number white" valign="top"><div class="content">3,4</div></td>
<td class="number white" valign="top"><div class="content">4,4</div></td>
<td class="number white" valign="top"><div class="content">2,3</div></td>
<td class="number white" valign="top"><div class="content">2,3</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Turkey</div></td>
<td class="number white" valign="top"><div class="content">5,5</div></td>
<td class="number white" valign="top"><div class="content">2,4</div></td>
<td class="number white" valign="top"><div class="content">4,5</div></td>
<td class="number white" valign="top"><div class="content">3,3</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Egypt</div></td>
<td class="number white" valign="top"><div class="content">5,5</div></td>
<td class="number white" valign="top"><div class="content">5,4</div></td>
<td class="number white" valign="top"><div class="content">6,5</div></td>
<td class="number white" valign="top"><div class="content">6,5</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Russia</div></td>
<td class="number white" valign="top"><div class="content">6,7</div></td>
<td class="number white" valign="top"><div class="content">5,4</div></td>
<td class="number white" valign="top"><div class="content">5,5</div></td>
<td class="number white" valign="top"><div class="content">6,5</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">China</div></td>
<td class="number white" valign="top"><div class="content">6,6</div></td>
<td class="number white" valign="top"><div class="content">7,7</div></td>
<td class="number white" valign="top"><div class="content">7,6</div></td>
<td class="number white" valign="top"><div class="content">7,6</div></td></tr>
<tr>
<td class="first label"><div class="content"><b>U.S. presidential approval rating (yearly avg.)</b></div></td>
<td class="number lightblue" valign="top"><div class="content">40.6%</div></td>
<td class="number lightblue" valign="top"><div class="content">66.3%</div></td>
<td class="number lightblue" valign="top"><div class="content">59.9%</div></td>
<td class="number lightblue" valign="top"><div class="content">46.8%</div></td></tr><!--
<tr>
<td class="first label"><div class="content"><b>U.S. Congress approval rating</b></div></td>
<td class="number lightblue" valign="top"><div class="content">25.0% (June 1980)</div></td>
<td class="number lightblue" valign="top"><div class="content">25.3% (Oct-Nov 1990)</div></td>
<td class="number lightblue" valign="top"><div class="content">48.6% (yearly avg.)</div></td>
<td class="number lightblue" valign="top"><div class="content">19.2% (yearly avg.)</div></td></tr> --></tbody></table></div><!-- <p><img alt="" src="http://www.brookings.edu/i/interactivetable/key.gif" /> </p>=================================== --><!-- INSERT CHART HTML ABOVETHIS LINE    --><!-- ===================================  ============================== --><!-- ============================== --><!-- NARRATIVE CONTENT RESUMES HERE --><!-- ============================== --><!-- ============================== --><!-- ============================== --><a name="story"></a><a href="#sources">See data sources »</a> 
<br>&lt;/not-mobile&gt;
<br>During the state visit by Chinese President Hu Jintao, it was easy to imagine that world politics and global economics had been reduced to a two-power game between a democratic America and an authoritarian China. But the reality is much broader. 
<br>
<br>Despite talk of American decline, the United States remains the world's largest national economy, at over $14 trillion per year, with a very high per capita income: $41,000. Right next to us is the oft-ignored European Union. The combined economy of their 27 member countries is actually $2 trillion per year larger than ours. And while newer members from Eastern Europe are on average poorer, they will continue to grow. Overall, the Western alliance still leads. 
<br>
<br>China's extraordinary transformation, with its advanced infrastructure and rising living standards, is well known. But since 1980, emerging democracies such as Brazil, Mexico, South Korea and Turkey have made their own great leaps forward. China's average income per capita - at just over $6,000 - is still only about half that of Mexico and Turkey and one-seventh that of the United States. In the past decade India, too, has made dramatic reforms and is quickly making up ground. 
<br>
<br>Meanwhile, non-democracies with heavily constrained market economies, such as Egypt, continue to falter with low economic output, high inflation and high population growth. In all likelihood, emerging and established democratic powers will shape global economics and politics well into the next century. Unless the Arab world makes similar reforms, it will be left further behind. 
<br>
<br>Some of this is simply a matter of demographics. Since 1980, the U.S. population has grown about 36 percent, adding more than 80 million people through immigration and a relatively high birthrate. That's about four times as fast as the E.U. and Japanese rates over that time; the U.S. growth rate has been 50 percent faster than China's over the past decade. Indeed, China's population growth rate of 0.7 percent will eventually become a significant constraint on its economic growth. 
<br>
<br>The populations of emerging democracies such as India and Mexico have grown much faster. Provided they can overcome structural and governance challenges, their fast-growing economies will occupy an ever greater share of global gross domestic product. The biggest population problems come from countries such as Egypt, whose nearly 2 percent growth rate is too fast for its sputtering economy to provide for the employment needs of an increasingly young workforce. 
<br>
<br>What is critical for all these countries - and especially for the United States - is to find greater balance in exports and imports. Trade liberalization has, by and large, been good for all countries, helping to lift billions out of poverty. Still, growing trade imbalances encourage financial instability and undermine sustainable job creation. And democracies have a hard time achieving domestic consensus on how to move forward. 
<br>
<br>And all of this growth has had an impact on the environment. Total greenhouse gas emissions have grown more than 50 percent, from about 19 billion tons of CO2 in 1980 to more than 30 billion tons today. Most of these emissions have come from industrial economies, with the United States making the largest contribution. But whereas emissions are leveling off in the industrial world, they continue to rise dramatically in nearly all emerging powers. 
<br>
<br>How does economic growth translate into military power? The United States still has the world's largest military by far. China has replaced Russia as the second-largest military by spending, having grown fivefold, though its defense spending is still a small fraction of the United States'. Importantly, all countries seem to be doing more with fewer troops. In fact, modernization has meant that, as a percentage of GDP, U.S. defense spending has increased only slightly, while China's spending has actually dipped. With the growing U.S. deficit and record debt level, compared with China's dramatic surpluses, it will be harder to sustain current levels of U.S. defense spending and easier for China to increase its military capabilities. 
<br>
<br>What does this all add up to? The United States remains the world's leading nation - economically, politically and militarily. New partners and competitors are rising fast but in complicated ways. Most of these nations are market democracies, with civilian control of the military. The real question is not whether they will catch up - many will - but whether the United States can continue to grow in a way that lifts all boats, and whether it can help shape an emerging global order that avoids conflict and encourages greater freedom.  
<br>
<br><strong>See also:</strong> 
<br>» <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/metro/stateofmetroamerica.aspx">State of Metropolitan America</a>—portraying the demographic and social trends that shape our nation's metropolitan areas 
<br>» <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/governance/govwatch.aspx">GovWatch</a>—tracking the progress and performance of our institutions in economic recovery 
<br>» <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/metro/MetroMonitor.aspx">MetroMonitor</a>—a barometer of the health of America’s 100 largest metropolitan economies
<br>
<br><p><a name="sources"></a></p><h2>Sources:</h2><p><p><p><p><em>Population: 
<br></em>World Bank Development Indicators, International Monetary Fund World Economic Outlook. 
<br>
<br><em>Population Growth Rate: 
<br></em>International Monetary Fund world Economic Outlook. 
<br>
<br><em>Real GDP per capita: 
<br></em>World Bank Development Indicators. 
<br>
<br><em>Inflation: 
<br></em>International Monetary Fund World Economic Outlook. 
<br>
<br><em>Unemployment: 
<br></em>International Monetary Fund World Economic Outlook. 
<br>
<br><em>CO2 Emissions:</em> 
<br>World Bank Development Indicators. 
<br>
<br><em>Current Account Balance:</em> 
<br>International Monetary Fund World Economic Outlook. 
<br>
<br><em>Military Spending: 
<br></em>Stockholm International Peace Research Institute. 
<br>
<br><em>Troop Levels:</em> 
<br>"Military Balance," International Security &amp; Counter Terrorism Reference Center. 
<br>
<br><em>Freedom House Ratings:</em> 
<br>Freedom in the World Annual Reports, Freedom House. 
<br>
<br><em>Presidential/Congressional Approval ratings:</em> 
<br>Gallup.</p></div></div></p><div>
		<h4>
			Authors
		</h4><ul>
			<li><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/experts/antholisw?view=bio">William J. Antholis</a></li><li><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/experts/indykm?view=bio">Martin S. Indyk</a></li>
		</ul>
	</div><div>
		Publication: The Brookings Institution and The Washington Post
	</div><div>
		Image Source: © NASA NASA / Reuters
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<feedburner:origLink>http://www.brookings.edu/research/papers/2010/10/31-recovery-renewal?rssid=How+Were+Doing</feedburner:origLink><guid isPermaLink="false">{40620B28-159F-412E-8D70-7821B652ACB7}</guid><link>http://webfeeds.brookings.edu/~/65487237/0/brookingsrss/series/howweredoing~How-Were-Doing-Uncertainty-Ahead-of-the-Midterms</link><title>How We're Doing: Uncertainty Ahead of the Midterms</title><description><![CDATA[<div>
	<img src="http://www.brookings.edu/~/media/research/images/f/fa%20fe/family004_16x9.jpg?w=120" alt="" border="0" /><br /><p><strong>Index #6: Last Five Quarters</strong> <br><br>Two days before voters go to the polls, uncertainty—both economic and political —remains the watchword. The strength of the recovery is in question, as the economic growth spurt of late 2009 and early 2010 appears to have given way to a slog. In the sixth “How We’re Doing” Index, a team of Brookings experts has looked at the past five quarters to assess data that underpin the national gloom. With midterm elections historically hard on the president’s party when voters are worried about economic circumstances, the Republican Party may regain control of Congress—but on major issues of policy, uncertainty is likely to linger.  &lt;not-mobile message=""&gt;  <a href="#story">Continue reading below chart »</a> &lt;/not-mobile&gt;<br><br><b>Related Materials:</b> <br><a href="http://www.brookings.edu/series/how-were-doing" name="&lid={567D8757-3819-4EDA-8E93-502A0BFAE072}&lpos=loc:body">Past How We're Doing indexes »<br></a><a href="http://www.brookings.edu/multimedia/video-playlists/2010/11/01-index-west" name="&lid={83821641-5C8A-4788-87CC-9608466AD878}&lpos=loc:body">Darrell West Videos »</a> <br><a href="http://www.brookings.edu/research/papers/2010/02/28-recovery-renewal" name="&lid={A8BE4192-D46A-4FE8-8F4C-AAC5D0715DA5}&lpos=loc:body"></a></p><p>&lt;not-mobile message="** To see the full indicator chart, please visit brookings.edu on your desktop **"&gt;<!-- INSERT CHART HTML BELOW THIS LINE   --><!-- =================================== --> <div class="interactive_table"><div class="interactive_table"><!-- Table 1 Begins Here--><h2>"General Welfare"</h2><div class="interactive_table">
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="second person" valign="top"><div class="content"><p><b>2009 Q3</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q4</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q1</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q2</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q3</b></p></div></td></tr>
<tr>
<td class="first label"><div class="content">U.S. GDP growth, <em>percent change, annual</em></div></td>
<td class="number lightblue" valign="top"><div class="content">1.6</div></td>
<td class="number white" valign="top"><div class="content">5.0</div></td>
<td class="number lightestblue" valign="top"><div class="content">3.7</div></td>
<td class="number lightblue" valign="top"><div class="content">1.7</div></td>
<td class="number lightblue" valign="top"><div class="content">2.0</div></td></tr>
<tr>
<td class="first label"><div class="content">Unemployment rate</div></td>
<td class="number lightblue" valign="top"><div class="content">9.6</div></td>
<td class="number blue" valign="top"><div class="content">10.0</div></td>
<td class="number lightblue" valign="top"><div class="content">9.7</div></td>
<td class="number lightblue" valign="top"><div class="content">9.7</div></td>
<td class="number lightblue" valign="top"><div class="content">9.6</div></td></tr>
<tr>
<td class="first label"><div class="content">Underemployment rate</div></td>
<td class="number lightblue" valign="top"><div class="content">16.7</div></td>
<td class="number blue" valign="top"><div class="content">17.3</div></td>
<td class="number lightblue" valign="top"><div class="content">16.7</div></td>
<td class="number lightblue" valign="top"><div class="content">16.7</div></td>
<td class="number lightblue" valign="top"><div class="content">16.8</div></td></tr>
<tr>
<td class="first label"><div class="content">Total non-farm employment <i>percent change, annual</i></div></td>
<td class="number blue" valign="top"><div class="content">-3.1</div></td>
<td class="number lightblue" valign="top"><div class="content">-1.3</div></td>
<td class="number lightestblue" valign="top"><div class="content">0.2</div></td>
<td class="number white" valign="top"><div class="content">2.2</div></td>
<td class="number lightestblue" valign="top"><div class="content">-0.3</div></td></tr>
<tr>
<td class="first label"><div class="content">Inflation rate <i>percent change, annual</i></div></td>
<td class="number slashed" valign="top"><div class="content">3.7</div></td>
<td class="number slashed" valign="top"><div class="content">2.6</div></td>
<td class="number slashed" valign="top"><div class="content">1.5</div></td>
<td class="number slashed" valign="top"><div class="content">-0.7</div></td>
<td class="number slashed" valign="top"><div class="content">1.5</div></td></tr>
<tr>
<td class="first label"><div class="content">Consumer spending, <em>percent change, annual</em></div></td>
<td class="number lightestblue" valign="top"><div class="content">2.0</div></td>
<td class="number lightblue" valign="top"><div class="content">0.9</div></td>
<td class="number lightestblue" valign="top"><div class="content">1.9</div></td>
<td class="number white" valign="top"><div class="content">2.2</div></td>
<td class="number white" valign="top"><div class="content">2.6</div></td></tr>
<tr>
<td class="first label"><div class="content">Dow Jones Industrial Average (end of quarter)</div></td>
<td class="number lightblue" valign="top"><div class="content">9,712</div></td>
<td class="number lightestblue" valign="top"><div class="content">10,428</div></td>
<td class="number white" valign="top"><div class="content">10,857</div></td>
<td class="number lightblue" valign="top"><div class="content">9,774</div></td>
<td class="number white" valign="top"><div class="content">10,788</div></td></tr>
<tr>
<td class="first label"><div class="content">Thomson-Reuters/University of Michigan Surveys of Consumers</div></td>
<td class="number blue" valign="top"><div class="content">68.4</div></td>
<td class="number lightblue" valign="top"><div class="content">70.2</div></td>
<td class="number lightblue" valign="top"><div class="content">73.9</div></td>
<td class="number lightblue" valign="top"><div class="content">73.9</div></td>
<td class="number blue" valign="top"><div class="content">68.3</div></td></tr>
<tr>
<td class="first label"><div class="content">National Federation of Independent Business, Small Business Optimism Index</div></td>
<td class="number blue" valign="top"><div class="content">88.0</div></td>
<td class="number blue" valign="top"><div class="content">88.5</div></td>
<td class="number blue" valign="top"><div class="content">88.0</div></td>
<td class="number lightblue" valign="top"><div class="content">90.6</div></td>
<td class="number blue" valign="top"><div class="content">88.6</div></td></tr>
<tr>
<td class="first label"><div class="content">National Association of Home Builders/Wells Fargo Housing Market Index </div></td>
<td class="number lightblue" valign="top"><div class="content">18.0</div></td>
<td class="number lightblue" valign="top"><div class="content">16.7</div></td>
<td class="number lightblue" valign="top"><div class="content">15.7</div></td>
<td class="number lightblue" valign="top"><div class="content">19.0</div></td>
<td class="number blue" valign="top"><div class="content">13.3</div></td></tr>
<tr>
<td class="first label"><div class="content">S&amp;P/Case-Shiller Home Price Composite 10 Index (data from September 2010 not available)</div></td>
<td class="number slashed" valign="top"><div class="content">156.0</div></td>
<td class="number slashed" valign="top"><div class="content">157.4</div></td>
<td class="number slashed" valign="top"><div class="content">158.7</div></td>
<td class="number slashed" valign="top"><div class="content">160.3</div></td>
<td class="number slashed" valign="top"><div class="content">160.7</div></td></tr>
<tr>
<td class="first label"><div class="content">Months' Supply of New Homes</div></td>
<td class="number lightblue" valign="top"><div class="content">7.8</div></td>
<td class="number lightblue" valign="top"><div class="content">7.6</div></td>
<td class="number lightblue" valign="top"><div class="content">7.7</div></td>
<td class="number lightblue" valign="top"><div class="content">7.9</div></td>
<td class="number blue" valign="top"><div class="content">8.5</div></td></tr>
<tr>
<td class="first label"><div class="content">Interest rate on 30-year fixed mortgage (end of quarter)</div></td>
<td class="number lightblue" valign="top"><div class="content">5.1</div></td>
<td class="number lightestblue" valign="top"><div class="content">4.9</div></td>
<td class="number lightblue" valign="top"><div class="content">5.0</div></td>
<td class="number lightestblue" valign="top"><div class="content">4.7</div></td>
<td class="number white" valign="top"><div class="content">4.4</div></td></tr>
<tr>
<td class="first label"><div class="content">States experiencing increases in the unemployment rate</div></td>
<td class="number lightblue" valign="top"><div class="content">32</div></td>
<td class="number lightestblue" valign="top"><div class="content">28</div></td>
<td class="number lightblue" valign="top"><div class="content">32</div></td>
<td class="number white" valign="top"><div class="content">7</div></td>
<td class="number lightestblue" valign="top"><div class="content">23</div></td></tr>
<tr>
<td class="first label"><div class="content">States experiencing increases in total employment</div></td>
<td class="number blue" valign="top"><div class="content">2</div></td>
<td class="number lightblue" valign="top"><div class="content">14</div></td>
<td class="number lightestblue" valign="top"><div class="content">37</div></td>
<td class="number white" valign="top"><div class="content">40</div></td>
<td class="number lightblue" valign="top"><div class="content">13</div></td></tr>
<tr>
<td class="first label"><div class="content">Total non-farm payroll employment, (quarter-to-quarter) <i>percent change, annual</i></div></td>
<td class="number white" colspan="5"></td></tr>
<tr>
<td class="first label" align="right"><div class="content">... in the Cleveland Metro area</div></td>
<td class="number blue" valign="top"><div class="content">-4.6</div></td>
<td class="number lightblue" valign="top"><div class="content">-2.4</div></td>
<td class="number lightestblue" valign="top"><div class="content">1.0</div></td>
<td class="number white" valign="top"><div class="content">4.7</div></td>
<td class="number slashed" valign="top"><div class="content">N/A</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">... in the Las Vegas Metro area</div></td>
<td class="number blue" valign="top"><div class="content">-7.5</div></td>
<td class="number lightblue" valign="top"><div class="content">-1.5</div></td>
<td class="number blue" valign="top"><div class="content">-4.6</div></td>
<td class="number lightblue" valign="top"><div class="content">-1.0</div></td>
<td class="number slashed" valign="top"><div class="content">N/A</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">... in the D.C. Metro area</div></td>
<td class="number lightblue" valign="top"><div class="content">-1.5</div></td>
<td class="number lightblue" valign="top"><div class="content">-1.4</div></td>
<td class="number lightestblue" valign="top"><div class="content">0.7</div></td>
<td class="number white" valign="top"><div class="content">5.0</div></td>
<td class="number slashed" valign="top"><div class="content">N/A</div></td></tr></tbody></table><!-- Table 2 Begins Here --><h2>"Common Defense"</h2>
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="second person" valign="top"><div class="content"><p><b>2009 Q3</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q4</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q1</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q2</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q3</b></p></div></td></tr>
<tr>
<td class="first label"><div class="content">U.S. troop fatalities for the war in Iraq</div></td>
<td class="number lightblue" valign="top"><div class="content">25</div></td>
<td class="number lightblue" valign="top"><div class="content">23</div></td>
<td class="number lightestblue" valign="top"><div class="content">17</div></td>
<td class="number lightblue" valign="top"><div class="content">22</div></td>
<td class="number lightestblue" valign="top"><div class="content">14</div></td></tr>
<tr>
<td class="first label"><div class="content">U.S. troop fatalities for the war in Afghanistan (does not include the death of 5 CIA operatives in December 2009)</div></td>
<td class="number lightblue" valign="top"><div class="content">136</div></td>
<td class="number lightestblue" valign="top"><div class="content">90</div></td>
<td class="number lightestblue" valign="top"><div class="content">88</div></td>
<td class="number lightblue" valign="top"><div class="content">114</div></td>
<td class="number blue" valign="top"><div class="content">162</div></td></tr></tbody></table><!-- Table 3 Begins Here --><h2>"Blessings of Liberty"</h2>
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="second person" valign="top"><div class="content"><p><b>2009 Q3</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q4</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q1</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q2</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q3</b></p></div></td></tr>
<tr>
<td class="first label"><div class="content">President's approval rating</div></td>
<td class="number lightblue" valign="top"><div class="content">54%</div></td>
<td class="number lightblue" valign="top"><div class="content">51%</div></td>
<td class="number blue" valign="top"><div class="content">49%</div></td>
<td class="number blue" valign="top"><div class="content">48%</div></td>
<td class="number blue" valign="top"><div class="content">45%</div></td></tr>
<tr>
<td class="first label"><div class="content">Partisan gap</div></td>
<td class="number blue" valign="top"><div class="content">68%</div></td>
<td class="number blue" valign="top"><div class="content">67%</div></td>
<td class="number blue" valign="top"><div class="content">68%</div></td>
<td class="number blue" valign="top"><div class="content">69%</div></td>
<td class="number blue" valign="top"><div class="content">68%</div></td></tr>
<tr>
<td class="first label"><div class="content">Approval rating of Congress</div></td>
<td class="number lightestblue" valign="top"><div class="content">31%</div></td>
<td class="number lightblue" valign="top"><div class="content">24%</div></td>
<td class="number blue" valign="top"><div class="content">19%</div></td>
<td class="number blue" valign="top"><div class="content">21%</div></td>
<td class="number blue" valign="top"><div class="content">19%</div></td></tr>
<tr>
<td class="first label"><div class="content">"Satisfied with the way things are"</div></td>
<td class="number lightestblue" valign="top"><div class="content">32%</div></td>
<td class="number lightblue" valign="top"><div class="content">25%</div></td>
<td class="number blue" valign="top"><div class="content">22%</div></td>
<td class="number lightblue" valign="top"><div class="content">25%</div></td>
<td class="number blue" valign="top"><div class="content">20%</div></td></tr>
<tr>
<td class="first label"><div class="content">"Feel things in this country are generally going in the right direction"</div></td>
<td class="number lightblue" valign="top"><div class="content">39%</div></td>
<td class="number lightblue" valign="top"><div class="content">37%</div></td>
<td class="number lightblue" valign="top"><div class="content">35%</div></td>
<td class="number blue" valign="top"><div class="content">33%</div></td>
<td class="number blue" valign="top"><div class="content">33%</div></td></tr></tbody></table></div><p><img alt="" src="/i/interactivetable/key.gif"> </p><!-- =================================== --><!-- INSERT CHART HTML ABOVETHIS LINE    --><!-- ===================================  ============================== --><!-- ============================== --><!-- NARRATIVE CONTENT RESUMES HERE --><!-- ============================== --><!-- ============================== --><!-- ============================== --><a name="story"></a><a href="#sources">See data sources »</a> <br>&lt;/not-mobile&gt;<br>Third-quarter data show that economic growth remained tepid for the second consecutive quarter. Nearly one in 10 workers is unemployed, and the 17 percent underemployment rate - which includes marginally attached workers and people employed part time for economic reasons - remains near its record high from last October. <br><br>The housing sector, which has often led the way out of past downturns, continues to be troubled. A series of government interventions over the past two years has helped modestly turn around home prices after a 33 percent decline, but a glut of homes persists even after two years of historically low housing construction. Millions of people have lost their homes to foreclosure the past few years, and a further drop in house prices could put even more borrowers underwater and at risk of losing their homes. <br><br>Meanwhile, confidence has slid further: Consumer sentiment declined in the third quarter to its lowest level in more than a year. The National Federation of Independent Business's Index of Small Business Optimism was down. The National Association of Home Builders' measure of builder confidence was just a tad above its historic lows of early 2009. <br><br>What do these measures suggest? First, that consumers and businesses share the view of economic forecasters that the prospects for a rapid recovery are dim. A high degree of uncertainty surrounds both our economic future and some issues of policy. Congress and the administration have not resolved whether, or to what degree, to allow the Bush tax cuts to expire as scheduled by year's end. The nation lacks long-term plans to address its deep debt. There has been little clarity on how or if the government will take on energy supply, climate change and immigration. <br><br>On issues of monetary policy, Federal Reserve leaders are talking about resuming their efforts to stimulate the economy by purchasing Treasury securities, but experts in and outside government continue to debate the size of the benefits and how to weigh them against the potential risks of inflation. <br><br>Political and governing concerns are driving uncertainty yet higher. Less than a third of voters felt the economic stimulus money hit the mark, an October <em>Washington Post </em>poll found, and 68 percent believed federal dollars were wasted. A <em>Newsweek </em>poll this month on the psychology of voter anger found that 68 percent are dissatisfied with the way things are going in the United States; economic conditions, not enough good-paying jobs, and low moral and ethical standards in particular provoked <br>anger. Neither party generates much confidence in its ability to address problems such as health care, energy or housing. <br><br>Although Republicans are poised to pick up a large number of congressional seats, gridlock is the safest prediction for the post-election Congress. Whichever party ends up controlling the House and the Senate will have narrow majorities, making governing a challenge. Other aspects of our highly polarized political environment strain chances for solid bargaining and negotiation. <br><br>The public's lack of confidence bears importantly on how the future unfolds. If people feel uncertain about the economy and political leaders' abilities, consumers may hold back on spending and businesses may delay hiring and investment. This combination inhibits economic growth and perpetuates dismal economic conditions. The midterm campaigns and third-quarter data underscore the difficulty of generating a cycle of growth and confidence in the face of national doubts and anxiety. <br><br><strong>See also:</strong> <br>» <a href="/metro/stateofmetroamerica.aspx">State of Metropolitan America</a>—portraying the demographic and social trends that shape our nation's metropolitan areas <br>» <a href="/governance/govwatch.aspx">GovWatch</a>—tracking the progress and performance of our institutions in economic recovery <br>» <a href="/metro/MetroMonitor.aspx">MetroMonitor</a>—a barometer of the health of America’s 100 largest metropolitan economies<br><br></div><p><a name="sources"></a></p><h2>Sources:</h2><p><em>GDP growth:</em> <br>U.S. Bureau of Economic Analysis, NIPA Table 1.1.1, Retrieved October 29, 2010<br><a href="http://www.bea.gov/national/nipaweb/SelectTable.asp">http://www.bea.gov/national/nipaweb/SelectTable.asp</a> <br><br><em>Unemployment rate:</em> <br>U.S. Bureau of Labor Statistics, Current Population Survey Unemployment Data, Retrieved October 18, 2010 <br><a href="http://www.bls.gov/cps/">http://www.bls.gov/cps/</a> <br><br><em>Underemployment rate:</em> <br>U.S. Bureau of Labor Statistics, Current Population Survey U6 SA Data, Retrieved October 28, 2010<br><a href="http://www.bls.gov/webapps/legacy/cpsatab15.htm">http://www.bls.gov/webapps/legacy/cpsatab15.htm<br></a><br><em>Inflation rate:</em> <br>U.S. Bureau of Labor Statistics, Consumer Price Index, All Urban Consumers, Seasonally Adjusted, Retrieved October 18, 2010.  <br><a href="http://www.bls.gov/CPI">http://www.bls.gov/CPI</a> <br><br><em>Consumer spending:</em> <br>U.S. Bureau of Economic Analysis, NIPA Table 2.3.1., October 29, 2010<br><a href="http://www.bea.gov/National/nipaweb/index.asp">http://www.bea.gov/National/nipaweb/index.asp</a> <br><br><em>Dow Jones Industrial Average:</em> <br>Yahoo! Finance<br><a href="http://finance.yahoo.com/q/hp?s=%5EDJI">http://finance.yahoo.com/q/hp?s=%5EDJI</a> <br><br><em>Reuters/University of Michigan Surveys of Consumers: <br></em>St Louis Federal Reserve, University of Michigan: Consumer Sentiment, Retrieved October 18, 2010<br><a href="http://research.stlouisfed.org/fred2/series/UMCSENT/downloaddata?cid=98">http://research.stlouisfed.org/fred2/series/UMCSENT/downloaddata?cid=98</a><br><br><em>NFIB Small Business Optimism Index:<br></em>National Federation of Independent Business; Small Business Economic Trends October 2010<br><a href="http://www.nfib.com/Portals/0/PDF/sbet/SBET201010.pdf">http://www.nfib.com/Portals/0/PDF/sbet/SBET201010.pdf</a><br><br><em>NAHB/Wells Fargo Housing Market Index: <br></em>National Association of Home Builders; Retrieved October 22, 2010<br><a href="http://www.nahb.org/reference_list.aspx?sectionID=134">http://www.nahb.org/reference_list.aspx?sectionID=134</a><br><br><em>S&amp;P/Case-Shiller Home Price Composite 10 Index: <br></em>Standard and Poors; S&amp;P/Case-Shiller Home Price Composite 10 Index; Retrieved October 28, 2010<br><a href="http://www.standardandpoors.com/indices/sp-case-shiller-home-price-indices/en/us/?indexId=spusa-cashpidff--p-us">http://www.standardandpoors.com/indices/sp-case-shiller-home-price-indices/en/us/?indexId=spusa-cashpidff--p-us</a>----<br><br><em>Months' Supply of New Homes:</em><br>Census Bureau, New Residential Sales; SA Months Supply at Current Rate; Retrieved October 29, 2010<br><a href="http://www.census.gov/const/www/newressalesindex.html">http://www.census.gov/const/www/newressalesindex.html</a><br><br><em>Interest rate on 30-year fixed rate mortgage: <br></em>Freddie Mac, Primary Mortgage Market Survey, "Monthly Average Commitment Rate and Points on 30-year Fixed Rate Mortgages since 1971." <br><a href="http://www.freddiemac.com/pmms/pmms30.htm">http://www.freddiemac.com/pmms/pmms30.htm</a> <br><br><em>States Experiencing Increases in the Unemployment Rate:</em><br>Bureau of Labor Statistics, Local Area Unemployment Statistics; Retrieved October 29, 2010<br><br><em>States Experiencing Increases in Total Employment:<br></em>Bureau of Labor Statistics, Current Employment Statistics; Retrieved October 29, 2010<br><br><em>Payroll employment in the D.C. and Las Vegas metro areas:</em> <br>Moody's Economy; Retrieved October 29, 2010<br><br><em>U.S. War Fatalities:</em> <br><a href="http://icasualties.org/Iraq/index.aspx">http://icasualties.org/Iraq/index.aspx</a><br><a href="http://icasualties.org/OEF/ByMonth.aspx">http://icasualties.org/OEF/ByMonth.aspx</a> <br><br><em>The President's Approval Rating: <br></em>The Gallup Organization. “Presidential Approval.” Gallup Poll News Service; unpublished data from the Gallup Poll . "Presidential Approval Ratings – Barack Obama." Retrieved October 21, 2010<br><a href="http://www.gallup.com/poll/116479/Barack-Obama-Presidential-Job-Approval.aspx">http://www.gallup.com/poll/116479/Barack-Obama-Presidential-Job-Approval.aspx</a><br><em><br>Partisan Gap:<br></em>The Gallup Organization. “Presidential Approval.” Gallup Poll News Service; unpublished data from the Gallup Poll. "Presidential Approval Ratings – Barack Obama." Retrieved October 21, 2010, from The Gallup Poll<br><a href="http://www.gallup.com/poll/116479/Barack-Obama-Presidential-Job-Approval.aspx">http://www.gallup.com/poll/116479/Barack-Obama-Presidential-Job-Approval.aspx</a><br><br><em>Approval rating of Congress: <br></em>The Gallup Organization. "Congress and the Public." Retrieved October 21, 2010, from The Gallup Poll<br><a href="http://www.gallup.com/poll/1600/Congress-Public.aspx">http://www.gallup.com/poll/1600/Congress-Public.aspx</a><br><br><em>Average percent of Americans “satisfied with the way things are":<br></em>The Gallup Organization. "Satisfaction with the United States." Retrieved October 21, 2010, from The Gallup Poll<br><a href="http://www.gallup.com/poll/1669/General-Mood-Country.aspx">http://www.gallup.com/poll/1669/General-Mood-Country.aspx</a><br><br><em>Average percent of Americans who “feel things in this country are generally going in the right direction":<br></em>CBS News/New York Times Poll. Oct. 21-26, 2010, "Do you feel things in this country are generally going in the right direction or do you feel things have pretty seriously gotten off on the wrong track?"; Retrieved October 29, 2010<br><a href="http://www.pollingreport.com/right.htm">http://www.pollingreport.com/right.htm</a></p></div></p><h4>
		Downloads
	</h4><ul>
		<li><a href="http://www.brookings.edu/~/media/research/files/papers/2010/10/31-recovery-renewal/0228_how_were_doing_index.pdf">Download analysis and chart</a></li>
	</ul><div>
		<h4>
			Authors
		</h4><ul>
			<li><a href="http://www.brookings.edu/experts/dynank?view=bio">Karen Dynan</a></li><li><a href="http://www.brookings.edu/experts/gayert?view=bio">Ted Gayer</a></li><li><a href="http://www.brookings.edu/experts/westd?view=bio">Darrell M. West</a></li>
		</ul>
	</div><div>
		Publication: The Brookings Institution and The Washington Post
	</div><div>
		Image Source: © Lucy Nicholson / Reuters
	</div>
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</description><pubDate>Sun, 31 Oct 2010 17:22:00 -0400</pubDate><dc:creator>Karen Dynan, Ted Gayer and Darrell M. West</dc:creator><content:encoded><![CDATA[<div>
	<img src="http://www.brookings.edu/~/media/research/images/f/fa%20fe/family004_16x9.jpg?w=120" alt="" border="0" />
<br><p><strong>Index #6: Last Five Quarters</strong> 
<br>
<br>Two days before voters go to the polls, uncertainty—both economic and political —remains the watchword. The strength of the recovery is in question, as the economic growth spurt of late 2009 and early 2010 appears to have given way to a slog. In the sixth “How We’re Doing” Index, a team of Brookings experts has looked at the past five quarters to assess data that underpin the national gloom. With midterm elections historically hard on the president’s party when voters are worried about economic circumstances, the Republican Party may regain control of Congress—but on major issues of policy, uncertainty is likely to linger.  &lt;not-mobile message=""&gt;  <a href="#story">Continue reading below chart »</a> &lt;/not-mobile&gt;
<br>
<br><b>Related Materials:</b> 
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/series/how-were-doing" name="&lid={567D8757-3819-4EDA-8E93-502A0BFAE072}&lpos=loc:body">Past How We're Doing indexes »
<br></a><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/multimedia/video-playlists/2010/11/01-index-west" name="&lid={83821641-5C8A-4788-87CC-9608466AD878}&lpos=loc:body">Darrell West Videos »</a> 
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/research/papers/2010/02/28-recovery-renewal" name="&lid={A8BE4192-D46A-4FE8-8F4C-AAC5D0715DA5}&lpos=loc:body"></a></p><p>&lt;not-mobile message="** To see the full indicator chart, please visit brookings.edu on your desktop **"&gt;<!-- INSERT CHART HTML BELOW THIS LINE   --><!-- =================================== --> <div class="interactive_table"><div class="interactive_table"><!-- Table 1 Begins Here--><h2>"General Welfare"</h2><div class="interactive_table">
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="second person" valign="top"><div class="content"><p><b>2009 Q3</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q4</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q1</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q2</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q3</b></p></div></td></tr>
<tr>
<td class="first label"><div class="content">U.S. GDP growth, <em>percent change, annual</em></div></td>
<td class="number lightblue" valign="top"><div class="content">1.6</div></td>
<td class="number white" valign="top"><div class="content">5.0</div></td>
<td class="number lightestblue" valign="top"><div class="content">3.7</div></td>
<td class="number lightblue" valign="top"><div class="content">1.7</div></td>
<td class="number lightblue" valign="top"><div class="content">2.0</div></td></tr>
<tr>
<td class="first label"><div class="content">Unemployment rate</div></td>
<td class="number lightblue" valign="top"><div class="content">9.6</div></td>
<td class="number blue" valign="top"><div class="content">10.0</div></td>
<td class="number lightblue" valign="top"><div class="content">9.7</div></td>
<td class="number lightblue" valign="top"><div class="content">9.7</div></td>
<td class="number lightblue" valign="top"><div class="content">9.6</div></td></tr>
<tr>
<td class="first label"><div class="content">Underemployment rate</div></td>
<td class="number lightblue" valign="top"><div class="content">16.7</div></td>
<td class="number blue" valign="top"><div class="content">17.3</div></td>
<td class="number lightblue" valign="top"><div class="content">16.7</div></td>
<td class="number lightblue" valign="top"><div class="content">16.7</div></td>
<td class="number lightblue" valign="top"><div class="content">16.8</div></td></tr>
<tr>
<td class="first label"><div class="content">Total non-farm employment <i>percent change, annual</i></div></td>
<td class="number blue" valign="top"><div class="content">-3.1</div></td>
<td class="number lightblue" valign="top"><div class="content">-1.3</div></td>
<td class="number lightestblue" valign="top"><div class="content">0.2</div></td>
<td class="number white" valign="top"><div class="content">2.2</div></td>
<td class="number lightestblue" valign="top"><div class="content">-0.3</div></td></tr>
<tr>
<td class="first label"><div class="content">Inflation rate <i>percent change, annual</i></div></td>
<td class="number slashed" valign="top"><div class="content">3.7</div></td>
<td class="number slashed" valign="top"><div class="content">2.6</div></td>
<td class="number slashed" valign="top"><div class="content">1.5</div></td>
<td class="number slashed" valign="top"><div class="content">-0.7</div></td>
<td class="number slashed" valign="top"><div class="content">1.5</div></td></tr>
<tr>
<td class="first label"><div class="content">Consumer spending, <em>percent change, annual</em></div></td>
<td class="number lightestblue" valign="top"><div class="content">2.0</div></td>
<td class="number lightblue" valign="top"><div class="content">0.9</div></td>
<td class="number lightestblue" valign="top"><div class="content">1.9</div></td>
<td class="number white" valign="top"><div class="content">2.2</div></td>
<td class="number white" valign="top"><div class="content">2.6</div></td></tr>
<tr>
<td class="first label"><div class="content">Dow Jones Industrial Average (end of quarter)</div></td>
<td class="number lightblue" valign="top"><div class="content">9,712</div></td>
<td class="number lightestblue" valign="top"><div class="content">10,428</div></td>
<td class="number white" valign="top"><div class="content">10,857</div></td>
<td class="number lightblue" valign="top"><div class="content">9,774</div></td>
<td class="number white" valign="top"><div class="content">10,788</div></td></tr>
<tr>
<td class="first label"><div class="content">Thomson-Reuters/University of Michigan Surveys of Consumers</div></td>
<td class="number blue" valign="top"><div class="content">68.4</div></td>
<td class="number lightblue" valign="top"><div class="content">70.2</div></td>
<td class="number lightblue" valign="top"><div class="content">73.9</div></td>
<td class="number lightblue" valign="top"><div class="content">73.9</div></td>
<td class="number blue" valign="top"><div class="content">68.3</div></td></tr>
<tr>
<td class="first label"><div class="content">National Federation of Independent Business, Small Business Optimism Index</div></td>
<td class="number blue" valign="top"><div class="content">88.0</div></td>
<td class="number blue" valign="top"><div class="content">88.5</div></td>
<td class="number blue" valign="top"><div class="content">88.0</div></td>
<td class="number lightblue" valign="top"><div class="content">90.6</div></td>
<td class="number blue" valign="top"><div class="content">88.6</div></td></tr>
<tr>
<td class="first label"><div class="content">National Association of Home Builders/Wells Fargo Housing Market Index </div></td>
<td class="number lightblue" valign="top"><div class="content">18.0</div></td>
<td class="number lightblue" valign="top"><div class="content">16.7</div></td>
<td class="number lightblue" valign="top"><div class="content">15.7</div></td>
<td class="number lightblue" valign="top"><div class="content">19.0</div></td>
<td class="number blue" valign="top"><div class="content">13.3</div></td></tr>
<tr>
<td class="first label"><div class="content">S&amp;P/Case-Shiller Home Price Composite 10 Index (data from September 2010 not available)</div></td>
<td class="number slashed" valign="top"><div class="content">156.0</div></td>
<td class="number slashed" valign="top"><div class="content">157.4</div></td>
<td class="number slashed" valign="top"><div class="content">158.7</div></td>
<td class="number slashed" valign="top"><div class="content">160.3</div></td>
<td class="number slashed" valign="top"><div class="content">160.7</div></td></tr>
<tr>
<td class="first label"><div class="content">Months' Supply of New Homes</div></td>
<td class="number lightblue" valign="top"><div class="content">7.8</div></td>
<td class="number lightblue" valign="top"><div class="content">7.6</div></td>
<td class="number lightblue" valign="top"><div class="content">7.7</div></td>
<td class="number lightblue" valign="top"><div class="content">7.9</div></td>
<td class="number blue" valign="top"><div class="content">8.5</div></td></tr>
<tr>
<td class="first label"><div class="content">Interest rate on 30-year fixed mortgage (end of quarter)</div></td>
<td class="number lightblue" valign="top"><div class="content">5.1</div></td>
<td class="number lightestblue" valign="top"><div class="content">4.9</div></td>
<td class="number lightblue" valign="top"><div class="content">5.0</div></td>
<td class="number lightestblue" valign="top"><div class="content">4.7</div></td>
<td class="number white" valign="top"><div class="content">4.4</div></td></tr>
<tr>
<td class="first label"><div class="content">States experiencing increases in the unemployment rate</div></td>
<td class="number lightblue" valign="top"><div class="content">32</div></td>
<td class="number lightestblue" valign="top"><div class="content">28</div></td>
<td class="number lightblue" valign="top"><div class="content">32</div></td>
<td class="number white" valign="top"><div class="content">7</div></td>
<td class="number lightestblue" valign="top"><div class="content">23</div></td></tr>
<tr>
<td class="first label"><div class="content">States experiencing increases in total employment</div></td>
<td class="number blue" valign="top"><div class="content">2</div></td>
<td class="number lightblue" valign="top"><div class="content">14</div></td>
<td class="number lightestblue" valign="top"><div class="content">37</div></td>
<td class="number white" valign="top"><div class="content">40</div></td>
<td class="number lightblue" valign="top"><div class="content">13</div></td></tr>
<tr>
<td class="first label"><div class="content">Total non-farm payroll employment, (quarter-to-quarter) <i>percent change, annual</i></div></td>
<td class="number white" colspan="5"></td></tr>
<tr>
<td class="first label" align="right"><div class="content">... in the Cleveland Metro area</div></td>
<td class="number blue" valign="top"><div class="content">-4.6</div></td>
<td class="number lightblue" valign="top"><div class="content">-2.4</div></td>
<td class="number lightestblue" valign="top"><div class="content">1.0</div></td>
<td class="number white" valign="top"><div class="content">4.7</div></td>
<td class="number slashed" valign="top"><div class="content">N/A</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">... in the Las Vegas Metro area</div></td>
<td class="number blue" valign="top"><div class="content">-7.5</div></td>
<td class="number lightblue" valign="top"><div class="content">-1.5</div></td>
<td class="number blue" valign="top"><div class="content">-4.6</div></td>
<td class="number lightblue" valign="top"><div class="content">-1.0</div></td>
<td class="number slashed" valign="top"><div class="content">N/A</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">... in the D.C. Metro area</div></td>
<td class="number lightblue" valign="top"><div class="content">-1.5</div></td>
<td class="number lightblue" valign="top"><div class="content">-1.4</div></td>
<td class="number lightestblue" valign="top"><div class="content">0.7</div></td>
<td class="number white" valign="top"><div class="content">5.0</div></td>
<td class="number slashed" valign="top"><div class="content">N/A</div></td></tr></tbody></table><!-- Table 2 Begins Here --><h2>"Common Defense"</h2>
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="second person" valign="top"><div class="content"><p><b>2009 Q3</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q4</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q1</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q2</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q3</b></p></div></td></tr>
<tr>
<td class="first label"><div class="content">U.S. troop fatalities for the war in Iraq</div></td>
<td class="number lightblue" valign="top"><div class="content">25</div></td>
<td class="number lightblue" valign="top"><div class="content">23</div></td>
<td class="number lightestblue" valign="top"><div class="content">17</div></td>
<td class="number lightblue" valign="top"><div class="content">22</div></td>
<td class="number lightestblue" valign="top"><div class="content">14</div></td></tr>
<tr>
<td class="first label"><div class="content">U.S. troop fatalities for the war in Afghanistan (does not include the death of 5 CIA operatives in December 2009)</div></td>
<td class="number lightblue" valign="top"><div class="content">136</div></td>
<td class="number lightestblue" valign="top"><div class="content">90</div></td>
<td class="number lightestblue" valign="top"><div class="content">88</div></td>
<td class="number lightblue" valign="top"><div class="content">114</div></td>
<td class="number blue" valign="top"><div class="content">162</div></td></tr></tbody></table><!-- Table 3 Begins Here --><h2>"Blessings of Liberty"</h2>
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="second person" valign="top"><div class="content"><p><b>2009 Q3</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q4</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q1</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q2</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q3</b></p></div></td></tr>
<tr>
<td class="first label"><div class="content">President's approval rating</div></td>
<td class="number lightblue" valign="top"><div class="content">54%</div></td>
<td class="number lightblue" valign="top"><div class="content">51%</div></td>
<td class="number blue" valign="top"><div class="content">49%</div></td>
<td class="number blue" valign="top"><div class="content">48%</div></td>
<td class="number blue" valign="top"><div class="content">45%</div></td></tr>
<tr>
<td class="first label"><div class="content">Partisan gap</div></td>
<td class="number blue" valign="top"><div class="content">68%</div></td>
<td class="number blue" valign="top"><div class="content">67%</div></td>
<td class="number blue" valign="top"><div class="content">68%</div></td>
<td class="number blue" valign="top"><div class="content">69%</div></td>
<td class="number blue" valign="top"><div class="content">68%</div></td></tr>
<tr>
<td class="first label"><div class="content">Approval rating of Congress</div></td>
<td class="number lightestblue" valign="top"><div class="content">31%</div></td>
<td class="number lightblue" valign="top"><div class="content">24%</div></td>
<td class="number blue" valign="top"><div class="content">19%</div></td>
<td class="number blue" valign="top"><div class="content">21%</div></td>
<td class="number blue" valign="top"><div class="content">19%</div></td></tr>
<tr>
<td class="first label"><div class="content">"Satisfied with the way things are"</div></td>
<td class="number lightestblue" valign="top"><div class="content">32%</div></td>
<td class="number lightblue" valign="top"><div class="content">25%</div></td>
<td class="number blue" valign="top"><div class="content">22%</div></td>
<td class="number lightblue" valign="top"><div class="content">25%</div></td>
<td class="number blue" valign="top"><div class="content">20%</div></td></tr>
<tr>
<td class="first label"><div class="content">"Feel things in this country are generally going in the right direction"</div></td>
<td class="number lightblue" valign="top"><div class="content">39%</div></td>
<td class="number lightblue" valign="top"><div class="content">37%</div></td>
<td class="number lightblue" valign="top"><div class="content">35%</div></td>
<td class="number blue" valign="top"><div class="content">33%</div></td>
<td class="number blue" valign="top"><div class="content">33%</div></td></tr></tbody></table></div><p><img alt="" src="http://www.brookings.edu/i/interactivetable/key.gif"> </p><!-- =================================== --><!-- INSERT CHART HTML ABOVETHIS LINE    --><!-- ===================================  ============================== --><!-- ============================== --><!-- NARRATIVE CONTENT RESUMES HERE --><!-- ============================== --><!-- ============================== --><!-- ============================== --><a name="story"></a><a href="#sources">See data sources »</a> 
<br>&lt;/not-mobile&gt;
<br>Third-quarter data show that economic growth remained tepid for the second consecutive quarter. Nearly one in 10 workers is unemployed, and the 17 percent underemployment rate - which includes marginally attached workers and people employed part time for economic reasons - remains near its record high from last October. 
