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<channel>
	<title>Random bits</title>
	<atom:link href="http://jamie.workingagenda.com/blog/feed/" rel="self" type="application/rss+xml" />
	<link>http://jamie.workingagenda.com/blog</link>
	<description>Notes about things that do and don&#039;t make sense</description>
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		<item>
		<title>Migrating this blog to randombits.workingagenda.com</title>
		<link>http://jamie.workingagenda.com/blog/2011/08/14/migrating-this-blog-to-randombits-workingagenda-com/</link>
		<comments>http://jamie.workingagenda.com/blog/2011/08/14/migrating-this-blog-to-randombits-workingagenda-com/#comments</comments>
		<pubDate>Sun, 14 Aug 2011 22:40:53 +0000</pubDate>
		<dc:creator>jamie</dc:creator>
				<category><![CDATA[Computers and Software]]></category>
		<category><![CDATA[Technology]]></category>

		<guid isPermaLink="false">http://jamie.workingagenda.com/blog/?p=1471</guid>
		<description><![CDATA[I will be migrating future content on this blog to a new URL, http://randombits.workingagenda.com. I will also be changing the CMS from WordPress to Drupal 7.]]></description>
			<content:encoded><![CDATA[<abbr class="unapi-id" title="http://jamie.workingagenda.com/blog/?p=1471"><!-- &nbsp; --></abbr>
<p>I will be migrating future content on this blog to a new URL, <a href="http://randombits.workingagenda.com">http://randombits.workingagenda.com</a>.  I will also be changing the CMS from WordPress to Drupal 7.  </p>
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		<title>Collection of reactions to the Ames Iowa straw poll</title>
		<link>http://jamie.workingagenda.com/blog/2011/08/14/1432/</link>
		<comments>http://jamie.workingagenda.com/blog/2011/08/14/1432/#comments</comments>
		<pubDate>Sun, 14 Aug 2011 13:50:29 +0000</pubDate>
		<dc:creator>jamie</dc:creator>
				<category><![CDATA[Politics]]></category>

		<guid isPermaLink="false">http://jamie.workingagenda.com/blog/?p=1432</guid>
		<description><![CDATA[These are some of the reactions to the Ames Iowa straw poll, where Michele Bachmann won with 29 percent of the vote, and Ron Paul was second, with 28 percent. Steve Kornacki in Salon AP Photo by Charles Dharapak This was a very big win for Bachmann. She crushed her biggest mainstream competitor and she [...]]]></description>
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<p>These are some of the reactions to the Ames Iowa straw poll, where Michele Bachmann won with 29 percent of the vote, and Ron Paul was second, with 28 percent.  <span id="more-1432"></span> </p>
<p><a href="http://www.salon.com/news/2012_elections/index.html">Steve Kornacki</a> in Salon<br />
<table align="right">
<tr>
<td><a href="http://jamie.workingagenda.com/blog/wp-content/uploads/2011/08/bachmann_wins_460x358.jpg"><img src="http://jamie.workingagenda.com/blog/wp-content/uploads/2011/08/bachmann_wins_460x358.jpg" width="400" height="311" class="alignright size-full wp-image-1451" /></a></td>
</tr>
<tr>
<td align="right" ><em>AP Photo by Charles Dharapak</em></td>
</tr>
</table>
<blockquote><p>This was a very big win for Bachmann. She crushed her biggest mainstream competitor and she avoided the indignity of finishing behind Paul. In the run-up to the straw poll, there was talk that she might be a victim of her own early success &#8212; that by making so much noise this spring and summer and moving up so quickly in polling she had set the bar too high for herself. Finishing behind Pawlenty (and Paul, for that matter) would have encouraged this view, raising questions about whether Bachmann really had the staying power and organization to win the Iowa caucuses this winter. But now she&#8217;ll leave Ames with the political world taking her more seriously, not less.</p></blockquote>
<p><a href="http://andrewsullivan.thedailybeast.com/2011/08/the-leader-of-the-opposition.html">Andrew Sullivan</a>, Daily Beast</p>
<blockquote><p>She [Bachmann] is to the right what &#8230; well it&#8217;s hard to come up with a viable politician among the Democrats who can even begin to match her ideological extremism. Maybe if someone actually wanted fully socialized medicine on the British model, top tax rates at 98 percent, and affirmative action for gays in Hollywood. </p></blockquote>
