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	<title>EMSI &#124; Economic Modeling Specialists Inc.</title>
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	<link>http://www.economicmodeling.com</link>
	<description>Economic Modeling Specialists Inc. (EMSI) provides high-quality employment data and economic analysis via web tools and custom reports.</description>
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		<title>The Economic Impact of Communities In Schools</title>
		<link>http://www.economicmodeling.com/2012/05/16/the-economic-impact-of-communities-in-schools/</link>
		<comments>http://www.economicmodeling.com/2012/05/16/the-economic-impact-of-communities-in-schools/#comments</comments>
		<pubDate>Wed, 16 May 2012 19:41:43 +0000</pubDate>
		<dc:creator>Rob Sentz</dc:creator>
				<category><![CDATA[Data & Analysis]]></category>
		<category><![CDATA[Education]]></category>
		<category><![CDATA[In the News]]></category>
		<category><![CDATA[communities in schools]]></category>
		<category><![CDATA[dropouts]]></category>
		<category><![CDATA[economic impacts]]></category>
		<category><![CDATA[msnbc]]></category>
		<category><![CDATA[return on investment]]></category>

		<guid isPermaLink="false">http://www.economicmodeling.com/?p=45607</guid>
		<description><![CDATA[EMSI recently partnered with Communities In Schools, the nation's leading dropout prevention organization, to produce a cost-benefit model that assesses the economic impact of CIS' operations.]]></description>
			<content:encoded><![CDATA[<p><a href="http://www.economicmodeling.com/wp-content/uploads/CIS-logo.png"><img class="alignleft  wp-image-45622" style="margin-left: 2px; margin-right: 2px;" src="http://www.economicmodeling.com/wp-content/uploads/CIS-logo.png" alt="" width="121" height="96" /></a>EMSI recently partnered with <a href="http://www.communitiesinschools.org/">Communities In Schools</a>, the nation&#8217;s leading dropout prevention organization, to produce a cost-benefit model that assesses the economic impact of CIS&#8217; operations.</p>
<p>CIS just released the study. As part of the unveiling, Elaine Wynn, Chair of the National Board of CIS, and Dan Cardinali, President of CIS, <a href="http://www.msnbc.msn.com/id/3036789/ns/msnbc_tv-morning_joe/#47443692">appeared</a> on MSNBC&#8217;s Morning Joe news segment (@morning_joe) to discuss the study.</p>
<p><strong>You can learn more and download the report <a href="http://www.communitiesinschools.org/about/publications/publication/economic-impact-communities-schools">on its website</a>.</strong></p>
<p>Here is more thorough description of the project:</p>
<blockquote><p>Communities In Schools contracted with EMSI to specify its economic and social returns to society through a rigorous third-party investment analysis. The purpose of this important next step is to quantify the return on investment of Communities In Schools’ 113 high school-serving affiliates in its network to taxpayers, businesses, and students. The analysis also shows the economic benefits when local affiliates go from implementing parts of the Communities In Schools model in some of their high schools to full implementation in all of their high schools.</p></blockquote>
<p><object id="msnbc92867d" width="420" height="245" classid="clsid:d27cdb6e-ae6d-11cf-96b8-444553540000" codebase="http://download.macromedia.com/pub/shockwave/cabs/flash/swflash.cab#version=6,0,40,0"><param name="FlashVars" value="launch=47443692&amp;width=420&amp;height=245" /><param name="allowScriptAccess" value="always" /><param name="allowFullScreen" value="true" /><param name="wmode" value="transparent" /><param name="src" value="http://www.msnbc.msn.com/id/32545640" /><param name="flashvars" value="launch=47443692&amp;width=420&amp;height=245" /><param name="allowscriptaccess" value="always" /><param name="allowfullscreen" value="true" /><param name="pluginspage" value="http://www.adobe.com/shockwave/download/download.cgi?P1_Prod_Version=ShockwaveFlash" /><embed id="msnbc92867d" width="420" height="245" type="application/x-shockwave-flash" src="http://www.msnbc.msn.com/id/32545640" FlashVars="launch=47443692&amp;width=420&amp;height=245" allowScriptAccess="always" allowFullScreen="true" wmode="transparent" flashvars="launch=47443692&amp;width=420&amp;height=245" allowscriptaccess="always" allowfullscreen="true" pluginspage="http://www.adobe.com/shockwave/download/download.cgi?P1_Prod_Version=ShockwaveFlash" /></object></p>
<p style="font-size: 11px; font-family: Arial, Helvetica, sans-serif; color: #999; margin-top: 5px; background: transparent; text-align: center; width: 420px;">Visit msnbc.com for <a style="text-decoration: none !important; border-bottom: 1px dotted #999 !important; font-weight: normal !important; height: 13px; color: #5799db !important;" href="http://www.msnbc.msn.com">breaking news</a>, <a style="text-decoration: none !important; border-bottom: 1px dotted #999 !important; font-weight: normal !important; height: 13px; color: #5799db !important;" href="http://www.msnbc.msn.com/id/3032507">world news</a>, and <a style="text-decoration: none !important; border-bottom: 1px dotted #999 !important; font-weight: normal !important; height: 13px; color: #5799db !important;" href="http://www.msnbc.msn.com/id/3032072">news about the economy</a></p>
<p><em><strong>Find out more about EMSI <a href="http://www.economicmodeling.com/2012/04/24/2012/04/16/about/">here</a>. You can reach us via Twitter <a href="http://twitter.com/#%21/DesktopEcon">@DesktopEcon</a> or by emailing Rob Sentz (<a href="mailto:jwright@economicmodeling.com">rob@economicmodeling.com</a>).</strong></em></p>
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		<title>CNN Covers Impact of Delinquent Fathers</title>
		<link>http://www.economicmodeling.com/2012/05/15/cnn-covers-impact-of-delinquent-fathers/</link>
		<comments>http://www.economicmodeling.com/2012/05/15/cnn-covers-impact-of-delinquent-fathers/#comments</comments>
		<pubDate>Tue, 15 May 2012 20:24:17 +0000</pubDate>
		<dc:creator>Rob Sentz</dc:creator>
				<category><![CDATA[In the News]]></category>
		<category><![CDATA[cnn]]></category>
		<category><![CDATA[delinquent fathers]]></category>
		<category><![CDATA[economic impact]]></category>
		<category><![CDATA[father hunger]]></category>

		<guid isPermaLink="false">http://www.economicmodeling.com/?p=45511</guid>
		<description><![CDATA[CNN's Michele Weldon covered EMSI's economic impact study on delinquent fathers in her recent article.According to the study, children growing up in one-parent homes are 16% more likely to drop out of high school. Only 14.3% of students from one-parent households will attend some college, compared with 17.6% in two-parent households.]]></description>
			<content:encoded><![CDATA[<p>EMSI recently published a new <a href="http://www.economicmodeling.com/2012/05/04/an-economic-view-of-delinquent-fathers/">research report</a> on the economic impact of delinquent fathers. Here are the highlights:</p>
<blockquote><p>The lifetime earnings loss from the lower educational attainment equates, in present-value terms, to nearly $83,000 per child. With an estimated 19.7 million children with delinquent fathers, the average annual average loss in productivity represents a <strong>$34.8 billion loss</strong> to the national economy each year. After accounting for associated ripple effects, the total economic loss to the United States as a whole is <strong>$60 billion per year</strong>.</p></blockquote>
<p>&nbsp;</p>
<p><a href="http://www.economicmodeling.com/wp-content/uploads/Fathers1-e13361398074211.png"><img class="alignnone size-full wp-image-45525" src="http://www.economicmodeling.com/wp-content/uploads/Fathers1-e13361398074211.png" alt="" width="640" height="294" /></a></p>
<p>&nbsp;</p>
<p>CNN&#8217;s Michele Weldon covered the report in her recent <a href="http://www.cnn.com/2012/05/13/opinion/weldon-single-mothers/index.html">article</a>. Below is an excerpt:<a href="http://www.economicmodeling.com/wp-content/uploads/6a00d83451db4269e20133f0365066970b-800wi.jpg"><img class="alignright  wp-image-45516" style="margin: 2px 5px" src="http://www.economicmodeling.com/wp-content/uploads/6a00d83451db4269e20133f0365066970b-800wi-300x152.jpg" alt="" width="180" height="91" /></a></p>
<blockquote><p>Beyond that, there are realities that are hard to dispute. A new study,<a href="http://www.father-hunger.com/docs/Report-1-v2c.pdf" target="_blank"> &#8220;Father Hunger: An Economic View of Delinquent Fathers,&#8221; </a>describes the apocalypse caused by single parenting framed in economic terms. This white paper, by Idaho-based Economic Modeling Specialists, describes the education gap, earnings gap and ultimately value lost from direct and indirect labor income to the nation&#8217;s economy of $60 billion per year.</p>
<p>According to the study, children growing up in one-parent homes are 16% more likely to drop out of high school. Only 14.3% of students from one-parent households will attend some college, compared with 17.6% in two-parent households.</p></blockquote>
<p><em><strong>Access the full Father Hunger report <a href="http://www.father-hunger.com/docs/Report-1-v2c.pdf">here</a>. Find out more about EMSI and our data <a href="http://www.economicmodeling.com/2012/04/24/2012/04/16/about/">here</a>. You can reach us via Twitter <a href="http://twitter.com/#%21/DesktopEcon">@DesktopEcon</a> or by emailing Rob Sentz (<a href="mailto:jwright@economicmodeling.com">rob@economicmodeling.com</a>).</strong></em></p>
]]></content:encoded>
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		<item>
		<title>EMSI to Present at C2ER</title>
		<link>http://www.economicmodeling.com/2012/05/15/emsi-to-present-at-c2er/</link>
		<comments>http://www.economicmodeling.com/2012/05/15/emsi-to-present-at-c2er/#comments</comments>
		<pubDate>Tue, 15 May 2012 16:33:39 +0000</pubDate>
		<dc:creator>Gwen M. Burrow</dc:creator>
				<category><![CDATA[EMSI Updates]]></category>
		<category><![CDATA[c2er]]></category>
		<category><![CDATA[conference]]></category>
		<category><![CDATA[labor market data]]></category>
		<category><![CDATA[oklahoma city]]></category>

		<guid isPermaLink="false">http://www.economicmodeling.com/?p=45318</guid>
		<description><![CDATA[On Thursday, June 7, 2:00-3:15 p.m., EMSI's Chris Aberle will be speaking at C2ER's 52nd annual conference in Oklahoma City:]]></description>
			<content:encoded><![CDATA[<p><a href="http://www.economicmodeling.com/wp-content/uploads/C2ERWebBanner.jpg"><img class=" wp-image-45321 alignleft" src="http://www.economicmodeling.com/wp-content/uploads/C2ERWebBanner-e1337032533174.jpg" alt="" width="480" height="164" /></a><a href="http://www.economicmodeling.com/wp-content/uploads/IMG_0998-e1337033019236.jpg"><img class="alignright  wp-image-45330" src="http://www.economicmodeling.com/wp-content/uploads/IMG_0998-e1337033019236.jpg" alt="" width="124" height="164" /></a></p>
<p>&nbsp;</p>
<p>&nbsp;</p>
<p>&nbsp;</p>
<p>&nbsp;</p>
<p>&nbsp;</p>
<p>&nbsp;</p>
<p>On Thursday, June 7, 2:00-3:15 p.m., EMSI&#8217;s Chris Aberle will be speaking at <a href="http://www.c2er.org/conference/2012/">C2ER&#8217;s 52nd annual conference</a> in Oklahoma City:</p>
<blockquote><p>C2ER&#8217;s Annual Conference and the LMI Training Institute Annual Form bring together leading economic and workforce development researchers from across the U.S. This year&#8217;s conference will enable participants to maximize their data resources and analytical capabilities to accurately identify changes as they occur in regional economies.</p></blockquote>
<p>We&#8217;ve had the opportunity to attend C2ER for the better part of a decade and have found it to be one of the more worthwhile conferences, especially if you are interested in labor market topics. If you&#8217;d like to learn more, check out <a href="http://www.c2er.org/conference/2012/">their website</a>.</p>
<p>More to come!</p>
<p>&nbsp;</p>
]]></content:encoded>
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		<item>
		<title>WSJ Article on Midwest &#8216;Sand Rush&#8217;</title>
		<link>http://www.economicmodeling.com/2012/05/15/wsj-article-on-midwest-sand-rush/</link>
		<comments>http://www.economicmodeling.com/2012/05/15/wsj-article-on-midwest-sand-rush/#comments</comments>
		<pubDate>Tue, 15 May 2012 15:47:45 +0000</pubDate>
		<dc:creator>Rob Sentz</dc:creator>
				<category><![CDATA[In the News]]></category>
		<category><![CDATA[economic impact study]]></category>
		<category><![CDATA[fracking]]></category>
		<category><![CDATA[wall street journal]]></category>
		<category><![CDATA[wisconsin]]></category>

		<guid isPermaLink="false">http://www.economicmodeling.com/?p=45373</guid>
		<description><![CDATA[The Wall Street Journal's Mark Peters and Isabel Ordonez wrote an article on the surging demand for oil sand operations and it has created a nice energy boom in parts of our country. The authors also point a recent economic impact study that EMSI completed for a community in Wisconsin:]]></description>
			<content:encoded><![CDATA[<p><a href="http://www.economicmodeling.com/wp-content/uploads/wsj-article.png"><img class="alignnone size-full wp-image-45435" style="margin-top: 3px;margin-bottom: 3px" src="http://www.economicmodeling.com/wp-content/uploads/wsj-article.png" alt="" width="576" height="425" /></a></p>
<p>The <em>Wall Street Journal&#8217;s</em> Mark Peters and Isabel Ordonez wrote <a href="http://online.wsj.com/article/SB10001424052702303877604577383923263429292.html?mod=googlenews_wsj">an article</a> on the surging demand for oil sand operations and it has created a nice energy boom in parts of our country. The authors also point a recent economic <a href="http://www.economicmodeling.com/wp-content/uploads/s-WSJ-MAGAZINE-LOGO-large-e1337034669452.jpg"><img class="alignright size-full wp-image-45382" src="http://www.economicmodeling.com/wp-content/uploads/s-WSJ-MAGAZINE-LOGO-large-e1337034669452.jpg" alt="" width="150" height="109" /></a>impact study that EMSI completed for a community in Wisconsin:</p>
<blockquote><p>A study of Wood County by Economic Modeling Specialists Inc. projects that sandmining could add nearly 930 jobs over the next eight years, mostly in mining, processing and trucking, while new annual revenues to county and local governments could reach nearly $2.6 million. Similar gains are likely in other counties, but statewide estimates aren&#8217;t available. &#8220;It has been an absolute benefit to the economy,&#8221; Mr. Pliml said. &#8220;We are seeing another way for our economy to diversify.&#8221;</p></blockquote>
<p><em><strong>Check out <a href="http://online.wsj.com/article/SB10001424052702303877604577383923263429292.html?mod=googlenews_wsj">the article</a>. If you are interested in the research we did, contact Rob Sentz (rob@economicmodeling.com).</strong></em></p>
<p>&nbsp;</p>
]]></content:encoded>
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		<item>
		<title>California&#8217;s Top Jobs for 2012</title>
		<link>http://www.economicmodeling.com/2012/05/14/californias-top-jobs-for-2012/</link>
		<comments>http://www.economicmodeling.com/2012/05/14/californias-top-jobs-for-2012/#comments</comments>
		<pubDate>Mon, 14 May 2012 22:26:45 +0000</pubDate>
		<dc:creator>Gwen M. Burrow</dc:creator>
				<category><![CDATA[Careers]]></category>
		<category><![CDATA[Featured]]></category>
		<category><![CDATA[Front Page]]></category>
		<category><![CDATA[Occupations]]></category>
		<category><![CDATA[emsi data]]></category>
		<category><![CDATA[top jobs 2012]]></category>
		<category><![CDATA[top jobs in california]]></category>

		<guid isPermaLink="false">http://www.economicmodeling.com/?p=45282</guid>
		<description><![CDATA[In this post we explore some of the top jobs in California for 2012. As far as wages and growth are concerned, most of California’s top jobs are in healthcare. As for concentration, it probably isn’t a good time to be an entertainer or performer, but it might be fun to find one and become their agent or business manager.