<br>
<br>The housing sector, which has often led the way out of past downturns, continues to be troubled. A series of government interventions over the past two years has helped modestly turn around home prices after a 33 percent decline, but a glut of homes persists even after two years of historically low housing construction. Millions of people have lost their homes to foreclosure the past few years, and a further drop in house prices could put even more borrowers underwater and at risk of losing their homes. 
<br>
<br>Meanwhile, confidence has slid further: Consumer sentiment declined in the third quarter to its lowest level in more than a year. The National Federation of Independent Business's Index of Small Business Optimism was down. The National Association of Home Builders' measure of builder confidence was just a tad above its historic lows of early 2009. 
<br>
<br>What do these measures suggest? First, that consumers and businesses share the view of economic forecasters that the prospects for a rapid recovery are dim. A high degree of uncertainty surrounds both our economic future and some issues of policy. Congress and the administration have not resolved whether, or to what degree, to allow the Bush tax cuts to expire as scheduled by year's end. The nation lacks long-term plans to address its deep debt. There has been little clarity on how or if the government will take on energy supply, climate change and immigration. 
<br>
<br>On issues of monetary policy, Federal Reserve leaders are talking about resuming their efforts to stimulate the economy by purchasing Treasury securities, but experts in and outside government continue to debate the size of the benefits and how to weigh them against the potential risks of inflation. 
<br>
<br>Political and governing concerns are driving uncertainty yet higher. Less than a third of voters felt the economic stimulus money hit the mark, an October <em>Washington Post </em>poll found, and 68 percent believed federal dollars were wasted. A <em>Newsweek </em>poll this month on the psychology of voter anger found that 68 percent are dissatisfied with the way things are going in the United States; economic conditions, not enough good-paying jobs, and low moral and ethical standards in particular provoked 
<br>anger. Neither party generates much confidence in its ability to address problems such as health care, energy or housing. 
<br>
<br>Although Republicans are poised to pick up a large number of congressional seats, gridlock is the safest prediction for the post-election Congress. Whichever party ends up controlling the House and the Senate will have narrow majorities, making governing a challenge. Other aspects of our highly polarized political environment strain chances for solid bargaining and negotiation. 
<br>
<br>The public's lack of confidence bears importantly on how the future unfolds. If people feel uncertain about the economy and political leaders' abilities, consumers may hold back on spending and businesses may delay hiring and investment. This combination inhibits economic growth and perpetuates dismal economic conditions. The midterm campaigns and third-quarter data underscore the difficulty of generating a cycle of growth and confidence in the face of national doubts and anxiety. 
<br>
<br><strong>See also:</strong> 
<br>» <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/metro/stateofmetroamerica.aspx">State of Metropolitan America</a>—portraying the demographic and social trends that shape our nation's metropolitan areas 
<br>» <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/governance/govwatch.aspx">GovWatch</a>—tracking the progress and performance of our institutions in economic recovery 
<br>» <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/metro/MetroMonitor.aspx">MetroMonitor</a>—a barometer of the health of America’s 100 largest metropolitan economies
<br>
<br></div><p><a name="sources"></a></p><h2>Sources:</h2><p><em>GDP growth:</em> 
<br>U.S. Bureau of Economic Analysis, NIPA Table 1.1.1, Retrieved October 29, 2010
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.bea.gov/national/nipaweb/SelectTable.asp">http://www.bea.gov/national/nipaweb/SelectTable.asp</a> 
<br>
<br><em>Unemployment rate:</em> 
<br>U.S. Bureau of Labor Statistics, Current Population Survey Unemployment Data, Retrieved October 18, 2010 
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.bls.gov/cps/">http://www.bls.gov/cps/</a> 
<br>
<br><em>Underemployment rate:</em> 
<br>U.S. Bureau of Labor Statistics, Current Population Survey U6 SA Data, Retrieved October 28, 2010
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.bls.gov/webapps/legacy/cpsatab15.htm">http://www.bls.gov/webapps/legacy/cpsatab15.htm
<br></a>
<br><em>Inflation rate:</em> 
<br>U.S. Bureau of Labor Statistics, Consumer Price Index, All Urban Consumers, Seasonally Adjusted, Retrieved October 18, 2010.  
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.bls.gov/CPI">http://www.bls.gov/CPI</a> 
<br>
<br><em>Consumer spending:</em> 
<br>U.S. Bureau of Economic Analysis, NIPA Table 2.3.1., October 29, 2010
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.bea.gov/National/nipaweb/index.asp">http://www.bea.gov/National/nipaweb/index.asp</a> 
<br>
<br><em>Dow Jones Industrial Average:</em> 
<br>Yahoo! Finance
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~finance.yahoo.com/q/hp?s=%5EDJI">http://finance.yahoo.com/q/hp?s=%5EDJI</a> 
<br>
<br><em>Reuters/University of Michigan Surveys of Consumers: 
<br></em>St Louis Federal Reserve, University of Michigan: Consumer Sentiment, Retrieved October 18, 2010
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~research.stlouisfed.org/fred2/series/UMCSENT/downloaddata?cid=98">http://research.stlouisfed.org/fred2/series/UMCSENT/downloaddata?cid=98</a>
<br>
<br><em>NFIB Small Business Optimism Index:
<br></em>National Federation of Independent Business; Small Business Economic Trends October 2010
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.nfib.com/Portals/0/PDF/sbet/SBET201010.pdf">http://www.nfib.com/Portals/0/PDF/sbet/SBET201010.pdf</a>
<br>
<br><em>NAHB/Wells Fargo Housing Market Index: 
<br></em>National Association of Home Builders; Retrieved October 22, 2010
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.nahb.org/reference_list.aspx?sectionID=134">http://www.nahb.org/reference_list.aspx?sectionID=134</a>
<br>
<br><em>S&amp;P/Case-Shiller Home Price Composite 10 Index: 
<br></em>Standard and Poors; S&amp;P/Case-Shiller Home Price Composite 10 Index; Retrieved October 28, 2010
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.standardandpoors.com/indices/sp-case-shiller-home-price-indices/en/us/?indexId=spusa-cashpidff--p-us">http://www.standardandpoors.com/indices/sp-case-shiller-home-price-indices/en/us/?indexId=spusa-cashpidff--p-us</a>----
<br>
<br><em>Months' Supply of New Homes:</em>
<br>Census Bureau, New Residential Sales; SA Months Supply at Current Rate; Retrieved October 29, 2010
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.census.gov/const/www/newressalesindex.html">http://www.census.gov/const/www/newressalesindex.html</a>
<br>
<br><em>Interest rate on 30-year fixed rate mortgage: 
<br></em>Freddie Mac, Primary Mortgage Market Survey, "Monthly Average Commitment Rate and Points on 30-year Fixed Rate Mortgages since 1971." 
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.freddiemac.com/pmms/pmms30.htm">http://www.freddiemac.com/pmms/pmms30.htm</a> 
<br>
<br><em>States Experiencing Increases in the Unemployment Rate:</em>
<br>Bureau of Labor Statistics, Local Area Unemployment Statistics; Retrieved October 29, 2010
<br>
<br><em>States Experiencing Increases in Total Employment:
<br></em>Bureau of Labor Statistics, Current Employment Statistics; Retrieved October 29, 2010
<br>
<br><em>Payroll employment in the D.C. and Las Vegas metro areas:</em> 
<br>Moody's Economy; Retrieved October 29, 2010
<br>
<br><em>U.S. War Fatalities:</em> 
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~icasualties.org/Iraq/index.aspx">http://icasualties.org/Iraq/index.aspx</a>
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~icasualties.org/OEF/ByMonth.aspx">http://icasualties.org/OEF/ByMonth.aspx</a> 
<br>
<br><em>The President's Approval Rating: 
<br></em>The Gallup Organization. “Presidential Approval.” Gallup Poll News Service; unpublished data from the Gallup Poll . "Presidential Approval Ratings – Barack Obama." Retrieved October 21, 2010
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.gallup.com/poll/116479/Barack-Obama-Presidential-Job-Approval.aspx">http://www.gallup.com/poll/116479/Barack-Obama-Presidential-Job-Approval.aspx</a>
<br><em>
<br>Partisan Gap:
<br></em>The Gallup Organization. “Presidential Approval.” Gallup Poll News Service; unpublished data from the Gallup Poll. "Presidential Approval Ratings – Barack Obama." Retrieved October 21, 2010, from The Gallup Poll
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.gallup.com/poll/116479/Barack-Obama-Presidential-Job-Approval.aspx">http://www.gallup.com/poll/116479/Barack-Obama-Presidential-Job-Approval.aspx</a>
<br>
<br><em>Approval rating of Congress: 
<br></em>The Gallup Organization. "Congress and the Public." Retrieved October 21, 2010, from The Gallup Poll
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.gallup.com/poll/1600/Congress-Public.aspx">http://www.gallup.com/poll/1600/Congress-Public.aspx</a>
<br>
<br><em>Average percent of Americans “satisfied with the way things are":
<br></em>The Gallup Organization. "Satisfaction with the United States." Retrieved October 21, 2010, from The Gallup Poll
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.gallup.com/poll/1669/General-Mood-Country.aspx">http://www.gallup.com/poll/1669/General-Mood-Country.aspx</a>
<br>
<br><em>Average percent of Americans who “feel things in this country are generally going in the right direction":
<br></em>CBS News/New York Times Poll. Oct. 21-26, 2010, "Do you feel things in this country are generally going in the right direction or do you feel things have pretty seriously gotten off on the wrong track?"; Retrieved October 29, 2010
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.pollingreport.com/right.htm">http://www.pollingreport.com/right.htm</a></p></div></p><h4>
		Downloads
	</h4><ul>
		<li><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/~/media/research/files/papers/2010/10/31-recovery-renewal/0228_how_were_doing_index.pdf">Download analysis and chart</a></li>
	</ul><div>
		<h4>
			Authors
		</h4><ul>
			<li><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/experts/dynank?view=bio">Karen Dynan</a></li><li><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/experts/gayert?view=bio">Ted Gayer</a></li><li><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/experts/westd?view=bio">Darrell M. West</a></li>
		</ul>
	</div><div>
		Publication: The Brookings Institution and The Washington Post
	</div><div>
		Image Source: © Lucy Nicholson / Reuters
	</div>
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<feedburner:origLink>http://www.brookings.edu/research/papers/2010/08/22-recovery-renewal?rssid=How+Were+Doing</feedburner:origLink><guid isPermaLink="false">{4B8A0825-B058-4D72-9AFF-9D307DFF8A28}</guid><link>http://webfeeds.brookings.edu/~/65487238/0/brookingsrss/series/howweredoing~How-We%e2%80%99re-Doing-Ahead-of-the-November-Elections</link><title>How We’re Doing Ahead of the November Elections</title><description><![CDATA[<div>
	<p><strong>Index #5: Last Five Quarters</strong> <br><br>Political polarization has risen, the economy is shaky and some states are on the brink of fiscal collapse. In the fifth “How We’re Doing” Index, a team of scholars at the Brookings Institution has looked at the past five quarters to ascertain what factors might trigger a major shake-up in November.<br><br><b>Related Materials:</b> <br><a href="http://www.brookings.edu/research/papers/2009/07/26-recovery-renewal" name="&lid={2F1CB453-EE44-4AC6-ACF0-815C5D342DC3}&lpos=loc:body">Index #1: A Composite Index of Global and National Trends »</a><br><a href="http://www.brookings.edu/research/papers/2009/11/15-recovery-renewal" name="&lid={395C4891-CA30-4C5B-9A7A-36BA8D1C5BC1}&lpos=loc:body">Index #2: What's Blocking the Recovery? » </a><br><a href="http://www.brookings.edu/research/papers/2010/02/28-recovery-renewal" name="&lid={A8BE4192-D46A-4FE8-8F4C-AAC5D0715DA5}&lpos=loc:body">Index #3: How We're Doing in the World » </a><br><a href="http://www.brookings.edu/research/papers/2010/05/23-recovery-renewal" name="&lid={1E18BDAA-6D6B-46D1-A223-0F85101F83EB}&lpos=loc:body">Index #4: How We're Doing as Debt Fears Rise »</a><br><a href="http://www.brookings.edu/multimedia/video-playlists/2010/08/20-west-index" name="&lid={90858F3E-DA10-4FD7-8CF6-C0F41772F2A3}&lpos=loc:body">Darrell West video on the Index »</a></p><p>&lt;not-mobile message="** To see the full indicator chart, please visit brookings.edu on your desktop **"&gt; <!-- INSERT CHART HTML BELOW THIS LINE   --><!-- =================================== --><div class="interactive_table"><div class="interactive_table"><!-- Table 1 Begins Here--><h2>"General Welfare"</h2><div class="interactive_table">
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="second person" valign="top"><div class="content"><p><b>2009 Q2</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q3</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q4</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q1</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q2</b></p></div></td></tr>
<tr>
<td class="first label"><div class="content">U.S. GDP growth, <em>annualized percent change</em></div></td>
<td class="number blue" valign="top"><div class="content">-0.7%</div></td>
<td class="number lightblue" valign="top"><div class="content">1.6%</div></td>
<td class="number white" valign="top"><div class="content">5.0%</div></td>
<td class="number lightestblue" valign="top"><div class="content">3.7%</div></td>
<td class="number lightblue lightblue_last" valign="top"><div class="content">2.4%</div></td></tr>
<tr>
<td class="first label"><div class="content">Unemployment rate</div></td>
<td class="number lightestblue" valign="top"><div class="content">9.3%</div></td>
<td class="number lightblue" valign="top"><div class="content">9.6%</div></td>
<td class="number blue" valign="top"><div class="content">10.0%</div></td>
<td class="number lightblue" valign="top"><div class="content">9.7%</div></td>
<td class="number lightblue lightblue_last" valign="top"><div class="content">9.7%</div></td></tr>
<tr>
<td class="first label"><div class="content">Inflation rate</div></td>
<td class="number slashed" valign="top"><div class="content">1.9%</div></td>
<td class="number slashed" valign="top"><div class="content">3.7%</div></td>
<td class="number slashed" valign="top"><div class="content">2.6%</div></td>
<td class="number slashed" valign="top"><div class="content">1.5%</div></td>
<td class="number slashed slashed_last" valign="top"><div class="content">-0.7%</div></td></tr>
<tr>
<td class="first label"><div class="content">Dow Jones industrial average</div></td>
<td class="number blue" valign="top"><div class="content">8447</div></td>
<td class="number lightblue" valign="top"><div class="content">9712</div></td>
<td class="number lightestblue" valign="top"><div class="content">10,428</div></td>
<td class="number white" valign="top"><div class="content">10,857</div></td>
<td class="number lightblue lightblue_last" valign="top"><div class="content">9774</div></td></tr>
<tr>
<td class="first label"><div class="content">Consumer spending, <em>annualized percent change</em></div></td>
<td class="number blue" valign="top"><div class="content">-1.6%</div></td>
<td class="number white" valign="top"><div class="content">2.0%</div></td>
<td class="number lightblue" valign="top"><div class="content">0.9%</div></td>
<td class="number white" valign="top"><div class="content">1.9%</div></td>
<td class="number lightestblue lightestblue_last" valign="top"><div class="content">1.6%</div></td></tr>
<tr>
<td class="first label"><div class="content">States Experiencing a Decline in Tax Revenue (year-to-year)</div></td>
<td class="number blue" valign="top"><div class="content">49</div></td>
<td class="number blue" valign="top"><div class="content">48</div></td>
<td class="number lightblue" valign="top"><div class="content">41</div></td>
<td class="number lightestblue" valign="top"><div class="content">34</div></td>
<td class="number slashed slashed_last" valign="top"><div class="content">N/A</div></td></tr>
<tr>
<td class="first label"><div class="content">States Experiencing Increases in Total Employment</div></td>
<td class="number blue" valign="top"><div class="content">2</div></td>
<td class="number blue" valign="top"><div class="content">2</div></td>
<td class="number lightblue" valign="top"><div class="content">14</div></td>
<td class="number lightestblue" valign="top"><div class="content">37</div></td>
<td class="number white white_last" valign="top"><div class="content">44</div></td></tr>
<tr>
<td class="first label"><div class="content">States Experiencing Increases in State/Local Government Employment</div></td>
<td class="number lightestblue" valign="top"><div class="content">26</div></td>
<td class="number lightblue" valign="top"><div class="content">15</div></td>
<td class="number lightestblue" valign="top"><div class="content">28</div></td>
<td class="number lightblue" valign="top"><div class="content">17</div></td>
<td class="number lightestblue lightestblue_last" valign="top"><div class="content">25</div></td></tr>
<tr>
<td class="first label"><div class="content">States Experiencing Increases in Unemployment Rate</div></td>
<td class="number blue" valign="top"><div class="content">49</div></td>
<td class="number lightblue" valign="top"><div class="content">32</div></td>
<td class="number lightestblue" valign="top"><div class="content">28</div></td>
<td class="number lightblue" valign="top"><div class="content">32</div></td>
<td class="number white white_last" valign="top"><div class="content">7</div></td></tr>
<tr>
<td class="first label"><div class="content">Total Non-Farm Payroll Employment, <em>annualized percent change</em></div></td>
<td class="number blue" valign="top"><div class="content">-5.0%</div></td>
<td class="number blue" valign="top"><div class="content">-3.1%</div></td>
<td class="number lightblue" valign="top"><div class="content">-1.3%</div></td>
<td class="number lightestblue" valign="top"><div class="content">0.2%</div></td>
<td class="number white white_last" valign="top"><div class="content">2.1%</div></td></tr>
<tr>
<td class="first label"><div class="content" align="right">... in the Cleveland Metro area</div></td>
<td class="number blue" valign="top"><div class="content">-1.17</div></td>
<td class="number lightblue" valign="top"><div class="content">-0.62</div></td>
<td class="number lightestblue" valign="top"><div class="content">0.26</div></td>
<td class="number white" valign="top"><div class="content">1.08</div></td>
<td class="number slashed slashed_last" valign="top"><div class="content">N/A</div></td></tr>
<tr>
<td class="first label"><div class="content" align="right">... in the Las Vegas Metro area</div></td>
<td class="number blue" valign="top"><div class="content">-1.97</div></td>
<td class="number lightblue" valign="top"><div class="content">-0.38</div></td>
<td class="number blue" valign="top"><div class="content">-1.17</div></td>
<td class="number lightblue" valign="top"><div class="content">-0.12</div></td>
<td class="number slashed slashed_last" valign="top"><div class="content">N/A</div></td></tr>
<tr>
<td class="first label"><div class="content" align="right">... in the D.C. Metro area</div></td>
<td class="number lightblue" valign="top"><div class="content">-0.37</div></td>
<td class="number lightblue" valign="top"><div class="content">-0.35</div></td>
<td class="number lightestblue" valign="top"><div class="content">0.16</div></td>
<td class="number white" valign="top"><div class="content">1.14</div></td>
<td class="number slashed slashed_last" valign="top"><div class="content">N/A</div></td></tr></tbody></table><!-- Table 2 Begins Here --><h2>"Common Defense"</h2>
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="second person" valign="top"><div class="content"><p><b>2009 Q2</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q3</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q4</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q1</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q2</b></p></div></td></tr>
<tr>
<td class="first label"><div class="content">U.S. Troop Casualties for the War in Iraq</div></td>
<td class="number blue" valign="top"><div class="content">59</div></td>
<td class="number lightblue" valign="top"><div class="content">25</div></td>
<td class="number lightblue" valign="top"><div class="content">23</div></td>
<td class="number lightestblue" valign="top"><div class="content">17</div></td>
<td class="number lightblue lightblue_last" valign="top"><div class="content">22</div></td></tr>
<tr>
<td class="first label"><div class="content">U.S. Troop Casualties for the War in Afghanistan</div></td>
<td class="number lightestblue" valign="top"><div class="content">43</div></td>
<td class="number blue" valign="top"><div class="content">136</div></td>
<td class="number lightblue" valign="top"><div class="content">90</div></td>
<td class="number lightblue" valign="top"><div class="content">88</div></td>
<td class="number blue blue_last" valign="top"><div class="content">114</div></td></tr></tbody></table><!-- Table 3 Begins Here --><h2>"Blessings of Liberty"</h2>
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="second person" valign="top"><div class="content"><p><b>2009 Q2</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q3</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q4</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q1</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q2</b></p></div></td></tr>
<tr>
<td class="first label"><div class="content">President's Approval Rating</div></td>
<td class="number white" valign="top"><div class="content">63%</div></td>
<td class="number lightestblue" valign="top"><div class="content">54%</div></td>
<td class="number lightblue" valign="top"><div class="content">51%</div></td>
<td class="number blue" valign="top"><div class="content">49%</div></td>
<td class="number blue blue_last" valign="top"><div class="content">48%</div></td></tr>
<tr>
<td class="first label"><div class="content">President's Approval Rating By Race:</div></td>
<td class="number white" colspan="5"><div class="content"></div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Hispanic</div></td>
<td class="number white" valign="top"><div class="content">79%</div></td>
<td class="number lightestblue" valign="top"><div class="content">71%</div></td>
<td class="number lightblue" valign="top"><div class="content">69%</div></td>
<td class="number lightblue" valign="top"><div class="content">66%</div></td>
<td class="number blue blue_last" valign="top"><div class="content">59%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Black</div></td>
<td class="number white" valign="top"><div class="content">93%</div></td>
<td class="number white" valign="top"><div class="content">93%</div></td>
<td class="number lightestblue" valign="top"><div class="content">91%</div></td>
<td class="number lightestblue" valign="top"><div class="content">91%</div></td>
<td class="number lightestblue lightestblue_last" valign="top"><div class="content">91%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">White</div></td>
<td class="number white" valign="top"><div class="content">56%</div></td>
<td class="number lightestblue" valign="top"><div class="content">46%</div></td>
<td class="number lightblue" valign="top"><div class="content">43%</div></td>
<td class="number lightblue" valign="top"><div class="content">41%</div></td>
<td class="number blue blue_last" valign="top"><div class="content">40%</div></td></tr>
<tr>
<td class="first label"><div class="content">President's Approval Rating By Party:</div></td>
<td class="number white" colspan="5"><div class="content"></div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Democrat</div></td>
<td class="number white" valign="top"><div class="content">90%</div></td>
<td class="number lightestblue" valign="top"><div class="content">87%</div></td>
<td class="number lightblue" valign="top"><div class="content">84%</div></td>
<td class="number lightblue" valign="top"><div class="content">83%</div></td>
<td class="number lightblue lightblue_last" valign="top"><div class="content">82%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Republican</div></td>
<td class="number white" valign="top"><div class="content">27%</div></td>
<td class="number lightestblue" valign="top"><div class="content">19%</div></td>
<td class="number lightestblue" valign="top"><div class="content">17%</div></td>
<td class="number lightblue" valign="top"><div class="content">15%</div></td>
<td class="number blue blue_last" valign="top"><div class="content">13%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Independent</div></td>
<td class="number white" valign="top"><div class="content">61%</div></td>
<td class="number lightestblue" valign="top"><div class="content">49%</div></td>
<td class="number lightblue" valign="top"><div class="content">47%</div></td>
<td class="number lightblue" valign="top"><div class="content">45%</div></td>
<td class="number lightblue lightblue_last" valign="top"><div class="content">44%</div></td></tr>
<tr>
<td class="first label"><div class="content">Approval rating of Congress</div></td>
<td class="number white" valign="top"><div class="content">35%</div></td>
<td class="number lightestblue" valign="top"><div class="content">31%</div></td>
<td class="number lightblue" valign="top"><div class="content">24%</div></td>
<td class="number blue" valign="top"><div class="content">19%</div></td>
<td class="number lightblue lightblue_last" valign="top"><div class="content">21%</div></td></tr>
<tr>
<td class="first label"><div class="content">"Satisfied with the way things are"</div></td>
<td class="number lightestblue" valign="top"><div class="content">32%</div></td>
<td class="number lightestblue" valign="top"><div class="content">32%</div></td>
<td class="number lightblue" valign="top"><div class="content">25%</div></td>
<td class="number blue" valign="top"><div class="content">22%</div></td>
<td class="number lightblue lightblue_last" valign="top"><div class="content">25%</div></td></tr>
<tr>
<td class="first label"><div class="content">Partisan Gap</div></td>
<td class="number lightestblue" valign="top"><div class="content">63%</div></td>
<td class="number lightblue" valign="top"><div class="content">68%</div></td>
<td class="number lightblue" valign="top"><div class="content">67%</div></td>
<td class="number lightblue" valign="top"><div class="content">68%</div></td>
<td class="number lightblue lightblue_last" valign="top"><div class="content">69%</div></td></tr></tbody></table></div><!-- =================================== --><!-- INSERT CHART HTML ABOVETHIS LINE    --><p><img alt="" src="/i/interactivetable/key.gif"> </p><!-- ============================== --><!-- NARRATIVE CONTENT RESUMES HERE --><!-- ============================== --><!-- ============================== --><!-- ============================== --><a href="#sources">See data sources »</a> <br>&lt;/not-mobile&gt;<br><br>It does not bode well for incumbents that as of mid-July, only 25 percent of Americans say they are satisfied with the state of the country. Political polarization remains extremely high: There is an astounding 69 percentage point difference between Republican and Democratic approval of President Obama’s performance. The president’s overall approval rating has dropped 15 percentage points over the past year, and Congress’s approval rating has dropped 14 points. This striking polarization and the shift in independents’ support could be major factors in the midterm elections. <br><br>The administration raised hopes broadly about ending partisanship, and support for Obama among Democrats, Republicans and independents was high in the first two quarters of 2009, before dropping last summer. Bipartisanship, of course, is a two-way street, and over the past five quarters Republicans have mostly been unwilling to support the president’s initiatives. For his part, Obama invoked bipartisanship a great deal, but the public saw little in action. His signature effort at bipartisanship was a rare event: the Blair House summit on health-care reform. <br><br>Perhaps more troubling for the White House is its decline among independents; their approval of the president’s performance has fallen 17 points over the past year. Factors for the decline include the flagging economy and failure to bridge the partisan divide. And while many have focused on the president’s decline in general popularity among white voters, his ratings among Hispanic voters have taken a comparative freefall — despite the administration’s support for immigration reform and its response to Arizona’s immigration law. <br><br>Over the past year, Obama scored major legislative victories on health care and financial reform. But polarization in Congress has stymied efforts to address such pressing problems as climate change, energy conservation, immigration and campaign finance. High unemployment persists: 20 states have unemployment rates greater than 9 percent, and the levels are higher in some key metropolitan areas. Big portions of the country are still experiencing recession-like conditions, which limit states’s ability to deal with housing, education and transportation issues. U.S. real gross domestic product increased at an annual rate of only 2.4 percent in the second quarter. This weak recovery in growth makes it difficult to substantially reduce unemployment. <br><br>With 37 gubernatorial races this year, more than two-thirds of the states could have new leadership. In the face of federal inaction, states and metro areas have become the real innovators in U.S. politics. Officials in the Kansas City metro area, the Bay Area, the Puget Sound region of Washington and greater Chicago, for example, have developed collaborative plans for maximizing their Recovery Act funds and state spending on energy efficiency, foreclosure responses and “green” jobs. Many gubernatorial candidates are emphasizing job creation, particularly through boosting exports. Almost all states and municipalities are required to balance their budgets, which forces them to make pragmatic decisions on taxes and spending. They do not have the luxury of doing nothing. <br><br>The situation abroad is mixed. The president seems committed to reducing the U.S. troop presence in Iraq, though violence there persists. And the Afghanistan conflict continues to trouble many Americans and had been exacerbated by troubles in Pakistan even before the recent flooding. It is unclear whether the governments of those nations have the institutional will and capacity to deliver security and services to their people.<br><br>Overseas conflicts, the shaky U.S. economy and low trust in government make this a challenging election season for incumbents, particularly Democrats. The extremely high “partisan gap” makes it imperative for those elected to work across party lines if they hope to make big policy changes. <br><br><strong>See also:</strong> <br>» <a href="/metro/stateofmetroamerica.aspx">State of Metropolitan America</a>—portraying the demographic and social trends that shape our nation's metropolitan areas <br>» <a href="/metro/MetroExports.aspx">Export Nation</a>—analyzing exports of goods and services in our nation's 100 largest metropolitan areas <br>» <a href="/governance/govwatch.aspx">GovWatch</a>—tracking the progress and performance of our institutions in economic recovery <br>» <a href="/metro/MetroMonitor.aspx">MetroMonitor</a>—a barometer of the health of America’s 100 largest metropolitan economies<br></div><p><a name="sources"></a></p><h2>Sources:</h2><p><i>GDP growth:</i> <br>U.S. Bureau of Economic Analysis, NIPA Table 1.1.1. July 2010. <br><a href="http://www.bea.gov/national/nipaweb/SelectTable.asp">http://www.bea.gov/national/nipaweb/SelectTable.asp</a><br><br><i>Unemployment rate:</i> <br>U.S. Bureau of Labor Statistics, Current Population Survey Unemployment Data. <br><a href="http://data.bls.gov/cgi-bin/surveymost?ln">http://data.bls.gov/cgi-bin/surveymost?ln</a><br><br><i>Inflation rate:</i> <br>Bureau of Labor Statistics, Consumer Price Index, All Urban Consumers, Seasonally Adjusted. <br><a href="http://www.bls.gov/CPI">http://www.bls.gov/CPI</a> <br><br><i>Consumer spending:</i> <br>U.S. Bureau of Economic Analysis, NIPA Table 2.3.1. <br><a href="http://www.bea.gov/National/nipaweb/index.asp">http://www.bea.gov/National/nipaweb/index.asp</a> <br><br><i>U.S.</i><i> War Fatalities:</i> <br>Department of Defense. <br><a href="http://icasualties.org/">http://icasualties.org</a></p><p><i>Approval rating of the presidency (and difference between Democrats and Republicans):</i> <br>The Gallup Organization. "Presidential Approval Ratings - Barack Obama." Retrieved 21 July 2010 from The Gallup Poll website. <br><a href="http://www.gallup.com/poll/116479/Barack-Obama-Presidential-Job-Approval.aspx">http://www.gallup.com/poll/116479/Barack-Obama-Presidential-Job-Approval.aspx</a></p><p><i>Approval rating of Congress:</i> <br>The Gallup Organization. "Congress and the Public." Retrieved 21 July 2010, from The Gallup Poll. <br><a href="http://www.gallup.com/poll/1600/Congress-Public.aspx">http://www.gallup.com/poll/1600/Congress-Public.aspx</a> </p><p><i>National employment:<br></i>U.S. Bureau of Labor Statistics, Current Employment Statistics survey Employment Data, Retrieved August 8, 2010<br><a href="http://data.bls.gov/cgi-bin/surveymost?ce">http://data.bls.gov/cgi-bin/surveymost?ce</a><a href="http://data.bls.gov/cgi-bin/surveymost?ln"></a></p><p><i>Payroll employment at the state level:</i> <br>U.S. Bureau of Labor Statistics, State and Metro Area Employment Statistics. <br><a href="http://www.bls.gov/sae/#data">http://www.bls.gov/sae/#data</a> <br><i><br>State-level tax data:<br></i>Rockefeller Institute of Government<br><a href="http://www.rockinst.org/government_finance/">http://www.rockinst.org/government_finance/</a></p><p><i>Payroll employment in the DC, Las Vegas, and Cleveland metro areas:<br></i>Moody’s Analytics<br><a href="http://www.economy.com/">www.Economy.com</a></p></div></p><div>
		<h4>
			Authors
		</h4><ul>
			<li><a href="http://www.brookings.edu/experts/antholisw?view=bio">William J. Antholis</a></li><li><a href="http://www.brookings.edu/experts/westd?view=bio">Darrell M. West</a></li>
		</ul>
	</div><div>
		Publication: The Brookings Institution and The Washington Post
	</div>
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</description><pubDate>Sun, 22 Aug 2010 14:17:00 -0400</pubDate><dc:creator>William J. Antholis and Darrell M. West</dc:creator><content:encoded><![CDATA[<div>
	<p><strong>Index #5: Last Five Quarters</strong> 
<br>
<br>Political polarization has risen, the economy is shaky and some states are on the brink of fiscal collapse. In the fifth “How We’re Doing” Index, a team of scholars at the Brookings Institution has looked at the past five quarters to ascertain what factors might trigger a major shake-up in November.