<p><a href="http://www.frumforum.com/romney-gets-his-challenger">David Frumm </a>, FrumForum</p>
<blockquote><p>Bachmann’s win in the Ames straw poll fails to alter the basic shape of the problem. But Texas Governor Rick Perry’s formal declaration as a candidate for the Republican nomination does change the game. Here at last is the non-Romney who can appeal to social conservatives but also raise the dollars to sustain a credible campaign for president. Straw, shmaw. Presidential campaigns are built of cash.</p>
<p>Perry’s entry is nicely timed to squelch Michele Bachmann’s big news bump. It shoulders aside Sarah Palin’s “remember me?” attempts to make news. It buries the last of Tim Pawlenty’s hopes. It suctions away Newt Gingrich’s last hopes for money.</p></blockquote>
<p><a href="http://www.nytimes.com/2011/08/14/us/politics/14iowa.html">Michael Shear</a>, NYT</p>
<blockquote><p>The disappointing finish for the Pawlenty campaign is explained, in part, by voters like Dave Freligh, a retired private investigator from Winterset, who carried a green “Pawlenty ’12” T-shirt under his arm. He accepted a ticket from the Pawlenty campaign, but decided to support Herman Cain, the former chief executive of Godfather’s Pizza, because he wanted him to keep his candidacy alive so the race would not be dominated by politicians.</p></blockquote>
<p><a href="http://www.huffingtonpost.com/2011/08/13/after-ames-win-michele-ba_n_926303.html">Jon Ward </a>, in the Huffington Post</p>
<blockquote><p>Despite not having his name on the ballot, Perry got a surprisingly high number as well: 718 votes. That beat Mitt Romney&#8217;s total of 567 votes, despite the fact that the former Massachusetts governor&#8217;s name was on the ballot while Perry was a write-in.</p>
<p>&#8220;Romney better strap it on and get on the field,&#8221; Henry Barbour, an influential Republican consultant and national committee member from Mississippi, told The Huffington Post.</p></blockquote>
<p><a href="http://littlegreenfootballs.com/">Charles Johnson</a> in Littlegreenfootballs.com</p>
<blockquote><p>Headline: Craziest Fundamentalist Republican Wins Iowa Straw Poll,  Michele Bachmann is partying tonight, in her own way.  </p>
<p>The big winners of the Iowa straw poll: religious fanatic Michele Bachmann, followed closely in second place by religious fanatic “libertarian” Ron Paul. I’m shocked that Ron Paul’s followers didn’t succeed in stacking this poll; they must be slipping.</p></blockquote>
<p><a href="http://www.thenation.com/article/162769/religious-right-propels-michele-bachmann-american-margaret-thatcher-over-top-iowa">Sarah Posner</a>, in the Nation.</p>
<blockquote><p>For Iowa voters, it appears that Bachmann’s Christian rhetoric was the primary motivator. In her speech inside the coliseum this afternoon, she said, “God has mightily put his hand, a blessing upon this nation. We can never think we did this ourselves. It was an Almighty God that gave it to us.”</p></blockquote>
<p><a href="http://motherjones.com/mojo/2011/08/bachmann-crushes-pawlenty-wins-ames-straw-poll">Tim Murphy</a>, Mother Jones.</p>
<blockquote><p>The dreadlocked Bachmann supporter in the &#8220;Jesus is my Rock&#8221; t-shirt might beg to difer, but in Iowa, Bachmann demonstrated that, at least in this truncated version of the GOP field, she is a rock star. Bachmann commanded a crowd twice as large as anyone else&#8217;s when she showed up at the Iowa State Fair to speak from the Des Moines Register &#8220;soapbox,&#8221; and she was the only one who had a state police escort. At her speech in Ames, she whipped the crowd into a frenzy (Only Paul, who was an anti-government crusader before it was cool, could come anywhere close). This, from Sandra Beak of Illinois, was a typical reaction from the congresswoman&#8217;s supporters: &#8220;I saw Michele Bachmann last night—Oh my gosh! That woman is energetic! She never stops! It&#8217;s amazing!&#8221;</p></blockquote>
<p><a href="http://dyn.politico.com/printstory.cfm?uuid=CCED2BAE-F129-41D9-BC1E-46FFB8B0C640">Ben Smith</a> in Politico</p>