]]></description>
			<content:encoded><![CDATA[<p><a href="http://www.economicmodeling.com/wp-content/uploads/CA-pic.jpg"><img class="alignright size-full wp-image-45285" src="http://www.economicmodeling.com/wp-content/uploads/CA-pic.jpg" alt="" width="200" height="296" /></a>In this post we explore some of the top jobs in California for 2012.</p>
<p>We’ll begin our analysis in 2008 so that we can cover the recession, and filter through California’s 13 million jobs using <a href="http://www.economicmodeling.com/analyst/">Analyst</a>, EMSI’s web-based labor market analysis tool. Our study is based solely on labor market data from EMSI’s <a href="http://www.economicmodeling.com/2012/05/03/emsi-data-2012-1-final/">2012.1 Covered Employment</a> release, which is drawn from 80+ state and federal data sources.</p>
<h4>ECONOMIC SUMMARY</h4>
<p>Since 2008, jobs have declined by 4.2%, which is the loss of about 700,000 jobs in four years. Current calculations put unemployment at just over 2 million. Average annual earnings are $54.5K.</p>
<h4><em></em><strong>HIGHEST-PAYING</strong></h4>
<p>Our first table shows the jobs that pay over $70 per hour (2011 median wage). What jumps out?</p>
<ul>
<li>A lot of healthcare jobs (SOC code 29).</li>
</ul>
<ul>
<li><strong>Judges, magistrate judges, &amp; magistrates</strong> ($94.89) make quite a bit more in California than they do in, say, Texas ($36.91), Virginia ($48.69), New York ($60.98), and even Washington D.C. ($75.41).</li>
</ul>
<ul>
<li>All the healthcare jobs are growing. The only non-healthcare occupations are in decline: <strong>judges</strong> (-24%) and <strong>chief executives</strong> (-12%).</li>
</ul>
<div>
<table id="wp-table-reloaded-id-330-no-1" class="wp-table-reloaded wp-table-reloaded-id-330">
<thead>
	<tr class="row-1 odd">
		<th class="column-1">SOC Code</th><th class="column-2">Description</th><th class="column-3">2008 Jobs</th><th class="column-4">2012 Jobs</th><th class="column-5">Change</th><th class="column-6">% Change</th><th class="column-7">2012 National Location Quotient</th><th class="column-8">2011 Median Hourly Wage</th><th class="column-9">Education Level</th>
	</tr>
</thead>
<tfoot>
	<tr class="row-15 odd">
		<th colspan="9" class="column-1 colspan-9">Source: EMSI Covered Employment - 2012.1</th>
	</tr>
</tfoot>
<tbody class="row-hover">
	<tr class="row-2 even">
		<td class="column-1">29-1022</td><td class="column-2">Oral and Maxillofacial Surgeons</td><td class="column-3">506</td><td class="column-4">799</td><td class="column-5">293</td><td class="column-6">58%</td><td class="column-7">0.71</td><td class="column-8">$96.87</td><td class="column-9">First professional degree</td>
	</tr>
	<tr class="row-3 odd">
		<td class="column-1">29-1029</td><td class="column-2">Dentists, All Other Specialists</td><td class="column-3">684</td><td class="column-4">711</td><td class="column-5">27</td><td class="column-6">4%</td><td class="column-7">1.05</td><td class="column-8">$95.38</td><td class="column-9">First professional degree</td>
	</tr>
	<tr class="row-4 even">
		<td class="column-1">23-1023</td><td class="column-2">Judges, Magistrate Judges, and Magistrates</td><td class="column-3">1,778</td><td class="column-4">1,343</td><td class="column-5">(435)</td><td class="column-6">(24%)</td><td class="column-7">0.51</td><td class="column-8">$94.89</td><td class="column-9">Bachelor's or higher degree, plus work experience</td>
	</tr>
	<tr class="row-5 odd">
		<td class="column-1">29-1067</td><td class="column-2">Surgeons</td><td class="column-3">4,175</td><td class="column-4">4,795</td><td class="column-5">620</td><td class="column-6">15%</td><td class="column-7">0.92</td><td class="column-8">$94.68</td><td class="column-9">First professional degree</td>
	</tr>
	<tr class="row-6 even">
		<td class="column-1">29-1061</td><td class="column-2">Anesthesiologists</td><td class="column-3">3,301</td><td class="column-4">3,988</td><td class="column-5">687</td><td class="column-6">21%</td><td class="column-7">0.89</td><td class="column-8">$93.38</td><td class="column-9">First professional degree</td>
	</tr>
	<tr class="row-7 odd">
		<td class="column-1">29-1066</td><td class="column-2">Psychiatrists</td><td class="column-3">3,230</td><td class="column-4">3,442</td><td class="column-5">212</td><td class="column-6">7%</td><td class="column-7">1.32</td><td class="column-8">$93.15</td><td class="column-9">First professional degree</td>
	</tr>
	<tr class="row-8 even">
		<td class="column-1">11-1011</td><td class="column-2">Chief Executives</td><td class="column-3">36,909</td><td class="column-4">32,539</td><td class="column-5"> (4,370)</td><td class="column-6">(12%)</td><td class="column-7">1.02</td><td class="column-8">$92.23</td><td class="column-9">Bachelor's or higher degree, plus work experience</td>
	</tr>
	<tr class="row-9 odd">
		<td class="column-1">29-1069</td><td class="column-2">Physicians and Surgeons, All Other</td><td class="column-3">21,118</td><td class="column-4">24,020</td><td class="column-5">2,902</td><td class="column-6">14%</td><td class="column-7">0.74</td><td class="column-8">$92.16</td><td class="column-9">First professional degree</td>
	</tr>
	<tr class="row-10 even">
		<td class="column-1">29-1064</td><td class="column-2">Obstetricians and Gynecologists</td><td class="column-3">2,239</td><td class="column-4">3,071</td><td class="column-5">832</td><td class="column-6">37%</td><td class="column-7">1.24</td><td class="column-8">$86.46</td><td class="column-9">First professional degree</td>
	</tr>
	<tr class="row-11 odd">
		<td class="column-1">29-1063</td><td class="column-2">Internists, General</td><td class="column-3">6,689</td><td class="column-4">7,437</td><td class="column-5">748</td><td class="column-6">11%</td><td class="column-7">1.31</td><td class="column-8">$79.97</td><td class="column-9">First professional degree</td>
	</tr>
	<tr class="row-12 even">
		<td class="column-1">29-1023</td><td class="column-2">Orthodontists</td><td class="column-3">596</td><td class="column-4">601</td><td class="column-5">5</td><td class="column-6">1%</td><td class="column-7">0.95</td><td class="column-8">$79.34</td><td class="column-9">First professional degree</td>
	</tr>
	<tr class="row-13 odd">
		<td class="column-1">29-1065</td><td class="column-2">Pediatricians, General</td><td class="column-3">4,600</td><td class="column-4">5,100</td><td class="column-5">500</td><td class="column-6">11%</td><td class="column-7">1.46</td><td class="column-8">$74.98</td><td class="column-9">First professional degree</td>
	</tr>
	<tr class="row-14 even">
		<td class="column-1">29-1062</td><td class="column-2">Family and General Practitioners</td><td class="column-3">8,816</td><td class="column-4">10,683</td><td class="column-5">1,867</td><td class="column-6">21%</td><td class="column-7">0.86</td><td class="column-8">$74.53</td><td class="column-9">First professional degree</td>
	</tr>
</tbody>
</table>
</div>
<h4><strong>BEST GROWTH<br />
</strong></h4>
<p>To better understand which jobs are experiencing the best growth, we will look at both the number of new jobs added as well as the fastest growth (measured by percent) since 2008. <em>NOTE: We are limiting ourselves to occupations that employ at least 1000 people and pay at least $25/hour, and we are excluding educational jobs.</em></p>
<ul>
<li>Registered nurses (surprise, surprise) added the most—over 18,000 jobs. In addition, there are quite a few other healthcare occupations adding substantial numbers of jobs.</li>
</ul>
<ul>
<li>Computer and mathematical occupations (SOC code 15) also show good growth.</li>
</ul>
<p><em>
<table id="wp-table-reloaded-id-331-no-1" class="wp-table-reloaded wp-table-reloaded-id-331">
<thead>
	<tr class="row-1 odd">
		<th class="column-1">SOC Code</th><th class="column-2">Description</th><th class="column-3">2008 Jobs</th><th class="column-4">2012 Jobs</th><th class="column-5">Change</th><th class="column-6">% Change</th><th class="column-7">2012 National Location Quotient</th><th class="column-8">2011 Median Hourly Wage</th><th class="column-9">Education Level</th>
	</tr>
</thead>
<tfoot>
	<tr class="row-18 even">
		<th colspan="9" class="column-1 colspan-9">Source: EMSI Covered Employment - 2012.1</th>
	</tr>
</tfoot>
<tbody class="row-hover">
	<tr class="row-2 even">
		<td class="column-1">29-1111</td><td class="column-2">Registered Nurses</td><td class="column-3">223,857</td><td class="column-4">242,274</td><td class="column-5">18,417</td><td class="column-6">8%</td><td class="column-7">0.80</td><td class="column-8">$39.86</td><td class="column-9">Associate's degree</td>
	</tr>
	<tr class="row-3 odd">
		<td class="column-1">47-4011</td><td class="column-2">Construction and Building Inspectors</td><td class="column-3">10,806</td><td class="column-4">16,546</td><td class="column-5">5,740</td><td class="column-6">53%</td><td class="column-7">1.00</td><td class="column-8">$32.82</td><td class="column-9">Work experience in a related occupation</td>
	</tr>
	<tr class="row-4 even">
		<td class="column-1">21-1029</td><td class="column-2">Social Workers, All Other</td><td class="column-3">12,537</td><td class="column-4">16,965</td><td class="column-5">4,428</td><td class="column-6">35%</td><td class="column-7">1.62</td><td class="column-8">$26.79</td><td class="column-9">Bachelor's degree</td>
	</tr>
	<tr class="row-5 odd">
		<td class="column-1">15-1081</td><td class="column-2">Network Systems and Data Communications Analysts</td><td class="column-3">26,741</td><td class="column-4">29,828</td><td class="column-5">3,087</td><td class="column-6">12%</td><td class="column-7">1.05</td><td class="column-8">$38.59</td><td class="column-9">Bachelor's degree</td>
	</tr>
	<tr class="row-6 even">
		<td class="column-1">15-1031</td><td class="column-2">Computer Software Engineers, Applications</td><td class="column-3">77,585</td><td class="column-4">80,525</td><td class="column-5">2,940</td><td class="column-6">4%</td><td class="column-7">1.36</td><td class="column-8">$48.32</td><td class="column-9">Bachelor's degree</td>
	</tr>
	<tr class="row-7 odd">
		<td class="column-1">13-1041</td><td class="column-2">Compliance Officers, Except Agriculture, Construction, Health and Safety, and Transportation</td><td class="column-3">30,039</td><td class="column-4">32,958</td><td class="column-5">2,919</td><td class="column-6">10%</td><td class="column-7">1.10</td><td class="column-8">$26.71</td><td class="column-9">Long-term on-the-job training</td>
	</tr>
	<tr class="row-8 even">
		<td class="column-1">29-1069</td><td class="column-2">Physicians and Surgeons, All Other</td><td class="column-3">21,118</td><td class="column-4">24,020</td><td class="column-5">2,902</td><td class="column-6">14%</td><td class="column-7">0.74</td><td class="column-8">$92.16</td><td class="column-9">First professional degree</td>
	</tr>
	<tr class="row-9 odd">
		<td class="column-1">19-1042</td><td class="column-2">Medical Scientists, Except Epidemiologists</td><td class="column-3">24,733</td><td class="column-4">26,804</td><td class="column-5">2,071</td><td class="column-6">8%</td><td class="column-7">2.20</td><td class="column-8">$38.56</td><td class="column-9">Doctoral degree</td>
	</tr>
	<tr class="row-10 even">
		<td class="column-1">15-1032</td><td class="column-2">Computer Software Engineers, Systems Software</td><td class="column-3">70,331</td><td class="column-4">72,347</td><td class="column-5">2,016</td><td class="column-6">3%</td><td class="column-7">1.58</td><td class="column-8">$51.50</td><td class="column-9">Bachelor's degree</td>
	</tr>
	<tr class="row-11 odd">
		<td class="column-1">29-1062</td><td class="column-2">Family and General Practitioners</td><td class="column-3">8,816</td><td class="column-4">10,683</td><td class="column-5">1,867</td><td class="column-6">21%</td><td class="column-7">0.86</td><td class="column-8">$74.53</td><td class="column-9">First professional degree</td>
	</tr>
	<tr class="row-12 even">
		<td class="column-1">11-9111</td><td class="column-2">Medical and Health Services Managers</td><td class="column-3">26,272</td><td class="column-4">28,113</td><td class="column-5">1,841</td><td class="column-6">7%</td><td class="column-7">0.90</td><td class="column-8">$44.92</td><td class="column-9">Bachelor's or higher degree, plus work experience</td>
	</tr>
	<tr class="row-13 odd">
		<td class="column-1">29-1031</td><td class="column-2">Dietitians and Nutritionists</td><td class="column-3">5,686</td><td class="column-4">7,488</td><td class="column-5">1,802</td><td class="column-6">32%</td><td class="column-7">0.94</td><td class="column-8">$30.88</td><td class="column-9">Bachelor's degree</td>
	</tr>
	<tr class="row-14 even">
		<td class="column-1">29-2011</td><td class="column-2">Medical and Clinical Laboratory Technologists</td><td class="column-3">12,399</td><td class="column-4">13,761</td><td class="column-5">1,362</td><td class="column-6">11%</td><td class="column-7">0.72</td><td class="column-8">$36.10</td><td class="column-9">Bachelor's degree</td>
	</tr>
	<tr class="row-15 odd">
		<td class="column-1">29-2034</td><td class="column-2">Radiologic Technologists and Technicians</td><td class="column-3">15,061</td><td class="column-4">16,371</td><td class="column-5">1,310</td><td class="column-6">9%</td><td class="column-7">0.66</td><td class="column-8">$30.16</td><td class="column-9">Associate's degree</td>
	</tr>
	<tr class="row-16 even">
		<td class="column-1">29-1071</td><td class="column-2">Physician Assistants</td><td class="column-3">7,688</td><td class="column-4">8,981</td><td class="column-5">1,293</td><td class="column-6">17%</td><td class="column-7">0.95</td><td class="column-8">$43.21</td><td class="column-9">Master's degree</td>
	</tr>
	<tr class="row-17 odd">
		<td class="column-1">29-1123</td><td class="column-2">Physical Therapists</td><td class="column-3">13,383</td><td class="column-4">14,515</td><td class="column-5">1,132</td><td class="column-6">8%</td><td class="column-7">0.70</td><td class="column-8">$39.20</td><td class="column-9">Master's degree</td>
	</tr>
</tbody>
</table>
</em></p>
<p>Switching to the occupations that have grown the quickest:</p>
<p><em>
<table id="wp-table-reloaded-id-332-no-1" class="wp-table-reloaded wp-table-reloaded-id-332">
<thead>
	<tr class="row-1 odd">
		<th class="column-1">SOC Code</th><th class="column-2">Description</th><th class="column-3">2008 Jobs</th><th class="column-4">2012 Jobs</th><th class="column-5">Change</th><th class="column-6">% Change</th><th class="column-7">2012 National Location Quotient</th><th class="column-8">2011 Median Hourly Wage</th><th class="column-9">Education Level</th>
	</tr>
</thead>
<tfoot>
	<tr class="row-21 odd">
		<th colspan="9" class="column-1 colspan-9">Source: EMSI Covered Employment - 2012.1</th>
	</tr>
</tfoot>
<tbody class="row-hover">
	<tr class="row-2 even">
		<td class="column-1">47-4011</td><td class="column-2">Construction and Building Inspectors</td><td class="column-3">10,806</td><td class="column-4">16,546</td><td class="column-5">5,740</td><td class="column-6">53%</td><td class="column-7">1.00</td><td class="column-8">$32.82</td><td class="column-9">Work experience in a related occupation</td>
	</tr>
	<tr class="row-3 odd">
		<td class="column-1">29-1064</td><td class="column-2">Obstetricians and Gynecologists</td><td class="column-3">2,239</td><td class="column-4">3,071</td><td class="column-5">832</td><td class="column-6">37%</td><td class="column-7">1.24</td><td class="column-8">$86.46</td><td class="column-9">First professional degree</td>
	</tr>
	<tr class="row-4 even">
		<td class="column-1">21-1029</td><td class="column-2">Social Workers, All Other</td><td class="column-3">12,537</td><td class="column-4">16,965</td><td class="column-5">4,428</td><td class="column-6">35%</td><td class="column-7">1.62</td><td class="column-8">$26.79</td><td class="column-9">Bachelor's degree</td>
	</tr>
	<tr class="row-5 odd">
		<td class="column-1">29-1031</td><td class="column-2">Dietitians and Nutritionists</td><td class="column-3">5,686</td><td class="column-4">7,488</td><td class="column-5">1,802</td><td class="column-6">32%</td><td class="column-7">0.94</td><td class="column-8">$30.88</td><td class="column-9">Bachelor's degree</td>
	</tr>
	<tr class="row-6 even">
		<td class="column-1">13-1011</td><td class="column-2">Agents and Business Managers of Artists, Performers, and Athletes</td><td class="column-3">3,237</td><td class="column-4">4,114</td><td class="column-5">877</td><td class="column-6">27%</td><td class="column-7">2.65</td><td class="column-8">$37.51</td><td class="column-9">Bachelor's or higher degree, plus work experience</td>
	</tr>
	<tr class="row-7 odd">
		<td class="column-1">13-1061</td><td class="column-2">Emergency Management Specialists</td><td class="column-3">1,068</td><td class="column-4">1,334</td><td class="column-5">266</td><td class="column-6">25%</td><td class="column-7">0.77</td><td class="column-8">$37.10</td><td class="column-9">Work experience in a related occupation</td>
	</tr>
	<tr class="row-8 even">
		<td class="column-1">49-2093</td><td class="column-2">Electrical and Electronics Installers and Repairers, Transportation Equipment</td><td class="column-3">2,133</td><td class="column-4">2,636</td><td class="column-5">503</td><td class="column-6">24%</td><td class="column-7">1.13</td><td class="column-8">$25.98</td><td class="column-9">Postsecondary vocational award</td>
	</tr>
	<tr class="row-9 odd">
		<td class="column-1">29-1062</td><td class="column-2">Family and General Practitioners</td><td class="column-3">8,816</td><td class="column-4">10,683</td><td class="column-5">1,867</td><td class="column-6">21%</td><td class="column-7">0.86</td><td class="column-8">$74.53</td><td class="column-9">First professional degree</td>
	</tr>
	<tr class="row-10 even">
		<td class="column-1">29-1061</td><td class="column-2">Anesthesiologists</td><td class="column-3">3,301</td><td class="column-4">3,988</td><td class="column-5">687</td><td class="column-6">21%</td><td class="column-7">0.89</td><td class="column-8">$93.38</td><td class="column-9">First professional degree</td>
	</tr>
	<tr class="row-11 odd">
		<td class="column-1">17-2031</td><td class="column-2">Biomedical Engineers</td><td class="column-3">2,916</td><td class="column-4">3,513</td><td class="column-5">597</td><td class="column-6">20%</td><td class="column-7">1.72</td><td class="column-8">$42.87</td><td class="column-9">Bachelor's degree</td>
	</tr>
	<tr class="row-12 even">
		<td class="column-1">17-1021</td><td class="column-2">Cartographers and Photogrammetrists</td><td class="column-3">1,052</td><td class="column-4">1,246</td><td class="column-5">194</td><td class="column-6">18%</td><td class="column-7">0.83</td><td class="column-8">$29.39</td><td class="column-9">Bachelor's degree</td>
	</tr>
	<tr class="row-13 odd">
		<td class="column-1">29-1071</td><td class="column-2">Physician Assistants</td><td class="column-3">7,688</td><td class="column-4">8,981</td><td class="column-5">1,293</td><td class="column-6">17%</td><td class="column-7">0.95</td><td class="column-8">$43.21</td><td class="column-9">Master's degree</td>
	</tr>
	<tr class="row-14 even">
		<td class="column-1">49-2095</td><td class="column-2">Electrical and Electronics Repairers, Powerhouse, Substation, and Relay</td><td class="column-3">1,451</td><td class="column-4">1,694</td><td class="column-5">243</td><td class="column-6">17%</td><td class="column-7">0.60</td><td class="column-8">$38.04</td><td class="column-9">Postsecondary vocational award</td>
	</tr>
	<tr class="row-15 odd">
		<td class="column-1">19-1021</td><td class="column-2">Biochemists and Biophysicists</td><td class="column-3">4,512</td><td class="column-4">5,199</td><td class="column-5">687</td><td class="column-6">15%</td><td class="column-7">1.85</td><td class="column-8">$40.60</td><td class="column-9">Doctoral degree</td>
	</tr>
	<tr class="row-16 even">
		<td class="column-1">31-2011</td><td class="column-2">Occupational Therapist Assistants</td><td class="column-3">1,902</td><td class="column-4">2,188</td><td class="column-5">286</td><td class="column-6">15%</td><td class="column-7">0.67</td><td class="column-8">$28.38</td><td class="column-9">Associate's degree</td>
	</tr>
	<tr class="row-17 odd">
		<td class="column-1">29-1067</td><td class="column-2">Surgeons</td><td class="column-3">4,175</td><td class="column-4">4,795</td><td class="column-5">620</td><td class="column-6">15%</td><td class="column-7">0.92</td><td class="column-8">$94.68</td><td class="column-9">First professional degree</td>
	</tr>
	<tr class="row-18 even">
		<td class="column-1">29-1069</td><td class="column-2">Physicians and Surgeons, All Other</td><td class="column-3">21,118</td><td class="column-4">24,020</td><td class="column-5">2,902</td><td class="column-6">14%</td><td class="column-7">0.74</td><td class="column-8">$92.16</td><td class="column-9">First professional degree</td>
	</tr>
	<tr class="row-19 odd">
		<td class="column-1">31-2021</td><td class="column-2">Physical Therapist Assistants</td><td class="column-3">4,072</td><td class="column-4">4,626</td><td class="column-5">554</td><td class="column-6">14%</td><td class="column-7">0.59</td><td class="column-8">$27.66</td><td class="column-9">Associate's degree</td>
	</tr>
	<tr class="row-20 even">
		<td class="column-1">15-1081</td><td class="column-2">Network Systems and Data Communications Analysts</td><td class="column-3">26,741</td><td class="column-4">29,828</td><td class="column-5">3,087</td><td class="column-6">12%</td><td class="column-7">1.05</td><td class="column-8">$38.59</td><td class="column-9">Bachelor's degree</td>
	</tr>
</tbody>
</table>
</em></p>
<ul>
<li><strong>Construction &amp; building inspectors</strong> grew by 50%. What’s most surprising is that in a crowd of higher-ed-level jobs, this job requires only work experience in a related occupation.</li>
</ul>
<ul>
<li><strong>Emergency management specialists</strong> (25%) is the only other job here that takes merely work experience in a related occupation.</li>
</ul>
<ul>
<li><strong>Obstetricians &amp; gynecologists</strong> (37%), <strong>dietitians &amp; nutritionists</strong> (32%), <strong>family &amp; general practitioners</strong> (21%), and <strong>anesthesiologists</strong> (21%) are among the several healthcare jobs with the best proportionate growth.</li>
</ul>
<h4><strong>COMPELLING FOR CALIFORNIA<br />
</strong></h4>
<p>When we talk concentration, we’re basically talking <em>specialization</em>. Measured by location quotient (LQ), concentration tells us how unique and compelling a job is for that particular region.</p>
<ul>
<li>Quite predictably, the most concentrated job is <strong>entertainers &amp; performers, sports &amp; related workers</strong> (4.21 LQ).</li>
</ul>
<ul>
<li>Four of the jobs are related to arts, design, entertainment, sports, and media (SOC code 27). <strong>Costume attendants</strong> and <strong>agents &amp; business managers of artists, performers, and athletes </strong>could also join the group hug, though they are from different occupational categories.</li>
</ul>
<ul>
<li>Most of the highly concentrated jobs in California are in decline. Take a look at <strong>plasterers &amp; stucco masons</strong>, down almost 4,000 jobs (-31%).</li>
</ul>
<ul>
<li>The best-performing job on this list is a<strong>gents &amp; business managers of artists, performers, and athletes </strong>with $37.51/hour wages, 27% growth (877 new jobs), and 2.65 LQ.</li>
</ul>
<div>
<table id="wp-table-reloaded-id-333-no-1" class="wp-table-reloaded wp-table-reloaded-id-333">
<thead>
	<tr class="row-1 odd">
		<th class="column-1">SOC Code</th><th class="column-2">Description</th><th class="column-3">2008 Jobs</th><th class="column-4">2012 Jobs</th><th class="column-5">Change</th><th class="column-6">% Change</th><th class="column-7">2012 National Location Quotient</th><th class="column-8">2011 Median Hourly Wage</th><th class="column-9">Education Level</th>
	</tr>
</thead>
<tfoot>
	<tr class="row-18 even">
		<th colspan="9" class="column-1 colspan-9">Source: EMSI Covered Employment - 2012.1</th>
	</tr>
</tfoot>
<tbody class="row-hover">
	<tr class="row-2 even">
		<td class="column-1">27-2099</td><td class="column-2">Entertainers and Performers, Sports and Related Workers, All Other</td><td class="column-3">11,986</td><td class="column-4">11,663</td><td class="column-5">(323)</td><td class="column-6">(3%)</td><td class="column-7">4.21</td><td class="column-8">$13.50</td><td class="column-9">Long-term on-the-job training</td>
	</tr>
	<tr class="row-3 odd">
		<td class="column-1">53-7071</td><td class="column-2">Gas Compressor and Gas Pumping Station Operators</td><td class="column-3">2,041</td><td class="column-4">2,445</td><td class="column-5">404</td><td class="column-6">20%</td><td class="column-7">3.61</td><td class="column-8">$13.63</td><td class="column-9">Moderate-term on-the-job training</td>
	</tr>
	<tr class="row-4 even">
		<td class="column-1">51-6092</td><td class="column-2">Fabric and Apparel Patternmakers</td><td class="column-3">2,971</td><td class="column-4">2,306</td><td class="column-5">(665)</td><td class="column-6">(22%)</td><td class="column-7">3.57</td><td class="column-8">$21.95</td><td class="column-9">Long-term on-the-job training</td>
	</tr>
	<tr class="row-5 odd">
		<td class="column-1">45-2092</td><td class="column-2">Farmworkers and Laborers, Crop, Nursery, and Greenhouse</td><td class="column-3">252,778</td><td class="column-4">248,760</td><td class="column-5"> (4,018)</td><td class="column-6">(2%)</td><td class="column-7">3.55</td><td class="column-8">$8.89</td><td class="column-9">Short-term on-the-job training</td>
	</tr>
	<tr class="row-6 even">
		<td class="column-1">15-2099</td><td class="column-2">Mathematical Science Occupations, All Other</td><td class="column-3">1,124</td><td class="column-4">1,050</td><td class="column-5">(74)</td><td class="column-6">(7%)</td><td class="column-7">3.24</td><td class="column-8">$27.47</td><td class="column-9">Master's degree</td>
	</tr>
	<tr class="row-7 odd">
		<td class="column-1">27-4032</td><td class="column-2">Film and Video Editors</td><td class="column-3">6,538</td><td class="column-4">6,320</td><td class="column-5">(218)</td><td class="column-6">(3%)</td><td class="column-7">3.16</td><td class="column-8">$31.67</td><td class="column-9">Bachelor's degree</td>
	</tr>
	<tr class="row-8 even">
		<td class="column-1">39-3019</td><td class="column-2">Gaming Service Workers, All Other</td><td class="column-3">4,361</td><td class="column-4">4,029</td><td class="column-5">(332)</td><td class="column-6">(8%)</td><td class="column-7">3.11</td><td class="column-8">$11.94</td><td class="column-9">Moderate-term on-the-job training</td>
	</tr>
	<tr class="row-9 odd">
		<td class="column-1">27-1014</td><td class="column-2">Multi-Media Artists and Animators</td><td class="column-3">9,860</td><td class="column-4">9,642</td><td class="column-5">(218)</td><td class="column-6">(2%)</td><td class="column-7">2.80</td><td class="column-8">$33.86</td><td class="column-9">Bachelor's degree</td>
	</tr>
	<tr class="row-10 even">
		<td class="column-1">39-3092</td><td class="column-2">Costume Attendants</td><td class="column-3">1,596</td><td class="column-4">1,632</td><td class="column-5">36</td><td class="column-6">2%</td><td class="column-7">2.77</td><td class="column-8">$10.63</td><td class="column-9">Short-term on-the-job training</td>
	</tr>
	<tr class="row-11 odd">
		<td class="column-1">51-6061</td><td class="column-2">Textile Bleaching and Dyeing Machine Operators and Tenders</td><td class="column-3">3,755</td><td class="column-4">3,230</td><td class="column-5">(525)</td><td class="column-6">(14%)</td><td class="column-7">2.66</td><td class="column-8">$9.22</td><td class="column-9">Moderate-term on-the-job training</td>
	</tr>
	<tr class="row-12 even">
		<td class="column-1">13-1011</td><td class="column-2">Agents and Business Managers of Artists, Performers, and Athletes</td><td class="column-3">3,237</td><td class="column-4">4,114</td><td class="column-5">877</td><td class="column-6">27%</td><td class="column-7">2.65</td><td class="column-8">$37.51</td><td class="column-9">Bachelor's or higher degree, plus work experience</td>
	</tr>
	<tr class="row-13 odd">
		<td class="column-1">47-2161</td><td class="column-2">Plasterers and Stucco Masons</td><td class="column-3">12,241</td><td class="column-4">8,424</td><td class="column-5"> (3,817)</td><td class="column-6">(31%)</td><td class="column-7">2.63</td><td class="column-8">$21.20</td><td class="column-9">Long-term on-the-job training</td>
	</tr>
	<tr class="row-14 even">
		<td class="column-1">27-4099</td><td class="column-2">Media and Communication Equipment Workers, All Other</td><td class="column-3">5,666</td><td class="column-4">5,546</td><td class="column-5">(120)</td><td class="column-6">(2%)</td><td class="column-7">2.58</td><td class="column-8">$25.58</td><td class="column-9">Moderate-term on-the-job training</td>
	</tr>
	<tr class="row-15 odd">
		<td class="column-1">47-2142</td><td class="column-2">Paperhangers</td><td class="column-3">1,902</td><td class="column-4">1,230</td><td class="column-5">(672)</td><td class="column-6">(35%)</td><td class="column-7">2.52</td><td class="column-8">$20.34</td><td class="column-9">Moderate-term on-the-job training</td>
	</tr>
	<tr class="row-16 even">
		<td class="column-1">19-3041</td><td class="column-2">Sociologists</td><td class="column-3">1,194</td><td class="column-4">1,221</td><td class="column-5">27</td><td class="column-6">2%</td><td class="column-7">2.41</td><td class="column-8">$34.82</td><td class="column-9">Master's degree</td>
	</tr>
	<tr class="row-17 odd">
		<td class="column-1">45-1011</td><td class="column-2">First-Line Supervisors/Managers of Farming, Fishing, and Forestry Workers</td><td class="column-3">12,362</td><td class="column-4">12,095</td><td class="column-5">(267)</td><td class="column-6">(2%)</td><td class="column-7">2.41</td><td class="column-8">$16.46</td><td class="column-9">N/A</td>
	</tr>
</tbody>
</table>
</div>
<h4><strong>Conclusion</strong></h4>
<p>As far as wages and growth are concerned, most of California’s top jobs are in healthcare — <strong>particularly physicians &amp; surgeons</strong>, <strong>family &amp; general practitioners</strong>, and <strong>obstetricians &amp; gynecologists</strong>. Non-healthcare jobs with growth and decent money on their side are <strong>construction &amp; building inspectors</strong> and <strong>network systems &amp; data communications analysts</strong>. As for concentration, it probably isn’t a good time to be an entertainer or performer, but it might be fun to find one and become their <strong>agent or business manager</strong>.</p>
<p><em><strong>If you would like to learn more, please <a href="http://www.economicmodeling.com/contact/">contact us</a>. Find out more about EMSI and our data <a href="http://www.economicmodeling.com/2012/04/24/2012/04/16/about/">here</a>. You can reach us via Twitter <a href="http://twitter.com/#%21/DesktopEcon">@DesktopEcon</a> or by emailing Rob Sentz (<a href="mailto:jwright@economicmodeling.com">rob@economicmodeling.com</a>).</strong></em></p>
<p>&nbsp;</p>
]]></content:encoded>
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		</item>
		<item>
		<title>Industry Report: The Federal Government&#8217;s Civilian Workforce</title>
		<link>http://www.economicmodeling.com/2012/05/14/industry-report-the-federal-governments-civilian-workforce/</link>
		<comments>http://www.economicmodeling.com/2012/05/14/industry-report-the-federal-governments-civilian-workforce/#comments</comments>
		<pubDate>Mon, 14 May 2012 19:05:45 +0000</pubDate>
		<dc:creator>Gwen M. Burrow</dc:creator>
				<category><![CDATA[Data & Analysis]]></category>
		<category><![CDATA[Industries]]></category>
		<category><![CDATA[employment]]></category>
		<category><![CDATA[emsi data]]></category>
		<category><![CDATA[federal government]]></category>
		<category><![CDATA[jobs]]></category>