<br>
<br><b>Related Materials:</b> 
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/research/papers/2009/07/26-recovery-renewal" name="&lid={2F1CB453-EE44-4AC6-ACF0-815C5D342DC3}&lpos=loc:body">Index #1: A Composite Index of Global and National Trends »</a>
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/research/papers/2009/11/15-recovery-renewal" name="&lid={395C4891-CA30-4C5B-9A7A-36BA8D1C5BC1}&lpos=loc:body">Index #2: What's Blocking the Recovery? » </a>
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/research/papers/2010/02/28-recovery-renewal" name="&lid={A8BE4192-D46A-4FE8-8F4C-AAC5D0715DA5}&lpos=loc:body">Index #3: How We're Doing in the World » </a>
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/research/papers/2010/05/23-recovery-renewal" name="&lid={1E18BDAA-6D6B-46D1-A223-0F85101F83EB}&lpos=loc:body">Index #4: How We're Doing as Debt Fears Rise »</a>
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/multimedia/video-playlists/2010/08/20-west-index" name="&lid={90858F3E-DA10-4FD7-8CF6-C0F41772F2A3}&lpos=loc:body">Darrell West video on the Index »</a></p><p>&lt;not-mobile message="** To see the full indicator chart, please visit brookings.edu on your desktop **"&gt; <!-- INSERT CHART HTML BELOW THIS LINE   --><!-- =================================== --><div class="interactive_table"><div class="interactive_table"><!-- Table 1 Begins Here--><h2>"General Welfare"</h2><div class="interactive_table">
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="second person" valign="top"><div class="content"><p><b>2009 Q2</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q3</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q4</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q1</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q2</b></p></div></td></tr>
<tr>
<td class="first label"><div class="content">U.S. GDP growth, <em>annualized percent change</em></div></td>
<td class="number blue" valign="top"><div class="content">-0.7%</div></td>
<td class="number lightblue" valign="top"><div class="content">1.6%</div></td>
<td class="number white" valign="top"><div class="content">5.0%</div></td>
<td class="number lightestblue" valign="top"><div class="content">3.7%</div></td>
<td class="number lightblue lightblue_last" valign="top"><div class="content">2.4%</div></td></tr>
<tr>
<td class="first label"><div class="content">Unemployment rate</div></td>
<td class="number lightestblue" valign="top"><div class="content">9.3%</div></td>
<td class="number lightblue" valign="top"><div class="content">9.6%</div></td>
<td class="number blue" valign="top"><div class="content">10.0%</div></td>
<td class="number lightblue" valign="top"><div class="content">9.7%</div></td>
<td class="number lightblue lightblue_last" valign="top"><div class="content">9.7%</div></td></tr>
<tr>
<td class="first label"><div class="content">Inflation rate</div></td>
<td class="number slashed" valign="top"><div class="content">1.9%</div></td>
<td class="number slashed" valign="top"><div class="content">3.7%</div></td>
<td class="number slashed" valign="top"><div class="content">2.6%</div></td>
<td class="number slashed" valign="top"><div class="content">1.5%</div></td>
<td class="number slashed slashed_last" valign="top"><div class="content">-0.7%</div></td></tr>
<tr>
<td class="first label"><div class="content">Dow Jones industrial average</div></td>
<td class="number blue" valign="top"><div class="content">8447</div></td>
<td class="number lightblue" valign="top"><div class="content">9712</div></td>
<td class="number lightestblue" valign="top"><div class="content">10,428</div></td>
<td class="number white" valign="top"><div class="content">10,857</div></td>
<td class="number lightblue lightblue_last" valign="top"><div class="content">9774</div></td></tr>
<tr>
<td class="first label"><div class="content">Consumer spending, <em>annualized percent change</em></div></td>
<td class="number blue" valign="top"><div class="content">-1.6%</div></td>
<td class="number white" valign="top"><div class="content">2.0%</div></td>
<td class="number lightblue" valign="top"><div class="content">0.9%</div></td>
<td class="number white" valign="top"><div class="content">1.9%</div></td>
<td class="number lightestblue lightestblue_last" valign="top"><div class="content">1.6%</div></td></tr>
<tr>
<td class="first label"><div class="content">States Experiencing a Decline in Tax Revenue (year-to-year)</div></td>
<td class="number blue" valign="top"><div class="content">49</div></td>
<td class="number blue" valign="top"><div class="content">48</div></td>
<td class="number lightblue" valign="top"><div class="content">41</div></td>
<td class="number lightestblue" valign="top"><div class="content">34</div></td>
<td class="number slashed slashed_last" valign="top"><div class="content">N/A</div></td></tr>
<tr>
<td class="first label"><div class="content">States Experiencing Increases in Total Employment</div></td>
<td class="number blue" valign="top"><div class="content">2</div></td>
<td class="number blue" valign="top"><div class="content">2</div></td>
<td class="number lightblue" valign="top"><div class="content">14</div></td>
<td class="number lightestblue" valign="top"><div class="content">37</div></td>
<td class="number white white_last" valign="top"><div class="content">44</div></td></tr>
<tr>
<td class="first label"><div class="content">States Experiencing Increases in State/Local Government Employment</div></td>
<td class="number lightestblue" valign="top"><div class="content">26</div></td>
<td class="number lightblue" valign="top"><div class="content">15</div></td>
<td class="number lightestblue" valign="top"><div class="content">28</div></td>
<td class="number lightblue" valign="top"><div class="content">17</div></td>
<td class="number lightestblue lightestblue_last" valign="top"><div class="content">25</div></td></tr>
<tr>
<td class="first label"><div class="content">States Experiencing Increases in Unemployment Rate</div></td>
<td class="number blue" valign="top"><div class="content">49</div></td>
<td class="number lightblue" valign="top"><div class="content">32</div></td>
<td class="number lightestblue" valign="top"><div class="content">28</div></td>
<td class="number lightblue" valign="top"><div class="content">32</div></td>
<td class="number white white_last" valign="top"><div class="content">7</div></td></tr>
<tr>
<td class="first label"><div class="content">Total Non-Farm Payroll Employment, <em>annualized percent change</em></div></td>
<td class="number blue" valign="top"><div class="content">-5.0%</div></td>
<td class="number blue" valign="top"><div class="content">-3.1%</div></td>
<td class="number lightblue" valign="top"><div class="content">-1.3%</div></td>
<td class="number lightestblue" valign="top"><div class="content">0.2%</div></td>
<td class="number white white_last" valign="top"><div class="content">2.1%</div></td></tr>
<tr>
<td class="first label"><div class="content" align="right">... in the Cleveland Metro area</div></td>
<td class="number blue" valign="top"><div class="content">-1.17</div></td>
<td class="number lightblue" valign="top"><div class="content">-0.62</div></td>
<td class="number lightestblue" valign="top"><div class="content">0.26</div></td>
<td class="number white" valign="top"><div class="content">1.08</div></td>
<td class="number slashed slashed_last" valign="top"><div class="content">N/A</div></td></tr>
<tr>
<td class="first label"><div class="content" align="right">... in the Las Vegas Metro area</div></td>
<td class="number blue" valign="top"><div class="content">-1.97</div></td>
<td class="number lightblue" valign="top"><div class="content">-0.38</div></td>
<td class="number blue" valign="top"><div class="content">-1.17</div></td>
<td class="number lightblue" valign="top"><div class="content">-0.12</div></td>
<td class="number slashed slashed_last" valign="top"><div class="content">N/A</div></td></tr>
<tr>
<td class="first label"><div class="content" align="right">... in the D.C. Metro area</div></td>
<td class="number lightblue" valign="top"><div class="content">-0.37</div></td>
<td class="number lightblue" valign="top"><div class="content">-0.35</div></td>
<td class="number lightestblue" valign="top"><div class="content">0.16</div></td>
<td class="number white" valign="top"><div class="content">1.14</div></td>
<td class="number slashed slashed_last" valign="top"><div class="content">N/A</div></td></tr></tbody></table><!-- Table 2 Begins Here --><h2>"Common Defense"</h2>
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="second person" valign="top"><div class="content"><p><b>2009 Q2</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q3</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q4</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q1</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q2</b></p></div></td></tr>
<tr>
<td class="first label"><div class="content">U.S. Troop Casualties for the War in Iraq</div></td>
<td class="number blue" valign="top"><div class="content">59</div></td>
<td class="number lightblue" valign="top"><div class="content">25</div></td>
<td class="number lightblue" valign="top"><div class="content">23</div></td>
<td class="number lightestblue" valign="top"><div class="content">17</div></td>
<td class="number lightblue lightblue_last" valign="top"><div class="content">22</div></td></tr>
<tr>
<td class="first label"><div class="content">U.S. Troop Casualties for the War in Afghanistan</div></td>
<td class="number lightestblue" valign="top"><div class="content">43</div></td>
<td class="number blue" valign="top"><div class="content">136</div></td>
<td class="number lightblue" valign="top"><div class="content">90</div></td>
<td class="number lightblue" valign="top"><div class="content">88</div></td>
<td class="number blue blue_last" valign="top"><div class="content">114</div></td></tr></tbody></table><!-- Table 3 Begins Here --><h2>"Blessings of Liberty"</h2>
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="second person" valign="top"><div class="content"><p><b>2009 Q2</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q3</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q4</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q1</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q2</b></p></div></td></tr>
<tr>
<td class="first label"><div class="content">President's Approval Rating</div></td>
<td class="number white" valign="top"><div class="content">63%</div></td>
<td class="number lightestblue" valign="top"><div class="content">54%</div></td>
<td class="number lightblue" valign="top"><div class="content">51%</div></td>
<td class="number blue" valign="top"><div class="content">49%</div></td>
<td class="number blue blue_last" valign="top"><div class="content">48%</div></td></tr>
<tr>
<td class="first label"><div class="content">President's Approval Rating By Race:</div></td>
<td class="number white" colspan="5"><div class="content"></div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Hispanic</div></td>
<td class="number white" valign="top"><div class="content">79%</div></td>
<td class="number lightestblue" valign="top"><div class="content">71%</div></td>
<td class="number lightblue" valign="top"><div class="content">69%</div></td>
<td class="number lightblue" valign="top"><div class="content">66%</div></td>
<td class="number blue blue_last" valign="top"><div class="content">59%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Black</div></td>
<td class="number white" valign="top"><div class="content">93%</div></td>
<td class="number white" valign="top"><div class="content">93%</div></td>
<td class="number lightestblue" valign="top"><div class="content">91%</div></td>
<td class="number lightestblue" valign="top"><div class="content">91%</div></td>
<td class="number lightestblue lightestblue_last" valign="top"><div class="content">91%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">White</div></td>
<td class="number white" valign="top"><div class="content">56%</div></td>
<td class="number lightestblue" valign="top"><div class="content">46%</div></td>
<td class="number lightblue" valign="top"><div class="content">43%</div></td>
<td class="number lightblue" valign="top"><div class="content">41%</div></td>
<td class="number blue blue_last" valign="top"><div class="content">40%</div></td></tr>
<tr>
<td class="first label"><div class="content">President's Approval Rating By Party:</div></td>
<td class="number white" colspan="5"><div class="content"></div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Democrat</div></td>
<td class="number white" valign="top"><div class="content">90%</div></td>
<td class="number lightestblue" valign="top"><div class="content">87%</div></td>
<td class="number lightblue" valign="top"><div class="content">84%</div></td>
<td class="number lightblue" valign="top"><div class="content">83%</div></td>
<td class="number lightblue lightblue_last" valign="top"><div class="content">82%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Republican</div></td>
<td class="number white" valign="top"><div class="content">27%</div></td>
<td class="number lightestblue" valign="top"><div class="content">19%</div></td>
<td class="number lightestblue" valign="top"><div class="content">17%</div></td>
<td class="number lightblue" valign="top"><div class="content">15%</div></td>
<td class="number blue blue_last" valign="top"><div class="content">13%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Independent</div></td>
<td class="number white" valign="top"><div class="content">61%</div></td>
<td class="number lightestblue" valign="top"><div class="content">49%</div></td>
<td class="number lightblue" valign="top"><div class="content">47%</div></td>
<td class="number lightblue" valign="top"><div class="content">45%</div></td>
<td class="number lightblue lightblue_last" valign="top"><div class="content">44%</div></td></tr>
<tr>
<td class="first label"><div class="content">Approval rating of Congress</div></td>
<td class="number white" valign="top"><div class="content">35%</div></td>
<td class="number lightestblue" valign="top"><div class="content">31%</div></td>
<td class="number lightblue" valign="top"><div class="content">24%</div></td>
<td class="number blue" valign="top"><div class="content">19%</div></td>
<td class="number lightblue lightblue_last" valign="top"><div class="content">21%</div></td></tr>
<tr>
<td class="first label"><div class="content">"Satisfied with the way things are"</div></td>
<td class="number lightestblue" valign="top"><div class="content">32%</div></td>
<td class="number lightestblue" valign="top"><div class="content">32%</div></td>
<td class="number lightblue" valign="top"><div class="content">25%</div></td>
<td class="number blue" valign="top"><div class="content">22%</div></td>
<td class="number lightblue lightblue_last" valign="top"><div class="content">25%</div></td></tr>
<tr>
<td class="first label"><div class="content">Partisan Gap</div></td>
<td class="number lightestblue" valign="top"><div class="content">63%</div></td>
<td class="number lightblue" valign="top"><div class="content">68%</div></td>
<td class="number lightblue" valign="top"><div class="content">67%</div></td>
<td class="number lightblue" valign="top"><div class="content">68%</div></td>
<td class="number lightblue lightblue_last" valign="top"><div class="content">69%</div></td></tr></tbody></table></div><!-- =================================== --><!-- INSERT CHART HTML ABOVETHIS LINE    --><p><img alt="" src="http://www.brookings.edu/i/interactivetable/key.gif"> </p><!-- ============================== --><!-- NARRATIVE CONTENT RESUMES HERE --><!-- ============================== --><!-- ============================== --><!-- ============================== --><a href="#sources">See data sources »</a> 
<br>&lt;/not-mobile&gt;
<br>
<br>It does not bode well for incumbents that as of mid-July, only 25 percent of Americans say they are satisfied with the state of the country. Political polarization remains extremely high: There is an astounding 69 percentage point difference between Republican and Democratic approval of President Obama’s performance. The president’s overall approval rating has dropped 15 percentage points over the past year, and Congress’s approval rating has dropped 14 points. This striking polarization and the shift in independents’ support could be major factors in the midterm elections. 
<br>
<br>The administration raised hopes broadly about ending partisanship, and support for Obama among Democrats, Republicans and independents was high in the first two quarters of 2009, before dropping last summer. Bipartisanship, of course, is a two-way street, and over the past five quarters Republicans have mostly been unwilling to support the president’s initiatives. For his part, Obama invoked bipartisanship a great deal, but the public saw little in action. His signature effort at bipartisanship was a rare event: the Blair House summit on health-care reform. 
<br>
<br>Perhaps more troubling for the White House is its decline among independents; their approval of the president’s performance has fallen 17 points over the past year. Factors for the decline include the flagging economy and failure to bridge the partisan divide. And while many have focused on the president’s decline in general popularity among white voters, his ratings among Hispanic voters have taken a comparative freefall — despite the administration’s support for immigration reform and its response to Arizona’s immigration law. 
<br>
<br>Over the past year, Obama scored major legislative victories on health care and financial reform. But polarization in Congress has stymied efforts to address such pressing problems as climate change, energy conservation, immigration and campaign finance. High unemployment persists: 20 states have unemployment rates greater than 9 percent, and the levels are higher in some key metropolitan areas. Big portions of the country are still experiencing recession-like conditions, which limit states’s ability to deal with housing, education and transportation issues. U.S. real gross domestic product increased at an annual rate of only 2.4 percent in the second quarter. This weak recovery in growth makes it difficult to substantially reduce unemployment. 
<br>
<br>With 37 gubernatorial races this year, more than two-thirds of the states could have new leadership. In the face of federal inaction, states and metro areas have become the real innovators in U.S. politics. Officials in the Kansas City metro area, the Bay Area, the Puget Sound region of Washington and greater Chicago, for example, have developed collaborative plans for maximizing their Recovery Act funds and state spending on energy efficiency, foreclosure responses and “green” jobs. Many gubernatorial candidates are emphasizing job creation, particularly through boosting exports. Almost all states and municipalities are required to balance their budgets, which forces them to make pragmatic decisions on taxes and spending. They do not have the luxury of doing nothing. 
<br>
<br>The situation abroad is mixed. The president seems committed to reducing the U.S. troop presence in Iraq, though violence there persists. And the Afghanistan conflict continues to trouble many Americans and had been exacerbated by troubles in Pakistan even before the recent flooding. It is unclear whether the governments of those nations have the institutional will and capacity to deliver security and services to their people.
<br>
<br>Overseas conflicts, the shaky U.S. economy and low trust in government make this a challenging election season for incumbents, particularly Democrats. The extremely high “partisan gap” makes it imperative for those elected to work across party lines if they hope to make big policy changes. 
<br>
<br><strong>See also:</strong> 
<br>» <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/metro/stateofmetroamerica.aspx">State of Metropolitan America</a>—portraying the demographic and social trends that shape our nation's metropolitan areas 
<br>» <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/metro/MetroExports.aspx">Export Nation</a>—analyzing exports of goods and services in our nation's 100 largest metropolitan areas 
<br>» <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/governance/govwatch.aspx">GovWatch</a>—tracking the progress and performance of our institutions in economic recovery 
<br>» <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/metro/MetroMonitor.aspx">MetroMonitor</a>—a barometer of the health of America’s 100 largest metropolitan economies
<br></div><p><a name="sources"></a></p><h2>Sources:</h2><p><i>GDP growth:</i> 
<br>U.S. Bureau of Economic Analysis, NIPA Table 1.1.1. July 2010. 
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.bea.gov/national/nipaweb/SelectTable.asp">http://www.bea.gov/national/nipaweb/SelectTable.asp</a>
<br>
<br><i>Unemployment rate:</i> 
<br>U.S. Bureau of Labor Statistics, Current Population Survey Unemployment Data. 
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~data.bls.gov/cgi-bin/surveymost?ln">http://data.bls.gov/cgi-bin/surveymost?ln</a>
<br>
<br><i>Inflation rate:</i> 
<br>Bureau of Labor Statistics, Consumer Price Index, All Urban Consumers, Seasonally Adjusted. 
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.bls.gov/CPI">http://www.bls.gov/CPI</a> 
<br>
<br><i>Consumer spending:</i> 
<br>U.S. Bureau of Economic Analysis, NIPA Table 2.3.1. 
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.bea.gov/National/nipaweb/index.asp">http://www.bea.gov/National/nipaweb/index.asp</a> 
<br>
<br><i>U.S.</i><i> War Fatalities:</i> 
<br>Department of Defense. 
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~icasualties.org/">http://icasualties.org</a></p><p><i>Approval rating of the presidency (and difference between Democrats and Republicans):</i> 
<br>The Gallup Organization. "Presidential Approval Ratings - Barack Obama." Retrieved 21 July 2010 from The Gallup Poll website. 
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.gallup.com/poll/116479/Barack-Obama-Presidential-Job-Approval.aspx">http://www.gallup.com/poll/116479/Barack-Obama-Presidential-Job-Approval.aspx</a></p><p><i>Approval rating of Congress:</i> 
<br>The Gallup Organization. "Congress and the Public." Retrieved 21 July 2010, from The Gallup Poll. 
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.gallup.com/poll/1600/Congress-Public.aspx">http://www.gallup.com/poll/1600/Congress-Public.aspx</a> </p><p><i>National employment:
<br></i>U.S. Bureau of Labor Statistics, Current Employment Statistics survey Employment Data, Retrieved August 8, 2010
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~data.bls.gov/cgi-bin/surveymost?ce">http://data.bls.gov/cgi-bin/surveymost?ce</a><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~data.bls.gov/cgi-bin/surveymost?ln"></a></p><p><i>Payroll employment at the state level:</i> 
<br>U.S. Bureau of Labor Statistics, State and Metro Area Employment Statistics. 
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.bls.gov/sae/#data">http://www.bls.gov/sae/#data</a> 
<br><i>
<br>State-level tax data:
<br></i>Rockefeller Institute of Government
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.rockinst.org/government_finance/">http://www.rockinst.org/government_finance/</a></p><p><i>Payroll employment in the DC, Las Vegas, and Cleveland metro areas:
<br></i>Moody’s Analytics
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.economy.com/">www.Economy.com</a></p></div></p><div>
		<h4>
			Authors
		</h4><ul>
			<li><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/experts/antholisw?view=bio">William J. Antholis</a></li><li><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/experts/westd?view=bio">Darrell M. West</a></li>
		</ul>
	</div><div>
		Publication: The Brookings Institution and The Washington Post
	</div>
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<feedburner:origLink>http://www.brookings.edu/research/papers/2010/05/23-recovery-renewal?rssid=How+Were+Doing</feedburner:origLink><guid isPermaLink="false">{1E18BDAA-6D6B-46D1-A223-0F85101F83EB}</guid><link>http://webfeeds.brookings.edu/~/65487239/0/brookingsrss/series/howweredoing~How-Were-Doing-as-Debt-Fears-Rise</link><title>How We're Doing as Debt Fears Rise</title><description><![CDATA[<div>
	<img src="http://www.brookings.edu/~/media/research/images/w/wa%20we/wall_street005_16x9.jpg?w=120" alt="" border="0" /><br /><p><strong>Index #4: Last Five Quarters</strong> <br><br>With the worst of the credit crunch of 2008-09 behind us, U.S. economic activity has been improving since last summer. Greece’s recent fiscal problems, however, have sparked serious concerns about global credit markets. A central lesson of the financial crisis is that disruptions in credit markets can damage the broader economy. In the fourth “How We’re Doing” Index, a team of scholars at the Brookings Institution has looked at the past five quarters to determine where U.S. credit markets stand and what strains may arise from long-term fiscal imbalances.&lt;not-mobile message=""&gt;  <a href="#story">Continue reading below chart »</a> &lt;/not-mobile&gt;<br><br><b>Related Materials:</b> <br>» <a href="http://www.brookings.edu/papers/2009/0726_recovery_renewal.aspx">Index #1: A Composite Index of Global and National Trends »</a> <br>» <a href="http://www.brookings.edu/research/papers/2009/11/15-recovery-renewal" name="&lid={395C4891-CA30-4C5B-9A7A-36BA8D1C5BC1}&lpos=loc:body">Index #2: What's Blocking the Recovery? » </a><br>» <a href="http://www.brookings.edu/research/papers/2010/02/28-recovery-renewal" name="&lid={A8BE4192-D46A-4FE8-8F4C-AAC5D0715DA5}&lpos=loc:body"></a><a href="http://www.brookings.edu/research/papers/2010/02/28-recovery-renewal" name="&lid={A8BE4192-D46A-4FE8-8F4C-AAC5D0715DA5}&lpos=loc:body"></a><a href="http://www.brookings.edu/research/papers/2010/02/28-recovery-renewal" name="&lid={A8BE4192-D46A-4FE8-8F4C-AAC5D0715DA5}&lpos=loc:body">Index #3: How We're Doing in the World »</a><a href="http://www.brookings.edu/research/papers/2010/02/28-recovery-renewal" name="&lid={A8BE4192-D46A-4FE8-8F4C-AAC5D0715DA5}&lpos=loc:body"></a></p><p>&lt;not-mobile message="** To see the full indicator chart, please visit brookings.edu on your desktop **"&gt;<!-- INSERT CHART HTML BELOW THIS LINE   --><!-- =================================== --> 
<div class="interactive_table"><div class="interactive_table"><!-- Table 1 Begins Here--><h2>"General Welfare"</h2><div class="interactive_table">
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="second person" valign="top"><div class="content"><p><b>2009 Q1</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q2</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q3</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q4</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q1</b></p></div></td></tr>
<tr>
<td class="first label"><div class="content">GDP growth, <em>annualized percent change</em></div></td>
<td class="number blue" valign="top"><div class="content">-6.4</div></td>
<td class="number lightblue" valign="top"><div class="content">-0.7</div></td>
<td class="number lightestblue" valign="top"><div class="content">2.2</div></td>
<td class="number white" valign="top"><div class="content">5.6</div></td>
<td class="number lightestblue" valign="top"><div class="content">3.2</div></td></tr>
<tr>
<td class="first label"><div class="content">Unemployment rate</div></td>
<td class="number lightblue" valign="top"><div class="content">8.2</div></td>
<td class="number blue" valign="top"><div class="content">9.3</div></td>
<td class="number blue" valign="top"><div class="content">9.7</div></td>
<td class="number blue" valign="top"><div class="content">10.0</div></td>
<td class="number blue" valign="top"><div class="content">9.7</div></td></tr>
<tr>
<td class="first label"><div class="content">Unemployment rates abroad</div></td>
<td class="number white" colspan="5"> </td></tr>
<tr>
<td class="first label" align="right"><div class="content">Greece</div></td>
<td class="number blue" valign="top"><div class="content">9.3</div></td>
<td class="number lightblue" valign="top"><div class="content">8.8</div></td>
<td class="number blue" valign="top"><div class="content">9.2</div></td>
<td class="number blue" valign="top"><div class="content">10.2</div></td>
<td class="number blue" valign="top"><div class="content">11.7</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Spain</div></td>
<td class="number blue" valign="top"><div class="content">16.6</div></td>
<td class="number blue" valign="top"><div class="content">17.9</div></td>
<td class="number blue" valign="top"><div class="content">18.7</div></td>
<td class="number blue" valign="top"><div class="content">19.0</div></td>
<td class="number blue" valign="top"><div class="content">19.0</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Portugal</div></td>
<td class="number lightblue" valign="top"><div class="content">8.7</div></td>
<td class="number blue" valign="top"><div class="content">9.5</div></td>
<td class="number blue" valign="top"><div class="content">10.1</div></td>
<td class="number blue" valign="top"><div class="content">10.2</div></td>
<td class="number blue" valign="top"><div class="content">10.4</div></td></tr>
<tr>
<td class="first label"><div class="content">Payroll employment in the D.C. metro area, <em>percent change</em></div></td>
<td class="number lightblue" valign="top"><div class="content">-0.6</div></td>
<td class="number lightblue" valign="top"><div class="content">-0.4</div></td>
<td class="number lightblue" valign="top"><div class="content">-0.7</div></td>
<td class="number lightestblue" valign="top"><div class="content">0.0</div></td>
<td class="number lightestblue" valign="top"><div class="content">0.7</div></td></tr>
<tr>
<td class="first label"><div class="content">Payroll employment in the Las Vegas metro area, <em>percent change</em></div></td>
<td class="number blue" valign="top"><div class="content">-3.4</div></td>
<td class="number blue" valign="top"><div class="content">-2.8</div></td>
<td class="number blue" valign="top"><div class="content">-1.4</div></td>
<td class="number lightblue" valign="top"><div class="content">-0.6</div></td>
<td class="number lightblue" valign="top"><div class="content">-1.1</div></td></tr>
<tr>
<td class="first label"><div class="content">Payroll employment in the Cleveland metro area, <em>percent change</em></div></td>
<td class="number blue" valign="top"><div class="content">-2.0</div></td>
<td class="number blue" valign="top"><div class="content">-1.9</div></td>
<td class="number lightblue" valign="top"><div class="content">-0.8</div></td>
<td class="number lightblue" valign="top"><div class="content">-0.5</div></td>
<td class="number lightblue" valign="top"><div class="content">-0.7</div></td></tr>
<tr>
<td class="first label"><div class="content">Inflation rate</div></td>
<td class="number slashed" valign="top"><div class="content">-2.2</div></td>
<td class="number slashed" valign="top"><div class="content">1.9</div></td>
<td class="number slashed" valign="top"><div class="content">3.7</div></td>
<td class="number slashed" valign="top"><div class="content">2.6</div></td>
<td class="number slashed" valign="top"><div class="content">1.5</div></td></tr>
<tr>
<td class="first label"><div class="content">Consumer spending, <em>annualized percent change</em></div></td>
<td class="number lightblue" valign="top"><div class="content">0.6</div></td>
<td class="number blue" valign="top"><div class="content">-0.9</div></td>
<td class="number white" valign="top"><div class="content">2.8</div></td>
<td class="number lightestblue" valign="top"><div class="content">1.6</div></td>
<td class="number white" valign="top"><div class="content">3.6</div></td></tr>
<tr>
<td class="first label"><div class="content">Interest rate on 30-year fixed mortgage (end of quarter)</div></td>
<td class="number lightestblue" valign="top"><div class="content">5.00</div></td>
<td class="number lightblue" valign="top"><div class="content">5.42</div></td>
<td class="number lightestblue" valign="top"><div class="content">5.06</div></td>
<td class="number white" valign="top"><div class="content">4.93</div></td>
<td class="number white" valign="top"><div class="content">4.97</div></td></tr>
<tr>
<td class="first label"><div class="content">Home prices in 20 large metro areas, <em>annualized percent change</em></div></td>
<td class="number slashed" valign="top"><div class="content">-20.9</div></td>
<td class="number slashed" valign="top"><div class="content">-9.5</div></td>
<td class="number slashed" valign="top"><div class="content">8.8</div></td>
<td class="number slashed" valign="top"><div class="content">3.4</div></td>
<td class="number slashed" valign="top"><div class="content">2.1</div></td></tr>
<tr>
<td class="first label"><div class="content">Dow Jones Industrial Average (end of quarter)</div></td>
<td class="number blue" valign="top"><div class="content">7,609</div></td>
<td class="number lightblue" valign="top"><div class="content">8,447</div></td>
<td class="number lightestblue" valign="top"><div class="content">9,712</div></td>
<td class="number white" valign="top"><div class="content">10,428</div></td>
<td class="number white" valign="top"><div class="content">10,857</div></td></tr>
<tr>
<td class="first label"><div class="content">Yield on investment grade bonds (end of quarter)</div></td>
<td class="number blue" valign="top"><div class="content">8.42</div></td>
<td class="number lightblue" valign="top"><div class="content">7.50</div></td>
<td class="number lightestblue" valign="top"><div class="content">6.31</div></td>
<td class="number lightestblue" valign="top"><div class="content">6.37</div></td>
<td class="number lightestblue" valign="top"><div class="content">6.27</div></td></tr>
<tr>
<td class="first label"><div class="content">Interest rate on 10-year U.S. Treasuries (end of quarter)</div></td>
<td class="number lightestblue" valign="top"><div class="content">2.82</div></td>
<td class="number blue" valign="top"><div class="content">3.72</div></td>
<td class="number lightblue" valign="top"><div class="content">3.40</div></td>
<td class="number lightblue" valign="top"><div class="content">3.59</div></td>
<td class="number blue" valign="top"><div class="content">3.73</div></td></tr>
<tr>
<td class="first label"><div class="content">10-year government bond rates abroad (end of quarter)</div></td>
<td class="number white" colspan="5"> </td></tr>
<tr>
<td class="first label" align="right"><div class="content">Greece</div></td>
<td class="number blue" valign="top"><div class="content">5.87</div></td>
<td class="number blue" valign="top"><div class="content">5.33</div></td>
<td class="number lightblue" valign="top"><div class="content">4.56</div></td>
<td class="number blue" valign="top"><div class="content">5.49</div></td>
<td class="number blue" valign="top"><div class="content">6.24</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Spain</div></td>
<td class="number lightblue" valign="top"><div class="content">4.06</div></td>
<td class="number lightblue" valign="top"><div class="content">4.25</div></td>
<td class="number lightestblue" valign="top"><div class="content">3.81</div></td>
<td class="number lightestblue" valign="top"><div class="content">3.81</div></td>
<td class="number lightestblue" valign="top"><div class="content">3.83</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Portugal</div></td>
<td class="number lightblue" valign="top"><div class="content">4.68</div></td>
<td class="number lightblue" valign="top"><div class="content">4.50</div></td>
<td class="number lightestblue" valign="top"><div class="content">3.94</div></td>
<td class="number lightestblue" valign="top"><div class="content">3.91</div></td>
<td class="number lightblue" valign="top"><div class="content">4.31</div></td></tr>
<tr>
<td class="first label"><div class="content">FDIC bank failures</div></td>
<td class="number white" valign="top"><div class="content">21</div></td>
<td class="number white" valign="top"><div class="content">24</div></td>
<td class="number blue" valign="top"><div class="content">50</div></td>
<td class="number lightestblue" valign="top"><div class="content">45</div></td>
<td class="number lightestblue" valign="top"><div class="content">41</div></td></tr>
<tr>
<td class="first label"><div class="content">Banks tightening standards for commercial and industrial loans to small firms, <em>net percent</em> (end of quarter)</div></td>
<td class="number slashed" valign="top"><div class="content">42.3</div></td>
<td class="number slashed" valign="top"><div class="content">34.0</div></td>
<td class="number slashed" valign="top"><div class="content">16.1</div></td>
<td class="number slashed" valign="top"><div class="content">3.7</div></td>
<td class="number slashed" valign="top"><div class="content">0.0</div></td></tr>
<tr>
<td class="first label"><div class="content">Outstanding consumer credit, <em>annualized percent change</em></div></td>
<td class="number lightblue" valign="top"><div class="content">-3.9</div></td>
<td class="number blue" valign="top"><div class="content">-4.8</div></td>
<td class="number lightblue" valign="top"><div class="content">-3.1</div></td>
<td class="number blue" valign="top"><div class="content">-6.1</div></td>
<td class="number lightestblue" valign="top"><div class="content">-0.4</div></td></tr></tbody></table><!-- Table 2 Begins Here --><h2>"Common Defense"</h2>
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="second person" valign="top"><div class="content"><p><b>2009 Q1</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q2</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q3</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q4</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q1</b></p></div></td></tr>
<tr>
<td class="first label"><div class="content">U.S. combat fatalities in Iraq and Afghanistan</div></td>
<td class="number lightblue" valign="top"><div class="content">83</div></td>
<td class="number lightblue" valign="top"><div class="content">101</div></td>
<td class="number blue" valign="top"><div class="content">158</div></td>
<td class="number lightestblue" valign="top"><div class="content">76</div></td>
<td class="number lightestblue" valign="top"><div class="content">79</div></td></tr>
<tr>
<td class="first label"><div class="content">Percentage of Americans who believe the war in Afghanistan has been worth fighting (Washington Post-ABC News polling)</div></td>
<td class="number slashed" valign="top"><div class="content">56</div></td>
<td class="number slashed" valign="top"><div class="content">51</div></td>
<td class="number slashed" valign="top"><div class="content">47</div></td>
<td class="number slashed" valign="top"><div class="content">48</div></td>
<td class="number slashed" valign="top"><div class="content">45</div></td></tr></tbody></table><!-- Table 3 Begins Here --><h2>"Blessings of Liberty"</h2>
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="second person" valign="top"><div class="content"><p><b>2009 Q1</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q2</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q3</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q4</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q1</b></p></div></td></tr>
<tr>
<td class="first label"><div class="content">Approval rating of the presidency, <em>percent</em></div></td>
<td class="number white" valign="top"><div class="content">63</div></td>
<td class="number white" valign="top"><div class="content">63</div></td>
<td class="number lightestblue" valign="top"><div class="content">54</div></td>
<td class="number lightblue" valign="top"><div class="content">51</div></td>
<td class="number blue" valign="top"><div class="content">49</div></td></tr>
<tr>
<td class="first label"><div class="content">Approval rating of the Congress, <em>percent</em></div></td>
<td class="number lightestblue" valign="top"><div class="content">30</div></td>
<td class="number white" valign="top"><div class="content">35</div></td>
<td class="number lightestblue" valign="top"><div class="content">31</div></td>
<td class="number lightblue" valign="top"><div class="content">24</div></td>
<td class="number blue" valign="top"><div class="content">19</div></td></tr>
<tr>
<td class="first label"><div class="content">Difference between Republican and Democratic approval ratings for the presidency, <em>percent</em></div></td>
<td class="number white" valign="top"><div class="content">60</div></td>
<td class="number white" valign="top"><div class="content">63</div></td>
<td class="number lightblue" valign="top"><div class="content">69</div></td>
<td class="number lightblue" valign="top"><div class="content">67</div></td>
<td class="number lightblue" valign="top"><div class="content">68</div></td></tr></tbody></table></div>
<p><img alt="" src="/i/interactivetable/key.gif"> </p> 
<!-- =================================== --><!-- INSERT CHART HTML ABOVETHIS LINE    --><!-- =================================== ============================== --><!-- ============================== -->
<!-- NARRATIVE CONTENT RESUMES HERE --><!-- ============================== --><!-- ============================== --><!-- ============================== --><a href="#sources">See data sources »</a> <br>&lt;/not-mobile&gt;<br><br>The availability of credit to American households and businesses is uneven, mirroring broad economic conditions. Many sound large firms can find funding cheaply through the corporate bond market. Likewise, families that meet certain standards can obtain low-rate mortgages. But many high-risk homebuyers can no longer find inexpensive mortgage financing, and small businesses are still struggling to obtain credit. <br><br>The policy response to the Great Recession — while reducing some risks to credit markets — has created new problems. The loss of household wealth, income and credit was partially replaced with a substantial increase in government borrowing to mitigate the drop in demand for goods and services. The U.S. debt held by the public has risen to 53 percent of gross domestic product and is projected to reach 67 percent by 2020. Further, the increase in the Federal Reserve’s balance sheet from $0.9 trillion at the end of 2007 to $2.4 trillion has led some analysts to worry about inflationary pressures. <br><br>Emerging concerns about sovereign debt default present a barrier to global economic growth. Greece’s near-default has sharply raised the cost of its government debt and triggered fear that the contagion will spread to other eurozone countries such as Portugal and, to a lesser extent, Spain. <br><br>The good news is that Greece’s fiscal situation differs importantly from that of the United States. Greece has higher debt and a larger deficit relative to its GDP and a lack of competitiveness stemming in part from high labor costs. Greece cannot compensate for its competitiveness problem by adjusting its exchange rate because it uses the euro. Its government has embarked on a difficult fiscal austerity program, but results — aided by foreign support on realistic terms and, ideally, a stronger world economy — will take a while. <br><br>In contrast, U.S. competitiveness remains relatively high. Although the U.S. debt-to-GDP ratio is increasing, it remains well below that of Greece (86 percent as of last year). The U.S. dollar is in high demand, and if anything, concerns about sovereign debt elsewhere have increased demand for U.S. Treasury securities, thereby holding our borrowing costs down. <br><br>Even if the massive policy response to Greece succeeds in stabilizing world financial markets, there are longer-term implications of rising U.S. public indebtedness. The textbook concern is that it eventually leads to higher interest rates, which will lower capital formation and productivity, ultimately reducing economic wealth. But the financial crisis of the past two years provides further lessons. First, the government must be prepared to step in when private demand for goods and services deteriorates, but significant long-term debt will constrain the U.S. government’s ability to respond to an economic crisis if required. Second, in the highly interconnected global economy, markets can respond suddenly and punitively to highly leveraged institutions. Financial markets in 2008 witnessed an abrupt loss in investor confidence, triggering runs on such financial institutions (remember Lehman Brothers?). <br><br>The U.S. government provided — and should continue to provide — critical short-term support for the still-recovering domestic economy. But to reduce the chances of future economic crises, we urgently need to show a convincing commitment to longer-term fiscal strength.<br><br><br><strong>See also:</strong> <br>» <a href="/metro/stateofmetroamerica.aspx">State of Metropolitan America</a>—portraying the demographic and social trends that shape our nation's metropolitan areas <br>» <a href="/governance/govwatch.aspx">GovWatch</a>—tracking the progress and performance of our institutions in economic recovery <br>» <a href="/metro/MetroMonitor.aspx">MetroMonitor</a>—a barometer of the health of America’s 100 largest metropolitan economies<br><br></div><p><a name="sources"></a></p><h2>Sources:</h2><p><em>GDP growth:</em> <br>U.S. Bureau of Economic Analysis, NIPA Table 1.1.1. May 2010. <br><a href="http://www.bea.gov/national/nipaweb/SelectTable.asp">http://www.bea.gov/national/nipaweb/SelectTable.asp</a> <br><br><em>Unemployment rate:</em> <br>U.S. Bureau of Labor Statistics, Current Population Survey Unemployment Data. <br><a href="http://www.bls.gov/cps/">http://www.bls.gov/cps/</a> <br><br><em>Greek unemployment rate:</em> <br>Hellenic Statistical Authority, Monthly Labour Force Statistics. <br><a href="http://www.statistics.gr/portal/page/portal/ESYE/PAGE-themes?p_param=A0101&amp;r_param=SJO02&amp;y_param=TS&amp;mytabs=0">http://www.statistics.gr/portal/page/portal/ESYE/PAGE-themes?p_param=A0101&amp;r_param=SJO02&amp;y_param=TS&amp;mytabs=0</a> <br><br><em>Spanish and Portuguese unemployment rate:</em> <br>Eurostat, Labour Force Survey. <br><a href="http://epp.eurostat.ec.europa.eu/portal/page/portal/employment_unemployment_lfs/data/database">http://epp.eurostat.ec.europa.eu/portal/page/portal/employment_unemployment_lfs/data/database</a> <br><br><em>Payroll employment in the D.C. and Las Vegas metro areas:</em> <br>U.S. Bureau of Labor Statistics, State and Metro Area Employment Statistics. <br><a href="http://www.bls.gov/sae/#data">http://www.bls.gov/sae/#data</a> <br><br><em>Inflation rate:</em> <br>Bureau of Labor Statistics, Consumer Price Index, All Urban Consumers, Seasonally Adjusted. <br>a<a href="http://www.bls.gov/CPI">http://www.bls.gov/CPI</a> <br><br><em>Consumer spending:</em> <br>U.S. Bureau of Economic Analysis, NIPA Table 2.3.1. <br><a href="http://www.bea.gov/National/nipaweb/index.asp">http://www.bea.gov/National/nipaweb/index.asp</a> <br><br><em>Interest rate on 30-year fixed rate mortgage:</em> <br>Freddie Mac, Primary Mortgage Market Survey, "Monthly Average Commitment Rate and Points on 30-year Fixed Rate Mortgages since 1971." <br><a href="http://www.freddiemac.com/pmms/pmms30.htm">http://www.freddiemac.com/pmms/pmms30.htm</a> <br><br><em>Dow Jones Industrial Average:</em> <br>Yahoo Finance. DJIA Historical Prices. April, 2010. <br><a href="http://finance.yahoo.com/q/hp?s=%5EDJI">http://finance.yahoo.com/q/hp?s=%5EDJI</a> <br><br><em>Yield on investment grade bonds:</em> <br>Federal Reserve Statistical Release H.15. Selected Interest Rates. <br><a href="http://www.federalreserve.gov/releases/h15/data.htm">http://www.federalreserve.gov/releases/h15/data.htm</a> <br><br><em>Interest rate on 10-year Treasuries:</em> <br>Federal Reserve Statistical Release H.15. Selected Interest Rates. <br><a href="http://www.federalreserve.gov/releases/h15/data.htm">http://www.federalreserve.gov/releases/h15/data.htm</a> <br><br><em>Interest rate on 10-year government bonds in Greece, Spain, and Portugal:</em> <br>European Central Bank Statistical data warehouse. Long-term interest rate statistics for EU member states. <br><a href="http://www.ecb.int/stats/money/long/html/index.en.html">http://www.ecb.int/stats/money/long/html/index.en.html</a> <br><br><em>FDIC Bank Failures:</em> <br>Federal Deposit Insurance Corporation. Failed Bank List. <br><a href="http://www.fdic.gov/bank/individual/failed/banklist.html">http://www.fdic.gov/bank/individual/failed/banklist.html</a> <br><br><em>Banks tightening standards for commercial and industrial loans to small firms:</em> <br>Federal Reserve Senior Loan Officer Opinion Survey on Bank Lending Practices. <br><a href="http://www.federalreserve.gov/boarddocs/SnLoanSurvey/201005/chartdata.htm">http://www.federalreserve.gov/boarddocs/SnLoanSurvey/201005/chartdata.htm</a> <br><br><em>Outstanding consumer credit:</em> <br>Federal Reserve Statistical Release G.19. Consumer Credit. <br><a href="http://www.federalreserve.gov/releases/g19/Current/">http://www.federalreserve.gov/releases/g19/Current/</a> <br><br><em>U.S. War Fatalities:</em> <br>Department of Defense. <br><a href="http://siadapp.dmdc.osd.mil/personnel/CASUALTY/castop.htm">http://siadapp.dmdc.osd.mil/personnel/CASUALTY/castop.htm</a> <br><br><em>Percentage of Americans who believe the war in Afghanistan has been worth fighting:</em> <br>Washington Post-ABC News Poll: May 2010. <br><a>http://voices.washingtonpost.com/behind-the-numbers/2010/05/on_afghanistan_a_negative_shif.html</a> <br><br><em>Approval rating of the presidency (and difference between Democrats and Republicans):</em> <br>The Gallup Organization. "Presidential Approval Ratings - Barack Obama." Retrieved 1 May 2010 from The Gallup Poll website. <br><a href="http://www.gallup.com/poll/116479/Barack-Obama-Presidential-Job-Approval.aspx">http://www.gallup.com/poll/116479/Barack-Obama-Presidential-Job-Approval.aspx</a>. <br><br><em>Approval rating of Congress:</em> <br>The Gallup Organization. "Congress and the Public." Retrieved 1 May 2010, from The Gallup Poll. <br><a href="http://www.gallup.com/poll/1600/Congress-Public.aspx">http://www.gallup.com/poll/1600/Congress-Public.aspx</a> </p></div></p><h4>
		Downloads
	</h4><ul>
		<li><a href="http://www.brookings.edu/~/media/research/files/papers/2010/5/23-recovery-renewal/0228_how_were_doing_index.pdf">Download analysis and chart</a></li>
	</ul><div>
		<h4>
			Authors
		</h4><ul>
			<li><a href="http://www.brookings.edu/experts/dynank?view=bio">Karen Dynan</a></li><li><a href="http://www.brookings.edu/experts/gayert?view=bio">Ted Gayer</a></li>
		</ul>
	</div><div>
		Publication: The Brookings Institution and The Washington Post
	</div><div>
		Image Source: © Lucas Jackson / Reuters
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</description><pubDate>Sun, 23 May 2010 17:22:00 -0400</pubDate><dc:creator>Karen Dynan and Ted Gayer</dc:creator><content:encoded><![CDATA[<div>
	<img src="http://www.brookings.edu/~/media/research/images/w/wa%20we/wall_street005_16x9.jpg?w=120" alt="" border="0" />
<br><p><strong>Index #4: Last Five Quarters</strong> 
<br>
<br>With the worst of the credit crunch of 2008-09 behind us, U.S. economic activity has been improving since last summer. Greece’s recent fiscal problems, however, have sparked serious concerns about global credit markets. A central lesson of the financial crisis is that disruptions in credit markets can damage the broader economy. In the fourth “How We’re Doing” Index, a team of scholars at the Brookings Institution has looked at the past five quarters to determine where U.S. credit markets stand and what strains may arise from long-term fiscal imbalances.&lt;not-mobile message=""&gt;  <a href="#story">Continue reading below chart »</a> &lt;/not-mobile&gt;
<br>
<br><b>Related Materials:</b> 
<br>» <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/papers/2009/0726_recovery_renewal.aspx">Index #1: A Composite Index of Global and National Trends »</a> 
<br>» <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/research/papers/2009/11/15-recovery-renewal" name="&lid={395C4891-CA30-4C5B-9A7A-36BA8D1C5BC1}&lpos=loc:body">Index #2: What's Blocking the Recovery? » </a>
<br>» <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/research/papers/2010/02/28-recovery-renewal" name="&lid={A8BE4192-D46A-4FE8-8F4C-AAC5D0715DA5}&lpos=loc:body"></a><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/research/papers/2010/02/28-recovery-renewal" name="&lid={A8BE4192-D46A-4FE8-8F4C-AAC5D0715DA5}&lpos=loc:body"></a><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/research/papers/2010/02/28-recovery-renewal" name="&lid={A8BE4192-D46A-4FE8-8F4C-AAC5D0715DA5}&lpos=loc:body">Index #3: How We're Doing in the World »</a><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/research/papers/2010/02/28-recovery-renewal" name="&lid={A8BE4192-D46A-4FE8-8F4C-AAC5D0715DA5}&lpos=loc:body"></a></p><p>&lt;not-mobile message="** To see the full indicator chart, please visit brookings.edu on your desktop **"&gt;<!-- INSERT CHART HTML BELOW THIS LINE   --><!-- =================================== --> 
<div class="interactive_table"><div class="interactive_table"><!-- Table 1 Begins Here--><h2>"General Welfare"</h2><div class="interactive_table">