<blockquote><p>Her sudden, Iowa-fueled rocket ride from backbench junior congresswoman to top contender shows that once more that the key early presidential state is poised to fall for a candidate who might have seemed completely implausible only months before. Bachmann seems to understand that—and sought after her win here Saturday to strike the elusive perfect balance between organization and emotion, and to match total immersion in an Iowa campaign with gestures that indicate a national candidacy. . . </p>
<p>To Bachmann’s supporters, her unambiguous stands on the debt and her sheer charisma were more than enough.</p>
<table align="right">
<tr>
<td><a href="http://jamie.workingagenda.com/blog/wp-content/uploads/2011/08/RodneySkinnervotes_Ottumwa_iowa_ap.jpg"><img src="http://jamie.workingagenda.com/blog/wp-content/uploads/2011/08/RodneySkinnervotes_Ottumwa_iowa_ap.jpg" width="350" height="240" /></a></td>
</tr>
<tr>
<td>AP Photo. Rodney Skinner, after voting.</td>
</tr>
</table>
<p>“The energy is amazing. It’s insane,” marveled Ruth Cousins, a nurse from Shell Rock and party regular who had volunteered for George W. Bush and Fred Thompson, but said she’d never seen anything like the crowd packing Bachmann’s tent at the Straw Poll.</p>
<p>Cousins cited Bachmann’s “personal appeal” as the crucial factor.</p>
<p>“She just lights it up,” she said.</p></blockquote>
<p><a href="http://thehill.com/blogs/blog-briefing-room/news/176773-dems-waste-no-time-casting-bachmann-and-paul-as-extreme">Michael O&#8217;Brien</a>, in the Hill.</p>
<blockquote><p>Rep. Debbie Wasserman Schultz (Fla.), the chairwoman of the Democratic National Committee (DNC), said that the results of the unofficial poll of Iowa Republicans&#8217; preference in a presidential candidate showed that the Tea Party had effectively seized control of the GOP. </p>
<p>&#8220;All of the Republican candidates have made clear their allegiance to the Tea Party, supporting extreme policies that would hurt the middle class, seniors, and students,&#8221; Wasserman Schultz said in a statement. &#8220;The only winner tonight was the Tea Party.&#8221;</p></blockquote>
<p><a href="http://www.politico.com/news/stories/0811/61346.html">Marin Cogan</a>, Politico</p>
<blockquote><p>In a sign of just how fluid the nominating process has become, Bachmann, until recently considered a long-shot candidate, sent her well-wishes to Pawlenty, once considered the safe Republican alternative to run against President Barack Obama.  Pawlenty’s lackluster performance in the straw poll Saturday and difficulty with national fundraising put an end to his campaign for president, clearing the way for the ascendant former state senator who once needled him in the legislature.</p></blockquote>
<p><a href="http://www.nytimes.com/2011/08/14/opinion/sunday/Bruni-adrift-in-iowa-tired-rituals-in-tough-times.html">Frank Bruni</a>, New York Times</p>
<blockquote><p>Bachmann’s debate performance was troubling. In her opening remarks, she caromed from senseless to ear-splitting, first saying that her vote against raising the debt ceiling had proved correct and then veritably yelping that Obama would be a one-term president.</p>
<p>But that wasn’t the scary part. The scary part was how little distance there was, really, between her and the others on the stage. For all of the agitated sniping between Bachmann and Pawlenty about her legislative record, between Ron Paul and Rick Santorum about Iran, and between Newt Gingrich and the panel of questioners about his alleged persecution, there was a stunning ideological uniformity on display. Among the eight candidates, not one brooked the possibility of any tax increases to help solve the debt problem, even though John Boehner, a fiscal conservative, seemed to have a mind partly open to that at the start of the debt-ceiling negotiations.</p></blockquote>
<p><a href="http://www.redstate.com/moe_lane/2011/08/14/breaking-pawlenty-to-drop-out-of-race/">Moe Lane</a>, RedState.Com</p>
<blockquote><p>I’m on the way out the door to catch a flight home from the RedState Gathering, so my brief take on this: with Pawlenty leaving we’re back down to three real candidates for the Republican nomination again (Bachmann, Perry, &#038; Romney).  All three benefit in the short term, obviously; in the long term this probably helps Romney most .</p>