		<guid isPermaLink="false">http://www.economicmodeling.com/?p=45051</guid>
		<description><![CDATA[Here we explore how much the federal government's civilian workforce has grown since the recession in 2008.]]></description>
			<content:encoded><![CDATA[<p><a href="http://www.economicmodeling.com/wp-content/uploads/emsigovtbeta12.jpg"><img class="alignright size-full wp-image-45070" src="http://www.economicmodeling.com/wp-content/uploads/emsigovtbeta12-e1336755257546.jpg" alt="" width="300" height="300" /></a>Our latest <a href="http://www.economicmodeling.com/2012/05/03/emsi-data-2012-1-final/">data release</a> now makes it possible to easily break out <strong>&#8220;federal civilian workers, except postal service&#8221;</strong> (NAICS 901199) for any region in the nation. Simply put, we now have less aggregated data for federal employment.</p>
<p>And since we all hear a lot about how the federal sector is one of the few that has actually grown post-recession, we thought it would be good to use this data set to produce a quick post showing the sector&#8217;s growth since 2008.</p>
<p>To assemble this analysis, we use <a href="http://www.economicmodeling.com/analyst/">Analyst</a>, EMSI’s web-based labor market analysis tool which contains detailed information on over 1,100 industries and 800 occupations. <em>Please note that the preliminary 2012 data is still a projection.</em></p>
<h4>Growth</h4>
<p>Since 2008, employment for civilian jobs in the federal government have shot up by an impressive 20%, which is roughly 500,000 new jobs. Current employment is 2.46 million jobs. See the chart below for the big jump.</p>
<p><a href="http://www.economicmodeling.com/wp-content/uploads/regional-trends.jpg"><img class="alignnone size-full wp-image-45054" src="http://www.economicmodeling.com/wp-content/uploads/regional-trends.jpg" alt="" width="615" height="456" /></a></p>
<h4>Regional Breakdown</h4>
<p>Not surprisingly, <strong>Washington D.C.</strong> (213,417) employs the most. <strong>California</strong> is second with 208,000 jobs. After that, <strong>Virginia</strong> (185,541) and <strong>Texas</strong> (178,445) have the most jobs. The states with the least are <strong>Delaware</strong> (4,474), <strong>New Hampshire</strong> (5,000), and <strong>Vermont</strong> (5,458).</p>
<p>Our previous list might not be that surprising, so now let&#8217;s look at the states that have had the most growth. With 37% growth since 2008, <strong>Michigan</strong> is the fastest-growing, which likely has to do with GM. After that comes <strong>Indiana</strong> (34%), <strong>Kansas</strong> (33%), and <strong>New Hampshire</strong> (30%). The states that have grown the least are <strong>Utah</strong> (8%), <strong>Alaska</strong> (8%), and <strong>Idaho</strong> (9%).</p>
<p>Another interesting angle is to look at the industry’s concentration, which indicates &#8220;specialization.&#8221; To do this we will use location quotient or LQ. The higher the LQ, the more compelling the industry is for the state. Washington D.C., of course, owns the highest concentration of civilian federal workers (LQ 15.7). Basically, federal employment in DC is nearly 16 times greater than the typical region. After that comes <strong>Maryland</strong> (3.53 times greater than the typical region), <strong>Hawaii</strong> (2.69), <strong>Alaska</strong> (2.49), and <strong>Virginia</strong> (2.59). Low concentration is found in <strong>Connecticut</strong> (0.37), <strong>Wisconsin</strong> (0.39), <strong>New Hampshire</strong> (0.43), and <strong>Iowa</strong> (0.43).</p>
<p>Also, note that the national average industry earning level is $76K — very high for an industry sector. <strong>DC</strong> and <strong>Maryland</strong> really stand out: both average nearly $100K per year.</p>
<p>Here is a table showing the states ordered by total employment.</p>
<p><em>
<table id="wp-table-reloaded-id-329-no-1" class="wp-table-reloaded wp-table-reloaded-id-329">
<thead>
	<tr class="row-1 odd">
		<th class="column-1">State </th><th class="column-2">2008 Jobs</th><th class="column-3">2012 Jobs</th><th class="column-4">% Change</th><th class="column-5">2011 Avg. Annual Wage</th><th class="column-6">2011 National LQ</th>
	</tr>
</thead>
<tbody class="row-hover">
	<tr class="row-2 even">
		<td class="column-1">District of Columbia</td><td class="column-2">191,384</td><td class="column-3">213,417</td><td class="column-4">12%</td><td class="column-5">$98,035 </td><td class="column-6">15.69</td>
	</tr>
	<tr class="row-3 odd">
		<td class="column-1">California</td><td class="column-2">169,800</td><td class="column-3">207,989</td><td class="column-4">22%</td><td class="column-5">$76,840 </td><td class="column-6">0.74</td>
	</tr>
	<tr class="row-4 even">
		<td class="column-1">Virginia</td><td class="column-2">157,048</td><td class="column-3">185,541</td><td class="column-4">18%</td><td class="column-5">$87,429 </td><td class="column-6">2.59</td>
	</tr>
	<tr class="row-5 odd">
		<td class="column-1">Texas</td><td class="column-2">143,523</td><td class="column-3">178,445</td><td class="column-4">24%</td><td class="column-5">$71,510 </td><td class="column-6">0.88</td>
	</tr>
	<tr class="row-6 even">
		<td class="column-1">Maryland</td><td class="column-2">145,241</td><td class="column-3">173,221</td><td class="column-4">19%</td><td class="column-5">$93,734 </td><td class="column-6">3.53</td>
	</tr>
	<tr class="row-7 odd">
		<td class="column-1">Florida</td><td class="column-2">88,678</td><td class="column-3">109,895</td><td class="column-4">24%</td><td class="column-5">$70,303 </td><td class="column-6">0.80</td>
	</tr>
	<tr class="row-8 even">
		<td class="column-1">Georgia</td><td class="column-2">77,788</td><td class="column-3">95,451</td><td class="column-4">23%</td><td class="column-5">$71,384 </td><td class="column-6">1.33</td>
	</tr>
	<tr class="row-9 odd">
		<td class="column-1">New York</td><td class="column-2">72,308</td><td class="column-3">88,501</td><td class="column-4">22%</td><td class="column-5">$75,699 </td><td class="column-6">0.55</td>
	</tr>
	<tr class="row-10 even">
		<td class="column-1">Pennsylvania</td><td class="column-2">68,402</td><td class="column-3">80,401</td><td class="column-4">18%</td><td class="column-5">$71,152 </td><td class="column-6">0.77</td>
	</tr>
	<tr class="row-11 odd">
		<td class="column-1">Washington</td><td class="column-2">55,824</td><td class="column-3">65,663</td><td class="column-4">18%</td><td class="column-5">$72,197 </td><td class="column-6">1.18</td>
	</tr>
	<tr class="row-12 even">
		<td class="column-1">Ohio</td><td class="column-2">48,096</td><td class="column-3">62,137</td><td class="column-4">29%</td><td class="column-5">$74,014 </td><td class="column-6">0.65</td>
	</tr>
	<tr class="row-13 odd">
		<td class="column-1">Illinois</td><td class="column-2">50,490</td><td class="column-3">60,563</td><td class="column-4">20%</td><td class="column-5">$77,301 </td><td class="column-6">0.57</td>
	</tr>
	<tr class="row-14 even">
		<td class="column-1">North Carolina</td><td class="column-2">44,621</td><td class="column-3">57,923</td><td class="column-4">30%</td><td class="column-5">$63,963 </td><td class="column-6">0.77</td>
	</tr>
	<tr class="row-15 odd">
		<td class="column-1">Alabama</td><td class="column-2">42,750</td><td class="column-3">53,521</td><td class="column-4">25%</td><td class="column-5">$77,138 </td><td class="column-6">1.52</td>
	</tr>
	<tr class="row-16 even">
		<td class="column-1">Arizona</td><td class="column-2">42,406</td><td class="column-3">52,937</td><td class="column-4">25%</td><td class="column-5">$67,684 </td><td class="column-6">1.14</td>
	</tr>
	<tr class="row-17 odd">
		<td class="column-1">Missouri</td><td class="column-2">41,329</td><td class="column-3">48,460</td><td class="column-4">17%</td><td class="column-5">$64,824 </td><td class="column-6">0.97</td>
	</tr>
	<tr class="row-18 even">
		<td class="column-1">Colorado</td><td class="column-2">39,660</td><td class="column-3">47,646</td><td class="column-4">20%</td><td class="column-5">$73,927 </td><td class="column-6">1.10</td>
	</tr>
	<tr class="row-19 odd">
		<td class="column-1">Oklahoma</td><td class="column-2">37,065</td><td class="column-3">45,011</td><td class="column-4">21%</td><td class="column-5">$64,826 </td><td class="column-6">1.52</td>
	</tr>
	<tr class="row-20 even">
		<td class="column-1">Tennessee</td><td class="column-2">36,150</td><td class="column-3">40,903</td><td class="column-4">13%</td><td class="column-5">$73,974 </td><td class="column-6">0.84</td>
	</tr>
	<tr class="row-21 odd">
		<td class="column-1">New Jersey</td><td class="column-2">31,939</td><td class="column-3">39,924</td><td class="column-4">25%</td><td class="column-5">$83,922 </td><td class="column-6">0.56</td>
	</tr>
	<tr class="row-22 even">
		<td class="column-1">Michigan</td><td class="column-2">27,423</td><td class="column-3">37,468</td><td class="column-4">37%</td><td class="column-5">$76,569 </td><td class="column-6">0.51</td>
	</tr>
	<tr class="row-23 odd">
		<td class="column-1">Kentucky</td><td class="column-2">29,239</td><td class="column-3">35,056</td><td class="column-4">20%</td><td class="column-5">$60,587 </td><td class="column-6">1.02</td>
	</tr>
	<tr class="row-24 even">
		<td class="column-1">Massachusetts</td><td class="column-2">29,073</td><td class="column-3">34,866</td><td class="column-4">20%</td><td class="column-5">$78,726 </td><td class="column-6">0.57</td>
	</tr>
	<tr class="row-25 odd">
		<td class="column-1">Hawaii</td><td class="column-2">29,512</td><td class="column-3">33,055</td><td class="column-4">12%</td><td class="column-5">$68,537 </td><td class="column-6">2.69</td>
	</tr>
	<tr class="row-26 even">
		<td class="column-1">Utah</td><td class="column-2">29,559</td><td class="column-3">31,835</td><td class="column-4">8%</td><td class="column-5">$64,164 </td><td class="column-6">1.40</td>
	</tr>
	<tr class="row-27 odd">
		<td class="column-1">New Mexico</td><td class="column-2">26,898</td><td class="column-3">31,294</td><td class="column-4">16%</td><td class="column-5">$68,630 </td><td class="column-6">2.04</td>
	</tr>
	<tr class="row-28 even">
		<td class="column-1">Indiana</td><td class="column-2">22,905</td><td class="column-3">30,758</td><td class="column-4">34%</td><td class="column-5">$66,985 </td><td class="column-6">0.59</td>
	</tr>
	<tr class="row-29 odd">
		<td class="column-1">South Carolina</td><td class="column-2">22,099</td><td class="column-3">28,481</td><td class="column-4">29%</td><td class="column-5">$62,275 </td><td class="column-6">0.82</td>
	</tr>
	<tr class="row-30 even">
		<td class="column-1">Louisiana</td><td class="column-2">22,328</td><td class="column-3">27,199</td><td class="column-4">22%</td><td class="column-5">$67,991 </td><td class="column-6">0.73</td>
	</tr>
	<tr class="row-31 odd">
		<td class="column-1">Oregon</td><td class="column-2">21,462</td><td class="column-3">23,710</td><td class="column-4">10%</td><td class="column-5">$69,761 </td><td class="column-6">0.77</td>
	</tr>
	<tr class="row-32 even">
		<td class="column-1">Mississippi</td><td class="column-2">21,130</td><td class="column-3">23,457</td><td class="column-4">11%</td><td class="column-5">$64,912 </td><td class="column-6">1.10</td>
	</tr>
	<tr class="row-33 odd">
		<td class="column-1">Minnesota</td><td class="column-2">18,203</td><td class="column-3">21,809</td><td class="column-4">20%</td><td class="column-5">$70,989 </td><td class="column-6">0.44</td>
	</tr>
	<tr class="row-34 even">
		<td class="column-1">Kansas</td><td class="column-2">16,299</td><td class="column-3">21,599</td><td class="column-4">33%</td><td class="column-5">$65,593 </td><td class="column-6">0.85</td>
	</tr>
	<tr class="row-35 odd">
		<td class="column-1">West Virginia</td><td class="column-2">18,066</td><td class="column-3">21,165</td><td class="column-4">17%</td><td class="column-5">$70,538 </td><td class="column-6">1.57</td>
	</tr>
	<tr class="row-36 even">
		<td class="column-1">Wisconsin</td><td class="column-2">15,555</td><td class="column-3">20,013</td><td class="column-4">29%</td><td class="column-5">$62,972 </td><td class="column-6">0.39</td>
	</tr>
	<tr class="row-37 odd">
		<td class="column-1">Arkansas</td><td class="column-2">14,907</td><td class="column-3">17,231</td><td class="column-4">16%</td><td class="column-5">$64,764 </td><td class="column-6">0.79</td>
	</tr>
	<tr class="row-38 even">
		<td class="column-1">Alaska</td><td class="column-2">15,125</td><td class="column-3">16,379</td><td class="column-4">8%</td><td class="column-5">$71,441 </td><td class="column-6">2.49</td>
	</tr>
	<tr class="row-39 odd">
		<td class="column-1">Nevada</td><td class="column-2">12,411</td><td class="column-3">14,968</td><td class="column-4">21%</td><td class="column-5">$65,559 </td><td class="column-6">0.70</td>
	</tr>
	<tr class="row-40 even">
		<td class="column-1">Nebraska</td><td class="column-2">10,746</td><td class="column-3">13,301</td><td class="column-4">24%</td><td class="column-5">$63,891 </td><td class="column-6">0.74</td>
	</tr>
	<tr class="row-41 odd">
		<td class="column-1">Montana</td><td class="column-2">11,057</td><td class="column-3">12,727</td><td class="column-4">15%</td><td class="column-5">$61,553 </td><td class="column-6">1.54</td>
	</tr>
	<tr class="row-42 even">
		<td class="column-1">Maine</td><td class="column-2">10,549</td><td class="column-3">12,625</td><td class="column-4">20%</td><td class="column-5">$69,817 </td><td class="column-6">1.13</td>
	</tr>
	<tr class="row-43 odd">
		<td class="column-1">Iowa</td><td class="column-2">9,441</td><td class="column-3">12,024</td><td class="column-4">27%</td><td class="column-5">$62,117 </td><td class="column-6">0.43</td>
	</tr>
	<tr class="row-44 even">
		<td class="column-1">Connecticut</td><td class="column-2">9,236</td><td class="column-3">11,428</td><td class="column-4">24%</td><td class="column-5">$76,004 </td><td class="column-6">0.37</td>
	</tr>
	<tr class="row-45 odd">
		<td class="column-1">Idaho</td><td class="column-2">10,290</td><td class="column-3">11,175</td><td class="column-4">9%</td><td class="column-5">$63,601 </td><td class="column-6">0.96</td>
	</tr>
	<tr class="row-46 even">
		<td class="column-1">South Dakota</td><td class="column-2">8,910</td><td class="column-3">10,146</td><td class="column-4">14%</td><td class="column-5">$59,684 </td><td class="column-6">1.33</td>
	</tr>
	<tr class="row-47 odd">
		<td class="column-1">North Dakota</td><td class="column-2">7,643</td><td class="column-3">8,416</td><td class="column-4">10%</td><td class="column-5">$58,724 </td><td class="column-6">1.13</td>
	</tr>
	<tr class="row-48 even">
		<td class="column-1">Rhode Island</td><td class="column-2">6,867</td><td class="column-3">8,195</td><td class="column-4">19%</td><td class="column-5">$82,348 </td><td class="column-6">0.95</td>
	</tr>
	<tr class="row-49 odd">
		<td class="column-1">Wyoming</td><td class="column-2">6,178</td><td class="column-3">7,135</td><td class="column-4">15%</td><td class="column-5">$57,870 </td><td class="column-6">1.29</td>
	</tr>
	<tr class="row-50 even">
		<td class="column-1">Vermont</td><td class="column-2">4,205</td><td class="column-3">5,458</td><td class="column-4">30%</td><td class="column-5">$69,777 </td><td class="column-6">0.95</td>
	</tr>
	<tr class="row-51 odd">
		<td class="column-1">New Hampshire</td><td class="column-2">3,842</td><td class="column-3">5,000</td><td class="column-4">30%</td><td class="column-5">$83,458 </td><td class="column-6">0.43</td>
	</tr>
	<tr class="row-52 even">
		<td class="column-1">Delaware</td><td class="column-2">3,490</td><td class="column-3">4,474</td><td class="column-4">28%</td><td class="column-5">$66,172 </td><td class="column-6">0.58</td>
	</tr>
</tbody>
</table>
</em></p>
<h4>Staffing Patterns</h4>
<p>Seven of the top 13 most common occupations in the federal government are related to business and financial operations (SOC 13). The top occupation is <strong>business operations specialists</strong>, which is 7.8% of the industry. <strong>Compliance officers</strong> (3.9%), <strong>information &amp; record clerks</strong> (3.4%), and <strong>registered nurses</strong> (3.2%) follow next.</p>
<p>The most commonly reported education level for the most common occupation tends to vary pretty widely. We get everything from short-term on-the-job training (<strong>information &amp; record clerks</strong>) to first professional degree (<strong>lawyers</strong>).</p>
<p><em>
<table id="wp-table-reloaded-id-327-no-1" class="wp-table-reloaded wp-table-reloaded-id-327">
<thead>
	<tr class="row-1 odd">
		<th class="column-1">SOC Code</th><th class="column-2">Occupation</th><th class="column-3">Employed in Industry (2008)</th><th class="column-4">Employed in Industry (2012)</th><th class="column-5">Change</th><th class="column-6">% Change</th><th class="column-7">% of the Total Jobs in Industry (2011)</th><th class="column-8">2011 Median Hourly Wage</th><th class="column-9">Education Level</th>
	</tr>
</thead>
<tbody class="row-hover">
	<tr class="row-2 even">
		<td class="column-1">13-1199</td><td class="column-2">Business Operations Specialists, All Other</td><td class="column-3">166,527</td><td class="column-4">193,841</td><td class="column-5">27,314</td><td class="column-6">16%</td><td class="column-7">7.8%</td><td class="column-8">$29.27</td><td class="column-9">Bachelor's degree</td>
	</tr>
	<tr class="row-3 odd">
		<td class="column-1">13-1041</td><td class="column-2">Compliance Officers, Except Agriculture, Construction, Health and Safety, and Transportation</td><td class="column-3">76,526</td><td class="column-4">98,705</td><td class="column-5">22,179</td><td class="column-6">29%</td><td class="column-7">3.9%</td><td class="column-8">$24.12</td><td class="column-9">Long-term on-the-job training</td>
	</tr>
	<tr class="row-4 even">
		<td class="column-1">43-4199</td><td class="column-2">Information and Record Clerks, All Other</td><td class="column-3">78,201</td><td class="column-4">83,300</td><td class="column-5">5,099</td><td class="column-6">7%</td><td class="column-7">3.4%</td><td class="column-8">$17.19</td><td class="column-9">Short-term on-the-job training</td>
	</tr>
	<tr class="row-5 odd">
		<td class="column-1">29-1111</td><td class="column-2">Registered Nurses</td><td class="column-3">66,558</td><td class="column-4">79,463</td><td class="column-5">12,905</td><td class="column-6">19%</td><td class="column-7">3.2%</td><td class="column-8">$31.15</td><td class="column-9">Associate's degree</td>
	</tr>
	<tr class="row-6 even">
		<td class="column-1">13-1111</td><td class="column-2">Management Analysts</td><td class="column-3">53,651</td><td class="column-4">62,797</td><td class="column-5">9,146</td><td class="column-6">17%</td><td class="column-7">2.5%</td><td class="column-8">$36.35</td><td class="column-9">Bachelor's or higher degree, plus work experience</td>
	</tr>
	<tr class="row-7 odd">
		<td class="column-1">15-1099</td><td class="column-2">Computer Specialists, All Other</td><td class="column-3">52,662</td><td class="column-4">62,071</td><td class="column-5">9,409</td><td class="column-6">18%</td><td class="column-7">2.5%</td><td class="column-8">$37.25</td><td class="column-9">Associate's degree</td>
	</tr>
	<tr class="row-8 even">
		<td class="column-1">11-9199</td><td class="column-2">Managers, All Other</td><td class="column-3">44,123</td><td class="column-4">55,448</td><td class="column-5">11,325</td><td class="column-6">26%</td><td class="column-7">2.2%</td><td class="column-8">$44.16</td><td class="column-9">Work experience in a related occupation</td>
	</tr>
	<tr class="row-9 odd">
		<td class="column-1">13-2011</td><td class="column-2">Accountants and Auditors</td><td class="column-3">37,012</td><td class="column-4">44,824</td><td class="column-5">7,812</td><td class="column-6">21%</td><td class="column-7">1.8%</td><td class="column-8">$29.16</td><td class="column-9">Bachelor's degree</td>
	</tr>
	<tr class="row-10 even">
		<td class="column-1">13-1031</td><td class="column-2">Claims Adjusters, Examiners, and Investigators</td><td class="column-3">32,765</td><td class="column-4">40,103</td><td class="column-5">7,338</td><td class="column-6">22%</td><td class="column-7">1.6%</td><td class="column-8">$27.42</td><td class="column-9">Long-term on-the-job training</td>
	</tr>
	<tr class="row-11 odd">
		<td class="column-1">13-1079</td><td class="column-2">Human Resources, Training, and Labor Relations Specialists, All Other</td><td class="column-3">31,548</td><td class="column-4">39,842</td><td class="column-5">8,294</td><td class="column-6">26%</td><td class="column-7">1.6%</td><td class="column-8">$27.17</td><td class="column-9">Bachelor's degree</td>
	</tr>
	<tr class="row-12 even">
		<td class="column-1">13-1023</td><td class="column-2">Purchasing Agents, Except Wholesale, Retail, and Farm Products</td><td class="column-3">31,799</td><td class="column-4">39,307</td><td class="column-5">7,508</td><td class="column-6">24%</td><td class="column-7">1.6%</td><td class="column-8">$26.54</td><td class="column-9">Long-term on-the-job training</td>
	</tr>
	<tr class="row-13 odd">
		<td class="column-1">23-1011</td><td class="column-2">Lawyers</td><td class="column-3">32,402</td><td class="column-4">38,408</td><td class="column-5">6,006</td><td class="column-6">19%</td><td class="column-7">1.5%</td><td class="column-8">$55.08</td><td class="column-9">First professional degree</td>
	</tr>
	<tr class="row-14 even">
		<td class="column-1">33-3021</td><td class="column-2">Detectives and Criminal Investigators</td><td class="column-3">29,695</td><td class="column-4">38,743</td><td class="column-5">9,048</td><td class="column-6">30%</td><td class="column-7">1.5%</td><td class="column-8">$30.53</td><td class="column-9">Work experience in a related occupation</td>
	</tr>
</tbody>
</table>
</em></p>
<h4>Conclusion</h4>
<p>The biggest takeaway from all of this is that while most of the economy has suffered, the federal government has really bulked up. According to EMSI&#8217;s employment databases, jobs across all sectors have declined by 3% from 2008 to today — at the same time that the federal government has boosted civilian employment by 20%. This has certainly been good for the folks that have those jobs, but the fed isn&#8217;t really a &#8220;producer.&#8221; We look forward to the day when employment growth in the other sectors outpaces the federal sector.</p>
<p>Also, the average pay for these jobs seems quite high. It might be good to produce some more analysis around that. For more information, <a href="http://economix.blogs.nytimes.com/2012/01/30/federal-pay-vs-private-sector-compensation/">here is a comparison</a> that Annie Lowrey did over at the NYT.</p>
<p><em><strong>If you would like to learn more, please <a href="http://www.economicmodeling.com/contact/">contact us</a>. Find out more about EMSI and our data <a href="http://www.economicmodeling.com/2012/04/24/2012/04/16/about/">here</a>. You can reach us via Twitter <a href="http://twitter.com/#%21/DesktopEcon">@DesktopEcon</a> or by emailing Rob Sentz (<a href="mailto:jwright@economicmodeling.com">rob@economicmodeling.com</a>).</strong></em></p>
]]></content:encoded>
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		</item>
		<item>
		<title>Employment Comparison of Public and Private Higher Ed Institutions</title>
		<link>http://www.economicmodeling.com/2012/05/11/employment-comparison-of-public-and-private-higher-ed-institutions/</link>
		<comments>http://www.economicmodeling.com/2012/05/11/employment-comparison-of-public-and-private-higher-ed-institutions/#comments</comments>
		<pubDate>Fri, 11 May 2012 22:53:20 +0000</pubDate>
		<dc:creator>Rob Sentz</dc:creator>
				<category><![CDATA[Data & Analysis]]></category>
		<category><![CDATA[Education]]></category>
		<category><![CDATA[Industries]]></category>
		<category><![CDATA[employment]]></category>
		<category><![CDATA[emsi data]]></category>
		<category><![CDATA[private colleges and universities]]></category>
		<category><![CDATA[public college and universities]]></category>