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="second person" valign="top"><div class="content"><p><b>2009 Q1</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q2</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q3</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q4</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q1</b></p></div></td></tr>
<tr>
<td class="first label"><div class="content">GDP growth, <em>annualized percent change</em></div></td>
<td class="number blue" valign="top"><div class="content">-6.4</div></td>
<td class="number lightblue" valign="top"><div class="content">-0.7</div></td>
<td class="number lightestblue" valign="top"><div class="content">2.2</div></td>
<td class="number white" valign="top"><div class="content">5.6</div></td>
<td class="number lightestblue" valign="top"><div class="content">3.2</div></td></tr>
<tr>
<td class="first label"><div class="content">Unemployment rate</div></td>
<td class="number lightblue" valign="top"><div class="content">8.2</div></td>
<td class="number blue" valign="top"><div class="content">9.3</div></td>
<td class="number blue" valign="top"><div class="content">9.7</div></td>
<td class="number blue" valign="top"><div class="content">10.0</div></td>
<td class="number blue" valign="top"><div class="content">9.7</div></td></tr>
<tr>
<td class="first label"><div class="content">Unemployment rates abroad</div></td>
<td class="number white" colspan="5"> </td></tr>
<tr>
<td class="first label" align="right"><div class="content">Greece</div></td>
<td class="number blue" valign="top"><div class="content">9.3</div></td>
<td class="number lightblue" valign="top"><div class="content">8.8</div></td>
<td class="number blue" valign="top"><div class="content">9.2</div></td>
<td class="number blue" valign="top"><div class="content">10.2</div></td>
<td class="number blue" valign="top"><div class="content">11.7</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Spain</div></td>
<td class="number blue" valign="top"><div class="content">16.6</div></td>
<td class="number blue" valign="top"><div class="content">17.9</div></td>
<td class="number blue" valign="top"><div class="content">18.7</div></td>
<td class="number blue" valign="top"><div class="content">19.0</div></td>
<td class="number blue" valign="top"><div class="content">19.0</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Portugal</div></td>
<td class="number lightblue" valign="top"><div class="content">8.7</div></td>
<td class="number blue" valign="top"><div class="content">9.5</div></td>
<td class="number blue" valign="top"><div class="content">10.1</div></td>
<td class="number blue" valign="top"><div class="content">10.2</div></td>
<td class="number blue" valign="top"><div class="content">10.4</div></td></tr>
<tr>
<td class="first label"><div class="content">Payroll employment in the D.C. metro area, <em>percent change</em></div></td>
<td class="number lightblue" valign="top"><div class="content">-0.6</div></td>
<td class="number lightblue" valign="top"><div class="content">-0.4</div></td>
<td class="number lightblue" valign="top"><div class="content">-0.7</div></td>
<td class="number lightestblue" valign="top"><div class="content">0.0</div></td>
<td class="number lightestblue" valign="top"><div class="content">0.7</div></td></tr>
<tr>
<td class="first label"><div class="content">Payroll employment in the Las Vegas metro area, <em>percent change</em></div></td>
<td class="number blue" valign="top"><div class="content">-3.4</div></td>
<td class="number blue" valign="top"><div class="content">-2.8</div></td>
<td class="number blue" valign="top"><div class="content">-1.4</div></td>
<td class="number lightblue" valign="top"><div class="content">-0.6</div></td>
<td class="number lightblue" valign="top"><div class="content">-1.1</div></td></tr>
<tr>
<td class="first label"><div class="content">Payroll employment in the Cleveland metro area, <em>percent change</em></div></td>
<td class="number blue" valign="top"><div class="content">-2.0</div></td>
<td class="number blue" valign="top"><div class="content">-1.9</div></td>
<td class="number lightblue" valign="top"><div class="content">-0.8</div></td>
<td class="number lightblue" valign="top"><div class="content">-0.5</div></td>
<td class="number lightblue" valign="top"><div class="content">-0.7</div></td></tr>
<tr>
<td class="first label"><div class="content">Inflation rate</div></td>
<td class="number slashed" valign="top"><div class="content">-2.2</div></td>
<td class="number slashed" valign="top"><div class="content">1.9</div></td>
<td class="number slashed" valign="top"><div class="content">3.7</div></td>
<td class="number slashed" valign="top"><div class="content">2.6</div></td>
<td class="number slashed" valign="top"><div class="content">1.5</div></td></tr>
<tr>
<td class="first label"><div class="content">Consumer spending, <em>annualized percent change</em></div></td>
<td class="number lightblue" valign="top"><div class="content">0.6</div></td>
<td class="number blue" valign="top"><div class="content">-0.9</div></td>
<td class="number white" valign="top"><div class="content">2.8</div></td>
<td class="number lightestblue" valign="top"><div class="content">1.6</div></td>
<td class="number white" valign="top"><div class="content">3.6</div></td></tr>
<tr>
<td class="first label"><div class="content">Interest rate on 30-year fixed mortgage (end of quarter)</div></td>
<td class="number lightestblue" valign="top"><div class="content">5.00</div></td>
<td class="number lightblue" valign="top"><div class="content">5.42</div></td>
<td class="number lightestblue" valign="top"><div class="content">5.06</div></td>
<td class="number white" valign="top"><div class="content">4.93</div></td>
<td class="number white" valign="top"><div class="content">4.97</div></td></tr>
<tr>
<td class="first label"><div class="content">Home prices in 20 large metro areas, <em>annualized percent change</em></div></td>
<td class="number slashed" valign="top"><div class="content">-20.9</div></td>
<td class="number slashed" valign="top"><div class="content">-9.5</div></td>
<td class="number slashed" valign="top"><div class="content">8.8</div></td>
<td class="number slashed" valign="top"><div class="content">3.4</div></td>
<td class="number slashed" valign="top"><div class="content">2.1</div></td></tr>
<tr>
<td class="first label"><div class="content">Dow Jones Industrial Average (end of quarter)</div></td>
<td class="number blue" valign="top"><div class="content">7,609</div></td>
<td class="number lightblue" valign="top"><div class="content">8,447</div></td>
<td class="number lightestblue" valign="top"><div class="content">9,712</div></td>
<td class="number white" valign="top"><div class="content">10,428</div></td>
<td class="number white" valign="top"><div class="content">10,857</div></td></tr>
<tr>
<td class="first label"><div class="content">Yield on investment grade bonds (end of quarter)</div></td>
<td class="number blue" valign="top"><div class="content">8.42</div></td>
<td class="number lightblue" valign="top"><div class="content">7.50</div></td>
<td class="number lightestblue" valign="top"><div class="content">6.31</div></td>
<td class="number lightestblue" valign="top"><div class="content">6.37</div></td>
<td class="number lightestblue" valign="top"><div class="content">6.27</div></td></tr>
<tr>
<td class="first label"><div class="content">Interest rate on 10-year U.S. Treasuries (end of quarter)</div></td>
<td class="number lightestblue" valign="top"><div class="content">2.82</div></td>
<td class="number blue" valign="top"><div class="content">3.72</div></td>
<td class="number lightblue" valign="top"><div class="content">3.40</div></td>
<td class="number lightblue" valign="top"><div class="content">3.59</div></td>
<td class="number blue" valign="top"><div class="content">3.73</div></td></tr>
<tr>
<td class="first label"><div class="content">10-year government bond rates abroad (end of quarter)</div></td>
<td class="number white" colspan="5"> </td></tr>
<tr>
<td class="first label" align="right"><div class="content">Greece</div></td>
<td class="number blue" valign="top"><div class="content">5.87</div></td>
<td class="number blue" valign="top"><div class="content">5.33</div></td>
<td class="number lightblue" valign="top"><div class="content">4.56</div></td>
<td class="number blue" valign="top"><div class="content">5.49</div></td>
<td class="number blue" valign="top"><div class="content">6.24</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Spain</div></td>
<td class="number lightblue" valign="top"><div class="content">4.06</div></td>
<td class="number lightblue" valign="top"><div class="content">4.25</div></td>
<td class="number lightestblue" valign="top"><div class="content">3.81</div></td>
<td class="number lightestblue" valign="top"><div class="content">3.81</div></td>
<td class="number lightestblue" valign="top"><div class="content">3.83</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">Portugal</div></td>
<td class="number lightblue" valign="top"><div class="content">4.68</div></td>
<td class="number lightblue" valign="top"><div class="content">4.50</div></td>
<td class="number lightestblue" valign="top"><div class="content">3.94</div></td>
<td class="number lightestblue" valign="top"><div class="content">3.91</div></td>
<td class="number lightblue" valign="top"><div class="content">4.31</div></td></tr>
<tr>
<td class="first label"><div class="content">FDIC bank failures</div></td>
<td class="number white" valign="top"><div class="content">21</div></td>
<td class="number white" valign="top"><div class="content">24</div></td>
<td class="number blue" valign="top"><div class="content">50</div></td>
<td class="number lightestblue" valign="top"><div class="content">45</div></td>
<td class="number lightestblue" valign="top"><div class="content">41</div></td></tr>
<tr>
<td class="first label"><div class="content">Banks tightening standards for commercial and industrial loans to small firms, <em>net percent</em> (end of quarter)</div></td>
<td class="number slashed" valign="top"><div class="content">42.3</div></td>
<td class="number slashed" valign="top"><div class="content">34.0</div></td>
<td class="number slashed" valign="top"><div class="content">16.1</div></td>
<td class="number slashed" valign="top"><div class="content">3.7</div></td>
<td class="number slashed" valign="top"><div class="content">0.0</div></td></tr>
<tr>
<td class="first label"><div class="content">Outstanding consumer credit, <em>annualized percent change</em></div></td>
<td class="number lightblue" valign="top"><div class="content">-3.9</div></td>
<td class="number blue" valign="top"><div class="content">-4.8</div></td>
<td class="number lightblue" valign="top"><div class="content">-3.1</div></td>
<td class="number blue" valign="top"><div class="content">-6.1</div></td>
<td class="number lightestblue" valign="top"><div class="content">-0.4</div></td></tr></tbody></table><!-- Table 2 Begins Here --><h2>"Common Defense"</h2>
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="second person" valign="top"><div class="content"><p><b>2009 Q1</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q2</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q3</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q4</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q1</b></p></div></td></tr>
<tr>
<td class="first label"><div class="content">U.S. combat fatalities in Iraq and Afghanistan</div></td>
<td class="number lightblue" valign="top"><div class="content">83</div></td>
<td class="number lightblue" valign="top"><div class="content">101</div></td>
<td class="number blue" valign="top"><div class="content">158</div></td>
<td class="number lightestblue" valign="top"><div class="content">76</div></td>
<td class="number lightestblue" valign="top"><div class="content">79</div></td></tr>
<tr>
<td class="first label"><div class="content">Percentage of Americans who believe the war in Afghanistan has been worth fighting (Washington Post-ABC News polling)</div></td>
<td class="number slashed" valign="top"><div class="content">56</div></td>
<td class="number slashed" valign="top"><div class="content">51</div></td>
<td class="number slashed" valign="top"><div class="content">47</div></td>
<td class="number slashed" valign="top"><div class="content">48</div></td>
<td class="number slashed" valign="top"><div class="content">45</div></td></tr></tbody></table><!-- Table 3 Begins Here --><h2>"Blessings of Liberty"</h2>
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="second person" valign="top"><div class="content"><p><b>2009 Q1</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q2</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q3</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q4</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2010 Q1</b></p></div></td></tr>
<tr>
<td class="first label"><div class="content">Approval rating of the presidency, <em>percent</em></div></td>
<td class="number white" valign="top"><div class="content">63</div></td>
<td class="number white" valign="top"><div class="content">63</div></td>
<td class="number lightestblue" valign="top"><div class="content">54</div></td>
<td class="number lightblue" valign="top"><div class="content">51</div></td>
<td class="number blue" valign="top"><div class="content">49</div></td></tr>
<tr>
<td class="first label"><div class="content">Approval rating of the Congress, <em>percent</em></div></td>
<td class="number lightestblue" valign="top"><div class="content">30</div></td>
<td class="number white" valign="top"><div class="content">35</div></td>
<td class="number lightestblue" valign="top"><div class="content">31</div></td>
<td class="number lightblue" valign="top"><div class="content">24</div></td>
<td class="number blue" valign="top"><div class="content">19</div></td></tr>
<tr>
<td class="first label"><div class="content">Difference between Republican and Democratic approval ratings for the presidency, <em>percent</em></div></td>
<td class="number white" valign="top"><div class="content">60</div></td>
<td class="number white" valign="top"><div class="content">63</div></td>
<td class="number lightblue" valign="top"><div class="content">69</div></td>
<td class="number lightblue" valign="top"><div class="content">67</div></td>
<td class="number lightblue" valign="top"><div class="content">68</div></td></tr></tbody></table></div>
<p><img alt="" src="http://www.brookings.edu/i/interactivetable/key.gif"> </p> 
<!-- =================================== --><!-- INSERT CHART HTML ABOVETHIS LINE    --><!-- =================================== ============================== --><!-- ============================== -->
<!-- NARRATIVE CONTENT RESUMES HERE --><!-- ============================== --><!-- ============================== --><!-- ============================== --><a href="#sources">See data sources »</a> 
<br>&lt;/not-mobile&gt;
<br>
<br>The availability of credit to American households and businesses is uneven, mirroring broad economic conditions. Many sound large firms can find funding cheaply through the corporate bond market. Likewise, families that meet certain standards can obtain low-rate mortgages. But many high-risk homebuyers can no longer find inexpensive mortgage financing, and small businesses are still struggling to obtain credit. 
<br>
<br>The policy response to the Great Recession — while reducing some risks to credit markets — has created new problems. The loss of household wealth, income and credit was partially replaced with a substantial increase in government borrowing to mitigate the drop in demand for goods and services. The U.S. debt held by the public has risen to 53 percent of gross domestic product and is projected to reach 67 percent by 2020. Further, the increase in the Federal Reserve’s balance sheet from $0.9 trillion at the end of 2007 to $2.4 trillion has led some analysts to worry about inflationary pressures. 
<br>
<br>Emerging concerns about sovereign debt default present a barrier to global economic growth. Greece’s near-default has sharply raised the cost of its government debt and triggered fear that the contagion will spread to other eurozone countries such as Portugal and, to a lesser extent, Spain. 
<br>
<br>The good news is that Greece’s fiscal situation differs importantly from that of the United States. Greece has higher debt and a larger deficit relative to its GDP and a lack of competitiveness stemming in part from high labor costs. Greece cannot compensate for its competitiveness problem by adjusting its exchange rate because it uses the euro. Its government has embarked on a difficult fiscal austerity program, but results — aided by foreign support on realistic terms and, ideally, a stronger world economy — will take a while. 
<br>
<br>In contrast, U.S. competitiveness remains relatively high. Although the U.S. debt-to-GDP ratio is increasing, it remains well below that of Greece (86 percent as of last year). The U.S. dollar is in high demand, and if anything, concerns about sovereign debt elsewhere have increased demand for U.S. Treasury securities, thereby holding our borrowing costs down. 
<br>
<br>Even if the massive policy response to Greece succeeds in stabilizing world financial markets, there are longer-term implications of rising U.S. public indebtedness. The textbook concern is that it eventually leads to higher interest rates, which will lower capital formation and productivity, ultimately reducing economic wealth. But the financial crisis of the past two years provides further lessons. First, the government must be prepared to step in when private demand for goods and services deteriorates, but significant long-term debt will constrain the U.S. government’s ability to respond to an economic crisis if required. Second, in the highly interconnected global economy, markets can respond suddenly and punitively to highly leveraged institutions. Financial markets in 2008 witnessed an abrupt loss in investor confidence, triggering runs on such financial institutions (remember Lehman Brothers?). 
<br>
<br>The U.S. government provided — and should continue to provide — critical short-term support for the still-recovering domestic economy. But to reduce the chances of future economic crises, we urgently need to show a convincing commitment to longer-term fiscal strength.
<br>
<br>
<br><strong>See also:</strong> 
<br>» <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/metro/stateofmetroamerica.aspx">State of Metropolitan America</a>—portraying the demographic and social trends that shape our nation's metropolitan areas 
<br>» <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/governance/govwatch.aspx">GovWatch</a>—tracking the progress and performance of our institutions in economic recovery 
<br>» <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/metro/MetroMonitor.aspx">MetroMonitor</a>—a barometer of the health of America’s 100 largest metropolitan economies
<br>
<br></div><p><a name="sources"></a></p><h2>Sources:</h2><p><em>GDP growth:</em> 
<br>U.S. Bureau of Economic Analysis, NIPA Table 1.1.1. May 2010. 
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.bea.gov/national/nipaweb/SelectTable.asp">http://www.bea.gov/national/nipaweb/SelectTable.asp</a> 
<br>
<br><em>Unemployment rate:</em> 
<br>U.S. Bureau of Labor Statistics, Current Population Survey Unemployment Data. 
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.bls.gov/cps/">http://www.bls.gov/cps/</a> 
<br>
<br><em>Greek unemployment rate:</em> 
<br>Hellenic Statistical Authority, Monthly Labour Force Statistics. 
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.statistics.gr/portal/page/portal/ESYE/PAGE-themes?p_param=A0101&amp;r_param=SJO02&amp;y_param=TS&amp;mytabs=0">http://www.statistics.gr/portal/page/portal/ESYE/PAGE-themes?p_param=A0101&amp;r_param=SJO02&amp;y_param=TS&amp;mytabs=0</a> 
<br>
<br><em>Spanish and Portuguese unemployment rate:</em> 
<br>Eurostat, Labour Force Survey. 
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~epp.eurostat.ec.europa.eu/portal/page/portal/employment_unemployment_lfs/data/database">http://epp.eurostat.ec.europa.eu/portal/page/portal/employment_unemployment_lfs/data/database</a> 
<br>
<br><em>Payroll employment in the D.C. and Las Vegas metro areas:</em> 
<br>U.S. Bureau of Labor Statistics, State and Metro Area Employment Statistics. 
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.bls.gov/sae/#data">http://www.bls.gov/sae/#data</a> 
<br>
<br><em>Inflation rate:</em> 
<br>Bureau of Labor Statistics, Consumer Price Index, All Urban Consumers, Seasonally Adjusted. 
<br>a<a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.bls.gov/CPI">http://www.bls.gov/CPI</a> 
<br>
<br><em>Consumer spending:</em> 
<br>U.S. Bureau of Economic Analysis, NIPA Table 2.3.1. 
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.bea.gov/National/nipaweb/index.asp">http://www.bea.gov/National/nipaweb/index.asp</a> 
<br>
<br><em>Interest rate on 30-year fixed rate mortgage:</em> 
<br>Freddie Mac, Primary Mortgage Market Survey, "Monthly Average Commitment Rate and Points on 30-year Fixed Rate Mortgages since 1971." 
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.freddiemac.com/pmms/pmms30.htm">http://www.freddiemac.com/pmms/pmms30.htm</a> 
<br>
<br><em>Dow Jones Industrial Average:</em> 
<br>Yahoo Finance. DJIA Historical Prices. April, 2010. 
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~finance.yahoo.com/q/hp?s=%5EDJI">http://finance.yahoo.com/q/hp?s=%5EDJI</a> 
<br>
<br><em>Yield on investment grade bonds:</em> 
<br>Federal Reserve Statistical Release H.15. Selected Interest Rates. 
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.federalreserve.gov/releases/h15/data.htm">http://www.federalreserve.gov/releases/h15/data.htm</a> 
<br>
<br><em>Interest rate on 10-year Treasuries:</em> 
<br>Federal Reserve Statistical Release H.15. Selected Interest Rates. 
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.federalreserve.gov/releases/h15/data.htm">http://www.federalreserve.gov/releases/h15/data.htm</a> 
<br>
<br><em>Interest rate on 10-year government bonds in Greece, Spain, and Portugal:</em> 
<br>European Central Bank Statistical data warehouse. Long-term interest rate statistics for EU member states. 
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.ecb.int/stats/money/long/html/index.en.html">http://www.ecb.int/stats/money/long/html/index.en.html</a> 
<br>
<br><em>FDIC Bank Failures:</em> 
<br>Federal Deposit Insurance Corporation. Failed Bank List. 
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.fdic.gov/bank/individual/failed/banklist.html">http://www.fdic.gov/bank/individual/failed/banklist.html</a> 
<br>
<br><em>Banks tightening standards for commercial and industrial loans to small firms:</em> 
<br>Federal Reserve Senior Loan Officer Opinion Survey on Bank Lending Practices. 
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.federalreserve.gov/boarddocs/SnLoanSurvey/201005/chartdata.htm">http://www.federalreserve.gov/boarddocs/SnLoanSurvey/201005/chartdata.htm</a> 
<br>
<br><em>Outstanding consumer credit:</em> 
<br>Federal Reserve Statistical Release G.19. Consumer Credit. 
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.federalreserve.gov/releases/g19/Current/">http://www.federalreserve.gov/releases/g19/Current/</a> 
<br>
<br><em>U.S. War Fatalities:</em> 
<br>Department of Defense. 
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~siadapp.dmdc.osd.mil/personnel/CASUALTY/castop.htm">http://siadapp.dmdc.osd.mil/personnel/CASUALTY/castop.htm</a> 
<br>
<br><em>Percentage of Americans who believe the war in Afghanistan has been worth fighting:</em> 
<br>Washington Post-ABC News Poll: May 2010. 
<br><a>http://voices.washingtonpost.com/behind-the-numbers/2010/05/on_afghanistan_a_negative_shif.html</a> 
<br>
<br><em>Approval rating of the presidency (and difference between Democrats and Republicans):</em> 
<br>The Gallup Organization. "Presidential Approval Ratings - Barack Obama." Retrieved 1 May 2010 from The Gallup Poll website. 
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.gallup.com/poll/116479/Barack-Obama-Presidential-Job-Approval.aspx">http://www.gallup.com/poll/116479/Barack-Obama-Presidential-Job-Approval.aspx</a>. 
<br>
<br><em>Approval rating of Congress:</em> 
<br>The Gallup Organization. "Congress and the Public." Retrieved 1 May 2010, from The Gallup Poll. 
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.gallup.com/poll/1600/Congress-Public.aspx">http://www.gallup.com/poll/1600/Congress-Public.aspx</a> </p></div></p><h4>
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		<li><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/~/media/research/files/papers/2010/5/23-recovery-renewal/0228_how_were_doing_index.pdf">Download analysis and chart</a></li>
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		<h4>
			Authors
		</h4><ul>
			<li><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/experts/dynank?view=bio">Karen Dynan</a></li><li><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/experts/gayert?view=bio">Ted Gayer</a></li>
		</ul>
	</div><div>
		Publication: The Brookings Institution and The Washington Post
	</div><div>
		Image Source: © Lucas Jackson / Reuters
	</div>
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<feedburner:origLink>http://www.brookings.edu/research/papers/2010/02/28-recovery-renewal?rssid=How+Were+Doing</feedburner:origLink><guid isPermaLink="false">{A8BE4192-D46A-4FE8-8F4C-AAC5D0715DA5}</guid><link>http://webfeeds.brookings.edu/~/65487240/0/brookingsrss/series/howweredoing~How-Were-Doing-in-the-World</link><title>How We're Doing in the World</title><description><![CDATA[<div>
	<img src="http://www.brookings.edu/~/media/research/images/o/oa%20oe/obama_g20london001_16x9.jpg?w=120" alt="" border="0" /><br /><p><strong>Index #3:  Previous Four Years</strong> </p><p>Judged by most standards, America and the world are better off today than they were a year ago when President Obama entered office. While few Americans will forget the fear of global economic meltdown that accompanied the 44th president’s inauguration and the drastic stimulus and triage measures that had to be taken to arrest the economic freefall, public optimism, as measured by a variety of opinion poll measures, has recovered. <br><br>But many workers, especially those in the once-thriving Sun Belt, are still suffering severe unemployment. In some ways, we’ve faced a marked decline since 2006, when world GDP growth was at nearly 4 percent and world trade growth was more than 20 percentage points higher than in 2009. In this third “How We’re Doing” Index, a team of Brookings experts takes a four-year look at key local, domestic and global indicators to gauge the shifting position of the United States and the larger international system.</p>
<p><a href="#story">Continue reading below chart »</a> </p>
<div class="interactive_table"><!-- Table 1 Begins Here --><h2>"Common Defense"</h2>
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="second person" valign="top"><div class="content"><p><b>2006</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2007</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2008</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009</b></p></div></td></tr>
<tr>
<td class="first label"><div class="content">Global fatalities from terrorism (monthly average)</div></td>
<td class="number lightblue" valign="top"><div class="content">1700</div></td>
<td class="number blue" valign="top"><div class="content">1900</div></td>
<td class="number white" valign="top"><div class="content">1300</div></td>
<td class="number lightestblue" valign="top"><div class="content">1300 (thru Sept.)</div></td></tr>
<tr>
<td class="first label"><div class="content">Number of U.S. troops in Iraq and Afghanistan at year's end (1,000s)</div></td>
<td class="number white" valign="top"><div class="content">162</div></td>
<td class="number white" valign="top"><div class="content">185</div></td>
<td class="number white" valign="top"><div class="content">177</div></td>
<td class="number white" valign="top"><div class="content">178</div></td></tr>
<tr>
<td class="first label"><div class="content">U.S. military combat fatalities in Iraq and Afghanistan</div></td>
<td class="number lightblue" valign="top"><div class="content">918</div></td>
<td class="number blue" valign="top"><div class="content">990</div></td>
<td class="number white" valign="top"><div class="content">468</div></td>
<td class="number white" valign="top"><div class="content">449</div></td></tr>
<tr>
<td class="first label"><div class="content">U.S. popularity abroad, by region:</div></td>
<td class="number white" valign="top"><div class="content"></div></td>
<td class="number white" valign="top"><div class="content"></div></td>
<td class="number white" valign="top"><div class="content"></div></td>
<td class="number white" valign="top"><div class="content"></div></td></tr>
<tr>
<td class="first label" valign="middle" align="right"><div class="content">Asia</div></td>
<td class="number white" valign="top"><div class="content">52</div></td>
<td class="number white" valign="top"><div class="content">51</div></td>
<td class="number white" valign="top"><div class="content">55</div></td>
<td class="number white" valign="top"><div class="content">61</div></td></tr>
<tr>
<td class="first label" valign="middle" align="right"><div class="content">Europe</div></td>
<td class="number lightblue" valign="top"><div class="content">39</div></td>
<td class="number lightestblue" valign="top"><div class="content">46</div></td>
<td class="number lightestblue" valign="top"><div class="content">45</div></td>
<td class="number white" valign="top"><div class="content">67</div></td></tr>
<tr>
<td class="first label" valign="middle" align="right"><div class="content">Middle East/Islamic World</div></td>
<td class="number blue" valign="top"><div class="content">23</div></td>
<td class="number blue" valign="top"><div class="content">27</div></td>
<td class="number blue" valign="top"><div class="content">27</div></td>
<td class="number lightblue" valign="top"><div class="content">31</div></td></tr></tbody></table><!-- Table 2 Begins Here--><h2>"General Welfare"</h2>
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="second person" valign="top"><div class="content"><p><b>2006</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2007</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2008</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009</b></p></div></td></tr>
<tr>
<td class="first label"><div class="content">U.S. real GDP growth (annual percent change)</div></td>
<td class="number white" valign="top"><div class="content">2.7%</div></td>
<td class="number lighestblue" valign="top"><div class="content">2.1%</div></td>
<td class="number lightblue" valign="top"><div class="content">0.4%</div></td>
<td class="number blue" valign="top"><div class="content">-2.4%</div></td></tr>
<tr>
<td class="first label"><div class="content">World GDP growth (annual percent change)</div></td>
<td class="number white" valign="top"><div class="content">3.9%</div></td>
<td class="number white" valign="top"><div class="content">3.8%</div></td>
<td class="number lightblue" valign="top"><div class="content">1.8%</div></td>
<td class="number blue" valign="top"><div class="content">-2.1%</div></td></tr>
<tr>
<td class="first label" valign="middle" align="right"><div class="content">Brazil GDP growth</div></td>
<td class="number white" valign="top"><div class="content">4.0%</div></td>
<td class="number white" valign="top"><div class="content">5.7%</div></td>
<td class="number white" valign="top"><div class="content">5.1%</div></td>
<td class="number lightestblue" valign="top"><div class="content">-0.7%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">China GDP growth</div></td>
<td class="number white" valign="top"><div class="content">11.6%</div></td>
<td class="number white" valign="top"><div class="content">13.0%</div></td>
<td class="number white" valign="top"><div class="content">9.0%</div></td>
<td class="number white" valign="top"><div class="content">8.5%</div></td></tr>
<tr>
<td class="first label" valign="middle" align="right"><div class="content">India GDP growth</div></td>
<td class="number white" valign="top"><div class="content">9.8%</div></td>
<td class="number white" valign="top"><div class="content">9.4%</div></td>
<td class="number white" valign="top"><div class="content">7.3%</div></td>
<td class="number lightestblue" valign="top"><div class="content">5.4%</div></td></tr>
<tr>
<td class="first label" valign="middle" align="right"><div class="content">South Africa GDP growth</div></td>
<td class="number white" valign="top"><div class="content">5.3%</div></td>
<td class="number white" valign="top"><div class="content">5.1%</div></td>
<td class="number lightblue" valign="top"><div class="content">3.1%</div></td>
<td class="number blue" valign="top"><div class="content">-2.2%</div></td></tr>
<tr>
<td class="first label"><div class="content">World trade growth (annual percent change)</div></td>
<td class="number white" valign="top"><div class="content">9.1</div></td>
<td class="number white" valign="top"><div class="content">7.3</div></td>
<td class="number lightblue" valign="top"><div class="content">2.8</div></td>
<td class="number blue" valign="top"><div class="content">-12.3</div></td></tr>
<tr>
<td class="first label"><div class="content">Workers' remittances (world inflows, annual percent change)</div></td>
<td class="number white" valign="top"><div class="content">15.3%</div></td>
<td class="number white" valign="top"><div class="content">21.3%</div></td>
<td class="number white" valign="top"><div class="content">15.3%</div></td>
<td class="number blue" valign="top"><div class="content">-5.3%</div></td></tr>
<tr>
<td class="first label"><div class="content">U.S. federal debt as percent of GDP</div></td>
<td class="number lightestblue" valign="top"><div class="content">36.5%</div></td>
<td class="number lightestblue" valign="top"><div class="content">36.2%</div></td>
<td class="number lightblue" valign="top"><div class="content">40.2%</div></td>
<td class="number blue" valign="top"><div class="content">53.0%</div></td></tr>
<tr>
<td class="first label"><div class="content">U.S. unemployment rate (avg. among persons 16 years and older)</div></td>
<td class="number lightestblue" valign="top"><div class="content">4.6%</div></td>
<td class="number lightestblue" valign="top"><div class="content">4.6%</div></td>
<td class="number lightblue" valign="top"><div class="content">5.8%</div></td>
<td class="number blue" valign="top"><div class="content">9.3%</div></td></tr>
<tr>
<td class="first label"><div class="content">Inflation rate (CPI-U, all urban consumers)</div></td>
<td class="number lightestblue" valign="top"><div class="content">2.5%</div></td>
<td class="number lightblue" valign="top"><div class="content">4.1%</div></td>
<td class="number white" valign="top"><div class="content">0.1%</div></td>
<td class="number lightestblue" valign="top"><div class="content">2.7%</div></td></tr>
<tr>
<td class="first label"><div class="content">Percent change in U.S. payroll employment (December from one year prior)</div></td>
<td class="number lightestblue" valign="top"><div class="content">1.6%</div></td>
<td class="number lightblue" valign="top"><div class="content">0.8%</div></td>
<td class="number blue" valign="top"><div class="content">-2.6%</div></td>
<td class="number blue" valign="top"><div class="content">-3.6%</div></td></tr>
<tr>
<td class="first label"><div class="content" align="right">Percent change in payroll employment in the Washington, DC metro area (December from one year prior)</div></td>
<td class="number lightestblue" valign="top"><div class="content">1.3%</div></td>
<td class="number lightestblue" valign="top"><div class="content">0.7%</div></td>
<td class="number lightblue" valign="top"><div class="content">-0.5%</div></td>
<td class="number lightblue" valign="top"><div class="content">-0.5%</div></td></tr>
<tr>
<td class="first label"><div class="content" align="right">Percent change in payroll employment in the Las Vegas metro area (December from one year prior)</div></td>
<td class="number white" valign="top"><div class="content">2.7%</div></td>
<td class="number lightestblue" valign="top"><div class="content">0.9%</div></td>
<td class="number lightblue" valign="top"><div class="content">-3.9%</div></td>
<td class="number blue" valign="top"><div class="content">-7.4%</div></td></tr>
<tr>
<td class="first label"><div class="content" align="right">Percent change in payroll employment in the Cleveland metro area (December from one year prior)</div></td>
<td class="number lightblue" valign="top"><div class="content">-0.4%</div></td>
<td class="number lightblue" valign="top"><div class="content">-0.4%</div></td>
<td class="number blue" valign="top"><div class="content">-3.3%</div></td>
<td class="number blue" valign="top"><div class="content">-4.1%</div></td></tr>
<tr>
<td class="first label"><div class="content">Dow Jones Industrial Average at year's end</div></td>
<td class="number white" valign="top"><div class="content">12,463</div></td>
<td class="number white" valign="top"><div class="content">13,265</div></td>
<td class="number blue" valign="top"><div class="content">8,776</div></td>
<td class="number lightestblue" valign="top"><div class="content">10,428</div></td></tr>
<tr>
<td class="first label"><div class="content">30-year conventional mortgage rate at year's end</div></td>
<td class="number lightblue" valign="top"><div class="content">6.14%</div></td>
<td class="number lightblue" valign="top"><div class="content">6.10%</div></td>
<td class="number lightestblue" valign="top"><div class="content">5.29%</div></td>
<td class="number white" valign="top"><div class="content">4.93%</div></td></tr>
<tr>
<td class="first label"><div class="content">Personal saving rate</div></td>
<td class="number lightestblue" valign="top"><div class="content">2.4%</div></td>
<td class="number lightblue" valign="top"><div class="content">1.7%</div></td>
<td class="number lightestblue" valign="top"><div class="content">2.7%</div></td>
<td class="number white" valign="top"><div class="content">4.3%</div></td></tr>
<tr>
<td class="first label"><div class="content">Consumer sentiment index at year's end (1966 = 100)</div></td>
<td class="number white" valign="top"><div class="content">91.7</div></td>
<td class="number lightblue" valign="top"><div class="content">75.5</div></td>
<td class="number blue" valign="top"><div class="content">60.1</div></td>
<td class="number lightblue" valign="top"><div class="content">72.5</div></td></tr></tbody></table><!-- Table 3 Begins Here --><h2>"Blessings of Liberty"</h2>
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="second person" valign="top"><div class="content"><p><b>2006</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2007</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2008</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009</b></p></div></td></tr>
<tr>
<td class="first label"><div class="content">Avg. global happiness (0-10 scale)</div></td>
<td class="number white" valign="top"><div class="content">5.41</div></td>
<td class="number white" valign="top"><div class="content">5.51</div></td>
<td class="number white" valign="top"><div class="content">5.41</div></td>
<td class="number white" valign="top"><div class="content">5.45</div></td></tr>
<tr>
<td class="first label"><div class="content">Avg. approval rating of the president</div></td>
<td class="number lightestblue" valign="top"><div class="content">38%</div></td>
<td class="number lightestblue" valign="top"><div class="content">34%</div></td>
<td class="number blue" valign="top"><div class="content">30%</div></td>
<td class="number lightblue" valign="top"><div class="content">57%</div></td></tr>
<tr>
<td class="first label"><div class="content">Avg. approval rating of Congress</div></td>
<td class="number lightblue" valign="top"><div class="content">25%</div></td>
<td class="number lightblue" valign="top"><div class="content">27%</div></td>
<td class="number blue" valign="top"><div class="content">19%</div></td>
<td class="number white" valign="top"><div class="content">30%</div></td></tr>
<tr>
<td class="first label"><div class="content">Avg. satisfied rating by Americans</div></td>
<td class="number lightestblue" valign="top"><div class="content">31%</div></td>
<td class="number lightestblue" valign="top"><div class="content">28%</div></td>
<td class="number blue" valign="top"><div class="content">15%</div></td>
<td class="number lightestblue" valign="top"><div class="content">27%</div></td></tr>
<tr class="last">
<td class="first label"><div class="content">Gap between Republican and Democratic presidential approval ratings </div></td>
<td class="number blue" valign="top"><div class="content">71%</div></td>
<td class="number lightestblue" valign="top"><div class="content">66%</div></td>
<td class="number white" valign="top"><div class="content">61%</div></td>
<td class="number lightestblue" valign="top"><div class="content">65%</div></td></tr></tbody></table></div><a name="story"></a><a href="#sources">See data sources »</a> <p><br>For all of President Obama’s domestic headaches, U.S. popularity abroad is up, especially in Europe, where approval of America has nearly doubled since 2006. Presidential popularity at home, at 57 percent, is also significantly higher than it was during the previous four years. Even average happiness levels – which fell markedly with the crisis in 2008 - increased in most regions of the world (except Europe) in 2009. <br><br>America’s positive image abroad should facilitate greater cooperation as the world’s leaders find it easier to work with a United States that is more popular with their people. However, it is notable that the rebound in popularity in Europe and Asia is twice that of the Arab and Muslim World, and this despite President Obama’s determined and deft outreach to this latter constituency in particular. They like the new tone emanating from Washington but their skepticism remains because of the lack of results so far on the symbolic issues where Obama promised the most significant changes: Israeli-Palestinian peace; the closing of Guantanamo; and engagement with Iran. <br><br>Although virtually all key indicators in the global economy fell significantly last year, people can breathe easier today. Economic projections for 2010 are much more positive, although there is plenty of debate about how strong and sustainable the recovery will be, particularly in the advanced economies of the United States, Europe and Japan, where slow jobs growth and high debt levels increasingly constrain governments’ abilities to stimulate economic growth without generating inflation. <br><br>Ironically, these economies are now dependent on the continued successful performance of the developing and emerging market economies, which have outperformed the more advanced economies in weathering the crisis and now in projected performance. These economies maintained positive GDP growth rates (on average) for 2009 and are projected to grow 6 percent in 2010, in comparison with negative 2009 growth and insipid 2.1 percent 2010 growth for the advanced economies. <br><br>There is a second, greater irony embedded in these growth statistics: the advanced economies that drove the financial crisis – with the United States front and center – were poster children for poor fiscal management, over-leveraged debt, and inadequate financial regulations. The looming debt crisis in Greece is case in point. In contrast, the emerging market economies were able to weather the storm and recover more quickly primarily because, for the most part, they followed the “Washington consensus” reforms recommended by American-influenced international financial institutions – fiscal and regulatory discipline, liberalized and diversified trade regimes, and reduced foreign debt obligations. <br><br>These emerging economies are not free of economic challenges, but they have emerged from the crisis as a force to be reckoned with. And they know it. The newfound confidence of China, India and Brazil in particular has bred an expectation that their emerging power status will be recognized and accommodated within the international system. This has already begun to generate tensions, most noticeably in the increasingly scratchy relationship between China and the United States. <br><br>Managing the adjustment of these shifting balances of power will need President Obama’s sustained attention. In this regard, he has been helped by the resetting of relations with Russia, which should result in a new arms reduction treaty and greater international cooperation in dealing with the threats of nuclear proliferation from Iran and North Korea. <br><br>The successful management of U.S. troop withdrawals from Iraq is evidenced by the fact that civilian fatalities have dropped by half in the past four years and the contest for power is shifting to the political arena as new elections loom. Setbacks will be inevitable but if the positive momentum can be maintained through 2010 on the military and political levels, the focus can then shift to the important task of integrating a recovering Iraq into a regional Gulf security framework. <br><br>That will also enable the United States to focus attention on Iran, the other Gulf power, which seems increasingly determined to reach the nuclear weapons threshold in 2010. The domestic upheaval in 2009 caused by the stealing of the June elections has generated a split within the Iranian regime, and between the regime and the people, with unpredictable results. For the time being the hardliners seem to have consolidated their control and recently discovered that defiance of international demands to curb their nuclear program can help shift the public focus to outside challenges. <br><br>This Iranian defiance comes at a time when President Obama is under political pressure to demonstrate that he is strong on national security issues. He also must protect his signature foreign policy initiative of strengthening the nuclear non-proliferation regime. He seems to have chosen Iran’s nuclear program as the place where he will plant his flag and take a stand to prevent a nuclear arms race in the Middle East. Growing tensions and possible confrontation loom on the horizon. <br><br>Again, it is ironic that while Obama is perceived as weak and unable to deliver internationally, on the terrorism issue – the most critical national security concern for the American people – 2009 saw important progress. Casualties from terrorist attacks held steady while the number of leading Al Qaeda and Taliban militants that were killed or captured increased dramatically from the Pakistan military. Whether Obama’s decision to send 30,000 additional troops to Afghanistan, combined with a new political strategy of splitting the Taliban troops from their leadership and their leadership from Al Qaeda, will succeed in 2010 is far from clear. The question that hangs over the whole enterprise is whether the Afghan government, army, and police, will be capable of reasserting control of the territory and people won back from the Taliban by the more sophisticated application of NATO force. <br><br>That question is particularly important because President Obama has made clear that withdrawal of American troops from Afghanistan will begin in 18 months. Although this commitment is conditioned on prevailing circumstances at the time, it underscores a new reality with which the United States must start to come to terms in 2010. The massive debt overhang – already 53 percent of GDP, or a massive $7.5 trillion this year, is on a path to grow to an even larger $8.8 trillion or 60% of GDP in 2010. Resolving this will require a serious belt-tightening exercise. So far the Obama administration has fenced off expenditures on national security. But this is simply unsustainable over time. Cuts in the defense budget will be as necessary as reductions in other non-discretionary spending by the U.S. Government. And that will inevitably mean reduced commitments abroad. <br><br>In short, while the world is clearly – and more happily - recovering from the crises of 2009, new crises and challenges loom on the horizon for the United States. In national security as in economics, we are not out of the woods yet. <br><br><br><strong>See also:</strong> <br>» <a href="/governance/govwatch.aspx">GovWatch</a>—tracking the progress and performance of our institutions in economic recovery <br>» <a href="/metro/MetroMonitor.aspx">MetroMonitor</a>—a barometer of the health of America’s 100 largest metropolitan economies<br><br></p><a name="sources"></a><h2>Sources:</h2><p>Congressional Budget Office. <em>The Budget and Economic Outlook: FY 2010 to 2020</em>. Table F-1 and F-2. <a title="http://www.cbo.gov/ftpdocs/108xx/doc10871/01-26-Outlook.pdf" href="http://www.cbo.gov/ftpdocs/108xx/doc10871/01-26-Outlook.pdf">http://www.cbo.gov/ftpdocs/108xx/doc10871/01-26-Outlook.pdf</a></p><p>Global Life Satisfaction Calculations, by Graham and Chattopadhyay (2010), Brookings Institution, based on Gallup World Polls (2006-2009)</p><p>Global Fatalities from Terrorism: Worldwide Incidents Tracking System (WITS)  <a title="http://wits.nctc.gov/Main.do" href="http://wits.nctc.gov/Main.do">http://wits.nctc.gov/Main.do</a></p><p>The Gallup Organization. “Presidential Approval.” Gallup Poll News Service; unpublished data from the Gallup Poll (<a href="http://www.gallup.com/">http://www.gallup.com</a>)</p><p>The Gallup Organization. "Presidential Approval Ratings – Barack Obama." Retrieved January 20, 2010 from The Gallup Poll web site. <a href="http://www.gallup.com/poll/116479/Barack-Obama-Presidential-Job-Approval.aspx">http://www.gallup.com/poll/116479/Barack-Obama-Presidential-Job-Approval.aspx</a>  </p><p>The Gallup Organization. "Congress and the Public." Retrieved January 20, 2010, from The Gallup Poll. <a href="http://www.gallup.com/poll/1600/Congress-Public.aspx">http://www.gallup.com/poll/1600/Congress-Public.aspx</a> </p><p><em>IMF World Economic Outlook (WEO), </em>October 2009 for 2005-2007, WEO January 2010 update for 2008-2011. NOTE: 2009 figures are IMF estimates. Country level GDP in constant prices</p><p><em>Remittances: International Financial Statisitcs service of the International Monetary Fund</em> , <a href="http://www.imfstatistics.org/imf/">http://www.imfstatistics.org/imf/</a> </p><p>U.S. Bureau of Economic Analysis, NIPA Table 1.1.1 (January 2010)</p><p>U.S. Bureau of Labor Statistics, Consumer Price Index, All Urban Consumers, Seasonally Adjusted (Janaury 2010) <a href="http://www.bls.gov/CPI">http://www.bls.gov/CPI</a> </p><p>U.S. Bureau of Labor Statistics, Current Population Survey Unemployment Data (January 2010) <a href="http://www.bls.gov/cps/">http://www.bls.gov/cps/</a> </p><p>U.S. Bureau of Labor Statistics Current Employment Statistics (February 2010) <a href="http://www.bls.gov/ces/">http://www.bls.gov/ces/</a> </p><p>Reuters/University of Michigan. Archived at Federal Reserve Bank of St. Louis Economic Database (FRED) (February 2010) <a href="http://research.stlouisfed.org/fred2/">http://research.stlouisfed.org/fred2/</a> <br><br>Freddie Mac Primary Mortgage Market Survey <br><br>U.S. War Fatalities: Department of Defense <a title="http://siadapp.dmdc.osd.mil/personnel/CASUALTY/castop.htm" href="http://siadapp.dmdc.osd.mil/personnel/CASUALTY/castop.htm">http://siadapp.dmdc.osd.mil/personnel/CASUALTY/castop.htm</a></p><p>U.S. Popularity Abroad: The Pew Global Attitudes Surveys (2006-2009) <a title="http://pewglobal.org/database/?indicator=1" href="http://pewglobal.org/database/?indicator=1">http://pewglobal.org/database/?indicator=1</a></p></div></p><h4>
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		<li><a href="http://www.brookings.edu/~/media/research/files/papers/2010/2/28-recovery-renewal/0228_how_were_doing_index.pdf">Download Full Paper - English</a></li>
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		<h4>
			Authors
		</h4><ul>
			<li><a href="http://www.brookings.edu/experts/grahamc?view=bio">Carol Graham</a></li><li><a href="http://www.brookings.edu/experts/indykm?view=bio">Martin S. Indyk</a></li>
		</ul>
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		Publication: The Brookings Institution and The Washington Post
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		Image Source: © Kevin Coombs / Reuters
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</description><pubDate>Sun, 28 Feb 2010 00:00:00 -0500</pubDate><dc:creator>Carol Graham and Martin S. Indyk</dc:creator><content:encoded><![CDATA[<div>
	<img src="http://www.brookings.edu/~/media/research/images/o/oa%20oe/obama_g20london001_16x9.jpg?w=120" alt="" border="0" />
<br><p><strong>Index #3:  Previous Four Years</strong> </p><p>Judged by most standards, America and the world are better off today than they were a year ago when President Obama entered office. While few Americans will forget the fear of global economic meltdown that accompanied the 44th president’s inauguration and the drastic stimulus and triage measures that had to be taken to arrest the economic freefall, public optimism, as measured by a variety of opinion poll measures, has recovered. 