<p>Unless the Bachmann campaign implodes, of course.  Bachmann’s probably going to end up wishing that she was competing with Pawlenty for attention instead of Perry.  And that confrontation won’t be helped by the fact that Pawlenty’s people are probably even now calling up Perry’s to find alternate employment (which they will get)…</p></blockquote>
<p><a href="http://www.washingtontimes.com/news/2011/aug/13/michele-bachman-wins-ames-straw-poll-gop-test-vote/">Seth McfLaughlin</a>, Washington Times</p>
<blockquote><p>Former Pennsylvania Sen. Rick Santorum walked into the sprawling media area and told reporters that his fourth-place finish showed that he’s gaining support, and that will continue to be the case in the coming months.</p>
<p>“We consider ourselves the fine wine candidate,” Mr. Santorum said. “We will age very, very, well in this campaign.”</p></blockquote>
<p><a href="http://campaign2012.washingtonexaminer.com/blogs/beltway-confidential/iowa-straw-poll-reverberations">Michael Barone</a>, Washington Examiner</p>
<blockquote><p>Rick Perry got 4% as a write-in, better than the 3% for Mitt Romney, who was on the ballot and who won four years ago, and 2% for Newt Gingrich. Jon Huntsman and Thaddeus McCotter each got, rounded off, 0%.</p>
<p>Consequences for the candidates:</p>
<p>Bachmann. She’s got a legitimate win.</p>
<p>Huntsman. His debate performance was surprisingly bad. Who were those 69 people who voted for him? But he’s basing his (increasingly dim) hopes on New Hampshire and South Carolina.</p>
<p>Palin. The Iowa Republican party didn’t announce whether she got any write-in votes, but by calculation she could not have gotten more than 218 votes and presumably she got even fewer. Reasonable conclusion: her appearance at the Iowa State Fair yesterday produced a lot fewer votes than Rick Perry’s announcement speech in Charleston.</p></blockquote>
<p><a href="http://marccooper.com/howl/">Marc Cooper</a>, Dissonance.</p>
<blockquote><p>Republicans may be crazy but they are not stupid. The real base of the party knows it needs someone who won’t scare little children to confront Obama in any real way. It ain’t gonna be Bachmann.</p></blockquote>
<p><a href="http://firedoglake.com/2011/08/13/late-night-fdl-michele-bachmann-wins-the-ames-straw-poll-fsm-have-mercy-on-us-all/">Bill Egnor</a>, Firedoglake</p>
<blockquote><p>Think back the first time you really noticed Rep. Bachmann.</p>
<p>For me, it was when she was on Chris Mathews’ show Hardball in the run up to the 2008 elections. Then she was committing the unforced error of saying that she thought there were a lot of members of Congress who were “Un-American” and that the press should be looking into it.</p>
<p>Back then she was just another wild-eyed Republican spouting the most ridiculous nonsense. The nonsense part has not changed at all, but what has changed is now she is a legitimate contender for the Republican nomination.</p>
<p>Sure, she is still wicky-in-the-whacky-woo, and normally that should spell doom for her (certainly almost all the GOP operatives from almost all the campaigns but hers will tell you so) but these aren’t exactly normal times. . . </p>
<p>It would be easy to make fun of Bachamann’s many gaffs and crazy positions but there is something more important going on here. I am never going to be a supporter of a Republican candidate. But they are still going to nominate one of the two people most likely to be in the White House come January 20th 2013.</p>
<p>That being the case, what the hell is going on with our nation that someone as nutty, as incurious, and as misinformed as Michele Bachmann is anywhere close to that nomination? Don’t we deserve serious candidates?</p></blockquote>
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		<title>The IRS Enhanced donation</title>
		<link>http://jamie.workingagenda.com/blog/2011/08/13/the-irs-enhanced-donation/</link>
		<comments>http://jamie.workingagenda.com/blog/2011/08/13/the-irs-enhanced-donation/#comments</comments>
		<pubDate>Sat, 13 Aug 2011 19:44:38 +0000</pubDate>
		<dc:creator>jamie</dc:creator>
				<category><![CDATA[Economics]]></category>

		<guid isPermaLink="false">http://jamie.workingagenda.com/blog/?p=1407</guid>