		<guid isPermaLink="false">http://www.economicmodeling.com/?p=45012</guid>
		<description><![CDATA[Despite complaints of trimmed budgets colleges and universities seem to have no trouble adding workers. Eastern states have the highest concentration and pay, but the western states seem to be growing at a quicker pace.]]></description>
			<content:encoded><![CDATA[<p><a href="http://www.economicmodeling.com/wp-content/uploads/teaching-color-block.jpg"><img class="size-full wp-image-45163 alignright" style="margin: 2px 5px" src="http://www.economicmodeling.com/wp-content/uploads/teaching-color-block-e1336775978656.jpg" alt="" width="150" height="150" /></a>In a <a href="http://www.economicmodeling.com/2012/05/11/job-growth-at-public-colleges-and-universities/">previous post</a> we discussed employment growth from 2001 to 2012 at public colleges and universities. In this post we will compare this growth to what happened at private colleges and universities during the same time period.</p>
<h4>GROWTH TRENDS</h4>
<p>From 2001-2012, jobs at public colleges and universities grew by 12.8%, which translates to 360,000 new jobs. Public higher ed institutions account for an estimated 3.1 million jobs. Employment at private colleges and universities during that same time period grew by 32.7%, which translates to 308,000 new jobs. Private institutions account for an estimated 1.2 million jobs.</p>
<p>Below we have charted that growth. Notice how the recession hasn&#8217;t really dampened the growth in either sector.</p>
<h4><a href="http://www.economicmodeling.com/wp-content/uploads/ppedit1.png"><img class="alignnone size-full wp-image-45154" src="http://www.economicmodeling.com/wp-content/uploads/ppedit1-e1336775806372.png" alt="" width="640" height="219" /></a></h4>
<h4>EMPLOYMENT TRENDS</h4>
<p>In our previous post we noted that the staffing pattern for public colleges and universities:</p>
<ul>
<li><strong>Teachers/professors</strong> – 22.5% of the total industry or nearly 700,000 workers</li>
<li><strong>Office clerks</strong> – nearly 10% of the total industry or 300,000 workers</li>
<li><strong>Secretaries and executive secretaries – </strong>just over 9% of the total sector or 430,00 workers</li>
<li><strong>Janitors</strong> – 4.4% or 137,000 workers</li>
</ul>
<p>Private institutions are similar. Teachers and professors make up a slightly higher percentage at private colleges and administrative staff makes up a lower percentage. See the table below.</p>
<h4><a href="http://www.economicmodeling.com/wp-content/uploads/privatestaffingpattern.png"><img class="alignnone size-full wp-image-45048" src="http://www.economicmodeling.com/wp-content/uploads/privatestaffingpattern-e1336752391874.png" alt="" width="640" height="215" /></a></h4>
<h4>Geographic Comparison</h4>
<ul>
<li>The largest state for public institutions is California, which employs about 390,000. When it comes to private institutions, <strong>New York</strong> is first with 178,000 jobs, followed by <strong>California</strong> with 124,000 jobs.</li>
<li>The public colleges/universities with the most employment growth were states like Wyoming, North Dakota, and quite a few other western states. We see somewhat similar results for the private counterparts. <strong>Arizona</strong>, <strong>Wyoming</strong>, <strong>Nevada,</strong> and <strong>Idaho</strong> all grew by more than 100% since 2001. Arizona&#8217;s extremely high growth is likely due to University of Phoenix. <strong>Florida&#8217;s</strong> employment growth was also quite high at 95%.</li>
<li>States with the highest per capita employment in private institutions are Washington, D.C. (at nearly 5 times the concentration of a typical state), <strong>Massachusetts</strong> (3.34), <strong>Rhode Island</strong> (2.86), <strong>Pennsylvania</strong> (2.47), <strong>New York</strong> (2. 30), <strong>Vermont</strong> (2.12) and <strong>New Hampshire</strong> (2.06).<br />
<strong></strong></li>
<li><strong>Massachusetts</strong>, <strong>Connecticut</strong>, and <strong>Maryland</strong> have the highest pay. All average over $60,000 per year. For public institutions, D.C. was the leader in pay.</li>
<li><strong>Missouri</strong> was the only state to see employment decline at private institutions since 2001. Every other state showed growth.</li>
</ul>
<p>See the table below for full details.</p>