<br>
<br>But many workers, especially those in the once-thriving Sun Belt, are still suffering severe unemployment. In some ways, we’ve faced a marked decline since 2006, when world GDP growth was at nearly 4 percent and world trade growth was more than 20 percentage points higher than in 2009. In this third “How We’re Doing” Index, a team of Brookings experts takes a four-year look at key local, domestic and global indicators to gauge the shifting position of the United States and the larger international system.</p>
<p><a href="#story">Continue reading below chart »</a> </p>
<div class="interactive_table"><!-- Table 1 Begins Here --><h2>"Common Defense"</h2>
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="second person" valign="top"><div class="content"><p><b>2006</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2007</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2008</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009</b></p></div></td></tr>
<tr>
<td class="first label"><div class="content">Global fatalities from terrorism (monthly average)</div></td>
<td class="number lightblue" valign="top"><div class="content">1700</div></td>
<td class="number blue" valign="top"><div class="content">1900</div></td>
<td class="number white" valign="top"><div class="content">1300</div></td>
<td class="number lightestblue" valign="top"><div class="content">1300 (thru Sept.)</div></td></tr>
<tr>
<td class="first label"><div class="content">Number of U.S. troops in Iraq and Afghanistan at year's end (1,000s)</div></td>
<td class="number white" valign="top"><div class="content">162</div></td>
<td class="number white" valign="top"><div class="content">185</div></td>
<td class="number white" valign="top"><div class="content">177</div></td>
<td class="number white" valign="top"><div class="content">178</div></td></tr>
<tr>
<td class="first label"><div class="content">U.S. military combat fatalities in Iraq and Afghanistan</div></td>
<td class="number lightblue" valign="top"><div class="content">918</div></td>
<td class="number blue" valign="top"><div class="content">990</div></td>
<td class="number white" valign="top"><div class="content">468</div></td>
<td class="number white" valign="top"><div class="content">449</div></td></tr>
<tr>
<td class="first label"><div class="content">U.S. popularity abroad, by region:</div></td>
<td class="number white" valign="top"><div class="content"></div></td>
<td class="number white" valign="top"><div class="content"></div></td>
<td class="number white" valign="top"><div class="content"></div></td>
<td class="number white" valign="top"><div class="content"></div></td></tr>
<tr>
<td class="first label" valign="middle" align="right"><div class="content">Asia</div></td>
<td class="number white" valign="top"><div class="content">52</div></td>
<td class="number white" valign="top"><div class="content">51</div></td>
<td class="number white" valign="top"><div class="content">55</div></td>
<td class="number white" valign="top"><div class="content">61</div></td></tr>
<tr>
<td class="first label" valign="middle" align="right"><div class="content">Europe</div></td>
<td class="number lightblue" valign="top"><div class="content">39</div></td>
<td class="number lightestblue" valign="top"><div class="content">46</div></td>
<td class="number lightestblue" valign="top"><div class="content">45</div></td>
<td class="number white" valign="top"><div class="content">67</div></td></tr>
<tr>
<td class="first label" valign="middle" align="right"><div class="content">Middle East/Islamic World</div></td>
<td class="number blue" valign="top"><div class="content">23</div></td>
<td class="number blue" valign="top"><div class="content">27</div></td>
<td class="number blue" valign="top"><div class="content">27</div></td>
<td class="number lightblue" valign="top"><div class="content">31</div></td></tr></tbody></table><!-- Table 2 Begins Here--><h2>"General Welfare"</h2>
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="second person" valign="top"><div class="content"><p><b>2006</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2007</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2008</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009</b></p></div></td></tr>
<tr>
<td class="first label"><div class="content">U.S. real GDP growth (annual percent change)</div></td>
<td class="number white" valign="top"><div class="content">2.7%</div></td>
<td class="number lighestblue" valign="top"><div class="content">2.1%</div></td>
<td class="number lightblue" valign="top"><div class="content">0.4%</div></td>
<td class="number blue" valign="top"><div class="content">-2.4%</div></td></tr>
<tr>
<td class="first label"><div class="content">World GDP growth (annual percent change)</div></td>
<td class="number white" valign="top"><div class="content">3.9%</div></td>
<td class="number white" valign="top"><div class="content">3.8%</div></td>
<td class="number lightblue" valign="top"><div class="content">1.8%</div></td>
<td class="number blue" valign="top"><div class="content">-2.1%</div></td></tr>
<tr>
<td class="first label" valign="middle" align="right"><div class="content">Brazil GDP growth</div></td>
<td class="number white" valign="top"><div class="content">4.0%</div></td>
<td class="number white" valign="top"><div class="content">5.7%</div></td>
<td class="number white" valign="top"><div class="content">5.1%</div></td>
<td class="number lightestblue" valign="top"><div class="content">-0.7%</div></td></tr>
<tr>
<td class="first label" align="right"><div class="content">China GDP growth</div></td>
<td class="number white" valign="top"><div class="content">11.6%</div></td>
<td class="number white" valign="top"><div class="content">13.0%</div></td>
<td class="number white" valign="top"><div class="content">9.0%</div></td>
<td class="number white" valign="top"><div class="content">8.5%</div></td></tr>
<tr>
<td class="first label" valign="middle" align="right"><div class="content">India GDP growth</div></td>
<td class="number white" valign="top"><div class="content">9.8%</div></td>
<td class="number white" valign="top"><div class="content">9.4%</div></td>
<td class="number white" valign="top"><div class="content">7.3%</div></td>
<td class="number lightestblue" valign="top"><div class="content">5.4%</div></td></tr>
<tr>
<td class="first label" valign="middle" align="right"><div class="content">South Africa GDP growth</div></td>
<td class="number white" valign="top"><div class="content">5.3%</div></td>
<td class="number white" valign="top"><div class="content">5.1%</div></td>
<td class="number lightblue" valign="top"><div class="content">3.1%</div></td>
<td class="number blue" valign="top"><div class="content">-2.2%</div></td></tr>
<tr>
<td class="first label"><div class="content">World trade growth (annual percent change)</div></td>
<td class="number white" valign="top"><div class="content">9.1</div></td>
<td class="number white" valign="top"><div class="content">7.3</div></td>
<td class="number lightblue" valign="top"><div class="content">2.8</div></td>
<td class="number blue" valign="top"><div class="content">-12.3</div></td></tr>
<tr>
<td class="first label"><div class="content">Workers' remittances (world inflows, annual percent change)</div></td>
<td class="number white" valign="top"><div class="content">15.3%</div></td>
<td class="number white" valign="top"><div class="content">21.3%</div></td>
<td class="number white" valign="top"><div class="content">15.3%</div></td>
<td class="number blue" valign="top"><div class="content">-5.3%</div></td></tr>
<tr>
<td class="first label"><div class="content">U.S. federal debt as percent of GDP</div></td>
<td class="number lightestblue" valign="top"><div class="content">36.5%</div></td>
<td class="number lightestblue" valign="top"><div class="content">36.2%</div></td>
<td class="number lightblue" valign="top"><div class="content">40.2%</div></td>
<td class="number blue" valign="top"><div class="content">53.0%</div></td></tr>
<tr>
<td class="first label"><div class="content">U.S. unemployment rate (avg. among persons 16 years and older)</div></td>
<td class="number lightestblue" valign="top"><div class="content">4.6%</div></td>
<td class="number lightestblue" valign="top"><div class="content">4.6%</div></td>
<td class="number lightblue" valign="top"><div class="content">5.8%</div></td>
<td class="number blue" valign="top"><div class="content">9.3%</div></td></tr>
<tr>
<td class="first label"><div class="content">Inflation rate (CPI-U, all urban consumers)</div></td>
<td class="number lightestblue" valign="top"><div class="content">2.5%</div></td>
<td class="number lightblue" valign="top"><div class="content">4.1%</div></td>
<td class="number white" valign="top"><div class="content">0.1%</div></td>
<td class="number lightestblue" valign="top"><div class="content">2.7%</div></td></tr>
<tr>
<td class="first label"><div class="content">Percent change in U.S. payroll employment (December from one year prior)</div></td>
<td class="number lightestblue" valign="top"><div class="content">1.6%</div></td>
<td class="number lightblue" valign="top"><div class="content">0.8%</div></td>
<td class="number blue" valign="top"><div class="content">-2.6%</div></td>
<td class="number blue" valign="top"><div class="content">-3.6%</div></td></tr>
<tr>
<td class="first label"><div class="content" align="right">Percent change in payroll employment in the Washington, DC metro area (December from one year prior)</div></td>
<td class="number lightestblue" valign="top"><div class="content">1.3%</div></td>
<td class="number lightestblue" valign="top"><div class="content">0.7%</div></td>
<td class="number lightblue" valign="top"><div class="content">-0.5%</div></td>
<td class="number lightblue" valign="top"><div class="content">-0.5%</div></td></tr>
<tr>
<td class="first label"><div class="content" align="right">Percent change in payroll employment in the Las Vegas metro area (December from one year prior)</div></td>
<td class="number white" valign="top"><div class="content">2.7%</div></td>
<td class="number lightestblue" valign="top"><div class="content">0.9%</div></td>
<td class="number lightblue" valign="top"><div class="content">-3.9%</div></td>
<td class="number blue" valign="top"><div class="content">-7.4%</div></td></tr>
<tr>
<td class="first label"><div class="content" align="right">Percent change in payroll employment in the Cleveland metro area (December from one year prior)</div></td>
<td class="number lightblue" valign="top"><div class="content">-0.4%</div></td>
<td class="number lightblue" valign="top"><div class="content">-0.4%</div></td>
<td class="number blue" valign="top"><div class="content">-3.3%</div></td>
<td class="number blue" valign="top"><div class="content">-4.1%</div></td></tr>
<tr>
<td class="first label"><div class="content">Dow Jones Industrial Average at year's end</div></td>
<td class="number white" valign="top"><div class="content">12,463</div></td>
<td class="number white" valign="top"><div class="content">13,265</div></td>
<td class="number blue" valign="top"><div class="content">8,776</div></td>
<td class="number lightestblue" valign="top"><div class="content">10,428</div></td></tr>
<tr>
<td class="first label"><div class="content">30-year conventional mortgage rate at year's end</div></td>
<td class="number lightblue" valign="top"><div class="content">6.14%</div></td>
<td class="number lightblue" valign="top"><div class="content">6.10%</div></td>
<td class="number lightestblue" valign="top"><div class="content">5.29%</div></td>
<td class="number white" valign="top"><div class="content">4.93%</div></td></tr>
<tr>
<td class="first label"><div class="content">Personal saving rate</div></td>
<td class="number lightestblue" valign="top"><div class="content">2.4%</div></td>
<td class="number lightblue" valign="top"><div class="content">1.7%</div></td>
<td class="number lightestblue" valign="top"><div class="content">2.7%</div></td>
<td class="number white" valign="top"><div class="content">4.3%</div></td></tr>
<tr>
<td class="first label"><div class="content">Consumer sentiment index at year's end (1966 = 100)</div></td>
<td class="number white" valign="top"><div class="content">91.7</div></td>
<td class="number lightblue" valign="top"><div class="content">75.5</div></td>
<td class="number blue" valign="top"><div class="content">60.1</div></td>
<td class="number lightblue" valign="top"><div class="content">72.5</div></td></tr></tbody></table><!-- Table 3 Begins Here --><h2>"Blessings of Liberty"</h2>
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="second person" valign="top"><div class="content"><p><b>2006</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2007</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2008</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009</b></p></div></td></tr>
<tr>
<td class="first label"><div class="content">Avg. global happiness (0-10 scale)</div></td>
<td class="number white" valign="top"><div class="content">5.41</div></td>
<td class="number white" valign="top"><div class="content">5.51</div></td>
<td class="number white" valign="top"><div class="content">5.41</div></td>
<td class="number white" valign="top"><div class="content">5.45</div></td></tr>
<tr>
<td class="first label"><div class="content">Avg. approval rating of the president</div></td>
<td class="number lightestblue" valign="top"><div class="content">38%</div></td>
<td class="number lightestblue" valign="top"><div class="content">34%</div></td>
<td class="number blue" valign="top"><div class="content">30%</div></td>
<td class="number lightblue" valign="top"><div class="content">57%</div></td></tr>
<tr>
<td class="first label"><div class="content">Avg. approval rating of Congress</div></td>
<td class="number lightblue" valign="top"><div class="content">25%</div></td>
<td class="number lightblue" valign="top"><div class="content">27%</div></td>
<td class="number blue" valign="top"><div class="content">19%</div></td>
<td class="number white" valign="top"><div class="content">30%</div></td></tr>
<tr>
<td class="first label"><div class="content">Avg. satisfied rating by Americans</div></td>
<td class="number lightestblue" valign="top"><div class="content">31%</div></td>
<td class="number lightestblue" valign="top"><div class="content">28%</div></td>
<td class="number blue" valign="top"><div class="content">15%</div></td>
<td class="number lightestblue" valign="top"><div class="content">27%</div></td></tr>
<tr class="last">
<td class="first label"><div class="content">Gap between Republican and Democratic presidential approval ratings </div></td>
<td class="number blue" valign="top"><div class="content">71%</div></td>
<td class="number lightestblue" valign="top"><div class="content">66%</div></td>
<td class="number white" valign="top"><div class="content">61%</div></td>
<td class="number lightestblue" valign="top"><div class="content">65%</div></td></tr></tbody></table></div><a name="story"></a><a href="#sources">See data sources »</a> <p>
<br>For all of President Obama’s domestic headaches, U.S. popularity abroad is up, especially in Europe, where approval of America has nearly doubled since 2006. Presidential popularity at home, at 57 percent, is also significantly higher than it was during the previous four years. Even average happiness levels – which fell markedly with the crisis in 2008 - increased in most regions of the world (except Europe) in 2009. 
<br>
<br>America’s positive image abroad should facilitate greater cooperation as the world’s leaders find it easier to work with a United States that is more popular with their people. However, it is notable that the rebound in popularity in Europe and Asia is twice that of the Arab and Muslim World, and this despite President Obama’s determined and deft outreach to this latter constituency in particular. They like the new tone emanating from Washington but their skepticism remains because of the lack of results so far on the symbolic issues where Obama promised the most significant changes: Israeli-Palestinian peace; the closing of Guantanamo; and engagement with Iran. 
<br>
<br>Although virtually all key indicators in the global economy fell significantly last year, people can breathe easier today. Economic projections for 2010 are much more positive, although there is plenty of debate about how strong and sustainable the recovery will be, particularly in the advanced economies of the United States, Europe and Japan, where slow jobs growth and high debt levels increasingly constrain governments’ abilities to stimulate economic growth without generating inflation. 
<br>
<br>Ironically, these economies are now dependent on the continued successful performance of the developing and emerging market economies, which have outperformed the more advanced economies in weathering the crisis and now in projected performance. These economies maintained positive GDP growth rates (on average) for 2009 and are projected to grow 6 percent in 2010, in comparison with negative 2009 growth and insipid 2.1 percent 2010 growth for the advanced economies. 
<br>
<br>There is a second, greater irony embedded in these growth statistics: the advanced economies that drove the financial crisis – with the United States front and center – were poster children for poor fiscal management, over-leveraged debt, and inadequate financial regulations. The looming debt crisis in Greece is case in point. In contrast, the emerging market economies were able to weather the storm and recover more quickly primarily because, for the most part, they followed the “Washington consensus” reforms recommended by American-influenced international financial institutions – fiscal and regulatory discipline, liberalized and diversified trade regimes, and reduced foreign debt obligations. 
<br>
<br>These emerging economies are not free of economic challenges, but they have emerged from the crisis as a force to be reckoned with. And they know it. The newfound confidence of China, India and Brazil in particular has bred an expectation that their emerging power status will be recognized and accommodated within the international system. This has already begun to generate tensions, most noticeably in the increasingly scratchy relationship between China and the United States. 
<br>
<br>Managing the adjustment of these shifting balances of power will need President Obama’s sustained attention. In this regard, he has been helped by the resetting of relations with Russia, which should result in a new arms reduction treaty and greater international cooperation in dealing with the threats of nuclear proliferation from Iran and North Korea. 
<br>
<br>The successful management of U.S. troop withdrawals from Iraq is evidenced by the fact that civilian fatalities have dropped by half in the past four years and the contest for power is shifting to the political arena as new elections loom. Setbacks will be inevitable but if the positive momentum can be maintained through 2010 on the military and political levels, the focus can then shift to the important task of integrating a recovering Iraq into a regional Gulf security framework. 
<br>
<br>That will also enable the United States to focus attention on Iran, the other Gulf power, which seems increasingly determined to reach the nuclear weapons threshold in 2010. The domestic upheaval in 2009 caused by the stealing of the June elections has generated a split within the Iranian regime, and between the regime and the people, with unpredictable results. For the time being the hardliners seem to have consolidated their control and recently discovered that defiance of international demands to curb their nuclear program can help shift the public focus to outside challenges. 
<br>
<br>This Iranian defiance comes at a time when President Obama is under political pressure to demonstrate that he is strong on national security issues. He also must protect his signature foreign policy initiative of strengthening the nuclear non-proliferation regime. He seems to have chosen Iran’s nuclear program as the place where he will plant his flag and take a stand to prevent a nuclear arms race in the Middle East. Growing tensions and possible confrontation loom on the horizon. 
<br>
<br>Again, it is ironic that while Obama is perceived as weak and unable to deliver internationally, on the terrorism issue – the most critical national security concern for the American people – 2009 saw important progress. Casualties from terrorist attacks held steady while the number of leading Al Qaeda and Taliban militants that were killed or captured increased dramatically from the Pakistan military. Whether Obama’s decision to send 30,000 additional troops to Afghanistan, combined with a new political strategy of splitting the Taliban troops from their leadership and their leadership from Al Qaeda, will succeed in 2010 is far from clear. The question that hangs over the whole enterprise is whether the Afghan government, army, and police, will be capable of reasserting control of the territory and people won back from the Taliban by the more sophisticated application of NATO force. 
<br>
<br>That question is particularly important because President Obama has made clear that withdrawal of American troops from Afghanistan will begin in 18 months. Although this commitment is conditioned on prevailing circumstances at the time, it underscores a new reality with which the United States must start to come to terms in 2010. The massive debt overhang – already 53 percent of GDP, or a massive $7.5 trillion this year, is on a path to grow to an even larger $8.8 trillion or 60% of GDP in 2010. Resolving this will require a serious belt-tightening exercise. So far the Obama administration has fenced off expenditures on national security. But this is simply unsustainable over time. Cuts in the defense budget will be as necessary as reductions in other non-discretionary spending by the U.S. Government. And that will inevitably mean reduced commitments abroad. 
<br>
<br>In short, while the world is clearly – and more happily - recovering from the crises of 2009, new crises and challenges loom on the horizon for the United States. In national security as in economics, we are not out of the woods yet. 