		<description><![CDATA[In 2000, Manon Ress wrote a memo for MSF on Tax Deductions for Pharmaceutical Drug Donations. These are the few notes about the enhanced donation rules, as they apply to drug donations. The IRS has special provisions for &#8220;enhanced&#8221; donations. For such donations, the taxpayer is able to deduct the lesser of 50 percent of [...]]]></description>
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<p>In 2000, Manon Ress wrote a memo for MSF on <a href="http://www.cptech.org/ip/health/econ/taxcode.html">Tax Deductions for Pharmaceutical Drug Donations</a>.  These are the few notes about the enhanced donation rules, as they apply to drug donations.</p>
<p>The IRS has special provisions for &#8220;enhanced&#8221; donations.  For such donations, the taxpayer is able to deduct the lesser of 50 percent of the fair market value of a donation, often associated with the retail price of a good, or twice the cost basis.  For drug company donations, the donation should be &#8220;used by the donee solely for the care of the ill, the needy, or infants.&#8221;  [26 USC 170 (e)(3)]<span id="more-1407"></span></p>
<blockquote><p>26 USC 170 (e)(3)(B) <strong>Amount of reduction</strong><br />
The reduction under paragraph (1)(A) for any qualified contribution (as defined in subparagraph (A)) shall be no greater than the sum of—<br />
(i) one-half of the amount computed under paragraph (1)(A) (computed without regard to this paragraph), and<br />
(ii) the amount (if any) by which the charitable contribution deduction under this section for any qualified contribution (computed by taking into account the amount determined in clause (i), but without regard to this clause) exceeds twice the basis of such property.</p></blockquote>
<p>As Ress noted in 2000, often the average cost of goods, as reflected in company accounting, is often much higher than the incremental cost of the goods, and is particularly attractive for cases where goods are nearing their expiration date, or a company is seeking to avoid reductions in its prices or compulsory licenses that would benefit generic competitors.   In some cases, US taxpayers pick up the tab for a type of differential or entry deterrent prices, and this  is not among the worst outcomes.  Health activists are more concerned about companies that donate products products that are near expiration, or unlikely be used appropriately, or for which the costs of administering the donation program are greater than the cost savings.  </p>
<p><strong>For more information:</strong></p>
<ol>
<li><a href="whqlibdoc.who.int/hq/1999/who_edm_par_99.4.pdf">WHO drug donation guidelines</a></li>
<li>Brook K Baker, Eva Ombaka, <a href="http://www.healthgap.org/documents/bakerandombaka.lancet-drugdonations.print.pdf">The danger of in-kind drug donations to the Global Fund</a>, <em>Lancet</em> 2009; 373: 1218–21, Published Online, October 9, 2008, DOI:10.1016/S0140- 6736(08)61487-7</li>
<li>Cristina P Pinheiro, <a href="http://www.who.int/bulletin/volumes/86/8/07-048546/en/">Drug donations: what lies beneath</a>, <em>Bulletin of the World Health Organization</em>, 1986. </li>
<li>Ronald Fowler and Amy Henchey, <a href="http://www.irs.gov/pub/irs-tege/eotopice94.pdf">IN-KIND CONTRIBUTIONS</a>, 1994 EO CPE</li>
</ol>
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		<title>The economic costs of lobbying of financial institutions and mortgage companies in the U.S.</title>
		<link>http://jamie.workingagenda.com/blog/2011/08/13/the-economic-costs-of-lobbying-of-financial-institutions-and-mortgage-companies-in-the-u-s/</link>
		<comments>http://jamie.workingagenda.com/blog/2011/08/13/the-economic-costs-of-lobbying-of-financial-institutions-and-mortgage-companies-in-the-u-s/#comments</comments>
		<pubDate>Sat, 13 Aug 2011 14:23:21 +0000</pubDate>
		<dc:creator>jamie</dc:creator>
				<category><![CDATA[Economics]]></category>
		<category><![CDATA[Politics]]></category>

		<guid isPermaLink="false">http://jamie.workingagenda.com/blog/?p=1399</guid>
		<description><![CDATA[Larry Lessig tweeted a link about this. In 2009, an IMF research paper took a look at the consequences of lobbying by financial institutions and mortgage companies in the U.S. WP/09/287 IMF Working Paper, Research Department A Fistful of Dollars: Lobbying and the Financial Crisis Prepared by Deniz Igan, Prachi Mishra, and Thierry Tressel Authorized [...]]]></description>