<table id="wp-table-reloaded-id-325-no-1" class="wp-table-reloaded wp-table-reloaded-id-325">
<thead>
	<tr class="row-1 odd">
		<th class="column-1">State Name</th><th class="column-2">2001 Jobs</th><th class="column-3">2012 Jobs</th><th class="column-4">% Change</th><th class="column-5">2011 Avg. Annual Wage</th><th class="column-6">2001 National Location Quotient</th>
	</tr>
</thead>
<tfoot>
	<tr class="row-53 odd">
		<th colspan="6" class="column-1 colspan-6">EMSI COVERED EMPLOYMENT, 2012.1</th>
	</tr>
</tfoot>
<tbody class="row-hover">
	<tr class="row-2 even">
		<td class="column-1">Alabama</td><td class="column-2">5,842</td><td class="column-3">6,750</td><td class="column-4">16%</td><td class="column-5">$38,045</td><td class="column-6">0.43</td>
	</tr>
	<tr class="row-3 odd">
		<td class="column-1">Alaska</td><td class="column-2">624</td><td class="column-3">681</td><td class="column-4">9%</td><td class="column-5">$34,291</td><td class="column-6">0.29</td>
	</tr>
	<tr class="row-4 even">
		<td class="column-1">Arizona</td><td class="column-2">5,116</td><td class="column-3">22,886</td><td class="column-4">347%</td><td class="column-5">$44,728</td><td class="column-6">0.31</td>
	</tr>
	<tr class="row-5 odd">
		<td class="column-1">Arkansas</td><td class="column-2">2,917</td><td class="column-3">4,303</td><td class="column-4">48%</td><td class="column-5">$33,087</td><td class="column-6">0.36</td>
	</tr>
	<tr class="row-6 even">
		<td class="column-1">California</td><td class="column-2">92,499</td><td class="column-3">123,983</td><td class="column-4">34%</td><td class="column-5">$58,425</td><td class="column-6">0.85</td>
	</tr>
	<tr class="row-7 odd">
		<td class="column-1">Colorado</td><td class="column-2">6,568</td><td class="column-3">10,735</td><td class="column-4">63%</td><td class="column-5">$44,251</td><td class="column-6">0.41</td>
	</tr>
	<tr class="row-8 even">
		<td class="column-1">Connecticut</td><td class="column-2">21,479</td><td class="column-3">30,637</td><td class="column-4">43%</td><td class="column-5">$65,482</td><td class="column-6">1.79</td>
	</tr>
	<tr class="row-9 odd">
		<td class="column-1">Delaware</td><td class="column-2">854</td><td class="column-3">1,460</td><td class="column-4">71%</td><td class="column-5">$52,729</td><td class="column-6">0.29</td>
	</tr>
	<tr class="row-10 even">
		<td class="column-1">District of Columbia</td><td class="column-2">22,849</td><td class="column-3">25,302</td><td class="column-4">11%</td><td class="column-5">$56,745</td><td class="column-6">4.84</td>
	</tr>
	<tr class="row-11 odd">
		<td class="column-1">Florida</td><td class="column-2">26,572</td><td class="column-3">51,715</td><td class="column-4">95%</td><td class="column-5">$43,790</td><td class="column-6">0.51</td>
	</tr>
	<tr class="row-12 even">
		<td class="column-1">Georgia</td><td class="column-2">17,876</td><td class="column-3">31,981</td><td class="column-4">79%</td><td class="column-5">$57,607</td><td class="column-6">0.63</td>
	</tr>
	<tr class="row-13 odd">
		<td class="column-1">Hawaii</td><td class="column-2">2,238</td><td class="column-3">3,542</td><td class="column-4">58%</td><td class="column-5">$41,744</td><td class="column-6">0.51</td>
	</tr>
	<tr class="row-14 even">
		<td class="column-1">Idaho</td><td class="column-2">1,653</td><td class="column-3">3,434</td><td class="column-4">108%</td><td class="column-5">$44,836</td><td class="column-6">0.40</td>
	</tr>
	<tr class="row-15 odd">
		<td class="column-1">Illinois</td><td class="column-2">53,827</td><td class="column-3">75,130</td><td class="column-4">40%</td><td class="column-5">$56,131</td><td class="column-6">1.26</td>
	</tr>
	<tr class="row-16 even">
		<td class="column-1">Indiana</td><td class="column-2">20,543</td><td class="column-3">27,939</td><td class="column-4">36%</td><td class="column-5">$39,697</td><td class="column-6">0.99</td>
	</tr>
	<tr class="row-17 odd">
		<td class="column-1">Iowa</td><td class="column-2">11,069</td><td class="column-3">12,936</td><td class="column-4">17%</td><td class="column-5">$39,128</td><td class="column-6">1.07</td>
	</tr>
	<tr class="row-18 even">
		<td class="column-1">Kansas</td><td class="column-2">4,022</td><td class="column-3">6,622</td><td class="column-4">65%</td><td class="column-5">$31,575</td><td class="column-6">0.42</td>
	</tr>
	<tr class="row-19 odd">
		<td class="column-1">Kentucky</td><td class="column-2">6,211</td><td class="column-3">10,036</td><td class="column-4">62%</td><td class="column-5">$35,387</td><td class="column-6">0.49</td>
	</tr>
	<tr class="row-20 even">
		<td class="column-1">Louisiana</td><td class="column-2">8,662</td><td class="column-3">9,668</td><td class="column-4">12%</td><td class="column-5">$53,185</td><td class="column-6">0.63</td>
	</tr>
	<tr class="row-21 odd">
		<td class="column-1">Maine</td><td class="column-2">4,647</td><td class="column-3">5,925</td><td class="column-4">28%</td><td class="column-5">$44,885</td><td class="column-6">1.08</td>
	</tr>
	<tr class="row-22 even">
		<td class="column-1">Maryland</td><td class="column-2">20,293</td><td class="column-3">25,565</td><td class="column-4">26%</td><td class="column-5">$63,582</td><td class="column-6">1.13</td>
	</tr>
	<tr class="row-23 odd">
		<td class="column-1">Massachusetts</td><td class="column-2">78,813</td><td class="column-3">87,619</td><td class="column-4">11%</td><td class="column-5">$66,864</td><td class="column-6">3.34</td>
	</tr>
	<tr class="row-24 even">
		<td class="column-1">Michigan</td><td class="column-2">16,335</td><td class="column-3">25,422</td><td class="column-4">56%</td><td class="column-5">$37,932</td><td class="column-6">0.51</td>
	</tr>
	<tr class="row-25 odd">
		<td class="column-1">Minnesota</td><td class="column-2">13,858</td><td class="column-3">21,852</td><td class="column-4">58%</td><td class="column-5">$45,253</td><td class="column-6">0.73</td>
	</tr>
	<tr class="row-26 even">
		<td class="column-1">Mississippi</td><td class="column-2">2,091</td><td class="column-3">2,607</td><td class="column-4">25%</td><td class="column-5">$36,792</td><td class="column-6">0.25</td>
	</tr>
	<tr class="row-27 odd">
		<td class="column-1">Missouri</td><td class="column-2">27,475</td><td class="column-3">23,200</td><td class="column-4">(16%)</td><td class="column-5">$46,197</td><td class="column-6">1.43</td>
	</tr>
	<tr class="row-28 even">
		<td class="column-1">Montana</td><td class="column-2">892</td><td class="column-3">888</td><td class="column-4">0%</td><td class="column-5">$34,156</td><td class="column-6">0.31</td>
	</tr>
	<tr class="row-29 odd">
		<td class="column-1">Nebraska</td><td class="column-2">6,754</td><td class="column-3">7,267</td><td class="column-4">8%</td><td class="column-5">$48,295</td><td class="column-6">1.04</td>
	</tr>
	<tr class="row-30 even">
		<td class="column-1">Nevada</td><td class="column-2">448</td><td class="column-3">1,512</td><td class="column-4">238%</td><td class="column-5">$42,854</td><td class="column-6">0.06</td>
	</tr>
	<tr class="row-31 odd">
		<td class="column-1">New Hampshire</td><td class="column-2">9,042</td><td class="column-3">9,612</td><td class="column-4">6%</td><td class="column-5">$57,666</td><td class="column-6">2.06</td>
	</tr>
	<tr class="row-32 even">
		<td class="column-1">New Jersey</td><td class="column-2">16,373</td><td class="column-3">20,315</td><td class="column-4">24%</td><td class="column-5">$56,948</td><td class="column-6">0.59</td>
	</tr>
	<tr class="row-33 odd">
		<td class="column-1">New Mexico</td><td class="column-2">1,502</td><td class="column-3">1,681</td><td class="column-4">12%</td><td class="column-5">$37,272</td><td class="column-6">0.28</td>
	</tr>
	<tr class="row-34 even">
		<td class="column-1">New York</td><td class="column-2">139,462</td><td class="column-3">177,948</td><td class="column-4">28%</td><td class="column-5">$55,832</td><td class="column-6">2.30</td>
	</tr>
	<tr class="row-35 odd">
		<td class="column-1">North Carolina</td><td class="column-2">25,147</td><td class="column-3">31,835</td><td class="column-4">27%</td><td class="column-5">$53,135</td><td class="column-6">0.90</td>
	</tr>
	<tr class="row-36 even">
		<td class="column-1">North Dakota</td><td class="column-2">526</td><td class="column-3">605</td><td class="column-4">15%</td><td class="column-5">$37,174</td><td class="column-6">0.22</td>
	</tr>
	<tr class="row-37 odd">
		<td class="column-1">Ohio</td><td class="column-2">29,065</td><td class="column-3">38,690</td><td class="column-4">33%</td><td class="column-5">$41,966</td><td class="column-6">0.74</td>
	</tr>
	<tr class="row-38 even">
		<td class="column-1">Oklahoma</td><td class="column-2">5,496</td><td class="column-3">6,403</td><td class="column-4">17%</td><td class="column-5">$34,634</td><td class="column-6">0.51</td>
	</tr>
	<tr class="row-39 odd">
		<td class="column-1">Oregon</td><td class="column-2">7,435</td><td class="column-3">10,469</td><td class="column-4">41%</td><td class="column-5">$38,828</td><td class="column-6">0.64</td>
	</tr>
	<tr class="row-40 even">
		<td class="column-1">Pennsylvania</td><td class="column-2">99,111</td><td class="column-3">122,586</td><td class="column-4">24%</td><td class="column-5">$57,890</td><td class="column-6">2.47</td>
	</tr>
	<tr class="row-41 odd">
		<td class="column-1">Rhode Island</td><td class="column-2">9,766</td><td class="column-3">13,469</td><td class="column-4">38%</td><td class="column-5">$50,808</td><td class="column-6">2.86</td>
	</tr>
	<tr class="row-42 even">
		<td class="column-1">South Carolina</td><td class="column-2">8,226</td><td class="column-3">11,963</td><td class="column-4">45%</td><td class="column-5">$35,829</td><td class="column-6">0.62</td>
	</tr>
	<tr class="row-43 odd">
		<td class="column-1">South Dakota</td><td class="column-2">1,508</td><td class="column-3">2,150</td><td class="column-4">43%</td><td class="column-5">$34,864</td><td class="column-6">0.56</td>
	</tr>
	<tr class="row-44 even">
		<td class="column-1">Tennessee</td><td class="column-2">20,220</td><td class="column-3">21,427</td><td class="column-4">6%</td><td class="column-5">$45,675</td><td class="column-6">1.07</td>
	</tr>
	<tr class="row-45 odd">
		<td class="column-1">Texas</td><td class="column-2">33,405</td><td class="column-3">44,431</td><td class="column-4">33%</td><td class="column-5">$53,755</td><td class="column-6">0.49</td>
	</tr>
	<tr class="row-46 even">
		<td class="column-1">Utah</td><td class="column-2">7,036</td><td class="column-3">10,134</td><td class="column-4">44%</td><td class="column-5">$48,121</td><td class="column-6">0.92</td>
	</tr>
	<tr class="row-47 odd">
		<td class="column-1">Vermont</td><td class="column-2">4,597</td><td class="column-3">4,903</td><td class="column-4">7%</td><td class="column-5">$46,123</td><td class="column-6">2.12</td>
	</tr>
	<tr class="row-48 even">
		<td class="column-1">Virginia</td><td class="column-2">15,359</td><td class="column-3">24,041</td><td class="column-4">57%</td><td class="column-5">$44,421</td><td class="column-6">0.59</td>
	</tr>
	<tr class="row-49 odd">
		<td class="column-1">Washington</td><td class="column-2">8,937</td><td class="column-3">11,487</td><td class="column-4">29%</td><td class="column-5">$45,107</td><td class="column-6">0.45</td>
	</tr>
	<tr class="row-50 even">
		<td class="column-1">West Virginia</td><td class="column-2">2,955</td><td class="column-3">3,463</td><td class="column-4">17%</td><td class="column-5">$36,865</td><td class="column-6">0.59</td>
	</tr>
	<tr class="row-51 odd">
		<td class="column-1">Wisconsin</td><td class="column-2">15,280</td><td class="column-3">22,337</td><td class="column-4">46%</td><td class="column-5">$50,359</td><td class="column-6">0.78</td>
	</tr>
	<tr class="row-52 even">
		<td class="column-1">Wyoming</td><td class="column-2">64</td><td class="column-3">146</td><td class="column-4">128%</td><td class="column-5">$35,469</td><td class="column-6">0.04</td>
	</tr>
</tbody>
</table>