<br>
<br>
<br><strong>See also:</strong> 
<br>» <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/governance/govwatch.aspx">GovWatch</a>—tracking the progress and performance of our institutions in economic recovery 
<br>» <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/metro/MetroMonitor.aspx">MetroMonitor</a>—a barometer of the health of America’s 100 largest metropolitan economies
<br>
<br></p><a name="sources"></a><h2>Sources:</h2><p>Congressional Budget Office. <em>The Budget and Economic Outlook: FY 2010 to 2020</em>. Table F-1 and F-2. <a title="http://www.cbo.gov/ftpdocs/108xx/doc10871/01-26-Outlook.pdf" href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.cbo.gov/ftpdocs/108xx/doc10871/01-26-Outlook.pdf">http://www.cbo.gov/ftpdocs/108xx/doc10871/01-26-Outlook.pdf</a></p><p>Global Life Satisfaction Calculations, by Graham and Chattopadhyay (2010), Brookings Institution, based on Gallup World Polls (2006-2009)</p><p>Global Fatalities from Terrorism: Worldwide Incidents Tracking System (WITS)  <a title="http://wits.nctc.gov/Main.do" href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~wits.nctc.gov/Main.do">http://wits.nctc.gov/Main.do</a></p><p>The Gallup Organization. “Presidential Approval.” Gallup Poll News Service; unpublished data from the Gallup Poll (<a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.gallup.com/">http://www.gallup.com</a>)</p><p>The Gallup Organization. "Presidential Approval Ratings – Barack Obama." Retrieved January 20, 2010 from The Gallup Poll web site. <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.gallup.com/poll/116479/Barack-Obama-Presidential-Job-Approval.aspx">http://www.gallup.com/poll/116479/Barack-Obama-Presidential-Job-Approval.aspx</a>  </p><p>The Gallup Organization. "Congress and the Public." Retrieved January 20, 2010, from The Gallup Poll. <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.gallup.com/poll/1600/Congress-Public.aspx">http://www.gallup.com/poll/1600/Congress-Public.aspx</a> </p><p><em>IMF World Economic Outlook (WEO), </em>October 2009 for 2005-2007, WEO January 2010 update for 2008-2011. NOTE: 2009 figures are IMF estimates. Country level GDP in constant prices</p><p><em>Remittances: International Financial Statisitcs service of the International Monetary Fund</em> , <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.imfstatistics.org/imf/">http://www.imfstatistics.org/imf/</a> </p><p>U.S. Bureau of Economic Analysis, NIPA Table 1.1.1 (January 2010)</p><p>U.S. Bureau of Labor Statistics, Consumer Price Index, All Urban Consumers, Seasonally Adjusted (Janaury 2010) <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.bls.gov/CPI">http://www.bls.gov/CPI</a> </p><p>U.S. Bureau of Labor Statistics, Current Population Survey Unemployment Data (January 2010) <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.bls.gov/cps/">http://www.bls.gov/cps/</a> </p><p>U.S. Bureau of Labor Statistics Current Employment Statistics (February 2010) <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.bls.gov/ces/">http://www.bls.gov/ces/</a> </p><p>Reuters/University of Michigan. Archived at Federal Reserve Bank of St. Louis Economic Database (FRED) (February 2010) <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~research.stlouisfed.org/fred2/">http://research.stlouisfed.org/fred2/</a> 
<br>
<br>Freddie Mac Primary Mortgage Market Survey 
<br>
<br>U.S. War Fatalities: Department of Defense <a title="http://siadapp.dmdc.osd.mil/personnel/CASUALTY/castop.htm" href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~siadapp.dmdc.osd.mil/personnel/CASUALTY/castop.htm">http://siadapp.dmdc.osd.mil/personnel/CASUALTY/castop.htm</a></p><p>U.S. Popularity Abroad: The Pew Global Attitudes Surveys (2006-2009) <a title="http://pewglobal.org/database/?indicator=1" href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~pewglobal.org/database/?indicator=1">http://pewglobal.org/database/?indicator=1</a></p></div></p><h4>
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		<li><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/~/media/research/files/papers/2010/2/28-recovery-renewal/0228_how_were_doing_index.pdf">Download Full Paper - English</a></li>
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			Authors
		</h4><ul>
			<li><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/experts/grahamc?view=bio">Carol Graham</a></li><li><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/experts/indykm?view=bio">Martin S. Indyk</a></li>
		</ul>
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		Publication: The Brookings Institution and The Washington Post
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		Image Source: © Kevin Coombs / Reuters
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<feedburner:origLink>http://www.brookings.edu/research/papers/2009/11/15-recovery-renewal?rssid=How+Were+Doing</feedburner:origLink><guid isPermaLink="false">{395C4891-CA30-4C5B-9A7A-36BA8D1C5BC1}</guid><link>http://webfeeds.brookings.edu/~/65487241/0/brookingsrss/series/howweredoing~How-Were-Doing-Whats-Blocking-the-Recovery</link><title>How We're Doing: What's Blocking the Recovery</title><description><![CDATA[<div>
	<p><strong>Index #2:  Last Five Quarters</strong> <br><br><p>The economy’s expansion last quarter, for the first time in more than a year, has prompted much speculation that the recession is over. This turning point, however, simply marks an end to the decline in activity. The unemployment rate is at the highest level since the early 1980s, and full employment remains a long way off. Early this year a team of scholars at the Brookings Institution began tracking data to assess where the nation stands regarding the Constitution’s mandates that the government “provide for the common defense, promote the general welfare, and secure the blessings of liberty.” In this second “How We’re Doing” index, we examine the forces that stand in the way of a strong rebound. &lt;not-mobile message=""&gt;<a href="#story">Continue reading below chart »</a> &lt;/not-mobile&gt;<br><br><b>Related Materials:</b> <br>» <a href="http://www.brookings.edu/multimedia/videos/2009/11/15-recovery-renewal" name="&lid={9B62A1B6-E485-4FAE-9F6B-2DD968FA64A1}&lpos=loc:body">Videos of Karen Dynan and Alan Berube discussing the new index<br></a>» <a href="http://www.brookings.edu/papers/2009/0726_recovery_renewal.aspx">Index #1: Presidential first half-years</a> </p></p><p>&lt;not-mobile message="** To see the full indicator chart, please visit brookings.edu on your desktop **"&gt;
		<div class="interactive_table">
      <!-- Table 1 Begins Here -->
      <h2>"General Welfare"</h2>
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="second person" valign="top"><div class="content"><p><b>2008 Q3</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2008 Q4</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q1</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q2</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q3</b></p></div></td></tr>
<tr>
<td class="first label"><div class="content">Real GDP growth (annualized)</div></td>
<td class="number lightblue" valign="top"><div class="content">-2.7%</div></td>
<td class="number blue" valign="top"><div class="content">-5.4%</div></td>
<td class="number blue" valign="top"><div class="content">-6.4%</div></td>
<td class="number lightestblue" valign="top"><div class="content">-0.7%</div></td>
<td class="number white" valign="top"><div class="content">3.5%</div></td></tr>
<tr>
<td class="first label"><div class="content">National unemployment rate</div></td>
<td class="number white" valign="top"><div class="content">6.0%</div></td>
<td class="number lightestblue" valign="top"><div class="content">6.9%</div></td>
<td class="number lightblue" valign="top"><div class="content">8.1%</div></td>
<td class="number blue" valign="top"><div class="content">9.2%</div></td>
<td class="number blue" valign="top"><div class="content">9.6%</div></td></tr>
<tr>
<td class="first label"><div class="content">Change in payroll employment from one year prior:</div></td>
<td class="number white" valign="top"><div class="content"></div></td>
<td class="number white" valign="top"><div class="content"></div></td>
<td class="number white" valign="top"><div class="content"></div></td>
<td class="number white" valign="top"><div class="content"></div></td>
<td class="number white" valign="top"><div class="content"></div></td></tr>
<tr>
<td class="first label" valign="middle" align="right">Cleveland metro area</td>
<td class="number lightestblue" valign="top"><div class="content">-1.1%</div></td>
<td class="number lightblue" valign="top"><div class="content">-3.3%</div></td>
<td class="number lightblue" valign="top"><div class="content">-3.8%</div></td>
<td class="number blue" valign="top"><div class="content">-5.7%</div></td>
<td class="number blue" valign="top"><div class="content">-5.8%</div></td></tr>
<tr>
<td class="first label" valign="middle" align="right"><div class="content">Las Vegas metro area</div></td>
<td class="number white" valign="top"><div class="content">-1.5%</div></td>
<td class="number lightestblue" valign="top"><div class="content">-3.9%</div></td>
<td class="number lightblue" valign="top"><div class="content">-5.2%</div></td>
<td class="number blue" valign="top"><div class="content">-6.5%</div></td>
<td class="number blue" valign="top"><div class="content">-6.2%</div></td></tr>
<tr>
<td class="first label" valign="middle" align="right"><div class="content">New York metro area</div></td>
<td class="number white" valign="top"><div class="content">0.3%</div></td>
<td class="number lightestblue" valign="top"><div class="content">-1.7%</div></td>
<td class="number blue" valign="top"><div class="content">-2.5%</div></td>
<td class="number blue" valign="top"><div class="content">-2.6%</div></td>
<td class="number blue" valign="top"><div class="content">-2.5%</div></td></tr>
<tr>
<td class="first label" valign="middle" align="right"><div class="content">Washington, DC metro area</div></td>
<td class="number white" valign="top"><div class="content">0.6%</div></td>
<td class="number lightestblue" valign="top"><div class="content">-0.5%</div></td>
<td class="number lightblue" valign="top"><div class="content">-0.7%</div></td>
<td class="number blue" valign="top"><div class="content">-1.3%</div></td>
<td class="number blue" valign="top"><div class="content">-1.2%</div></td></tr>
<tr>
<td class="first label"><div class="content">Consumer sentiment index</div></td>
<td class="number lightestblue" valign="top"><div class="content">64.8</div></td>
<td class="number blue" valign="top"><div class="content">57.7</div></td>
<td class="number lightblue" valign="top"><div class="content">58.3</div></td>
<td class="number white" valign="top"><div class="content">68.2</div></td>
<td class="number white" valign="top"><div class="content">68.4</div></td></tr>
<tr>
<td class="first label"><div class="content">Real consumer spending growth (annualized)</div></td>
<td class="number blue" valign="top"><div class="content">-3.5%</div></td>
<td class="number blue" valign="top"><div class="content">-3.1%</div></td>
<td class="number lightestblue" valign="top"><div class="content">0.6%</div></td>
<td class="number lightblue" valign="top"><div class="content">-0.9%</div></td>
<td class="number white" valign="top"><div class="content">3.4%</div></td></tr>
<tr>
<td class="first label"><div class="content">Personal saving rate</div></td>
<td class="number blue" valign="top"><div class="content">2.2%</div></td>
<td class="number lightestblue" valign="top"><div class="content">3.8%</div></td>
<td class="number lightestblue" valign="top"><div class="content">3.7%</div></td>
<td class="number white" valign="top"><div class="content">4.9%</div></td>
<td class="number lightblue" valign="top"><div class="content">3.3%</div></td></tr>
<tr>
<td class="first label"><div class="content">Inflation rate (CPI-U, annualized)</div></td>
<td class="number blue" valign="top"><div class="content">6.2%</div></td>
<td class="number white" valign="top"><div class="content">-8.3%</div></td>
<td class="number white" valign="top"><div class="content">-2.4%</div></td>
<td class="number lightestblue" valign="top"><div class="content">1.3%</div></td>
<td class="number lightblue" valign="top"><div class="content">3.6%</div></td></tr>
<tr>
<td class="first label"><div class="content">Interest rate on 30-year fixed mortgage</div></td>
<td class="number blue" valign="top"><div class="content">6.32%</div></td>
<td class="number lightblue" valign="top"><div class="content">5.86%</div></td>
<td class="number white" valign="top"><div class="content">5.06%</div></td>
<td class="number white" valign="top"><div class="content">5.03%</div></td>
<td class="number lightestblue" valign="top"><div class="content">5.16%</div></td></tr>
<tr>
<td class="first label"><div class="content">Foreclosure start rate—all loans</div></td>
<td class="number white" valign="top"><div class="content">1.1%</div></td>
<td class="number white" valign="top"><div class="content">1.1%</div></td>
<td class="number blue" valign="top"><div class="content">1.4%</div></td>
<td class="number blue" valign="top"><div class="content">1.4%</div></td>
<td class="number slashed slashed_last" valign="top"><div class="content">N/A</div></td></tr>
<tr>
<td class="first label"><div class="content">Foreclosure start rate—prime loans</div></td>
<td class="number white" valign="top"><div class="content">0.6%</div></td>
<td class="number lightestblue" valign="top"><div class="content">0.7%</div></td>
<td class="number lightblue" valign="top"><div class="content">0.9%</div></td>
<td class="number blue" valign="top"><div class="content">1.0%</div></td>
<td class="number slashed slashed_last" valign="top"><div class="content">N/A</div></td></tr>
<tr>
<td class="first label"><div class="content">Foreclosure start rate—subprime Loans</div></td>
<td class="number white" valign="top"><div class="content">4.2%</div></td>
<td class="number lightblue" valign="top"><div class="content">4.0%</div></td>
<td class="number blue" valign="top"><div class="content">4.7%</div></td>
<td class="number white" valign="top"><div class="content">4.1%</div></td>
<td class="number slashed slashed_last" valign="top"><div class="content">N/A</div></td></tr>
<tr>
<td class="first label"><div class="content">Months' supply of new single-family homes (ratio of homes for sale to homes sold)</div></td>
<td class="number lightblue" valign="top"><div class="content">10.7</div></td>
<td class="number blue" valign="top"><div class="content">11.2</div></td>
<td class="number blue" valign="top"><div class="content">11.6</div></td>
<td class="number lightestblue" valign="top"><div class="content">9.4</div></td>
<td class="number white" valign="top"><div class="content">7.6</div></td></tr>
<tr>
<td class="first label"><div class="content">Change in home prices from last quarter:</div></td>
<td class="number white" valign="top"><div class="content"></div></td>
<td class="number white" valign="top"><div class="content"></div></td>
<td class="number white" valign="top"><div class="content"></div></td>
<td class="number white" valign="top"><div class="content"></div></td>
<td class="number white" valign="top"><div class="content"></div></td></tr>
<tr>
<td class="first label" valign="middle" align="right">National </td>
<td class="number lightblue" valign="top"><div class="content">-3.8%</div></td>
<td class="number blue" valign="top"><div class="content">-6.4%</div></td>
<td class="number blue" valign="top"><div class="content">-6.8%</div></td>
<td class="number white" valign="top"><div class="content">1.4%</div></td>
<td class="number slashed slashed_last" valign="top"><div class="content">N/A</div></td></tr>
<tr>
<td class="first label" valign="middle" align="right"><div class="content">Cleveland metro area </div></td>
<td class="number lightblue" valign="top"><div class="content">-0.6%</div></td>
<td class="number lightblue" valign="top"><div class="content">-2.6%</div></td>
<td class="number blue" valign="top"><div class="content">-6.2%</div></td>
<td class="number white" valign="top"><div class="content">6.8%</div></td>
<td class="number lightestblue" valign="top"><div class="content">0.0%</div></td></tr>
<tr>
<td class="first label" valign="middle" align="right"><div class="content">Las Vegas metro area </div></td>
<td class="number lightblue" valign="top"><div class="content">-8.8%</div></td>
<td class="number blue" valign="top"><div class="content">-9.2%</div></td>
<td class="number blue" valign="top"><div class="content">-10.5%</div></td>
<td class="number lightblue" valign="top"><div class="content">-8.8%</div></td>
<td class="number lightestblue" valign="top"><div class="content">-2.5%</div></td></tr>
<tr>
<td class="first label" valign="middle" align="right"><div class="content">New York metro area </div></td>
<td class="number lightestblue" valign="top"><div class="content">-1.8%</div></td>
<td class="number lightblue" valign="top"><div class="content">-4.2%</div></td>
<td class="number blue" valign="top"><div class="content">-4.9%</div></td>
<td class="number lightestblue" valign="top"><div class="content">-1.1%</div></td>
<td class="number white" valign="top"><div class="content">1.2%</div></td></tr>
<tr>
<td class="first label" valign="middle" align="right"><div class="content">Washington, DC metro area </div></td>
<td class="number lightestblue" valign="top"><div class="content">-4.1%</div></td>
<td class="number blue" valign="top"><div class="content">-6.1%</div></td>
<td class="number lightblue" valign="top"><div class="content">-4.8%</div></td>
<td class="number white" valign="top"><div class="content">2.2%</div></td>
<td class="number white" valign="top"><div class="content">2.8%</div></td></tr>
<tr>
<td class="first label"><div class="content">Federal Reserve balance sheet as a percentage of GDP (total factors supplying reserve funds as of end of quarter divided by annualized, seasonally adjusted GDP) </div></td>
<td class="number lightestblue" valign="top"><div class="content">8.58%</div></td>
<td class="number blue" valign="top"><div class="content">15.98%</div></td>
<td class="number lightblue" valign="top"><div class="content">14.86%</div></td>
<td class="number lightblue" valign="top"><div class="content">14.60%</div></td>
<td class="number blue" valign="top"><div class="content">15.26%</div></td></tr>
<tr>
<td class="first label"><div class="content">Yield on investment-grade corporate bonds (Moody's yield on seasoned corporate bonds—all industries, BAA) </div></td>
<td class="number white" valign="top"><div class="content">7.21%</div></td>
<td class="number white" valign="top"><div class="content">8.84%</div></td>
<td class="number white" valign="top"><div class="content">8.21%</div></td>
<td class="number white" valign="top"><div class="content">7.98%</div></td>
<td class="number white" valign="top"><div class="content">6.66%</div></td></tr>
<tr>
<td class="first label"><div class="content">Stock market—Dow Jones Industrial Average at end of quarter </div></td>
<td class="number lightestblue" valign="top"><div class="content">10,851</div></td>
<td class="number lightblue" valign="top"><div class="content">8,776 </div></td>
<td class="number blue" valign="top"><div class="content">7,609</div></td>
<td class="number lightblue" valign="top"><div class="content">8,447</div></td>
<td class="number lightestblue" valign="top"><div class="content">9,712</div></td></tr>
<tr>
<td class="first label"><div class="content">Global growth rates:</div></td>
<td class="number white" valign="top"><div class="content"></div></td>
<td class="number white" valign="top"><div class="content"></div></td>
<td class="number white" valign="top"><div class="content"></div></td>
<td class="number white" valign="top"><div class="content"></div></td>
<td class="number white" valign="top"><div class="content"></div></td></tr>
<tr>
<td class="first label" valign="middle" align="right">BRICs (Brazil, Russia, India, China)</td>
<td class="number white" valign="top"><div class="content">1.13%</div></td>
<td class="number lightestblue" valign="top"><div class="content">0.64%</div></td>
<td class="number blue" valign="top"><div class="content">0.21%</div></td>
<td class="number lightblue" valign="top"><div class="content">0.35%</div></td>
<td class="number slashed slashed_last" valign="top"><div class="content">N/A</div></td></tr>
<tr>
<td class="first label" valign="middle" align="right"><div class="content">EU-4</div></td>
<td class="number white" valign="top"><div class="content">0.02%</div></td>
<td class="number lightestblue" valign="top"><div class="content">-0.38%</div></td>
<td class="number blue" valign="top"><div class="content">-1.46%</div></td>
<td class="number lightblue" valign="top"><div class="content">-1.30%</div></td>
<td class="number slashed slashed_last" valign="top"><div class="content">N/A</div></td></tr>
<tr>
<td class="first label" valign="middle" align="right"><div class="content">G-20</div></td>
<td class="number white" valign="top"><div class="content">1.37%</div></td>
<td class="number lightestblue" valign="top"><div class="content">-0.65%</div></td>
<td class="number blue" valign="top"><div class="content">-2.67%</div></td>
<td class="number lightblue" valign="top"><div class="content">-2.45%</div></td>
<td class="number slashed slashed_last" valign="top"><div class="content">N/A</div></td></tr>
<tr>
<td class="first label" valign="middle" align="right"><div class="content">EU-27</div></td>
<td class="number white" valign="top"><div class="content">-0.30%</div></td>
<td class="number lightestblue" valign="top"><div class="content">-0.48%</div></td>
<td class="number lightblue" valign="top"><div class="content">-1.57% </div></td>
<td class="number blue" valign="top"><div class="content">-1.69%</div></td>
<td class="number slashed slashed_last" valign="top"><div class="content">N/A</div></td></tr><!--<tr>
<td class="first label"><div class="content">World trade volume (seasonally adjusted, values US$2000) </div></td>
<td class="number white" valign="top"><div class="content">158.79</div></td>
<td class="number lightblue" valign="top"><div class="content">147.66 </div></td>
<td class="number blue" valign="top"><div class="content">131.90</div></td>
<td class="number blue" valign="top"><div class="content">130.67 </div></td>
<td class="number slashed slashed_last" valign="top"><div class="content">N/A</div></td></tr>
<tr>
<td class="first label"><div class="content">U.S. trade volume (seasonally adjusted, values US$2000) </div></td>
<td class="number white" valign="top"><div class="content">133.46</div></td>
<td class="number lightestblue" valign="top"><div class="content">126.63</div></td>
<td class="number lightblue" valign="top"><div class="content">109.76</div></td>
<td class="number blue" valign="top"><div class="content">105.25</div></td>
<td class="number slashed slashed_last" valign="top"><div class="content">N/A</div></td></tr>
-->
<tr>
<td class="first label"><div class="content">Total number of new trade barrier initiations worldwide (product based) </div></td>
<td class="number white" valign="top"><div class="content">26</div></td>
<td class="number lightestblue" valign="top"><div class="content">33</div></td>
<td class="number lightestblue" valign="top"><div class="content">33 </div></td>
<td class="number lightblue" valign="top"><div class="content">34</div></td>
<td class="number blue" valign="top"><div class="content">44</div></td></tr>
<tr>
<td class="first label"><div class="content">Number of new trade barrier initiations by the U.S. (product based) </div></td>
<td class="number lightestblue" valign="top"><div class="content">2</div></td>
<td class="number white" valign="top"><div class="content">1</div></td>
<td class="number white" valign="top"><div class="content">1</div></td>
<td class="number blue" valign="top"><div class="content">6</div></td>
<td class="number blue" valign="top"><div class="content">6</div></td></tr>
<tr class="last">
<td class="first label"><div class="content">U.S. net remittances (US$ billions) </div></td>
<td class="number white" valign="top"><div class="content">-9.4525</div></td>
<td class="number lightestblue" valign="top"><div class="content">-9.4667</div></td>
<td class="number lightblue" valign="top"><div class="content">-9.4763</div></td>
<td class="number blue" valign="top"><div class="content">-9.4850</div></td>
<td class="number slashed slashed_last" valign="top"><div class="content">N/A </div></td></tr></tbody></table><!-- Table 2 Begins Here--><h2>"Common Defense"</h2>
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="second person" valign="top"><div class="content"><p><b>2008 Q3</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2008 Q4</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q1</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q2</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q3</b></p></div></td></tr>
<tr>
<td class="first label"><div class="content">U.S. troop fatalities (both wars)</div></td>
<td class="number blue" valign="top"><div class="content">130</div></td>
<td class="number white" valign="top"><div class="content">65</div></td>
<td class="number lightestblue" valign="top"><div class="content">85</div></td>
<td class="number lightblue" valign="top"><div class="content">102</div></td>
<td class="number blue" valign="top"><div class="content">163</div></td></tr>
<tr>
<td class="first label"><div class="content">U.S. troops in Iraq (thousands)</div></td>
<td class="number white" valign="top"><div class="content">148</div></td>
<td class="number white" valign="top"><div class="content">145</div></td>
<td class="number white" valign="top"><div class="content">137</div></td>
<td class="number white" valign="top"><div class="content">130</div></td>
<td class="number white" valign="top"><div class="content">124</div></td></tr>
<tr>
<td class="first label"><div class="content">U.S. troops in Afghanistan (thousands)</div></td>
<td class="number white" valign="top"><div class="content">34</div></td>
<td class="number white" valign="top"><div class="content">36</div></td>
<td class="number white" valign="top"><div class="content">41</div></td>
<td class="number white" valign="top"><div class="content">56</div></td>
<td class="number white" valign="top"><div class="content">65</div></td></tr>
<tr>
<td class="first label"><div class="content">Non-U.S. troops in Afghanistan (thousands)</div></td>
<td class="number white" valign="top"><div class="content">30</div></td>
<td class="number white" valign="top"><div class="content">31</div></td>
<td class="number white" valign="top"><div class="content">32</div></td>
<td class="number white" valign="top"><div class="content">33</div></td>
<td class="number white" valign="top"><div class="content">36</div></td></tr>
<tr>
<td class="first label"><div class="content">Fatalities from terrorism, globally</div></td>
<td class="number lightblue" valign="top"><div class="content">3,792</div></td>
<td class="number blue" valign="top"><div class="content">4,015</div></td>
<td class="number lightestblue" valign="top"><div class="content">3,544</div></td>
<td class="number lightblue" valign="top"><div class="content">3,914</div></td>
<td class="number slashed slashed_last" valign="top"><div class="content">N/A</div></td></tr>
<tr>
<td class="first label"><div class="content">Percentage of Americans who believe the war in Afghanistan has been worth fighting</div></td>
<td class="number slashed" valign="top"><div class="content">51%</div></td>
<td class="number slashed" valign="top"><div class="content">55%</div></td>
<td class="number slashed" valign="top"><div class="content">56%</div></td>
<td class="number slashed" valign="top"><div class="content">51%</div></td>
<td class="number slashed" valign="top"><div class="content">47%</div></td></tr></tbody></table><!-- Table 3 Begins Here --><h2>"Blessings of Liberty"</h2>
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="second person" valign="top"><div class="content"><p><b>2008 Q3</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2008 Q4</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q1</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q2</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q3</b></p></div></td></tr>
<tr>
<td class="first label"><div class="content">Approval rating of the president</div></td>
<td class="number blue" valign="top"><div class="content">31%</div></td>
<td class="number blue" valign="top"><div class="content">28%</div></td>
<td class="number white" valign="top"><div class="content">63%</div></td>
<td class="number white" valign="top"><div class="content">62%</div></td>
<td class="number lightblue" valign="top"><div class="content">52%</div></td></tr>
<tr>
<td class="first label"><div class="content">Approval rating of Congress</div></td>
<td class="number blue" valign="top"><div class="content">16%</div></td>
<td class="number blue" valign="top"><div class="content">19%</div></td>
<td class="number lightblue" valign="top"><div class="content">30%</div></td>
<td class="number white" valign="top"><div class="content">35%</div></td>
<td class="number lightblue" valign="top"><div class="content">21%</div></td></tr>
<tr>
<td class="first label"><div class="content">"Satisfied with the way things are"</div></td>
<td class="number lightblue" valign="top"><div class="content">18%</div></td>
<td class="number blue" valign="top"><div class="content">11%</div></td>
<td class="number lightestblue" valign="top"><div class="content">20%</div></td>
<td class="number white" valign="top"><div class="content">32%</div></td>
<td class="number white" valign="top"><div class="content">26%</div></td></tr>
<tr>
<td class="first label"><div class="content">Approval rating of the president by independent voters</div></td>
<td class="number blue" valign="top"><div class="content">26%</div></td>
<td class="number blue" valign="top"><div class="content">23%</div></td>
<td class="number white" valign="top"><div class="content">61%</div></td>
<td class="number white" valign="top"><div class="content">60%</div></td>
<td class="number lightblue" valign="top"><div class="content">50%</div></td></tr>
<tr class="last">
<td class="first label"><div class="content">Gap between Republican and Democratic presidential approval ratings </div></td>
<td class="number lightblue" valign="top"><div class="content">64%</div></td>
<td class="number white" valign="top"><div class="content">57%</div></td>
<td class="number lightestblue" valign="top"><div class="content">60%</div></td>
<td class="number lightblue" valign="top"><div class="content">64%</div></td>
<td class="number blue" valign="top"><div class="content">66%</div></td></tr></tbody></table></div>
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    <a href="#sources">See data sources »</a> <br>  &lt;/not-mobile&gt;<br><br><p class="MsoNormal">About 8 million jobs have been lost to this recession — the largest decline in percent terms since the Great Depression. While the pace of job loss has recently moderated, the weak business outlook and still-tight financial conditions point to continued slack in labor demand. A weak labor market augurs weak income growth, which means we are unlikely to see sustained robust gains in consumer spending anytime soon. <br><br>Strong growth in consumer spending is possible if households are willing to spend more and save less out of the income they have. But with home prices and stock prices both down about 30 percent from their pre-recession peaks, personal saving has risen as people attempt to rebuild household assets. Greater saving will eventually put households in a more sustainable position, but will also slow the pace of recovery. <br><br>Housing prices have turned up in recent months, but it is unlikely that a rebound in home construction will lead the recovery. The inventory of unsold homes has fallen with the collapse in construction, but remains high by historical standards. The millions of homes in the foreclosure process raise the risk that distressed properties will flood the market in coming quarters. <br><br>Regional diversity reflects the different forces at play with regard to a broad recovery. While this recession represented a massive blow to the national economy, the <state></state><place></place>Washington area was only mildly hit. Its job losses and unemployment rate are well below national averages, and its gross domestic product has already recovered to pre-recession levels. Home prices fell substantially, but recent increases may signal that a turning point has been reached. <state></state><place></place>Washington has benefited from strong concentrations in industries whose declines were minimal, such as professional services, information, education and government. State capital regions such as <city></city>Madison, <state></state>Wis.; <city></city>Harrisburg, <state></state>Pa.; and <city></city>Jackson, <state></state>Miss. have also performed relatively well, but face a more uncertain outlook than <state></state><place></place>Washington due to potentially deep cuts ahead in state government spending. <br><br>By contrast, <city></city><place></place>Cleveland began to suffer well before the national economy. While employment there is down almost 6 percent from a year ago, the metro area has shed nearly 40 percent of its manufacturing jobs since 2000. The mortgage credit boom drove serious foreclosure problems in both the city and its suburbs. Now the region’s economic crisis may be further destabilizing housing prices, which, after showing signs of recovery earlier this year, flatlined in the past quarter. Like other manufacturing-dependent metro areas in Great Lakes states of <state></state>Ohio, <state></state>Michigan and <state></state>Indiana, it is unclear when, if ever, <city></city><place></place>Cleveland may recover fully to its pre-recession state. <br><br>Out West, the recession came a bit later to <city></city>Las Vegas, but its recent job losses have been even more severe than those in <city></city><place></place>Cleveland. That region’s overreliance on home building and rising home prices during the housing bubble ultimately battered its economy amid the subprime lending fallout and ensuing credit crisis. A plunge in consumer spending further damaged the metro area’s tourism and hospitality industries, which are critical to the local economy. While national home prices are showing signs of recovery, home prices in this area continue to fall. <city></city>Las Vegas and similarly structured housing and economic markets in inland <state></state>California and throughout <state></state><place></place>Florida will have to rethink their future growth path. <br><br>The nation’s largest metro area, around <state></state><place></place>New York, has performed relatively well. Despite Wall Street layoffs, job losses overall have been relatively modest, and home prices have begun to recover from declines early this year. The diversity of that region’s economy, together with the high education levels of its workers, leave New York and similar structured metro areas such as Boston and San Francisco better poised for recovery than those that had relied heavily on housing or manufacturing for growth. <br><br>Beyond the economy, the surge of public satisfaction with the president, with Congress and with “the way things are” recorded in the first half of the year has retreated. These indicators remain twice as high as a year ago, at the height of the crisis, but the noticeable decline in the president’s approval among independents, and the growing gap between how Republicans and Democrats view the presidency, are signs to watch. <br><br>The conflicts in <country-region></country-region>Iraq and <country-region></country-region><place></place>Afghanistan, with climbing fatalities, contribute to national unrest. Though troop levels have begun to decline in <country-region></country-region>Iraq, they have nearly doubled in <country-region></country-region><place></place>Afghanistan. As the country looks to the final quarter of the president’s first year in office, Americans seem to be asking not only “how are we doing” but also “where are we going?”<br><br><strong>See also:</strong> <br>» <a href="/governance/govwatch.aspx">GovWatch</a>—tracking the progress and performance of our institutions in economic recovery <br>» <a href="/metro/MetroMonitor.aspx">MetroMonitor</a>—a barometer of the health of America’s 100 largest metropolitan economies<br><br></p><a name="sources"><b><h2>Sources:</h2></b></a><p>U.S. Bureau of Economic Analysis, NIPA.  October, 2009.  <a href="http://www.bea.gov/National/nipaweb/index.asp">http://www.bea.gov/National/nipaweb/index.asp</a><br><br>U.S. Bureau of Labor Statistics, Current Population Survey Unemployment Data, October 2009.  <a href="http://www.bls.gov/cps/">http://www.bls.gov/cps/</a> <br><br>U.S. Bureau of Labor Statistics, Current Employment Statistics, State and Metro Area Employment.  October 2009.  <a title="http://www.bls.gov/sae/" href="http://www.bls.gov/sae/">http://www.bls.gov/sae/</a><br><br>S&amp;P/Case-Shiller Home Price Indices.  U.S. National Values.  October, 2009.  htttp://www.standardandpoors.com</p><p>Reuters/University of Michigan.  Archived at Federal Reserve Bank of St. Louis Economic Database (FRED).  October, 2009.  <a href="http://research.stlouisfed.org/fred2/">http://research.stlouisfed.org/fred2/</a> </p><p>Bureau of Labor Statistics, Consumer Price Index, All Urban Consumers, Seasonally Adjusted. October 2009.  <a href="http://www.bls.gov/CPI">http://www.bls.gov/CPI</a></p><p>Freddie Mac, Primary Mortgage Market Survey, "Monthly Average Commitment Rate and Points on 30-year Fixed Rate Mortgages since 1971."  October, 2009.  <a href="http://www.freddiemac.com/pmms/pmms30.htm">http://www.freddiemac.com/pmms/pmms30.htm</a></p><p>Mortgage Bankers Association.  Quarter 2, 2009 National Delinquency Survey.  June 30, 2009.</p><p>U.S. Census Bureau.  New Residential Sales.  New One Family Houses For Sale  Oct. 2009.  <a href="http://www.census.gov/const/www/newressalesindex.html">http://www.census.gov/const/www/newressalesindex.html</a> </p><p>Federal Reserve data comes from  Federal Reserve.  "Factors Affecting Bank Reserves and Condition Statement of F.R. Banks."  October, 2009.  H.4.1.<br>GDP comes from U.S. Bureau of Economic Analysis, NIPA Table 1.1.5.  October, 2009.  <a href="http://www.bea.gov/National/nipaweb/index.asp">http://www.bea.gov/National/nipaweb/index.asp</a> </p><p>Yahoo Finance.  DJIA Historical Prices.  October, 2009.  <a href="http://finance.yahoo.com/q/hp?s=%5EDJI">http://finance.yahoo.com/q/hp?s=%5EDJI</a> </p><p>U.S. Federal Reserve. H.15 Selected Interest Rates.  Historical Data.  October, 2009.  <a title="http://www.federalreserve.gov/Releases/h15/data.htm" href="http://www.federalreserve.gov/Releases/h15/data.htm">http://www.federalreserve.gov/Releases/h15/data.htm</a><br><br>Global growth rates: YE 2008 nominal GDP from IMF WEO database; EU-27 data from <a href="http://epp.eurostat.ec.europa.eu/portal/page/portal/euroindicators/peeis">http://epp.eurostat.ec.europa.eu/portal/page/portal/euroindicators/peeis</a>;quarterly growth rates from Economist Intelligence Unit database.</p><p>The CPB Netherlands Bureau for Economic Policy Analysis world-trade database, <a href="http://www.cpb.nl/eng/research/sector2/data/trademonitor.html">http://www.cpb.nl/eng/research/sector2/data/trademonitor.html</a> </p><p>Bown, Chad P. (2009) “Global Antidumping Database,” [Version 5.0, July], available at <a href="http://www.brandeis.edu/~cbown/global_ad/">www.brandeis.edu/~cbown/global_ad/</a> </p><p>Remittances: International Financial Statisitcs service of the International Monetary Fund, located at  <a href="http://www.imfstatistics.org/imf/">http://www.imfstatistics.org/imf/</a> </p><p>ABC News and the Washington Post Poll: Afghanistan. October 21, 2009 <a href="http://abcnews.go.com/images/PollingUnit/1095a3Afghanistan.pdf">http://abcnews.go.com/images/PollingUnit/1095a3Afghanistan.pdf</a> </p><p>National Counterterrorism Center, Worldwide Incidents Tracking System<br><a title="http://wits.nctc.gov/Main.do" href="http://wits.nctc.gov/Main.do">http://wits.nctc.gov/Main.do</a></p><p>The Gallup Organization. "Presidential Approval Ratings – Barack Obama." Retrieved 20 October 2009 from The Gallup Poll website. Web site: <a href="http://www.gallup.com/poll/116479/Barack-Obama-Presidential-Job-Approval.aspx">http://www.gallup.com/poll/116479/Barack-Obama-Presidential-Job-Approval.aspx</a> . </p><p>The Gallup Organization. "Congress and the Public." Retrieved 20 October 2009, from The Gallup Poll. Web site: <a href="http://www.gallup.com/poll/1600/Congress-Public.aspx">http://www.gallup.com/poll/1600/Congress-Public.aspx</a>  </p><p>The Gallup Organization. "Satisfaction with the United States." Retrieved 20 October 2009, from The Gallup Poll. Web site: <a href="http://www.gallup.com/poll/1669/General-Mood-Country.aspx">http://www.gallup.com/poll/1669/General-Mood-Country.aspx</a> </p></p><h4>
		Downloads
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		<li><a href="http://www.brookings.edu/~/media/research/files/papers/2009/11/15-recovery-renewal/how_were_doing_index.pdf">Download analysis and chart</a></li>
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		<h4>
			Authors
		</h4><ul>
			<li><a href="http://www.brookings.edu/experts/berubea?view=bio">Alan Berube</a></li><li><a href="http://www.brookings.edu/experts/dynank?view=bio">Karen Dynan</a></li><li><a href="http://www.brookings.edu/experts/gayert?view=bio">Ted Gayer</a></li>
		</ul>
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		Publication: The Brookings Institution and The Washington Post
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</description><pubDate>Sun, 15 Nov 2009 00:00:00 -0500</pubDate><dc:creator>Alan Berube, Karen Dynan and Ted Gayer</dc:creator><content:encoded><![CDATA[<div>
	<p><strong>Index #2:  Last Five Quarters</strong> 
<br>
<br><p>The economy’s expansion last quarter, for the first time in more than a year, has prompted much speculation that the recession is over. This turning point, however, simply marks an end to the decline in activity. The unemployment rate is at the highest level since the early 1980s, and full employment remains a long way off. Early this year a team of scholars at the Brookings Institution began tracking data to assess where the nation stands regarding the Constitution’s mandates that the government “provide for the common defense, promote the general welfare, and secure the blessings of liberty.” In this second “How We’re Doing” index, we examine the forces that stand in the way of a strong rebound. &lt;not-mobile message=""&gt;<a href="#story">Continue reading below chart »</a> &lt;/not-mobile&gt;
<br>
<br><b>Related Materials:</b> 
<br>» <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/multimedia/videos/2009/11/15-recovery-renewal" name="&lid={9B62A1B6-E485-4FAE-9F6B-2DD968FA64A1}&lpos=loc:body">Videos of Karen Dynan and Alan Berube discussing the new index
<br></a>» <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/papers/2009/0726_recovery_renewal.aspx">Index #1: Presidential first half-years</a> </p></p><p>&lt;not-mobile message="** To see the full indicator chart, please visit brookings.edu on your desktop **"&gt;
		<div class="interactive_table">
      <!-- Table 1 Begins Here -->
      <h2>"General Welfare"</h2>
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="second person" valign="top"><div class="content"><p><b>2008 Q3</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2008 Q4</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q1</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q2</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q3</b></p></div></td></tr>
<tr>
<td class="first label"><div class="content">Real GDP growth (annualized)</div></td>
<td class="number lightblue" valign="top"><div class="content">-2.7%</div></td>
<td class="number blue" valign="top"><div class="content">-5.4%</div></td>
<td class="number blue" valign="top"><div class="content">-6.4%</div></td>
<td class="number lightestblue" valign="top"><div class="content">-0.7%</div></td>
<td class="number white" valign="top"><div class="content">3.5%</div></td></tr>
<tr>
<td class="first label"><div class="content">National unemployment rate</div></td>
<td class="number white" valign="top"><div class="content">6.0%</div></td>
<td class="number lightestblue" valign="top"><div class="content">6.9%</div></td>
<td class="number lightblue" valign="top"><div class="content">8.1%</div></td>
<td class="number blue" valign="top"><div class="content">9.2%</div></td>
<td class="number blue" valign="top"><div class="content">9.6%</div></td></tr>
<tr>
<td class="first label"><div class="content">Change in payroll employment from one year prior:</div></td>
<td class="number white" valign="top"><div class="content"></div></td>
<td class="number white" valign="top"><div class="content"></div></td>
<td class="number white" valign="top"><div class="content"></div></td>
<td class="number white" valign="top"><div class="content"></div></td>
<td class="number white" valign="top"><div class="content"></div></td></tr>
<tr>
<td class="first label" valign="middle" align="right">Cleveland metro area</td>
<td class="number lightestblue" valign="top"><div class="content">-1.1%</div></td>
<td class="number lightblue" valign="top"><div class="content">-3.3%</div></td>
<td class="number lightblue" valign="top"><div class="content">-3.8%</div></td>
<td class="number blue" valign="top"><div class="content">-5.7%</div></td>
<td class="number blue" valign="top"><div class="content">-5.8%</div></td></tr>
<tr>
<td class="first label" valign="middle" align="right"><div class="content">Las Vegas metro area</div></td>
<td class="number white" valign="top"><div class="content">-1.5%</div></td>
<td class="number lightestblue" valign="top"><div class="content">-3.9%</div></td>
<td class="number lightblue" valign="top"><div class="content">-5.2%</div></td>
<td class="number blue" valign="top"><div class="content">-6.5%</div></td>
<td class="number blue" valign="top"><div class="content">-6.2%</div></td></tr>
<tr>
<td class="first label" valign="middle" align="right"><div class="content">New York metro area</div></td>
<td class="number white" valign="top"><div class="content">0.3%</div></td>
<td class="number lightestblue" valign="top"><div class="content">-1.7%</div></td>
<td class="number blue" valign="top"><div class="content">-2.5%</div></td>
<td class="number blue" valign="top"><div class="content">-2.6%</div></td>
<td class="number blue" valign="top"><div class="content">-2.5%</div></td></tr>
<tr>
<td class="first label" valign="middle" align="right"><div class="content">Washington, DC metro area</div></td>
<td class="number white" valign="top"><div class="content">0.6%</div></td>
<td class="number lightestblue" valign="top"><div class="content">-0.5%</div></td>
<td class="number lightblue" valign="top"><div class="content">-0.7%</div></td>
<td class="number blue" valign="top"><div class="content">-1.3%</div></td>
<td class="number blue" valign="top"><div class="content">-1.2%</div></td></tr>
<tr>
<td class="first label"><div class="content">Consumer sentiment index</div></td>
<td class="number lightestblue" valign="top"><div class="content">64.8</div></td>
<td class="number blue" valign="top"><div class="content">57.7</div></td>
<td class="number lightblue" valign="top"><div class="content">58.3</div></td>
<td class="number white" valign="top"><div class="content">68.2</div></td>
<td class="number white" valign="top"><div class="content">68.4</div></td></tr>
<tr>
<td class="first label"><div class="content">Real consumer spending growth (annualized)</div></td>
<td class="number blue" valign="top"><div class="content">-3.5%</div></td>
<td class="number blue" valign="top"><div class="content">-3.1%</div></td>
<td class="number lightestblue" valign="top"><div class="content">0.6%</div></td>
<td class="number lightblue" valign="top"><div class="content">-0.9%</div></td>
<td class="number white" valign="top"><div class="content">3.4%</div></td></tr>
<tr>
<td class="first label"><div class="content">Personal saving rate</div></td>
<td class="number blue" valign="top"><div class="content">2.2%</div></td>
<td class="number lightestblue" valign="top"><div class="content">3.8%</div></td>
<td class="number lightestblue" valign="top"><div class="content">3.7%</div></td>
<td class="number white" valign="top"><div class="content">4.9%</div></td>
<td class="number lightblue" valign="top"><div class="content">3.3%</div></td></tr>
<tr>
<td class="first label"><div class="content">Inflation rate (CPI-U, annualized)</div></td>
<td class="number blue" valign="top"><div class="content">6.2%</div></td>
<td class="number white" valign="top"><div class="content">-8.3%</div></td>
<td class="number white" valign="top"><div class="content">-2.4%</div></td>
<td class="number lightestblue" valign="top"><div class="content">1.3%</div></td>
<td class="number lightblue" valign="top"><div class="content">3.6%</div></td></tr>
<tr>
<td class="first label"><div class="content">Interest rate on 30-year fixed mortgage</div></td>
<td class="number blue" valign="top"><div class="content">6.32%</div></td>
<td class="number lightblue" valign="top"><div class="content">5.86%</div></td>
<td class="number white" valign="top"><div class="content">5.06%</div></td>
<td class="number white" valign="top"><div class="content">5.03%</div></td>
<td class="number lightestblue" valign="top"><div class="content">5.16%</div></td></tr>
<tr>
<td class="first label"><div class="content">Foreclosure start rate—all loans</div></td>
<td class="number white" valign="top"><div class="content">1.1%</div></td>
<td class="number white" valign="top"><div class="content">1.1%</div></td>
<td class="number blue" valign="top"><div class="content">1.4%</div></td>
<td class="number blue" valign="top"><div class="content">1.4%</div></td>
<td class="number slashed slashed_last" valign="top"><div class="content">N/A</div></td></tr>
<tr>
<td class="first label"><div class="content">Foreclosure start rate—prime loans</div></td>
<td class="number white" valign="top"><div class="content">0.6%</div></td>
<td class="number lightestblue" valign="top"><div class="content">0.7%</div></td>
<td class="number lightblue" valign="top"><div class="content">0.9%</div></td>
<td class="number blue" valign="top"><div class="content">1.0%</div></td>
<td class="number slashed slashed_last" valign="top"><div class="content">N/A</div></td></tr>
<tr>
<td class="first label"><div class="content">Foreclosure start rate—subprime Loans</div></td>
<td class="number white" valign="top"><div class="content">4.2%</div></td>
<td class="number lightblue" valign="top"><div class="content">4.0%</div></td>
<td class="number blue" valign="top"><div class="content">4.7%</div></td>
<td class="number white" valign="top"><div class="content">4.1%</div></td>
<td class="number slashed slashed_last" valign="top"><div class="content">N/A</div></td></tr>
<tr>
<td class="first label"><div class="content">Months' supply of new single-family homes (ratio of homes for sale to homes sold)</div></td>
<td class="number lightblue" valign="top"><div class="content">10.7</div></td>
<td class="number blue" valign="top"><div class="content">11.2</div></td>
<td class="number blue" valign="top"><div class="content">11.6</div></td>
<td class="number lightestblue" valign="top"><div class="content">9.4</div></td>
<td class="number white" valign="top"><div class="content">7.6</div></td></tr>
<tr>
<td class="first label"><div class="content">Change in home prices from last quarter:</div></td>
<td class="number white" valign="top"><div class="content"></div></td>
<td class="number white" valign="top"><div class="content"></div></td>
<td class="number white" valign="top"><div class="content"></div></td>
<td class="number white" valign="top"><div class="content"></div></td>
<td class="number white" valign="top"><div class="content"></div></td></tr>
<tr>
<td class="first label" valign="middle" align="right">National </td>
<td class="number lightblue" valign="top"><div class="content">-3.8%</div></td>
<td class="number blue" valign="top"><div class="content">-6.4%</div></td>
<td class="number blue" valign="top"><div class="content">-6.8%</div></td>
<td class="number white" valign="top"><div class="content">1.4%</div></td>
<td class="number slashed slashed_last" valign="top"><div class="content">N/A</div></td></tr>
<tr>
<td class="first label" valign="middle" align="right"><div class="content">Cleveland metro area </div></td>
<td class="number lightblue" valign="top"><div class="content">-0.6%</div></td>
<td class="number lightblue" valign="top"><div class="content">-2.6%</div></td>
<td class="number blue" valign="top"><div class="content">-6.2%</div></td>
<td class="number white" valign="top"><div class="content">6.8%</div></td>
<td class="number lightestblue" valign="top"><div class="content">0.0%</div></td></tr>
<tr>
<td class="first label" valign="middle" align="right"><div class="content">Las Vegas metro area </div></td>
<td class="number lightblue" valign="top"><div class="content">-8.8%</div></td>
<td class="number blue" valign="top"><div class="content">-9.2%</div></td>
<td class="number blue" valign="top"><div class="content">-10.5%</div></td>
<td class="number lightblue" valign="top"><div class="content">-8.8%</div></td>
<td class="number lightestblue" valign="top"><div class="content">-2.5%</div></td></tr>
<tr>
<td class="first label" valign="middle" align="right"><div class="content">New York metro area </div></td>
<td class="number lightestblue" valign="top"><div class="content">-1.8%</div></td>
<td class="number lightblue" valign="top"><div class="content">-4.2%</div></td>
<td class="number blue" valign="top"><div class="content">-4.9%</div></td>
<td class="number lightestblue" valign="top"><div class="content">-1.1%</div></td>
<td class="number white" valign="top"><div class="content">1.2%</div></td></tr>
<tr>
<td class="first label" valign="middle" align="right"><div class="content">Washington, DC metro area </div></td>
<td class="number lightestblue" valign="top"><div class="content">-4.1%</div></td>
<td class="number blue" valign="top"><div class="content">-6.1%</div></td>
<td class="number lightblue" valign="top"><div class="content">-4.8%</div></td>
<td class="number white" valign="top"><div class="content">2.2%</div></td>
<td class="number white" valign="top"><div class="content">2.8%</div></td></tr>
<tr>
<td class="first label"><div class="content">Federal Reserve balance sheet as a percentage of GDP (total factors supplying reserve funds as of end of quarter divided by annualized, seasonally adjusted GDP) </div></td>
<td class="number lightestblue" valign="top"><div class="content">8.58%</div></td>
<td class="number blue" valign="top"><div class="content">15.98%</div></td>
<td class="number lightblue" valign="top"><div class="content">14.86%</div></td>
<td class="number lightblue" valign="top"><div class="content">14.60%</div></td>
<td class="number blue" valign="top"><div class="content">15.26%</div></td></tr>
<tr>
<td class="first label"><div class="content">Yield on investment-grade corporate bonds (Moody's yield on seasoned corporate bonds—all industries, BAA) </div></td>
<td class="number white" valign="top"><div class="content">7.21%</div></td>
<td class="number white" valign="top"><div class="content">8.84%</div></td>
<td class="number white" valign="top"><div class="content">8.21%</div></td>
<td class="number white" valign="top"><div class="content">7.98%</div></td>
<td class="number white" valign="top"><div class="content">6.66%</div></td></tr>
<tr>
<td class="first label"><div class="content">Stock market—Dow Jones Industrial Average at end of quarter </div></td>
<td class="number lightestblue" valign="top"><div class="content">10,851</div></td>
<td class="number lightblue" valign="top"><div class="content">8,776 </div></td>
<td class="number blue" valign="top"><div class="content">7,609</div></td>
<td class="number lightblue" valign="top"><div class="content">8,447</div></td>
<td class="number lightestblue" valign="top"><div class="content">9,712</div></td></tr>
<tr>
<td class="first label"><div class="content">Global growth rates:</div></td>
<td class="number white" valign="top"><div class="content"></div></td>
<td class="number white" valign="top"><div class="content"></div></td>
<td class="number white" valign="top"><div class="content"></div></td>
<td class="number white" valign="top"><div class="content"></div></td>
<td class="number white" valign="top"><div class="content"></div></td></tr>
<tr>
<td class="first label" valign="middle" align="right">BRICs (Brazil, Russia, India, China)</td>
<td class="number white" valign="top"><div class="content">1.13%</div></td>
<td class="number lightestblue" valign="top"><div class="content">0.64%</div></td>
<td class="number blue" valign="top"><div class="content">0.21%</div></td>
<td class="number lightblue" valign="top"><div class="content">0.35%</div></td>
<td class="number slashed slashed_last" valign="top"><div class="content">N/A</div></td></tr>
<tr>
<td class="first label" valign="middle" align="right"><div class="content">EU-4</div></td>
<td class="number white" valign="top"><div class="content">0.02%</div></td>
<td class="number lightestblue" valign="top"><div class="content">-0.38%</div></td>
<td class="number blue" valign="top"><div class="content">-1.46%</div></td>
<td class="number lightblue" valign="top"><div class="content">-1.30%</div></td>
<td class="number slashed slashed_last" valign="top"><div class="content">N/A</div></td></tr>
<tr>
<td class="first label" valign="middle" align="right"><div class="content">G-20</div></td>
<td class="number white" valign="top"><div class="content">1.37%</div></td>
<td class="number lightestblue" valign="top"><div class="content">-0.65%</div></td>
<td class="number blue" valign="top"><div class="content">-2.67%</div></td>
<td class="number lightblue" valign="top"><div class="content">-2.45%</div></td>
<td class="number slashed slashed_last" valign="top"><div class="content">N/A</div></td></tr>
<tr>
<td class="first label" valign="middle" align="right"><div class="content">EU-27</div></td>
<td class="number white" valign="top"><div class="content">-0.30%</div></td>
<td class="number lightestblue" valign="top"><div class="content">-0.48%</div></td>
<td class="number lightblue" valign="top"><div class="content">-1.57% </div></td>
<td class="number blue" valign="top"><div class="content">-1.69%</div></td>
<td class="number slashed slashed_last" valign="top"><div class="content">N/A</div></td></tr><!--<tr>
<td class="first label"><div class="content">World trade volume (seasonally adjusted, values US$2000) </div></td>
<td class="number white" valign="top"><div class="content">158.79</div></td>
<td class="number lightblue" valign="top"><div class="content">147.66 </div></td>
<td class="number blue" valign="top"><div class="content">131.90</div></td>
<td class="number blue" valign="top"><div class="content">130.67 </div></td>
<td class="number slashed slashed_last" valign="top"><div class="content">N/A</div></td></tr>
<tr>
<td class="first label"><div class="content">U.S. trade volume (seasonally adjusted, values US$2000) </div></td>
<td class="number white" valign="top"><div class="content">133.46</div></td>
<td class="number lightestblue" valign="top"><div class="content">126.63</div></td>
<td class="number lightblue" valign="top"><div class="content">109.76</div></td>
<td class="number blue" valign="top"><div class="content">105.25</div></td>
<td class="number slashed slashed_last" valign="top"><div class="content">N/A</div></td></tr>
-->
<tr>
<td class="first label"><div class="content">Total number of new trade barrier initiations worldwide (product based) </div></td>
<td class="number white" valign="top"><div class="content">26</div></td>
<td class="number lightestblue" valign="top"><div class="content">33</div></td>
<td class="number lightestblue" valign="top"><div class="content">33 </div></td>
<td class="number lightblue" valign="top"><div class="content">34</div></td>
<td class="number blue" valign="top"><div class="content">44</div></td></tr>
<tr>
<td class="first label"><div class="content">Number of new trade barrier initiations by the U.S. (product based) </div></td>
<td class="number lightestblue" valign="top"><div class="content">2</div></td>
<td class="number white" valign="top"><div class="content">1</div></td>
<td class="number white" valign="top"><div class="content">1</div></td>
<td class="number blue" valign="top"><div class="content">6</div></td>
<td class="number blue" valign="top"><div class="content">6</div></td></tr>
<tr class="last">
<td class="first label"><div class="content">U.S. net remittances (US$ billions) </div></td>
<td class="number white" valign="top"><div class="content">-9.4525</div></td>
<td class="number lightestblue" valign="top"><div class="content">-9.4667</div></td>
<td class="number lightblue" valign="top"><div class="content">-9.4763</div></td>
<td class="number blue" valign="top"><div class="content">-9.4850</div></td>
<td class="number slashed slashed_last" valign="top"><div class="content">N/A </div></td></tr></tbody></table><!-- Table 2 Begins Here--><h2>"Common Defense"</h2>
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="second person" valign="top"><div class="content"><p><b>2008 Q3</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2008 Q4</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q1</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q2</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q3</b></p></div></td></tr>
<tr>
<td class="first label"><div class="content">U.S. troop fatalities (both wars)</div></td>
<td class="number blue" valign="top"><div class="content">130</div></td>
<td class="number white" valign="top"><div class="content">65</div></td>
<td class="number lightestblue" valign="top"><div class="content">85</div></td>
<td class="number lightblue" valign="top"><div class="content">102</div></td>
<td class="number blue" valign="top"><div class="content">163</div></td></tr>
<tr>
<td class="first label"><div class="content">U.S. troops in Iraq (thousands)</div></td>
<td class="number white" valign="top"><div class="content">148</div></td>
<td class="number white" valign="top"><div class="content">145</div></td>
<td class="number white" valign="top"><div class="content">137</div></td>
<td class="number white" valign="top"><div class="content">130</div></td>
<td class="number white" valign="top"><div class="content">124</div></td></tr>
<tr>
<td class="first label"><div class="content">U.S. troops in Afghanistan (thousands)</div></td>
<td class="number white" valign="top"><div class="content">34</div></td>
<td class="number white" valign="top"><div class="content">36</div></td>
<td class="number white" valign="top"><div class="content">41</div></td>
<td class="number white" valign="top"><div class="content">56</div></td>
<td class="number white" valign="top"><div class="content">65</div></td></tr>
<tr>
<td class="first label"><div class="content">Non-U.S. troops in Afghanistan (thousands)</div></td>
<td class="number white" valign="top"><div class="content">30</div></td>
<td class="number white" valign="top"><div class="content">31</div></td>
<td class="number white" valign="top"><div class="content">32</div></td>
<td class="number white" valign="top"><div class="content">33</div></td>
<td class="number white" valign="top"><div class="content">36</div></td></tr>
<tr>
<td class="first label"><div class="content">Fatalities from terrorism, globally</div></td>
<td class="number lightblue" valign="top"><div class="content">3,792</div></td>
<td class="number blue" valign="top"><div class="content">4,015</div></td>
<td class="number lightestblue" valign="top"><div class="content">3,544</div></td>
<td class="number lightblue" valign="top"><div class="content">3,914</div></td>
<td class="number slashed slashed_last" valign="top"><div class="content">N/A</div></td></tr>
<tr>
<td class="first label"><div class="content">Percentage of Americans who believe the war in Afghanistan has been worth fighting</div></td>
<td class="number slashed" valign="top"><div class="content">51%</div></td>
<td class="number slashed" valign="top"><div class="content">55%</div></td>
<td class="number slashed" valign="top"><div class="content">56%</div></td>
<td class="number slashed" valign="top"><div class="content">51%</div></td>
<td class="number slashed" valign="top"><div class="content">47%</div></td></tr></tbody></table><!-- Table 3 Begins Here --><h2>"Blessings of Liberty"</h2>
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"></td>
<td class="second person" valign="top"><div class="content"><p><b>2008 Q3</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2008 Q4</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q1</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q2</b></p></div></td>
<td class="person" valign="top"><div class="content"><p><b>2009 Q3</b></p></div></td></tr>
<tr>
<td class="first label"><div class="content">Approval rating of the president</div></td>
<td class="number blue" valign="top"><div class="content">31%</div></td>
<td class="number blue" valign="top"><div class="content">28%</div></td>
<td class="number white" valign="top"><div class="content">63%</div></td>
<td class="number white" valign="top"><div class="content">62%</div></td>
<td class="number lightblue" valign="top"><div class="content">52%</div></td></tr>
<tr>
<td class="first label"><div class="content">Approval rating of Congress</div></td>
<td class="number blue" valign="top"><div class="content">16%</div></td>
<td class="number blue" valign="top"><div class="content">19%</div></td>
<td class="number lightblue" valign="top"><div class="content">30%</div></td>
<td class="number white" valign="top"><div class="content">35%</div></td>
<td class="number lightblue" valign="top"><div class="content">21%</div></td></tr>
<tr>
<td class="first label"><div class="content">"Satisfied with the way things are"</div></td>
<td class="number lightblue" valign="top"><div class="content">18%</div></td>
<td class="number blue" valign="top"><div class="content">11%</div></td>
<td class="number lightestblue" valign="top"><div class="content">20%</div></td>
<td class="number white" valign="top"><div class="content">32%</div></td>
<td class="number white" valign="top"><div class="content">26%</div></td></tr>
<tr>
<td class="first label"><div class="content">Approval rating of the president by independent voters</div></td>
<td class="number blue" valign="top"><div class="content">26%</div></td>
<td class="number blue" valign="top"><div class="content">23%</div></td>
<td class="number white" valign="top"><div class="content">61%</div></td>
<td class="number white" valign="top"><div class="content">60%</div></td>
<td class="number lightblue" valign="top"><div class="content">50%</div></td></tr>
<tr class="last">
<td class="first label"><div class="content">Gap between Republican and Democratic presidential approval ratings </div></td>
<td class="number lightblue" valign="top"><div class="content">64%</div></td>
<td class="number white" valign="top"><div class="content">57%</div></td>
<td class="number lightestblue" valign="top"><div class="content">60%</div></td>
<td class="number lightblue" valign="top"><div class="content">64%</div></td>
<td class="number blue" valign="top"><div class="content">66%</div></td></tr></tbody></table></div>
    <p>
      <img alt="" src="http://www.brookings.edu/i/interactivetable/key.gif"> </p>
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    <a href="#sources">See data sources »</a> 
<br>  &lt;/not-mobile&gt;
<br>
<br><p class="MsoNormal">About 8 million jobs have been lost to this recession — the largest decline in percent terms since the Great Depression. While the pace of job loss has recently moderated, the weak business outlook and still-tight financial conditions point to continued slack in labor demand. A weak labor market augurs weak income growth, which means we are unlikely to see sustained robust gains in consumer spending anytime soon. 