<h4><strong>CONCLUSIONS</strong></h4>
<p>So despite complaints of trimmed budgets colleges and universities, public and private, continue to add employees to the payroll. Eastern states have the highest concentration and pay, but the western states seem to be growing at a quicker pace. If you would like to explore this data further, let us know.</p>
<p>The data and analysis for this post comes from <a href="http://www.economicmodeling.com/2012/05/03/emsi-data-2012-1-final/">EMSI&#8217;s 2012.1 data release</a> and <a href="http://http://www.economicmodeling.com/analyst/">Analyst</a>, a web-based tool we built for exploring labor market information.</p>
<p><em><strong>If you would like to learn more, please <a href="http://www.economicmodeling.com/contact/">contact us</a>. Find out more about EMSI and our data <a href="http://www.economicmodeling.com/2012/04/24/2012/04/16/about/">here</a>. You can reach us via Twitter <a href="http://twitter.com/#%21/DesktopEcon">@DesktopEcon</a> or by emailing Rob Sentz (<a href="mailto:jwright@economicmodeling.com">rob@economicmodeling.com</a>).</strong></em></p>
]]></content:encoded>
			<wfw:commentRss>http://www.economicmodeling.com/2012/05/11/employment-comparison-of-public-and-private-higher-ed-institutions/feed/</wfw:commentRss>
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		</item>
		<item>
		<title>Job Growth at Public Colleges and Universities</title>
		<link>http://www.economicmodeling.com/2012/05/11/job-growth-at-public-colleges-and-universities/</link>
		<comments>http://www.economicmodeling.com/2012/05/11/job-growth-at-public-colleges-and-universities/#comments</comments>
		<pubDate>Fri, 11 May 2012 22:49:43 +0000</pubDate>
		<dc:creator>Rob Sentz</dc:creator>
				<category><![CDATA[Data & Analysis]]></category>
		<category><![CDATA[Education]]></category>
		<category><![CDATA[Featured]]></category>
		<category><![CDATA[Industries]]></category>
		<category><![CDATA[2012.1]]></category>
		<category><![CDATA[colleges]]></category>
		<category><![CDATA[employment]]></category>
		<category><![CDATA[emsi data]]></category>
		<category><![CDATA[higher education]]></category>
		<category><![CDATA[public]]></category>
		<category><![CDATA[universities]]></category>