<br>
<br>Strong growth in consumer spending is possible if households are willing to spend more and save less out of the income they have. But with home prices and stock prices both down about 30 percent from their pre-recession peaks, personal saving has risen as people attempt to rebuild household assets. Greater saving will eventually put households in a more sustainable position, but will also slow the pace of recovery. 
<br>
<br>Housing prices have turned up in recent months, but it is unlikely that a rebound in home construction will lead the recovery. The inventory of unsold homes has fallen with the collapse in construction, but remains high by historical standards. The millions of homes in the foreclosure process raise the risk that distressed properties will flood the market in coming quarters. 
<br>
<br>Regional diversity reflects the different forces at play with regard to a broad recovery. While this recession represented a massive blow to the national economy, the <state></state><place></place>Washington area was only mildly hit. Its job losses and unemployment rate are well below national averages, and its gross domestic product has already recovered to pre-recession levels. Home prices fell substantially, but recent increases may signal that a turning point has been reached. <state></state><place></place>Washington has benefited from strong concentrations in industries whose declines were minimal, such as professional services, information, education and government. State capital regions such as <city></city>Madison, <state></state>Wis.; <city></city>Harrisburg, <state></state>Pa.; and <city></city>Jackson, <state></state>Miss. have also performed relatively well, but face a more uncertain outlook than <state></state><place></place>Washington due to potentially deep cuts ahead in state government spending. 
<br>
<br>By contrast, <city></city><place></place>Cleveland began to suffer well before the national economy. While employment there is down almost 6 percent from a year ago, the metro area has shed nearly 40 percent of its manufacturing jobs since 2000. The mortgage credit boom drove serious foreclosure problems in both the city and its suburbs. Now the region’s economic crisis may be further destabilizing housing prices, which, after showing signs of recovery earlier this year, flatlined in the past quarter. Like other manufacturing-dependent metro areas in Great Lakes states of <state></state>Ohio, <state></state>Michigan and <state></state>Indiana, it is unclear when, if ever, <city></city><place></place>Cleveland may recover fully to its pre-recession state. 
<br>
<br>Out West, the recession came a bit later to <city></city>Las Vegas, but its recent job losses have been even more severe than those in <city></city><place></place>Cleveland. That region’s overreliance on home building and rising home prices during the housing bubble ultimately battered its economy amid the subprime lending fallout and ensuing credit crisis. A plunge in consumer spending further damaged the metro area’s tourism and hospitality industries, which are critical to the local economy. While national home prices are showing signs of recovery, home prices in this area continue to fall. <city></city>Las Vegas and similarly structured housing and economic markets in inland <state></state>California and throughout <state></state><place></place>Florida will have to rethink their future growth path. 
<br>
<br>The nation’s largest metro area, around <state></state><place></place>New York, has performed relatively well. Despite Wall Street layoffs, job losses overall have been relatively modest, and home prices have begun to recover from declines early this year. The diversity of that region’s economy, together with the high education levels of its workers, leave New York and similar structured metro areas such as Boston and San Francisco better poised for recovery than those that had relied heavily on housing or manufacturing for growth. 
<br>
<br>Beyond the economy, the surge of public satisfaction with the president, with Congress and with “the way things are” recorded in the first half of the year has retreated. These indicators remain twice as high as a year ago, at the height of the crisis, but the noticeable decline in the president’s approval among independents, and the growing gap between how Republicans and Democrats view the presidency, are signs to watch. 
<br>
<br>The conflicts in <country-region></country-region>Iraq and <country-region></country-region><place></place>Afghanistan, with climbing fatalities, contribute to national unrest. Though troop levels have begun to decline in <country-region></country-region>Iraq, they have nearly doubled in <country-region></country-region><place></place>Afghanistan. As the country looks to the final quarter of the president’s first year in office, Americans seem to be asking not only “how are we doing” but also “where are we going?”
<br>
<br><strong>See also:</strong> 
<br>» <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/governance/govwatch.aspx">GovWatch</a>—tracking the progress and performance of our institutions in economic recovery 
<br>» <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/metro/MetroMonitor.aspx">MetroMonitor</a>—a barometer of the health of America’s 100 largest metropolitan economies
<br>
<br></p><a name="sources"><b><h2>Sources:</h2></b></a><p>U.S. Bureau of Economic Analysis, NIPA.  October, 2009.  <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.bea.gov/National/nipaweb/index.asp">http://www.bea.gov/National/nipaweb/index.asp</a>
<br>
<br>U.S. Bureau of Labor Statistics, Current Population Survey Unemployment Data, October 2009.  <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.bls.gov/cps/">http://www.bls.gov/cps/</a> 
<br>
<br>U.S. Bureau of Labor Statistics, Current Employment Statistics, State and Metro Area Employment.  October 2009.  <a title="http://www.bls.gov/sae/" href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.bls.gov/sae/">http://www.bls.gov/sae/</a>
<br>
<br>S&amp;P/Case-Shiller Home Price Indices.  U.S. National Values.  October, 2009.  htttp://www.standardandpoors.com</p><p>Reuters/University of Michigan.  Archived at Federal Reserve Bank of St. Louis Economic Database (FRED).  October, 2009.  <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~research.stlouisfed.org/fred2/">http://research.stlouisfed.org/fred2/</a> </p><p>Bureau of Labor Statistics, Consumer Price Index, All Urban Consumers, Seasonally Adjusted. October 2009.  <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.bls.gov/CPI">http://www.bls.gov/CPI</a></p><p>Freddie Mac, Primary Mortgage Market Survey, "Monthly Average Commitment Rate and Points on 30-year Fixed Rate Mortgages since 1971."  October, 2009.  <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.freddiemac.com/pmms/pmms30.htm">http://www.freddiemac.com/pmms/pmms30.htm</a></p><p>Mortgage Bankers Association.  Quarter 2, 2009 National Delinquency Survey.  June 30, 2009.</p><p>U.S. Census Bureau.  New Residential Sales.  New One Family Houses For Sale  Oct. 2009.  <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.census.gov/const/www/newressalesindex.html">http://www.census.gov/const/www/newressalesindex.html</a> </p><p>Federal Reserve data comes from  Federal Reserve.  "Factors Affecting Bank Reserves and Condition Statement of F.R. Banks."  October, 2009.  H.4.1.
<br>GDP comes from U.S. Bureau of Economic Analysis, NIPA Table 1.1.5.  October, 2009.  <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.bea.gov/National/nipaweb/index.asp">http://www.bea.gov/National/nipaweb/index.asp</a> </p><p>Yahoo Finance.  DJIA Historical Prices.  October, 2009.  <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~finance.yahoo.com/q/hp?s=%5EDJI">http://finance.yahoo.com/q/hp?s=%5EDJI</a> </p><p>U.S. Federal Reserve. H.15 Selected Interest Rates.  Historical Data.  October, 2009.  <a title="http://www.federalreserve.gov/Releases/h15/data.htm" href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.federalreserve.gov/Releases/h15/data.htm">http://www.federalreserve.gov/Releases/h15/data.htm</a>
<br>
<br>Global growth rates: YE 2008 nominal GDP from IMF WEO database; EU-27 data from <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~epp.eurostat.ec.europa.eu/portal/page/portal/euroindicators/peeis">http://epp.eurostat.ec.europa.eu/portal/page/portal/euroindicators/peeis</a>;quarterly growth rates from Economist Intelligence Unit database.</p><p>The CPB Netherlands Bureau for Economic Policy Analysis world-trade database, <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.cpb.nl/eng/research/sector2/data/trademonitor.html">http://www.cpb.nl/eng/research/sector2/data/trademonitor.html</a> </p><p>Bown, Chad P. (2009) “Global Antidumping Database,” [Version 5.0, July], available at <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brandeis.edu/~cbown/global_ad/">www.brandeis.edu/~cbown/global_ad/</a> </p><p>Remittances: International Financial Statisitcs service of the International Monetary Fund, located at  <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.imfstatistics.org/imf/">http://www.imfstatistics.org/imf/</a> </p><p>ABC News and the Washington Post Poll: Afghanistan. October 21, 2009 <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~abcnews.go.com/images/PollingUnit/1095a3Afghanistan.pdf">http://abcnews.go.com/images/PollingUnit/1095a3Afghanistan.pdf</a> </p><p>National Counterterrorism Center, Worldwide Incidents Tracking System
<br><a title="http://wits.nctc.gov/Main.do" href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~wits.nctc.gov/Main.do">http://wits.nctc.gov/Main.do</a></p><p>The Gallup Organization. "Presidential Approval Ratings – Barack Obama." Retrieved 20 October 2009 from The Gallup Poll website. Web site: <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.gallup.com/poll/116479/Barack-Obama-Presidential-Job-Approval.aspx">http://www.gallup.com/poll/116479/Barack-Obama-Presidential-Job-Approval.aspx</a> . </p><p>The Gallup Organization. "Congress and the Public." Retrieved 20 October 2009, from The Gallup Poll. Web site: <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.gallup.com/poll/1600/Congress-Public.aspx">http://www.gallup.com/poll/1600/Congress-Public.aspx</a>  </p><p>The Gallup Organization. "Satisfaction with the United States." Retrieved 20 October 2009, from The Gallup Poll. Web site: <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.gallup.com/poll/1669/General-Mood-Country.aspx">http://www.gallup.com/poll/1669/General-Mood-Country.aspx</a> </p></p><h4>
		Downloads
	</h4><ul>
		<li><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/~/media/research/files/papers/2009/11/15-recovery-renewal/how_were_doing_index.pdf">Download analysis and chart</a></li>
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		<h4>
			Authors
		</h4><ul>
			<li><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/experts/berubea?view=bio">Alan Berube</a></li><li><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/experts/dynank?view=bio">Karen Dynan</a></li><li><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/experts/gayert?view=bio">Ted Gayer</a></li>
		</ul>
	</div><div>
		Publication: The Brookings Institution and The Washington Post
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<feedburner:origLink>http://www.brookings.edu/research/papers/2009/07/26-recovery-renewal?rssid=How+Were+Doing</feedburner:origLink><guid isPermaLink="false">{2F1CB453-EE44-4AC6-ACF0-815C5D342DC3}</guid><link>http://webfeeds.brookings.edu/~/65487242/0/brookingsrss/series/howweredoing~How-Were-Doing-A-Composite-Index-of-Global-and-National-Trends</link><title>How We're Doing: A Composite Index of Global and National Trends</title><description><![CDATA[<div>
	<p><b>Index #1: Presidential first half-years </b> <br><br>As the Obama administration completes its first six months in office, a team of Brookings scholars is tracking data for various dimensions of national and international well-being. This first “How We’re Doing” Index serves two purposes: it compares the state of the nation and the world with conditions that prevailed at about the same time in the last five presidents, and it establishes a baseline for future indexes. Our starting point is the American Constitution’s mandate that the government “provide for the common defense, promote the general welfare, and secure the blessings of liberty.” &lt;not-mobile message=""&gt;<a href="#story">Continue reading below chart »</a> &lt;/not-mobile&gt;<br><br><b>See also:</b> <br>» <a href="/governance/govwatch.aspx">GovWatch</a>—tracking the progress and performance of our institutions in economic recovery <br>» <a href="/metro/MetroMonitor.aspx">MetroMonitor</a>—a barometer of the health of America’s 100 largest metropolitan economies<br>» <a href="/multimedia/video/2009/0727_index_west.aspx">Darrell West discussing</a> how President Obama compares to the prior five presidents </p><p>&lt;not-mobile message="** To see the full indicator chart, please visit brookings.edu on your desktop **"&gt; <div class="interactive_table"><h2>"Common Defense"</h2>
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"> </td>
<td class="second person" valign="top"><div class="content"><img alt="" src="/i/interactivetable/carter.jpg"> <p><b>Jimmy Carter</b> (1977)</p></div></td>
<td class="person" valign="top"><div class="content"><img alt="" src="/i/interactivetable/reagan.jpg"> <p><b>Ronald Reagan</b> (1981)</p></div></td>
<td class="person" valign="top"><div class="content"><img alt="" src="/i/interactivetable/ghwbush.jpg"> <p><b>George HW Bush</b> (1989)</p></div></td>
<td class="person" valign="top"><div class="content"><img alt="" src="/i/interactivetable/clinton.jpg"> <p><b>Bill Clinton</b> (1993)</p></div></td>
<td class="person" valign="top"><div class="content"><img alt="" src="/i/interactivetable/gwbush.jpg"> <p><b>George W. Bush</b> (2001)</p></div></td>
<td class="person" valign="top"><div class="content"><img alt="" src="/i/interactivetable/obama.jpg"> <p><b>Barack Obama</b> (2009)</p></div></td></tr>
<tr>
<td class="first label"><div class="content">U.S. defense budget (billions of constant fiscal 2009 dollars) </div></td>
<td class="number slashed" valign="top"><div class="content">$383 </div></td>
<td class="number slashed" valign="top"><div class="content">$428 </div></td>
<td class="number slashed" valign="top"><div class="content">$502 </div></td>
<td class="number slashed" valign="top"><div class="content">$416 </div></td>
<td class="number slashed" valign="top"><div class="content">$395 </div></td>
<td class="number slashed slashed_last" valign="top"><div class="content">$697 </div></td></tr>
<tr>
<td class="first label"><div class="content">Number of U.S. military personnel stationed abroad</div></td>
<td class="number slashed" valign="top"><div class="content">459,000 </div></td>
<td class="number slashed" valign="top"><div class="content">502,000 </div></td>
<td class="number slashed" valign="top"><div class="content">510,000 </div></td>
<td class="number slashed" valign="top"><div class="content">308,000 </div></td>
<td class="number slashed" valign="top"><div class="content">255,000 </div></td>
<td class="number slashed slashed_last" valign="top"><div class="content">476,000 </div></td></tr>
<tr>
<td class="first label"><div class="content">U.S. defense budget as a percentage of GDP </div></td>
<td class="number lightblue" valign="top"><div class="content">4.8% </div></td>
<td class="number blue" valign="top"><div class="content">5.7%</div></td>
<td class="number blue" valign="top"><div class="content">5.5%</div></td>
<td class="number lightblue" valign="top"><div class="content">4.2%</div></td>
<td class="number white" valign="top"><div class="content">2.9%</div></td>
<td class="number lightblue lightblue_last" valign="top"><div class="content">4.2%</div></td></tr>
<tr>
<td class="first label"><div class="content">Number of U.S. military combat fatalities</div></td>
<td class="number white" valign="top"><div class="content">0 </div></td>
<td class="number white" valign="top"><div class="content">0 </div></td>
<td class="number lightblue" valign="top"><div class="content">23 </div></td>
<td class="number lightblue" valign="top"><div class="content">29 </div></td>
<td class="number lightestblue" valign="top"><div class="content">3 </div></td>
<td class="number blue blue_last" valign="top"><div class="content">212 </div></td></tr>
<tr>
<td class="first label"><div class="content">Number of nations that have tested a nuclear weapon </div></td>
<td class="number lightestblue" valign="top"><div class="content">5 </div></td>
<td class="number lightestblue" valign="top"><div class="content">5 </div></td>
<td class="number lightestblue" valign="top"><div class="content">5 </div></td>
<td class="number lightestblue" valign="top"><div class="content">5 </div></td>
<td class="number lightblue" valign="top"><div class="content">7 </div></td>
<td class="number blue blue_last" valign="top"><div class="content">8 </div></td></tr>
<tr>
<td class="first label"><div class="content">Armed conflicts worldwide </div></td>
<td class="number white" valign="top"><div class="content">23 </div></td>
<td class="number lightblue" valign="top"><div class="content">30 </div></td>
<td class="number blue" valign="top"><div class="content">34 </div></td>
<td class="number blue" valign="top"><div class="content">32 </div></td>
<td class="number lightblue" valign="top"><div class="content">28 </div></td>
<td class="number lightestblue lightestblue_last" valign="top"><div class="content">26 </div></td></tr>
<tr>
<td class="first label"><div class="content">Civilian casualties due to armed conflicts worldwide </div></td>
<td class="number lightblue" valign="top"><div class="content">64,000 </div></td>
<td class="number blue" valign="top"><div class="content">207,000 </div></td>
<td class="number lightblue" valign="top"><div class="content">97,000 </div></td>
<td class="number lightblue" valign="top"><div class="content">103,000 </div></td>
<td class="number lightestblue" valign="top"><div class="content">42,000 </div></td>
<td class="number white" valign="top"><div class="content">25,000 </div></td></tr>
<tr>
<td class="first label"><div class="content">World population (in millions) </div></td>
<td class="number lightestblue" valign="top"><div class="content">4,134 </div></td>
<td class="number lightestblue" valign="top"><div class="content">4,438 </div></td>
<td class="number lightblue" valign="top"><div class="content">5,108 </div></td>
<td class="number lightblue" valign="top"><div class="content">5,456 </div></td>
<td class="number blue" valign="top"><div class="content">6,115 </div></td>
<td class="number blue blue_last" valign="top"><div class="content">6,747 </div></td></tr>
<tr>
<td class="first label"><div class="content">Share of global population living on less then $1 a day </div></td>
<td class="number slashed" valign="top"><div class="content">NA </div></td>
<td class="number blue" valign="top"><div class="content">41.4% </div></td>
<td class="number lightblue" valign="top"><div class="content">29.8% </div></td>
<td class="number lightblue" valign="top"><div class="content">27.0% </div></td>
<td class="number lightestblue" valign="top"><div class="content">20.3% </div></td>
<td class="number white" valign="top"><div class="content">16.1% </div></td></tr>
<tr class="last">
<td class="first label"><div class="content">Greenhouse gas concentrations in atmosphere (CO2 and equivalents; 470 parts per million is considered dangerous) </div></td>
<td class="number white" valign="top"><div class="content">361 </div></td>
<td class="number white" valign="top"><div class="content">375 </div></td>
<td class="number lightestblue" valign="top"><div class="content">392 </div></td>
<td class="number lightestblue" valign="top"><div class="content">400 </div></td>
<td class="number lightblue" valign="top"><div class="content">420 </div></td>
<td class="number blue blue_last" valign="top"><div class="content">439 </div></td></tr></tbody></table><h2>"General Welfare"</h2>
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"> </td>
<td class="second person" valign="top"><div class="content"><p><b>Jimmy Carter</b> (1977)</p></div></td>
<td class="person" valign="top"><div class="content"><p><b>Ronald Reagan</b> (1981)</p></div></td>
<td class="person" valign="top"><div class="content"><p><b>George HW Bush</b> (1989)</p></div></td>
<td class="person" valign="top"><div class="content"><p><b>Bill Clinton</b> (1993)</p></div></td>
<td class="person" valign="top"><div class="content"><p><b>George W. Bush</b> (2001)</p></div></td>
<td class="person" valign="top"><div class="content"><p><b>Barack Obama</b> (2009)</p></div></td></tr>
<tr>
<td class="first label"><div class="content">Real GDP growth (annualized for first quarter of presidency)</div></td>
<td class="number white" valign="top"><div class="content">4.9% </div></td>
<td class="number white" valign="top"><div class="content">8.4% </div></td>
<td class="number white" valign="top"><div class="content">4.1% </div></td>
<td class="number lightblue" valign="top"><div class="content">0.5% </div></td>
<td class="number lightblue" valign="top"><div class="content">-0.5% </div></td>
<td class="number blue blue_last" valign="top"><div class="content">-5.5% </div></td></tr>
<tr>
<td class="first label"><div class="content">Unemployment rate </div></td>
<td class="number lightblue" valign="top"><div class="content">7.2% </div></td>
<td class="number lightblue" valign="top"><div class="content">7.5% </div></td>
<td class="number lightestblue" valign="top"><div class="content">5.3% </div></td>
<td class="number lightblue" valign="top"><div class="content">7.0% </div></td>
<td class="number white" valign="top"><div class="content">4.5% </div></td>
<td class="number blue blue_last" valign="top"><div class="content">9.5% </div></td></tr>
<tr>
<td class="first label"><div class="content">Consumer confidence (Conference Board consumer confidence index in June)</div></td>
<td class="number lightestblue" valign="top"><div class="content">98.2 </div></td>
<td class="number lightestblue" valign="top"><div class="content">83.0 </div></td>
<td class="number white" valign="top"><div class="content">117.2 </div></td>
<td class="number lightblue" valign="top"><div class="content">58.6 </div></td>
<td class="number white" valign="top"><div class="content">118.9 </div></td>
<td class="number blue blue_last" valign="top"><div class="content">49.3 </div></td></tr>
<tr>
<td class="first label"><div class="content">Inflation (six-month change in Consumer Price Index, annualized) </div></td>
<td class="number blue" valign="top"><div class="content">7.3% </div></td>
<td class="number blue" valign="top"><div class="content">9.7% </div></td>
<td class="number lightblue" valign="top"><div class="content">5.7% </div></td>
<td class="number white" valign="top"><div class="content">2.8% </div></td>
<td class="number lightestblue" valign="top"><div class="content">3.6% </div></td>
<td class="number white" valign="top"><div class="content">2.7% </div></td></tr>
<tr>
<td class="first label"><div class="content">Interest rate on 30-year fixed mortgage </div></td>
<td class="number lightestblue" valign="top"><div class="content">8.86% </div></td>
<td class="number blue" valign="top"><div class="content">16.70%</div></td>
<td class="number lightblue" valign="top"><div class="content">10.20% </div></td>
<td class="number lightestblue" valign="top"><div class="content">7.42% </div></td>
<td class="number lightestblue" valign="top"><div class="content">7.16% </div></td>
<td class="number white" valign="top"><div class="content">5.42% </div></td></tr>
<tr>
<td class="first label"><div class="content">Public debt as a percentage of GDP </div></td>
<td class="number white" valign="top"><div class="content">27.8%</div></td>
<td class="number white" valign="top"><div class="content">25.8%</div></td>
<td class="number lightblue" valign="top"><div class="content">40.6%</div></td>
<td class="number lightblue" valign="top"><div class="content">49.4%</div></td>
<td class="number lightestblue" valign="top"><div class="content">33.0%</div></td>
<td class="number blue blue_last" valign="top"><div class="content">54.8%</div></td></tr>
<tr>
<td class="first label"><div class="content">Oil imports (as a percentage of U.S. oil consumption) </div></td>
<td class="number white" valign="top"><div class="content">48.0%</div></td>
<td class="number white" valign="top"><div class="content">46.2%</div></td>
<td class="number lightestblue" valign="top"><div class="content">50.3%</div></td>
<td class="number lightestblue" valign="top"><div class="content">55.9% </div></td>
<td class="number lightblue" valign="top"><div class="content">70.6%</div></td>
<td class="number blue blue_last" valign="top"><div class="content">78.4%</div></td></tr>
<tr>
<td class="first label"><div class="content">Percentage of large metropolitan areas with employment declines </div></td>
<td class="number white" valign="top"><div class="content">11%</div></td>
<td class="number lightestblue" valign="top"><div class="content">20%</div></td>
<td class="number white" valign="top"><div class="content">7%</div></td>
<td class="number white" valign="top"><div class="content">13%</div></td>
<td class="number lightblue" valign="top"><div class="content">37%</div></td>
<td class="number blue blue_last" valign="top"><div class="content">97%</div></td></tr>
<tr>
<td class="first label"><div class="content">Percent of large metro areas with house price declines </div></td>
<td class="number slashed" valign="top"><div class="content">NA </div></td>
<td class="number blue" valign="top"><div class="content">78%</div></td>
<td class="number lightestblue" valign="top"><div class="content">59%</div></td>
<td class="number lightblue" valign="top"><div class="content">69%</div></td>
<td class="number white" valign="top"><div class="content">1%</div></td>
<td class="number lightestblue lightestblue_last" valign="top"><div class="content">61%</div></td></tr>
<tr>
<td class="first label"><div class="content">Federal Reserve balance sheet as a percentage of GDP </div></td>
<td class="number lightblue" valign="top"><div class="content">7.04%</div></td>
<td class="number white" valign="top"><div class="content">5.69%</div></td>
<td class="number white" valign="top"><div class="content">5.69%</div></td>
<td class="number lightestblue" valign="top"><div class="content">6.20%</div></td>
<td class="number lightestblue" valign="top"><div class="content">6.29%</div></td>
<td class="number blue blue_last" valign="top"><div class="content">14.51%</div></td></tr>
<tr>
<td class="first label"><div class="content">Personal savings rate </div></td>
<td class="number white" valign="top"><div class="content">8.0%</div></td>
<td class="number white" valign="top"><div class="content">9.8% </div></td>
<td class="number white" valign="top"><div class="content">7.9% </div></td>
<td class="number lightestblue" valign="top"><div class="content">5.7% </div></td>
<td class="number blue" valign="top"><div class="content">1.9% </div></td>
<td class="number lightblue lightblue_last" valign="top"><div class="content">4.3% </div></td></tr>
<tr>
<td class="first label"><div class="content">Life expectancy for people born in year of election</div></td>
<td class="number white" valign="top"><div class="content">72.6</div></td>
<td class="number white" valign="top"><div class="content">73.7</div></td>
<td class="number lightestblue" valign="top"><div class="content">74.9</div></td>
<td class="number lightblue" valign="top"><div class="content">75.8</div></td>
<td class="number blue" valign="top"><div class="content">77.0</div></td>
<td class="number blue blue_last" valign="top"><div class="content">77.8 (est.)</div></td></tr>
<tr class="last">
<td class="first label"><div class="content">Percentage of non-elderly Americans lacking health insurance in year of election</div></td>
<td class="number lightestblue" valign="top"><div class="content">14.1%</div></td>
<td class="number white" valign="top"><div class="content">12.0%</div></td>
<td class="number lightblue" valign="top"><div class="content">15.6%</div></td>
<td class="number blue" valign="top"><div class="content">16.8%</div></td>
<td class="number blue" valign="top"><div class="content">16.8%</div></td>
<td class="number blue blue_last" valign="top"><div class="content">16.6%</div></td></tr></tbody></table><h2>"Blessings of Liberty"</h2>
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"> </td>
<td class="second person" valign="top"><div class="content"><p><b>Jimmy Carter</b> (1977)</p></div></td>
<td class="person" valign="top"><div class="content"><p><b>Ronald Reagan</b> (1981)</p></div></td>
<td class="person" valign="top"><div class="content"><p><b>George HW Bush</b> (1989)</p></div></td>
<td class="person" valign="top"><div class="content"><p><b>Bill Clinton</b> (1993)</p></div></td>
<td class="person" valign="top"><div class="content"><p><b>George W. Bush</b> (2001)</p></div></td>
<td class="person" valign="top"><div class="content"><p><b>Barack Obama</b> (2009)</p></div></td></tr>
<tr>
<td class="first label"><div class="content">Approval rating of the president, as of July 15 </div></td>
<td class="number white" valign="top"><div class="content">62% </div></td>
<td class="number white" valign="top"><div class="content">60% </div></td>
<td class="number lightblue" valign="top"><div class="content">49% </div></td>
<td class="number blue" valign="top"><div class="content">45% </div></td>
<td class="number lightestblue" valign="top"><div class="content">57% </div></td>
<td class="number white" valign="top"><div class="content">60% </div></td></tr>
<tr>
<td class="first label"><div class="content">Approval rating of Congress, as of July 15</div></td>
<td class="number lightblue" valign="top"><div class="content">34% </div></td>
<td class="number lightblue" valign="top"><div class="content">38% </div></td>
<td class="number blue" valign="top"><div class="content">28% </div></td>
<td class="number blue" valign="top"><div class="content">24% </div></td>
<td class="number lightestblue" valign="top"><div class="content">49% </div></td>
<td class="number lightblue lightblue_last" valign="top"><div class="content">33% </div></td></tr>
<tr>
<td class="first label"><div class="content">"Satisfied with the way things are," as of July 15 </div></td>
<td class="number slashed" valign="top"><div class="content">NA </div></td>
<td class="number lightblue" valign="top"><div class="content">33% </div></td>
<td class="number lightestblue" valign="top"><div class="content">44% </div></td>
<td class="number blue" valign="top"><div class="content">24% </div></td>
<td class="number white" valign="top"><div class="content">51% </div></td>
<td class="number lightblue lightblue_last" valign="top"><div class="content">31% </div></td></tr>
<tr>
<td class="first label"><div class="content">Satisfaction improvement over six months </div></td>
<td class="number slashed" valign="top"><div class="content">NA </div></td>
<td class="number white" valign="top"><div class="content">+16% </div></td>
<td class="number lightestblue" valign="top"><div class="content">-1% </div></td>
<td class="number blue" valign="top"><div class="content">-5% </div></td>
<td class="number blue" valign="top"><div class="content">-5% </div></td>
<td class="number white" valign="top"><div class="content">+14% </div></td></tr>
<tr>
<td class="first label"><div class="content">Approval rating of the president by independent voters, as of July 15 </div></td>
<td class="number white" valign="top"><div class="content">59% </div></td>
<td class="number white" valign="top"><div class="content">60% </div></td>
<td class="number lightblue" valign="top"><div class="content">48% </div></td>
<td class="number blue" valign="top"><div class="content">41% </div></td>
<td class="number lightestblue" valign="top"><div class="content">52% </div></td>
<td class="number lightestblue lightestblue_last" valign="top"><div class="content">54% </div></td></tr>
<tr class="last">
<td class="first label"><div class="content">Gap between Republican and Democratic presidential approval ratings </div></td>
<td class="number white" valign="top"><div class="content">30 </div></td>
<td class="number lightestblue" valign="top"><div class="content">44</div></td>
<td class="number lightblue" valign="top"><div class="content">50</div></td>
<td class="number blue" valign="top"><div class="content">58</div></td>
<td class="number blue" valign="top"><div class="content">59</div></td>
<td class="number blue blue_last" valign="top"><div class="content">65 </div></td></tr></tbody></table><p><img alt="" src="/i/interactivetable/key.gif"></p></div><!-- ============================== --><!-- ============================== --><!-- NARRATIVE CONTENT RESUMES HERE --><!-- ============================== --><!-- ============================== --><!-- ============================== --><a name="story"></a><a href="#sources">See data sources »</a> <br>&lt;/not-mobile&gt;<br><br>In dealing with a complex world, Obama inherited—but now owns—wars in Iraq and Afghanistan. During his first six months, the U.S. has suffered more combat casualties than his five predecessors at the outset of their terms. The armed services also have grown considerably in cost, eating into the post-Cold War “peace dividend.” Still, there is no rival superpower; none of the major nations are at war or on the brink of war with each other; and the world as a whole is afflicted by fewer armed conflicts than in the recent past, with fewer civilian casualties. <br><br>However, the nuclear nonproliferation regime—anchored by the 1968 Non-Proliferation Treaty—is weakening. India, Pakistan, and North Korea have tested the Bomb; Israel is presumed to have it as well; Iran’s ambitions are one of the world’s worst kept—and most dangerous—secrets; and other countries, including U.S. allies, are reconsidering their non-nuclear status. On top of all that, “loose nukes” could end up in the hands of non-state actors like al-Qaeda. <br><br>Peace and security depends not just on common defense but on the political and economic stability of individual countries. Conversely, abject poverty is a security challenge as well as a humanitarian one. There has been progress on that front. Despite steady growth in the world’s population, the number and percentage of desperately poor people have declined dramatically, especially in China and India. Yet the economic crisis jeopardizes that favorable trend. <br><br>Then there is the ultimate mega-threat of climate change: the concentration of greenhouse gases is creeping upward toward a level that scientists believe will cause the increase in the mean temperature of the planet to trigger a perfect storm of irreversible and catastrophic consequences unless somehow checked or countered. <br><br>America’s ability to lead in addressing this daunting global agenda depends on a strong U.S. economy. Like Obama, earlier presidents were handicapped in that regard at the outset of their terms: Jimmy Carter, Ronald Reagan and Bill Clinton faced high unemployment; Carter, Reagan and Bush41 were confronted with high inflation and interest rates; Clinton had to cope with anemic growth and a staggering debt burden; Bush43 took office amidst a recession brought on by the bursting of the dot-com bubble. <br><br>Barack Obama can take comfort from low inflation, and low interest rates. Still, his task is unprecedented. The fall-off in productive output, spending, and employment is the worst – by far – since the Depression. Most experts believe the unemployment rate will continue to rise for the rest 2009. Unlike previous recent downturns, virtually no region of the U.S. has avoided job losses. Nearly all American homeowners have experienced significant declines in the value of their homes. Public debt as a percentage of GDP has now exceeded even Reagan-era levels, thanks to recent years of high debt and the massive spending of the stimulus package. The prospect of future deficits looms large, as does the cost of the Federal Reserve’s “pump-priming” which has put nearly three times as much cash into the economy as at any point in the last four decades. Paradoxically, excessive borrowing and spending caused the crisis, but that crisis has led Americans to start saving. Policymakers now believe that the best way out of the crisis is for citizens to borrow and spend again. <br><br>Confronted with such ironies, dilemmas, and stresses, how does the public feel its government is doing? Remarkably, so far, so good. Obama’s first six-month job approval numbers are impressive. But he should note that several of predecessors also got the benefit of the doubt—for a while. Moreover, the country remains deeply polarized, and public confidence in Congress—Obama’s same-party partner in governing—is at an all time low. Republican opponents and Democratic skeptics can be counted on to jump on evidence, real or perceived, of government waste, fraud, abuse and stupidity – from banker bonuses to pork-barrel stimulus projects to error-filled tax returns by administration nominees. <br><br>The President’s initial accomplishment has been to reestablish public trust and optimism in the U.S. For the first time in six years, there is positive turnaround in the percentage of Americans who think the country is headed in the right direction. That line-item in the Index—the most subjective but among the most important—marks a turnaround that is nearly as high as what Ronald Reagan was able to effect in his first half-year. Obama’s ability to sustain that optimism and trust will depend on his ability to nudge the more objective indicators in the right direction.<br><br><i>The index premiered in the </i>Washington Post<i>'s Sunday Opinion page.</i><br><!-- ============================== --><!-- ============================== --><!-- END NARRATIVE CONTENT ======== --><!-- ============================== --><!-- ============================== --><!-- ============================== --><hr><!-- ============================== --><!-- ============================== --><!-- SOURCES BEGIN HERE =========== --><!-- ============================== --><!-- ============================== --><!-- ============================== --><a name="sources"></a><p><b>Sources:</b></p><p><p>U.S Department of Defense, “National Defense Budget Estimates for FY 2009”, updated September 2009. <br><a href="http://www.defenselink.mil/comptroller/defbudget/fy2009/FY09Greenbook/greenbook_2009_updated.pdf">http://www.defenselink.mil/comptroller/defbudget/fy2009/FY09Greenbook/greenbook_2009_updated.pdf</a><i><u></u></i></p><p><i><u></u></i></p><p>Office of Management and Budget, “A New Era of Responsibility: Renewing America’s Promise”, (U.S. Government Printing Office, 2009) <a href="http://www.whitehouse.gov/omb/assets/fy2010_new_era/a_new_era_of_responsibility2.pdf">http://www.whitehouse.gov/omb/assets/fy2010_new_era/a_new_era_of_responsibility2.pdf </a></p><p><p>Iraq Coalition Casualty Count<br><a href="http://icasualties.org/">http://icasualties.org</a> </p><p><p>U.S. Department of Defense Personnel and Procurement Statistics<br><a href="http://siadapp.dmdc.osd.mil/personnel/MILITARY/Miltop.htm">http://siadapp.dmdc.osd.mil/personnel/MILITARY/Miltop.htm</a> </p><p><p>Center for International Development and Conflict Management, “Peace and Conflict 2008”, J. Joseph Hewitt, Jonathan Wilkenfield, and Ted Robert Gerr, authors. <a href="http://www.cidcm.umd.edu/pc/chapter03/graphs/figure_3_1.asp">http://www.cidcm.umd.edu/pc/chapter03/graphs/figure_3_1.asp</a> </p><p><p>Centre for the Study of Civil War, “Battle Deaths Dataset 2.0” <br><a title="http://www.prio.no/CSCW/Datasets/Armed-Conflict/Battle-Deaths/The-Battle-Deaths-Dataset-version-20/" href="http://www.prio.no/CSCW/Datasets/Armed-Conflict/Battle-Deaths/The-Battle-Deaths-Dataset-version-20/">http://www.prio.no/CSCW/Datasets/Armed-Conflict/Battle-Deaths/The-Battle-Deaths-Dataset-version-20/</a></p><p><p>Center for Systemic Peace, “Global Conflict Trends, Updated 2009” <br><a title="http://www.systemicpeace.org/conflict.htm" href="http://www.systemicpeace.org/conflict.htm">http://www.systemicpeace.org/conflict.htm</a> </p><p><p>Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat, “World Population Prospects: The 2008 Revision”<br><a href="http://esa.un.org/unpp">http://esa.un.org/unpp</a></p><p><p>Shaohua Chen and Martin Ravallion, World Bank Policy Research Working Paper 4703, August 2008</p><p><p>European Environment Agency, “Core Set of Indicators: CO<sub>2</sub> concentrations”<br><a href="http://themes.eea.europa.eu/IMS/Overviews/csi_datasets_overview_public">http://themes.eea.europa.eu/IMS/Overviews/csi_datasets_overview_public</a> <br></p><p><p>Intergovernmental Panel on Climate Change, “Climate Change 2007: Synthesis Report”<br><a href="http://www.ipcc.ch/pdf/assessment-report/ar4/syr/ar4_syr_spm.pdf">http://www.ipcc.ch/pdf/assessment-report/ar4/syr/ar4_syr_spm.pdf</a> <br><br>Bureau of Economic Analysis, NIPA Table 1.1.1, July 2009<br><a href="http://bea.gov/national/nipaweb/TableView.asp?SelectedTable=1&amp;FirstYear=2007&amp;LastYear=2008&amp;Freq=Qtr">http://bea.gov/national/nipaweb/TableView.asp?SelectedTable=1&amp;FirstYear=2007&amp;LastYear=2008&amp;Freq=Qtr</a> </p><p><p>Bureau of Labor Statistics, Current Population Survey Unemployment Data, July 2009<br><a href="http://www.bls.gov/cps/">http://www.bls.gov/cps/</a> </p><p><p>Conference Board Consumer Confidence Index<br><a href="http://www.conference-board.org/economics/consumerConfidence.cfm">http://www.conference-board.org/economics/consumerConfidence.cfm</a> </p><p><p>Bureau of Labor Statistics, Consumer Price Index, All Urban Consumers, Seasonally Adjusted <br><a href="http://www.bls.gov/cpi/">http://www.bls.gov/cpi/</a> </p><p><p>Freddie Mac, Primary Mortgage Market Survey, "Monthly Average Commitment Rate and Points on 30-year Fixed Rate Mortgages since 1971"<br><a href="http://www.freddiemac.com/pmms/pmms30.htm">http://www.freddiemac.com/pmms/pmms30.htm</a> </p><p><p>Congressional Budget Office, “A Preliminary Analysis of the President’s Budget and an Update of CBO’s Budget and Economic Outlook” March 2009<br><a href="http://www.cbo.gov/ftpdocs/100xx/doc10014/03-20-PresidentBudget.pdf">http://www.cbo.gov/ftpdocs/100xx/doc10014/03-20-PresidentBudget.pdf</a> </p><p><p>Council of Economic Advisors, “Economic Report of the President: A Report to Congress, January 2009”<br><a href="http://www.gpoaccess.gov/eop/2009/2009_erp.pdf">http://www.gpoaccess.gov/eop/2009/2009_erp.pdf</a> </p><p><p>Bureau of Economic Analysis, NIPA Table 1.1.5<i> <br></i><a href="http://www.bea.gov/national/nipaweb/TableView.asp?SelectedTable=5&amp;Freq=Qtr&amp;FirstYear=2007&amp;LastYear=2009">http://www.bea.gov/national/nipaweb/TableView.asp?SelectedTable=5&amp;Freq=Qtr&amp;FirstYear=2007&amp;LastYear=2009</a> </p><p><p>Bureau of Economic Analysis, NIPA Table 2.1<br><a href="http://www.bea.gov/national/nipaweb/TableView.asp?SelectedTable=58&amp;Freq=Qtr&amp;FirstYear=2007&amp;LastYear=2009">http://www.bea.gov/national/nipaweb/TableView.asp?SelectedTable=58&amp;Freq=Qtr&amp;FirstYear=2007&amp;LastYear=2009</a> </p><p><p>The Federal Reserve. "Factors Affecting Bank Reserves and Condition Statement of F.R. Banks." H.4.1<br><a href="http://fraser.stlouisfed.org/statreleases/h41/">http://fraser.stlouisfed.org/statreleases/h41/</a> </p><p><p>Moody’s Analytics Economy.com <br><a href="http://www.economy.com/home/products/data_services.asp?src=economy_im_interested_in_data">http://www.economy.com/home/products/data_services.asp?src=economy_im_interested_in_data</a> </p><p>Energy Information Administration Database<br><a href="http://www.eia.doe.gov/overview_hd.html">http://www.eia.doe.gov/overview_hd.html</a> </p><p><p>U.S. Census Bureau, Statistical Abstract of the United States: 2009, Table 100. (128th Edition) Washington, DC, 2008.</p><p><p>Centers for Disease Control's National Center for Health Statistics. "Trends in Health Care Coverage and Insurance from 1959-2007."</p><p><p>The Gallup Poll: Presidential and Congressional Approval Ratings<br><a href="http://www.gallup.com/tag/Presidential+Job+Approval.aspx">http://www.gallup.com/tag/Presidential+Job+Approval.aspx</a> </p><p><p><p><p><p><p><p><p><p><p><p><p><p><p><p><p><p><p><p><p><p><p><p><h4>