		<guid isPermaLink="false">http://www.economicmodeling.com/?p=44907</guid>
		<description><![CDATA[From 2001-2012 (note 2012 is still a projection) employment at public colleges and universities increased by 12.8% or nearly 360,000 jobs. As of 2011, 3.1 million people are employed in colleges and universities and this figure is expected to grow by 40,000 by the end of 2012.]]></description>
			<content:encoded><![CDATA[<p><a href="http://www.economicmodeling.com/wp-content/uploads/emsi-educational-services2.jpg"><img class="wp-image-44965 alignright" style="margin: 2px 10px" src="http://www.economicmodeling.com/wp-content/uploads/emsi-educational-services2-e1336685006129.jpg" alt="" width="120" height="120" /></a>As part of EMSI&#8217;s<strong> <a href="http://www.economicmodeling.com/2012/05/03/emsi-data-2012-1-final/">2012.2 data release</a></strong> we can now show you <strong>employment at public colleges and universities</strong>, which are typically just classified as &#8220;state government&#8221; or &#8220;local government.&#8221; This post provides a quick industry report that highlights key data for public colleges and universities.</p>
<p>To display the data we will use <a href="http://www.economicmodeling.com/analyst/">Analyst</a>, EMSI&#8217;s labor market data tool. We will look at all jobs for public colleges and universities classified under state and local government from 2001-2012.</p>
<h4>GROWTH TREND</h4>
<p>From 2001-2012 <em>(note 2012 is still a projection)</em> employment at public colleges and universities increased by 12.8% or nearly 360,000 jobs. As of 2011, colleges and universities accounted for an estimated 3.1 million jobs, and this figure is expected to grow by 40,000 by the end of 2012. For the sake of comparison, private colleges and universities have 1.2 million jobs right now &#8211; <em>more about this in the <a href="http://www.economicmodeling.com/2012/05/11/employment-comparison-of-public-and-private-higher-ed-institutions/">next post</a>.</em></p>
<p><a href="http://www.economicmodeling.com/wp-content/uploads/collegetrend.png"><img class="alignnone size-full wp-image-44910" src="http://www.economicmodeling.com/wp-content/uploads/collegetrend-e1336673999804.png" alt="" width="640" height="282" /></a></p>
<h4>EMPLOYMENT BY OCCUPATION</h4>
<p>So what jobs are we actually talking about here? The main occupations staffed by colleges and universities are:</p>
<ul>
<li><strong>Teachers/professors</strong> &#8211; 22.5% of the total industry or nearly 700,000 workers</li>
<li><strong>Office clerks</strong> &#8211; nearly 10% of the total industry or 300,000 workers</li>
<li><strong>Secretaries and executive secretaries &#8211; </strong>just over 9% of the total sector or 430,00 workers</li>
<li><strong>Janitors</strong> &#8211; 4.4% or 137,000 workers</li>
</ul>
<p>Let us know if you are interested in the full staffing pattern.</p>
<p><a href="http://www.economicmodeling.com/wp-content/uploads/collegestaffing.png"><img class="alignnone size-full wp-image-44919" src="http://www.economicmodeling.com/wp-content/uploads/collegestaffing-e1336674512984.png" alt="" width="640" height="216" /></a></p>
<h4>EMPLOYMENT BY STATE</h4>
<p>The table below provides a closer look at how employment plays out by state. Here is a summary of the big points:</p>
<ul>
<li><strong>California</strong> employs the most public college/university workers (about 390,000).<strong> Texas</strong> is second with 276,000.</li>
<li>The states with the most employment growth (greater than 30% from 2001-2012) were <strong>Wyoming</strong>, <strong>North Dakota</strong>, <strong>Connecticut</strong>, <strong>Montana</strong>, <strong>Kentucky</strong>,  <strong>New Hampshire</strong>, <strong>Virginia</strong>, <strong>Alaska</strong>, <strong>Arkansas,</strong> and <strong>Vermont</strong>.</li>
<li>The states with the highest per capita employment for public colleges and universities are <strong>New Mexico</strong> (at nearly twice the typical concentration) followed by <strong>Montana</strong>, <strong>Wyoming</strong>, <strong>North Dakota</strong>, <strong>Oklahoma</strong>, <strong>Oregon</strong>, <strong>Arizona</strong>, <strong>Washington</strong>, and <strong>Utah</strong>. Lots of western states here.</li>
<li>In terms of industry earnings, <strong>Washington,</strong> <strong>D.C.</strong> has the highest wages. As you look at wages, keep in mind that a lot of lower-skill jobs are being factored in to the analysis.</li>
<li>Only three states experienced overall employment decline from 2001-2012 &#8212; <strong>Florida </strong>(-10%)<strong></strong>, <strong>Oklahoma </strong>(-9%), and <strong>Iowa</strong> (-5%)<strong>.</strong></li>
</ul>