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		<h4>
			Authors
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			<li><a href="http://www.brookings.edu/experts/antholisw?view=bio">William J. Antholis</a></li><li><a href="http://www.brookings.edu/experts/ohanlonm?view=bio">Michael E. O'Hanlon</a></li><li><a href="http://www.brookings.edu/experts/westd?view=bio">Darrell M. West</a></li>
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		Publication: The Brookings Institution and The Washington Post
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</description><pubDate>Sun, 26 Jul 2009 00:00:00 -0400</pubDate><dc:creator>William J. Antholis, Michael E. O'Hanlon and Darrell M. West</dc:creator><content:encoded><![CDATA[<div>
	<p><b>Index #1: Presidential first half-years </b> 
<br>
<br>As the Obama administration completes its first six months in office, a team of Brookings scholars is tracking data for various dimensions of national and international well-being. This first “How We’re Doing” Index serves two purposes: it compares the state of the nation and the world with conditions that prevailed at about the same time in the last five presidents, and it establishes a baseline for future indexes. Our starting point is the American Constitution’s mandate that the government “provide for the common defense, promote the general welfare, and secure the blessings of liberty.” &lt;not-mobile message=""&gt;<a href="#story">Continue reading below chart »</a> &lt;/not-mobile&gt;
<br>
<br><b>See also:</b> 
<br>» <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/governance/govwatch.aspx">GovWatch</a>—tracking the progress and performance of our institutions in economic recovery 
<br>» <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/metro/MetroMonitor.aspx">MetroMonitor</a>—a barometer of the health of America’s 100 largest metropolitan economies
<br>» <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/multimedia/video/2009/0727_index_west.aspx">Darrell West discussing</a> how President Obama compares to the prior five presidents </p><p>&lt;not-mobile message="** To see the full indicator chart, please visit brookings.edu on your desktop **"&gt; <div class="interactive_table"><h2>"Common Defense"</h2>
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"> </td>
<td class="second person" valign="top"><div class="content"><img alt="" src="http://www.brookings.edu/i/interactivetable/carter.jpg"> <p><b>Jimmy Carter</b> (1977)</p></div></td>
<td class="person" valign="top"><div class="content"><img alt="" src="http://www.brookings.edu/i/interactivetable/reagan.jpg"> <p><b>Ronald Reagan</b> (1981)</p></div></td>
<td class="person" valign="top"><div class="content"><img alt="" src="http://www.brookings.edu/i/interactivetable/ghwbush.jpg"> <p><b>George HW Bush</b> (1989)</p></div></td>
<td class="person" valign="top"><div class="content"><img alt="" src="http://www.brookings.edu/i/interactivetable/clinton.jpg"> <p><b>Bill Clinton</b> (1993)</p></div></td>
<td class="person" valign="top"><div class="content"><img alt="" src="http://www.brookings.edu/i/interactivetable/gwbush.jpg"> <p><b>George W. Bush</b> (2001)</p></div></td>
<td class="person" valign="top"><div class="content"><img alt="" src="http://www.brookings.edu/i/interactivetable/obama.jpg"> <p><b>Barack Obama</b> (2009)</p></div></td></tr>
<tr>
<td class="first label"><div class="content">U.S. defense budget (billions of constant fiscal 2009 dollars) </div></td>
<td class="number slashed" valign="top"><div class="content">$383 </div></td>
<td class="number slashed" valign="top"><div class="content">$428 </div></td>
<td class="number slashed" valign="top"><div class="content">$502 </div></td>
<td class="number slashed" valign="top"><div class="content">$416 </div></td>
<td class="number slashed" valign="top"><div class="content">$395 </div></td>
<td class="number slashed slashed_last" valign="top"><div class="content">$697 </div></td></tr>
<tr>
<td class="first label"><div class="content">Number of U.S. military personnel stationed abroad</div></td>
<td class="number slashed" valign="top"><div class="content">459,000 </div></td>
<td class="number slashed" valign="top"><div class="content">502,000 </div></td>
<td class="number slashed" valign="top"><div class="content">510,000 </div></td>
<td class="number slashed" valign="top"><div class="content">308,000 </div></td>
<td class="number slashed" valign="top"><div class="content">255,000 </div></td>
<td class="number slashed slashed_last" valign="top"><div class="content">476,000 </div></td></tr>
<tr>
<td class="first label"><div class="content">U.S. defense budget as a percentage of GDP </div></td>
<td class="number lightblue" valign="top"><div class="content">4.8% </div></td>
<td class="number blue" valign="top"><div class="content">5.7%</div></td>
<td class="number blue" valign="top"><div class="content">5.5%</div></td>
<td class="number lightblue" valign="top"><div class="content">4.2%</div></td>
<td class="number white" valign="top"><div class="content">2.9%</div></td>
<td class="number lightblue lightblue_last" valign="top"><div class="content">4.2%</div></td></tr>
<tr>
<td class="first label"><div class="content">Number of U.S. military combat fatalities</div></td>
<td class="number white" valign="top"><div class="content">0 </div></td>
<td class="number white" valign="top"><div class="content">0 </div></td>
<td class="number lightblue" valign="top"><div class="content">23 </div></td>
<td class="number lightblue" valign="top"><div class="content">29 </div></td>
<td class="number lightestblue" valign="top"><div class="content">3 </div></td>
<td class="number blue blue_last" valign="top"><div class="content">212 </div></td></tr>
<tr>
<td class="first label"><div class="content">Number of nations that have tested a nuclear weapon </div></td>
<td class="number lightestblue" valign="top"><div class="content">5 </div></td>
<td class="number lightestblue" valign="top"><div class="content">5 </div></td>
<td class="number lightestblue" valign="top"><div class="content">5 </div></td>
<td class="number lightestblue" valign="top"><div class="content">5 </div></td>
<td class="number lightblue" valign="top"><div class="content">7 </div></td>
<td class="number blue blue_last" valign="top"><div class="content">8 </div></td></tr>
<tr>
<td class="first label"><div class="content">Armed conflicts worldwide </div></td>
<td class="number white" valign="top"><div class="content">23 </div></td>
<td class="number lightblue" valign="top"><div class="content">30 </div></td>
<td class="number blue" valign="top"><div class="content">34 </div></td>
<td class="number blue" valign="top"><div class="content">32 </div></td>
<td class="number lightblue" valign="top"><div class="content">28 </div></td>
<td class="number lightestblue lightestblue_last" valign="top"><div class="content">26 </div></td></tr>
<tr>
<td class="first label"><div class="content">Civilian casualties due to armed conflicts worldwide </div></td>
<td class="number lightblue" valign="top"><div class="content">64,000 </div></td>
<td class="number blue" valign="top"><div class="content">207,000 </div></td>
<td class="number lightblue" valign="top"><div class="content">97,000 </div></td>
<td class="number lightblue" valign="top"><div class="content">103,000 </div></td>
<td class="number lightestblue" valign="top"><div class="content">42,000 </div></td>
<td class="number white" valign="top"><div class="content">25,000 </div></td></tr>
<tr>
<td class="first label"><div class="content">World population (in millions) </div></td>
<td class="number lightestblue" valign="top"><div class="content">4,134 </div></td>
<td class="number lightestblue" valign="top"><div class="content">4,438 </div></td>
<td class="number lightblue" valign="top"><div class="content">5,108 </div></td>
<td class="number lightblue" valign="top"><div class="content">5,456 </div></td>
<td class="number blue" valign="top"><div class="content">6,115 </div></td>
<td class="number blue blue_last" valign="top"><div class="content">6,747 </div></td></tr>
<tr>
<td class="first label"><div class="content">Share of global population living on less then $1 a day </div></td>
<td class="number slashed" valign="top"><div class="content">NA </div></td>
<td class="number blue" valign="top"><div class="content">41.4% </div></td>
<td class="number lightblue" valign="top"><div class="content">29.8% </div></td>
<td class="number lightblue" valign="top"><div class="content">27.0% </div></td>
<td class="number lightestblue" valign="top"><div class="content">20.3% </div></td>
<td class="number white" valign="top"><div class="content">16.1% </div></td></tr>
<tr class="last">
<td class="first label"><div class="content">Greenhouse gas concentrations in atmosphere (CO2 and equivalents; 470 parts per million is considered dangerous) </div></td>
<td class="number white" valign="top"><div class="content">361 </div></td>
<td class="number white" valign="top"><div class="content">375 </div></td>
<td class="number lightestblue" valign="top"><div class="content">392 </div></td>
<td class="number lightestblue" valign="top"><div class="content">400 </div></td>
<td class="number lightblue" valign="top"><div class="content">420 </div></td>
<td class="number blue blue_last" valign="top"><div class="content">439 </div></td></tr></tbody></table><h2>"General Welfare"</h2>
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"> </td>
<td class="second person" valign="top"><div class="content"><p><b>Jimmy Carter</b> (1977)</p></div></td>
<td class="person" valign="top"><div class="content"><p><b>Ronald Reagan</b> (1981)</p></div></td>
<td class="person" valign="top"><div class="content"><p><b>George HW Bush</b> (1989)</p></div></td>
<td class="person" valign="top"><div class="content"><p><b>Bill Clinton</b> (1993)</p></div></td>
<td class="person" valign="top"><div class="content"><p><b>George W. Bush</b> (2001)</p></div></td>
<td class="person" valign="top"><div class="content"><p><b>Barack Obama</b> (2009)</p></div></td></tr>
<tr>
<td class="first label"><div class="content">Real GDP growth (annualized for first quarter of presidency)</div></td>
<td class="number white" valign="top"><div class="content">4.9% </div></td>
<td class="number white" valign="top"><div class="content">8.4% </div></td>
<td class="number white" valign="top"><div class="content">4.1% </div></td>
<td class="number lightblue" valign="top"><div class="content">0.5% </div></td>
<td class="number lightblue" valign="top"><div class="content">-0.5% </div></td>
<td class="number blue blue_last" valign="top"><div class="content">-5.5% </div></td></tr>
<tr>
<td class="first label"><div class="content">Unemployment rate </div></td>
<td class="number lightblue" valign="top"><div class="content">7.2% </div></td>
<td class="number lightblue" valign="top"><div class="content">7.5% </div></td>
<td class="number lightestblue" valign="top"><div class="content">5.3% </div></td>
<td class="number lightblue" valign="top"><div class="content">7.0% </div></td>
<td class="number white" valign="top"><div class="content">4.5% </div></td>
<td class="number blue blue_last" valign="top"><div class="content">9.5% </div></td></tr>
<tr>
<td class="first label"><div class="content">Consumer confidence (Conference Board consumer confidence index in June)</div></td>
<td class="number lightestblue" valign="top"><div class="content">98.2 </div></td>
<td class="number lightestblue" valign="top"><div class="content">83.0 </div></td>
<td class="number white" valign="top"><div class="content">117.2 </div></td>
<td class="number lightblue" valign="top"><div class="content">58.6 </div></td>
<td class="number white" valign="top"><div class="content">118.9 </div></td>
<td class="number blue blue_last" valign="top"><div class="content">49.3 </div></td></tr>
<tr>
<td class="first label"><div class="content">Inflation (six-month change in Consumer Price Index, annualized) </div></td>
<td class="number blue" valign="top"><div class="content">7.3% </div></td>
<td class="number blue" valign="top"><div class="content">9.7% </div></td>
<td class="number lightblue" valign="top"><div class="content">5.7% </div></td>
<td class="number white" valign="top"><div class="content">2.8% </div></td>
<td class="number lightestblue" valign="top"><div class="content">3.6% </div></td>
<td class="number white" valign="top"><div class="content">2.7% </div></td></tr>
<tr>
<td class="first label"><div class="content">Interest rate on 30-year fixed mortgage </div></td>
<td class="number lightestblue" valign="top"><div class="content">8.86% </div></td>
<td class="number blue" valign="top"><div class="content">16.70%</div></td>
<td class="number lightblue" valign="top"><div class="content">10.20% </div></td>
<td class="number lightestblue" valign="top"><div class="content">7.42% </div></td>
<td class="number lightestblue" valign="top"><div class="content">7.16% </div></td>
<td class="number white" valign="top"><div class="content">5.42% </div></td></tr>
<tr>
<td class="first label"><div class="content">Public debt as a percentage of GDP </div></td>
<td class="number white" valign="top"><div class="content">27.8%</div></td>
<td class="number white" valign="top"><div class="content">25.8%</div></td>
<td class="number lightblue" valign="top"><div class="content">40.6%</div></td>
<td class="number lightblue" valign="top"><div class="content">49.4%</div></td>
<td class="number lightestblue" valign="top"><div class="content">33.0%</div></td>
<td class="number blue blue_last" valign="top"><div class="content">54.8%</div></td></tr>
<tr>
<td class="first label"><div class="content">Oil imports (as a percentage of U.S. oil consumption) </div></td>
<td class="number white" valign="top"><div class="content">48.0%</div></td>
<td class="number white" valign="top"><div class="content">46.2%</div></td>
<td class="number lightestblue" valign="top"><div class="content">50.3%</div></td>
<td class="number lightestblue" valign="top"><div class="content">55.9% </div></td>
<td class="number lightblue" valign="top"><div class="content">70.6%</div></td>
<td class="number blue blue_last" valign="top"><div class="content">78.4%</div></td></tr>
<tr>
<td class="first label"><div class="content">Percentage of large metropolitan areas with employment declines </div></td>
<td class="number white" valign="top"><div class="content">11%</div></td>
<td class="number lightestblue" valign="top"><div class="content">20%</div></td>
<td class="number white" valign="top"><div class="content">7%</div></td>
<td class="number white" valign="top"><div class="content">13%</div></td>
<td class="number lightblue" valign="top"><div class="content">37%</div></td>
<td class="number blue blue_last" valign="top"><div class="content">97%</div></td></tr>
<tr>
<td class="first label"><div class="content">Percent of large metro areas with house price declines </div></td>
<td class="number slashed" valign="top"><div class="content">NA </div></td>
<td class="number blue" valign="top"><div class="content">78%</div></td>
<td class="number lightestblue" valign="top"><div class="content">59%</div></td>
<td class="number lightblue" valign="top"><div class="content">69%</div></td>
<td class="number white" valign="top"><div class="content">1%</div></td>
<td class="number lightestblue lightestblue_last" valign="top"><div class="content">61%</div></td></tr>
<tr>
<td class="first label"><div class="content">Federal Reserve balance sheet as a percentage of GDP </div></td>
<td class="number lightblue" valign="top"><div class="content">7.04%</div></td>
<td class="number white" valign="top"><div class="content">5.69%</div></td>
<td class="number white" valign="top"><div class="content">5.69%</div></td>
<td class="number lightestblue" valign="top"><div class="content">6.20%</div></td>
<td class="number lightestblue" valign="top"><div class="content">6.29%</div></td>
<td class="number blue blue_last" valign="top"><div class="content">14.51%</div></td></tr>
<tr>
<td class="first label"><div class="content">Personal savings rate </div></td>
<td class="number white" valign="top"><div class="content">8.0%</div></td>
<td class="number white" valign="top"><div class="content">9.8% </div></td>
<td class="number white" valign="top"><div class="content">7.9% </div></td>
<td class="number lightestblue" valign="top"><div class="content">5.7% </div></td>
<td class="number blue" valign="top"><div class="content">1.9% </div></td>
<td class="number lightblue lightblue_last" valign="top"><div class="content">4.3% </div></td></tr>
<tr>
<td class="first label"><div class="content">Life expectancy for people born in year of election</div></td>
<td class="number white" valign="top"><div class="content">72.6</div></td>
<td class="number white" valign="top"><div class="content">73.7</div></td>
<td class="number lightestblue" valign="top"><div class="content">74.9</div></td>
<td class="number lightblue" valign="top"><div class="content">75.8</div></td>
<td class="number blue" valign="top"><div class="content">77.0</div></td>
<td class="number blue blue_last" valign="top"><div class="content">77.8 (est.)</div></td></tr>
<tr class="last">
<td class="first label"><div class="content">Percentage of non-elderly Americans lacking health insurance in year of election</div></td>
<td class="number lightestblue" valign="top"><div class="content">14.1%</div></td>
<td class="number white" valign="top"><div class="content">12.0%</div></td>
<td class="number lightblue" valign="top"><div class="content">15.6%</div></td>
<td class="number blue" valign="top"><div class="content">16.8%</div></td>
<td class="number blue" valign="top"><div class="content">16.8%</div></td>
<td class="number blue blue_last" valign="top"><div class="content">16.6%</div></td></tr></tbody></table><h2>"Blessings of Liberty"</h2>
<table class="clearfix" cellspacing="0" cellpadding="0" width="100%" border="0">
<tbody>
<tr class="first">
<td class="first"> </td>
<td class="second person" valign="top"><div class="content"><p><b>Jimmy Carter</b> (1977)</p></div></td>
<td class="person" valign="top"><div class="content"><p><b>Ronald Reagan</b> (1981)</p></div></td>
<td class="person" valign="top"><div class="content"><p><b>George HW Bush</b> (1989)</p></div></td>
<td class="person" valign="top"><div class="content"><p><b>Bill Clinton</b> (1993)</p></div></td>
<td class="person" valign="top"><div class="content"><p><b>George W. Bush</b> (2001)</p></div></td>
<td class="person" valign="top"><div class="content"><p><b>Barack Obama</b> (2009)</p></div></td></tr>
<tr>
<td class="first label"><div class="content">Approval rating of the president, as of July 15 </div></td>
<td class="number white" valign="top"><div class="content">62% </div></td>
<td class="number white" valign="top"><div class="content">60% </div></td>
<td class="number lightblue" valign="top"><div class="content">49% </div></td>
<td class="number blue" valign="top"><div class="content">45% </div></td>
<td class="number lightestblue" valign="top"><div class="content">57% </div></td>
<td class="number white" valign="top"><div class="content">60% </div></td></tr>
<tr>
<td class="first label"><div class="content">Approval rating of Congress, as of July 15</div></td>
<td class="number lightblue" valign="top"><div class="content">34% </div></td>
<td class="number lightblue" valign="top"><div class="content">38% </div></td>
<td class="number blue" valign="top"><div class="content">28% </div></td>
<td class="number blue" valign="top"><div class="content">24% </div></td>
<td class="number lightestblue" valign="top"><div class="content">49% </div></td>
<td class="number lightblue lightblue_last" valign="top"><div class="content">33% </div></td></tr>
<tr>
<td class="first label"><div class="content">"Satisfied with the way things are," as of July 15 </div></td>
<td class="number slashed" valign="top"><div class="content">NA </div></td>
<td class="number lightblue" valign="top"><div class="content">33% </div></td>
<td class="number lightestblue" valign="top"><div class="content">44% </div></td>
<td class="number blue" valign="top"><div class="content">24% </div></td>
<td class="number white" valign="top"><div class="content">51% </div></td>
<td class="number lightblue lightblue_last" valign="top"><div class="content">31% </div></td></tr>
<tr>
<td class="first label"><div class="content">Satisfaction improvement over six months </div></td>
<td class="number slashed" valign="top"><div class="content">NA </div></td>
<td class="number white" valign="top"><div class="content">+16% </div></td>
<td class="number lightestblue" valign="top"><div class="content">-1% </div></td>
<td class="number blue" valign="top"><div class="content">-5% </div></td>
<td class="number blue" valign="top"><div class="content">-5% </div></td>
<td class="number white" valign="top"><div class="content">+14% </div></td></tr>
<tr>
<td class="first label"><div class="content">Approval rating of the president by independent voters, as of July 15 </div></td>
<td class="number white" valign="top"><div class="content">59% </div></td>
<td class="number white" valign="top"><div class="content">60% </div></td>
<td class="number lightblue" valign="top"><div class="content">48% </div></td>
<td class="number blue" valign="top"><div class="content">41% </div></td>
<td class="number lightestblue" valign="top"><div class="content">52% </div></td>
<td class="number lightestblue lightestblue_last" valign="top"><div class="content">54% </div></td></tr>
<tr class="last">
<td class="first label"><div class="content">Gap between Republican and Democratic presidential approval ratings </div></td>
<td class="number white" valign="top"><div class="content">30 </div></td>
<td class="number lightestblue" valign="top"><div class="content">44</div></td>
<td class="number lightblue" valign="top"><div class="content">50</div></td>
<td class="number blue" valign="top"><div class="content">58</div></td>
<td class="number blue" valign="top"><div class="content">59</div></td>
<td class="number blue blue_last" valign="top"><div class="content">65 </div></td></tr></tbody></table><p><img alt="" src="http://www.brookings.edu/i/interactivetable/key.gif"></p></div><!-- ============================== --><!-- ============================== --><!-- NARRATIVE CONTENT RESUMES HERE --><!-- ============================== --><!-- ============================== --><!-- ============================== --><a name="story"></a><a href="#sources">See data sources »</a> 
<br>&lt;/not-mobile&gt;
<br>
<br>In dealing with a complex world, Obama inherited—but now owns—wars in Iraq and Afghanistan. During his first six months, the U.S. has suffered more combat casualties than his five predecessors at the outset of their terms. The armed services also have grown considerably in cost, eating into the post-Cold War “peace dividend.” Still, there is no rival superpower; none of the major nations are at war or on the brink of war with each other; and the world as a whole is afflicted by fewer armed conflicts than in the recent past, with fewer civilian casualties. 
<br>
<br>However, the nuclear nonproliferation regime—anchored by the 1968 Non-Proliferation Treaty—is weakening. India, Pakistan, and North Korea have tested the Bomb; Israel is presumed to have it as well; Iran’s ambitions are one of the world’s worst kept—and most dangerous—secrets; and other countries, including U.S. allies, are reconsidering their non-nuclear status. On top of all that, “loose nukes” could end up in the hands of non-state actors like al-Qaeda. 
<br>
<br>Peace and security depends not just on common defense but on the political and economic stability of individual countries. Conversely, abject poverty is a security challenge as well as a humanitarian one. There has been progress on that front. Despite steady growth in the world’s population, the number and percentage of desperately poor people have declined dramatically, especially in China and India. Yet the economic crisis jeopardizes that favorable trend. 
<br>
<br>Then there is the ultimate mega-threat of climate change: the concentration of greenhouse gases is creeping upward toward a level that scientists believe will cause the increase in the mean temperature of the planet to trigger a perfect storm of irreversible and catastrophic consequences unless somehow checked or countered. 
<br>
<br>America’s ability to lead in addressing this daunting global agenda depends on a strong U.S. economy. Like Obama, earlier presidents were handicapped in that regard at the outset of their terms: Jimmy Carter, Ronald Reagan and Bill Clinton faced high unemployment; Carter, Reagan and Bush41 were confronted with high inflation and interest rates; Clinton had to cope with anemic growth and a staggering debt burden; Bush43 took office amidst a recession brought on by the bursting of the dot-com bubble. 
<br>
<br>Barack Obama can take comfort from low inflation, and low interest rates. Still, his task is unprecedented. The fall-off in productive output, spending, and employment is the worst – by far – since the Depression. Most experts believe the unemployment rate will continue to rise for the rest 2009. Unlike previous recent downturns, virtually no region of the U.S. has avoided job losses. Nearly all American homeowners have experienced significant declines in the value of their homes. Public debt as a percentage of GDP has now exceeded even Reagan-era levels, thanks to recent years of high debt and the massive spending of the stimulus package. The prospect of future deficits looms large, as does the cost of the Federal Reserve’s “pump-priming” which has put nearly three times as much cash into the economy as at any point in the last four decades. Paradoxically, excessive borrowing and spending caused the crisis, but that crisis has led Americans to start saving. Policymakers now believe that the best way out of the crisis is for citizens to borrow and spend again. 
<br>
<br>Confronted with such ironies, dilemmas, and stresses, how does the public feel its government is doing? Remarkably, so far, so good. Obama’s first six-month job approval numbers are impressive. But he should note that several of predecessors also got the benefit of the doubt—for a while. Moreover, the country remains deeply polarized, and public confidence in Congress—Obama’s same-party partner in governing—is at an all time low. Republican opponents and Democratic skeptics can be counted on to jump on evidence, real or perceived, of government waste, fraud, abuse and stupidity – from banker bonuses to pork-barrel stimulus projects to error-filled tax returns by administration nominees. 
<br>
<br>The President’s initial accomplishment has been to reestablish public trust and optimism in the U.S. For the first time in six years, there is positive turnaround in the percentage of Americans who think the country is headed in the right direction. That line-item in the Index—the most subjective but among the most important—marks a turnaround that is nearly as high as what Ronald Reagan was able to effect in his first half-year. Obama’s ability to sustain that optimism and trust will depend on his ability to nudge the more objective indicators in the right direction.
<br>
<br><i>The index premiered in the </i>Washington Post<i>'s Sunday Opinion page.</i>
<br><!-- ============================== --><!-- ============================== --><!-- END NARRATIVE CONTENT ======== --><!-- ============================== --><!-- ============================== --><!-- ============================== --><hr><!-- ============================== --><!-- ============================== --><!-- SOURCES BEGIN HERE =========== --><!-- ============================== --><!-- ============================== --><!-- ============================== --><a name="sources"></a><p><b>Sources:</b></p><p><p>U.S Department of Defense, “National Defense Budget Estimates for FY 2009”, updated September 2009. 
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.defenselink.mil/comptroller/defbudget/fy2009/FY09Greenbook/greenbook_2009_updated.pdf">http://www.defenselink.mil/comptroller/defbudget/fy2009/FY09Greenbook/greenbook_2009_updated.pdf</a><i><u></u></i></p><p><i><u></u></i></p><p>Office of Management and Budget, “A New Era of Responsibility: Renewing America’s Promise”, (U.S. Government Printing Office, 2009) <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.whitehouse.gov/omb/assets/fy2010_new_era/a_new_era_of_responsibility2.pdf">http://www.whitehouse.gov/omb/assets/fy2010_new_era/a_new_era_of_responsibility2.pdf </a></p><p><p>Iraq Coalition Casualty Count
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~icasualties.org/">http://icasualties.org</a> </p><p><p>U.S. Department of Defense Personnel and Procurement Statistics
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~siadapp.dmdc.osd.mil/personnel/MILITARY/Miltop.htm">http://siadapp.dmdc.osd.mil/personnel/MILITARY/Miltop.htm</a> </p><p><p>Center for International Development and Conflict Management, “Peace and Conflict 2008”, J. Joseph Hewitt, Jonathan Wilkenfield, and Ted Robert Gerr, authors. <a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.cidcm.umd.edu/pc/chapter03/graphs/figure_3_1.asp">http://www.cidcm.umd.edu/pc/chapter03/graphs/figure_3_1.asp</a> </p><p><p>Centre for the Study of Civil War, “Battle Deaths Dataset 2.0” 
<br><a title="http://www.prio.no/CSCW/Datasets/Armed-Conflict/Battle-Deaths/The-Battle-Deaths-Dataset-version-20/" href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.prio.no/CSCW/Datasets/Armed-Conflict/Battle-Deaths/The-Battle-Deaths-Dataset-version-20/">http://www.prio.no/CSCW/Datasets/Armed-Conflict/Battle-Deaths/The-Battle-Deaths-Dataset-version-20/</a></p><p><p>Center for Systemic Peace, “Global Conflict Trends, Updated 2009” 
<br><a title="http://www.systemicpeace.org/conflict.htm" href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.systemicpeace.org/conflict.htm">http://www.systemicpeace.org/conflict.htm</a> </p><p><p>Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat, “World Population Prospects: The 2008 Revision”
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~esa.un.org/unpp">http://esa.un.org/unpp</a></p><p><p>Shaohua Chen and Martin Ravallion, World Bank Policy Research Working Paper 4703, August 2008</p><p><p>European Environment Agency, “Core Set of Indicators: CO<sub>2</sub> concentrations”
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~themes.eea.europa.eu/IMS/Overviews/csi_datasets_overview_public">http://themes.eea.europa.eu/IMS/Overviews/csi_datasets_overview_public</a> 
<br></p><p><p>Intergovernmental Panel on Climate Change, “Climate Change 2007: Synthesis Report”
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.ipcc.ch/pdf/assessment-report/ar4/syr/ar4_syr_spm.pdf">http://www.ipcc.ch/pdf/assessment-report/ar4/syr/ar4_syr_spm.pdf</a> 
<br>
<br>Bureau of Economic Analysis, NIPA Table 1.1.1, July 2009
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~bea.gov/national/nipaweb/TableView.asp?SelectedTable=1&amp;FirstYear=2007&amp;LastYear=2008&amp;Freq=Qtr">http://bea.gov/national/nipaweb/TableView.asp?SelectedTable=1&amp;FirstYear=2007&amp;LastYear=2008&amp;Freq=Qtr</a> </p><p><p>Bureau of Labor Statistics, Current Population Survey Unemployment Data, July 2009
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.bls.gov/cps/">http://www.bls.gov/cps/</a> </p><p><p>Conference Board Consumer Confidence Index
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.conference-board.org/economics/consumerConfidence.cfm">http://www.conference-board.org/economics/consumerConfidence.cfm</a> </p><p><p>Bureau of Labor Statistics, Consumer Price Index, All Urban Consumers, Seasonally Adjusted 
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.bls.gov/cpi/">http://www.bls.gov/cpi/</a> </p><p><p>Freddie Mac, Primary Mortgage Market Survey, "Monthly Average Commitment Rate and Points on 30-year Fixed Rate Mortgages since 1971"
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.freddiemac.com/pmms/pmms30.htm">http://www.freddiemac.com/pmms/pmms30.htm</a> </p><p><p>Congressional Budget Office, “A Preliminary Analysis of the President’s Budget and an Update of CBO’s Budget and Economic Outlook” March 2009
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.cbo.gov/ftpdocs/100xx/doc10014/03-20-PresidentBudget.pdf">http://www.cbo.gov/ftpdocs/100xx/doc10014/03-20-PresidentBudget.pdf</a> </p><p><p>Council of Economic Advisors, “Economic Report of the President: A Report to Congress, January 2009”
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.gpoaccess.gov/eop/2009/2009_erp.pdf">http://www.gpoaccess.gov/eop/2009/2009_erp.pdf</a> </p><p><p>Bureau of Economic Analysis, NIPA Table 1.1.5<i> 
<br></i><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.bea.gov/national/nipaweb/TableView.asp?SelectedTable=5&amp;Freq=Qtr&amp;FirstYear=2007&amp;LastYear=2009">http://www.bea.gov/national/nipaweb/TableView.asp?SelectedTable=5&amp;Freq=Qtr&amp;FirstYear=2007&amp;LastYear=2009</a> </p><p><p>Bureau of Economic Analysis, NIPA Table 2.1
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.bea.gov/national/nipaweb/TableView.asp?SelectedTable=58&amp;Freq=Qtr&amp;FirstYear=2007&amp;LastYear=2009">http://www.bea.gov/national/nipaweb/TableView.asp?SelectedTable=58&amp;Freq=Qtr&amp;FirstYear=2007&amp;LastYear=2009</a> </p><p><p>The Federal Reserve. "Factors Affecting Bank Reserves and Condition Statement of F.R. Banks." H.4.1
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~fraser.stlouisfed.org/statreleases/h41/">http://fraser.stlouisfed.org/statreleases/h41/</a> </p><p><p>Moody’s Analytics Economy.com 
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.economy.com/home/products/data_services.asp?src=economy_im_interested_in_data">http://www.economy.com/home/products/data_services.asp?src=economy_im_interested_in_data</a> </p><p>Energy Information Administration Database
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.eia.doe.gov/overview_hd.html">http://www.eia.doe.gov/overview_hd.html</a> </p><p><p>U.S. Census Bureau, Statistical Abstract of the United States: 2009, Table 100. (128th Edition) Washington, DC, 2008.</p><p><p>Centers for Disease Control's National Center for Health Statistics. "Trends in Health Care Coverage and Insurance from 1959-2007."</p><p><p>The Gallup Poll: Presidential and Congressional Approval Ratings
<br><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.gallup.com/tag/Presidential+Job+Approval.aspx">http://www.gallup.com/tag/Presidential+Job+Approval.aspx</a> </p><p><p><p><p><p><p><p><p><p><p><p><p><p><p><p><p><p><p><p><p><p><p><p><h4>
		Downloads
	</h4><ul>
		<li><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/~/media/research/files/papers/2009/7/26-recovery-renewal/how_were_doing_index.pdf">Download analysis and chart</a></li>
	</ul><div>
		<h4>
			Authors
		</h4><ul>
			<li><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/experts/antholisw?view=bio">William J. Antholis</a></li><li><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/experts/ohanlonm?view=bio">Michael E. O'Hanlon</a></li><li><a href="http://webfeeds.brookings.edu/~/t/0/0/brookingsrss/series/howweredoing/~www.brookings.edu/experts/westd?view=bio">Darrell M. West</a></li>
		</ul>
	</div><div>
		Publication: The Brookings Institution and The Washington Post
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