<table id="wp-table-reloaded-id-324-no-1" class="wp-table-reloaded wp-table-reloaded-id-324">
<thead>
	<tr class="row-1 odd">
		<th class="column-1">State Name</th><th class="column-2">2001 Jobs</th><th class="column-3">2012 Jobs</th><th class="column-4">% Change</th><th class="column-5">2011 Avg. Annual Wage</th><th class="column-6">2001 National Location Quotient</th>
	</tr>
</thead>
<tfoot>
	<tr class="row-53 odd">
		<th colspan="6" class="column-1 colspan-6">SOURCE: EMSI COVERED EMPLOYMENT 2012.1</th>
	</tr>
</tfoot>
<tbody class="row-hover">
	<tr class="row-2 even">
		<td class="column-1">Alabama</td><td class="column-2">49,713</td><td class="column-3">56,773</td><td class="column-4">14%</td><td class="column-5">$38,341</td><td class="column-6">1.24</td>
	</tr>
	<tr class="row-3 odd">
		<td class="column-1">Alaska</td><td class="column-2">6,107</td><td class="column-3">8,013</td><td class="column-4">31%</td><td class="column-5">$39,911</td><td class="column-6">0.95</td>
	</tr>
	<tr class="row-4 even">
		<td class="column-1">Arizona</td><td class="column-2">68,797</td><td class="column-3">71,370</td><td class="column-4">4%</td><td class="column-5">$32,833</td><td class="column-6">1.42</td>
	</tr>
	<tr class="row-5 odd">
		<td class="column-1">Arkansas</td><td class="column-2">21,813</td><td class="column-3">28,511</td><td class="column-4">31%</td><td class="column-5">$33,407</td><td class="column-6">0.90</td>
	</tr>
	<tr class="row-6 even">
		<td class="column-1">California</td><td class="column-2">359,265</td><td class="column-3">390,327</td><td class="column-4">9%</td><td class="column-5">$47,093</td><td class="column-6">1.11</td>
	</tr>
	<tr class="row-7 odd">
		<td class="column-1">Colorado</td><td class="column-2">50,964</td><td class="column-3">65,266</td><td class="column-4">28%</td><td class="column-5">$34,834</td><td class="column-6">1.07</td>
	</tr>
	<tr class="row-8 even">
		<td class="column-1">Connecticut</td><td class="column-2">22,013</td><td class="column-3">30,408</td><td class="column-4">38%</td><td class="column-5">$39,800</td><td class="column-6">0.62</td>
	</tr>
	<tr class="row-9 odd">
		<td class="column-1">Delaware</td><td class="column-2">10,325</td><td class="column-3">10,532</td><td class="column-4">2%</td><td class="column-5">$45,818</td><td class="column-6">1.17</td>
	</tr>
	<tr class="row-10 even">
		<td class="column-1">District of Columbia</td><td class="column-2">3,553</td><td class="column-3">3,871</td><td class="column-4">9%</td><td class="column-5">$64,440</td><td class="column-6">0.25</td>
	</tr>
	<tr class="row-11 odd">
		<td class="column-1">Florida</td><td class="column-2">144,413</td><td class="column-3">130,370</td><td class="column-4">(10%)</td><td class="column-5">$36,109</td><td class="column-6">0.94</td>
	</tr>
	<tr class="row-12 even">
		<td class="column-1">Georgia</td><td class="column-2">56,837</td><td class="column-3">67,247</td><td class="column-4">18%</td><td class="column-5">$39,180</td><td class="column-6">0.68</td>
	</tr>
	<tr class="row-13 odd">
		<td class="column-1">Hawaii</td><td class="column-2">15,316</td><td class="column-3">17,397</td><td class="column-4">14%</td><td class="column-5">$34,260</td><td class="column-6">1.18</td>
	</tr>
	<tr class="row-14 even">
		<td class="column-1">Idaho</td><td class="column-2">14,492</td><td class="column-3">16,244</td><td class="column-4">12%</td><td class="column-5">$28,731</td><td class="column-6">1.18</td>
	</tr>
	<tr class="row-15 odd">
		<td class="column-1">Illinois</td><td class="column-2">122,984</td><td class="column-3">125,902</td><td class="column-4">2%</td><td class="column-5">$35,936</td><td class="column-6">0.97</td>
	</tr>
	<tr class="row-16 even">
		<td class="column-1">Indiana</td><td class="column-2">66,657</td><td class="column-3">76,144</td><td class="column-4">14%</td><td class="column-5">$31,725</td><td class="column-6">1.08</td>
	</tr>
	<tr class="row-17 odd">
		<td class="column-1">Iowa</td><td class="column-2">39,627</td><td class="column-3">37,673</td><td class="column-4">(5%)</td><td class="column-5">$44,884</td><td class="column-6">1.29</td>
	</tr>
	<tr class="row-18 even">
		<td class="column-1">Kansas</td><td class="column-2">30,634</td><td class="column-3">38,750</td><td class="column-4">26%</td><td class="column-5">$38,990</td><td class="column-6">1.07</td>
	</tr>
	<tr class="row-19 odd">
		<td class="column-1">Kentucky</td><td class="column-2">40,178</td><td class="column-3">54,430</td><td class="column-4">35%</td><td class="column-5">$34,447</td><td class="column-6">1.06</td>
	</tr>
	<tr class="row-20 even">
		<td class="column-1">Louisiana</td><td class="column-2">41,303</td><td class="column-3">51,641</td><td class="column-4">25%</td><td class="column-5">$36,974</td><td class="column-6">1.02</td>
	</tr>
	<tr class="row-21 odd">
		<td class="column-1">Maine</td><td class="column-2">10,654</td><td class="column-3">11,158</td><td class="column-4">5%</td><td class="column-5">$32,288</td><td class="column-6">0.83</td>
	</tr>
	<tr class="row-22 even">
		<td class="column-1">Maryland</td><td class="column-2">61,186</td><td class="column-3">73,664</td><td class="column-4">20%</td><td class="column-5">$37,898</td><td class="column-6">1.15</td>
	</tr>
	<tr class="row-23 odd">
		<td class="column-1">Massachusetts</td><td class="column-2">38,543</td><td class="column-3">48,828</td><td class="column-4">27%</td><td class="column-5">$38,712</td><td class="column-6">0.55</td>
	</tr>
	<tr class="row-24 even">
		<td class="column-1">Michigan</td><td class="column-2">118,261</td><td class="column-3">134,548</td><td class="column-4">14%</td><td class="column-5">$40,892</td><td class="column-6">1.24</td>
	</tr>
	<tr class="row-25 odd">
		<td class="column-1">Minnesota</td><td class="column-2">51,045</td><td class="column-3">61,383</td><td class="column-4">20%</td><td class="column-5">$36,463</td><td class="column-6">0.91</td>
	</tr>
	<tr class="row-26 even">
		<td class="column-1">Mississippi</td><td class="column-2">30,981</td><td class="column-3">32,143</td><td class="column-4">4%</td><td class="column-5">$35,834</td><td class="column-6">1.27</td>
	</tr>
	<tr class="row-27 odd">
		<td class="column-1">Missouri</td><td class="column-2">45,610</td><td class="column-3">53,275</td><td class="column-4">17%</td><td class="column-5">$32,675</td><td class="column-6">0.80</td>
	</tr>
	<tr class="row-28 even">
		<td class="column-1">Montana</td><td class="column-2">14,100</td><td class="column-3">19,111</td><td class="column-4">36%</td><td class="column-5">$27,510</td><td class="column-6">1.67</td>
	</tr>
	<tr class="row-29 odd">
		<td class="column-1">Nebraska</td><td class="column-2">23,515</td><td class="column-3">26,364</td><td class="column-4">12%</td><td class="column-5">$38,700</td><td class="column-6">1.22</td>
	</tr>
	<tr class="row-30 even">
		<td class="column-1">Nevada</td><td class="column-2">14,589</td><td class="column-3">17,691</td><td class="column-4">21%</td><td class="column-5">$36,053</td><td class="column-6">0.65</td>
	</tr>
	<tr class="row-31 odd">
		<td class="column-1">New Hampshire</td><td class="column-2">8,451</td><td class="column-3">11,361</td><td class="column-4">34%</td><td class="column-5">$36,282</td><td class="column-6">0.65</td>
	</tr>
	<tr class="row-32 even">
		<td class="column-1">New Jersey</td><td class="column-2">65,687</td><td class="column-3">73,664</td><td class="column-4">12%</td><td class="column-5">$37,470</td><td class="column-6">0.79</td>
	</tr>
	<tr class="row-33 odd">
		<td class="column-1">New Mexico</td><td class="column-2">30,355</td><td class="column-3">31,615</td><td class="column-4">4%</td><td class="column-5">$31,465</td><td class="column-6">1.90</td>
	</tr>
	<tr class="row-34 even">
		<td class="column-1">New York</td><td class="column-2">131,245</td><td class="column-3">152,506</td><td class="column-4">16%</td><td class="column-5">$28,777</td><td class="column-6">0.73</td>
	</tr>
	<tr class="row-35 odd">
		<td class="column-1">North Carolina</td><td class="column-2">99,471</td><td class="column-3">107,323</td><td class="column-4">8%</td><td class="column-5">$38,640</td><td class="column-6">1.20</td>
	</tr>
	<tr class="row-36 even">
		<td class="column-1">North Dakota</td><td class="column-2">11,070</td><td class="column-3">15,398</td><td class="column-4">39%</td><td class="column-5">$32,271</td><td class="column-6">1.60</td>
	</tr>
	<tr class="row-37 odd">
		<td class="column-1">Ohio</td><td class="column-2">110,892</td><td class="column-3">116,575</td><td class="column-4">5%</td><td class="column-5">$31,806</td><td class="column-6">0.95</td>
	</tr>
	<tr class="row-38 even">
		<td class="column-1">Oklahoma</td><td class="column-2">50,510</td><td class="column-3">45,973</td><td class="column-4">(9%)</td><td class="column-5">$32,049</td><td class="column-6">1.58</td>
	</tr>
	<tr class="row-39 odd">
		<td class="column-1">Oregon</td><td class="column-2">49,187</td><td class="column-3">61,756</td><td class="column-4">26%</td><td class="column-5">$37,038</td><td class="column-6">1.44</td>
	</tr>
	<tr class="row-40 even">
		<td class="column-1">Pennsylvania</td><td class="column-2">71,240</td><td class="column-3">73,832</td><td class="column-4">4%</td><td class="column-5">$35,596</td><td class="column-6">0.60</td>
	</tr>
	<tr class="row-41 odd">
		<td class="column-1">Rhode Island</td><td class="column-2">6,041</td><td class="column-3">6,047</td><td class="column-4">0%</td><td class="column-5">$44,745</td><td class="column-6">0.60</td>
	</tr>
	<tr class="row-42 even">
		<td class="column-1">South Carolina</td><td class="column-2">41,854</td><td class="column-3">43,253</td><td class="column-4">3%</td><td class="column-5">$38,623</td><td class="column-6">1.07</td>
	</tr>
	<tr class="row-43 odd">
		<td class="column-1">South Dakota</td><td class="column-2">9,919</td><td class="column-3">11,301</td><td class="column-4">14%</td><td class="column-5">$28,505</td><td class="column-6">1.25</td>
	</tr>
	<tr class="row-44 even">
		<td class="column-1">Tennessee</td><td class="column-2">48,402</td><td class="column-3">49,034</td><td class="column-4">1%</td><td class="column-5">$34,687</td><td class="column-6">0.86</td>
	</tr>
	<tr class="row-45 odd">
		<td class="column-1">Texas</td><td class="column-2">214,493</td><td class="column-3">276,630</td><td class="column-4">29%</td><td class="column-5">$38,057</td><td class="column-6">1.07</td>
	</tr>
	<tr class="row-46 even">
		<td class="column-1">Utah</td><td class="column-2">29,651</td><td class="column-3">35,660</td><td class="column-4">20%</td><td class="column-5">$36,800</td><td class="column-6">1.31</td>
	</tr>
	<tr class="row-47 odd">
		<td class="column-1">Vermont</td><td class="column-2">7,333</td><td class="column-3">9,511</td><td class="column-4">30%</td><td class="column-5">$37,560</td><td class="column-6">1.14</td>
	</tr>
	<tr class="row-48 even">
		<td class="column-1">Virginia</td><td class="column-2">68,654</td><td class="column-3">91,442</td><td class="column-4">33%</td><td class="column-5">$37,245</td><td class="column-6">0.90</td>
	</tr>
	<tr class="row-49 odd">
		<td class="column-1">Washington</td><td class="column-2">77,381</td><td class="column-3">83,299</td><td class="column-4">8%</td><td class="column-5">$38,008</td><td class="column-6">1.32</td>
	</tr>
	<tr class="row-50 even">
		<td class="column-1">West Virginia</td><td class="column-2">18,311</td><td class="column-3">18,991</td><td class="column-4">4%</td><td class="column-5">$38,139</td><td class="column-6">1.24</td>
	</tr>
	<tr class="row-51 odd">
		<td class="column-1">Wisconsin</td><td class="column-2">61,754</td><td class="column-3">65,257</td><td class="column-4">6%</td><td class="column-5">$41,223</td><td class="column-6">1.06</td>
	</tr>
	<tr class="row-52 even">
		<td class="column-1">Wyoming</td><td class="column-2">8,704</td><td class="column-3">12,125</td><td class="column-4">39%</td><td class="column-5">$26,968</td><td class="column-6">1.66</td>
	</tr>
</tbody>
</table>

<p><strong>CONCLUSION</strong></p>
<p>So employment growth at public colleges and universities seems quite stable, even during a down economy. Note how the growth chart didn&#8217;t fade from 2008-2010. In our <a href="http://www.economicmodeling.com/2012/05/11/employment-comparison-of-public-and-private-higher-ed-institutions/">next post</a> we will compare the growth to private colleges and universities.</p>
<p><em><em><strong>Find out more about EMSI and our data <a href="http://www.economicmodeling.com/2012/04/24/2012/04/16/about/">here</a>. You can reach us via Twitter <a href="http://twitter.com/#%21/DesktopEcon">@DesktopEcon</a> or by emailing Rob Sentz (<a href="mailto:jwright@economicmodeling.com">rob@economicmodeling.com</a>).</strong></em></em></p>
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		<title>Skills Shortage: Fact or Fiction</title>
		<link>http://www.economicmodeling.com/2012/05/10/skills-shortage-fact-or-fiction-2/</link>
		<comments>http://www.economicmodeling.com/2012/05/10/skills-shortage-fact-or-fiction-2/#comments</comments>
		<pubDate>Thu, 10 May 2012 17:27:32 +0000</pubDate>
		<dc:creator>Rob Sentz</dc:creator>
				<category><![CDATA[Data & Analysis]]></category>
		<category><![CDATA[Workforce Development]]></category>
		<category><![CDATA[Civic Analytics]]></category>
		<category><![CDATA[emsi data]]></category>
		<category><![CDATA[Manufacturing]]></category>
		<category><![CDATA[MEP]]></category>
		<category><![CDATA[NAWDP]]></category>
		<category><![CDATA[skills gap]]></category>

		<guid isPermaLink="false">http://www.economicmodeling.com/?p=44842</guid>
		<description><![CDATA[Brian Kelsey talks about the skills gap debate and how workforce and economic development can be used in creating more competitive regions.]]></description>
			<content:encoded><![CDATA[<p style="text-align: justify;"><a href="http://www.economicmodeling.com/wp-content/uploads/brianK.png"><img class="alignleft size-full wp-image-44820" style="margin: 1px 10px;" src="http://www.economicmodeling.com/wp-content/uploads/brianK.png" alt="" width="126" height="125" /></a>If you are not yet familiar with Brian Kelsey (<a href="https://twitter.com/#%21/brianjkelsey">@BrianJKelsey</a>) with <a href="http://civicanalytics.com/skills-shortage-fact-or-fiction">Civic Analytics</a>, you should be. We have had the pleasure of working with Brian for the past few years and were able to recently help him with some data for his keynote address at <a href="http://www.nawdp.org//AM/Template.cfm?Section=HomePage">NAWDP</a>. In his talk he focused on the skills shortage debate and how workforce and economic development can be used to build more competitive regions. Brian published the details of his talk over on <a href="http://civicanalytics.com/skills-shortage-fact-or-fiction">his blog</a>. Give it a look.</p>
<p style="text-align: justify;">On of the key things you should note is the insight Brian provides relative to the debate about manufacturing&#8217;s domestic skills shortage. He also includes Stacy Wagner&#8217;s interesting post, which can be seen over <a href="http://nistmep.blogs.govdelivery.com/2012/04/26/skills-gaps-or-wage-gaps/">at MEP</a>. Basically, do we really have a skills gap or is it that employers just aren&#8217;t willing to pay market value for quality workers (and thus the workers decide to find employment in other sectors)? Here is an excerpt:</p>
<blockquote>
<p style="text-align: justify;">Thanks to my friends at EMSI, I was able to have this conversation with about 1,000 experts at the National Association of Workforce Development Professionals annual conference on Monday, where I did the opening keynote. We looked at job postings for skilled trades as a way to measure the shortage, compared wages for production work to wages in other types of occupations that could be competing for the same employees, and learned that workers in the skilled trades are generally older than the workforce as a whole. If the skills shortage is debatable today, it likely won’t be at some point in the future.</p>
</blockquote>
<p style="text-align: justify;">Regarding Brian&#8217;s last point on aging workers in the skilled trades, he produced this chart using EMSI&#8217;s workforce demographic data for Texas. <a href="http://www.economicmodeling.com/wp-content/uploads/RetiringBoomers.png"><img class="alignleft  wp-image-44884" src="http://www.economicmodeling.com/wp-content/uploads/RetiringBoomers-e1336670455950.png" alt="" width="576" height="411" /></a>You can access his full NAWDP presentation <a href="http://www.slideshare.net/civicanalytics/nawdp-2012-annual-conference?from=ss_embed">here</a>.</p>
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		<title>Economic Contribution of Colorado Community Colleges</title>
		<link>http://www.economicmodeling.com/2012/05/09/economic-contribution-of-colorado-community-colleges/</link>
		<comments>http://www.economicmodeling.com/2012/05/09/economic-contribution-of-colorado-community-colleges/#comments</comments>
		<pubDate>Wed, 09 May 2012 18:14:14 +0000</pubDate>
		<dc:creator>Rob Sentz</dc:creator>
				<category><![CDATA[Education]]></category>
		<category><![CDATA[In the News]]></category>
		<category><![CDATA[colorado]]></category>
		<category><![CDATA[community colleges]]></category>
		<category><![CDATA[Impact Studies]]></category>

		<guid isPermaLink="false">http://www.economicmodeling.com/?p=44740</guid>
		<description><![CDATA[A recent impact study found that the Colorado Community College System contributes $3.01 billion to the state each year.]]></description>
			<content:encoded><![CDATA[<p>Yesterday, Nancy McCallin, president of the Colorado Community College System, unveiled the results of a recent <a href="http://www.economicmodeling.com/consulting/economic-impact-study/">economic impact study</a> conducted by EMSI. Here are the big highlights from the study:</p>
<ul>
<li>The system, composed of 13 colleges, has a $3 billion impact &#8212; each year.</li>
<li>Students see a 11% annual return on their investment.</li>
<li>Taxpayers receive a $1.70 return for every dollar spent.</li>
</ul>
<p>One of Denver&#8217;s news channels picked up the story, which you can watch <a href="http://www.9news.com/news/local/article/267166/346/Study-shows-community-colleges-impact-on-economy-3-billion">here</a>:<br />
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Here is an excerpt that mentions the key results:</p>
<blockquote><p>The results show that the community college system serves 162,000 students statewide. If you look at the value of what they produce after leaving school and the increased output of businesses due to a highly-trained workforce, the impact every year is more than $3.01 billion, according to the study.</p>
<p>&#8220;To put that in perspective, that would be equal to creating almost 56,000 jobs at today&#8217;s average annual salaries,&#8221; McCallin said.</p>
<p>The study shows that out of the $107 million allocated to community colleges by the state, taxpayers get a return of about $1.70 for every dollar spent.</p></blockquote>
<p>The Denver Post also <a href="http://www.denverpost.com/breakingnews/ci_20575122/colorado-community-colleges-contribute-3-billion-year-economic">wrote about the study</a>. Here is an excerpt:</p>
<blockquote><p>McCallin said the $3 billion figure may be conservative because the impact of students who transfer from community colleges to four-year institutions wasn&#8217;t included. That was also true of students who don&#8217;t get degree credits for the classes they take at the schools.</p></blockquote>
<p><em><strong>If you would like to learn more about these studies, please <a href="http://www.economicmodeling.com/contact/">contact us</a>. Find out more about EMSI and our data <a href="http://www.economicmodeling.com/2012/04/24/2012/04/16/about/">here</a>. You can reach us via Twitter <a href="http://twitter.com/#%21/DesktopEcon">@DesktopEcon</a> or by emailing Rob Sentz (<a href="mailto:jwright@economicmodeling.com">rob@economicmodeling.com</a>).</strong></em></p>
<p>&nbsp;</p>
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