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<p>Larry Lessig tweeted a link about this.  In 2009, an IMF research paper took a look at the consequences of lobbying by financial institutions and mortgage companies in the U.S.<span id="more-1399"></span></p>
<blockquote><p>WP/09/287<br />
IMF Working Paper, Research Department<br />
<a href="www.imf.org/external/pubs/ft/wp/2009/wp09287.pdf">A Fistful of Dollars: Lobbying and the Financial Crisis</a><br />
Prepared by Deniz Igan, Prachi Mishra, and Thierry Tressel<br />
Authorized for distribution by Stijn Claessens<br />
December 2009</p></blockquote>
<p>Among the author&#8217;s conclusions:</p>
<blockquote><p>We show that lenders that lobby more intensively on these specific issues have (i) more lax lending standards measured by loan-to-income ratio, (ii) greater tendency to securitize, and (iii) faster growing mortgage loan portfolios. Ex post, delinquency rates are higher in areas in which lobbying lenders’ mortgage lending grew faster, and, during key events of the crisis, these lenders experienced negative abnormal stock returns. </p></blockquote>
<p>A revised version was later published on March 21, 2011 as <a href="http://www.nber.org/~confer/2011/Macro11/Igan_Mishra_Tressel.pdf">an NBER working paper with the same title</a>, and which was a subject of this April 26, 2011 <a href="http://blogs.wsj.com/economics/2011/04/26/lenders-who-lobbied-hardest-for-deregulation-took-most-risks/">blog in the WJS</a>.</p>
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		<title>Funny or die parody of the Newsweek cover shot of Michele Bachman</title>
		<link>http://jamie.workingagenda.com/blog/2011/08/13/funny-or-die-parody-of-the-newsweek-cover-shot-of-michele-bachman/</link>
		<comments>http://jamie.workingagenda.com/blog/2011/08/13/funny-or-die-parody-of-the-newsweek-cover-shot-of-michele-bachman/#comments</comments>
		<pubDate>Sat, 13 Aug 2011 12:37:35 +0000</pubDate>
		<dc:creator>jamie</dc:creator>
				<category><![CDATA[Politics]]></category>

		<guid isPermaLink="false">http://jamie.workingagenda.com/blog/?p=1396</guid>
		<description><![CDATA[This parody of the photo session for the Newsweek cover of Michelle Bachmann focuses largely on her husband, Marcus Bachmann, a &#8220;gay reparative therapist,&#8221; possibly in need of some self help. This is a link to Dr. Marcus Bachmann&#8217;s Christian counseling service: http://www.bachmanncounseling.com/]]></description>
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<p>This parody of the photo session for the Newsweek cover of Michelle Bachmann focuses largely on her husband, Marcus Bachmann, a &#8220;gay reparative therapist,&#8221; possibly in need of some self help.<br />
<embed src="http://c.brightcove.com/services/viewer/federated_f8/271557391" bgcolor="#FFFFFF" flashVars="videoId=1108379106001&#038;linkBaseURL=http%3A%2F%2Fwww.thedailybeast.com%2Fvideos.html&#038;playerId=271557391&#038;viewerSecureGatewayURL=https://console.brightcove.com/services/amfgateway&#038;servicesURL=http://services.brightcove.com/services&#038;cdnURL=http://admin.brightcove.com&#038;domain=embed&#038;autoStart=false&#038;" base="http://admin.brightcove.com" name="flashObj" width="486" height="412" seamlesstabbing="false" type="application/x-shockwave-flash" swLiveConnect="true" pluginspage="http://www.macromedia.com/shockwave/download/index.cgi?P1_Prod_Version=ShockwaveFlash"></embed></p>
<p>This is a link to Dr. Marcus Bachmann&#8217;s Christian counseling service:  <a href="http://www.bachmanncounseling.com/">http://www.bachmanncounseling.com/</a></p>
]]></content:encoded>
			<wfw:commentRss>http://jamie.workingagenda.com/blog/2011/08/13/funny-or-die-parody-of-the-newsweek-cover-shot-of-michele-bachman/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Employment of Computer and Information Research Scientists by state</title>
		<link>http://jamie.workingagenda.com/blog/2011/08/10/computer-and-information-research-scientists/</link>
		<comments>http://jamie.workingagenda.com/blog/2011/08/10/computer-and-information-research-scientists/#comments</comments>
		<pubDate>Thu, 11 Aug 2011 02:26:10 +0000</pubDate>
		<dc:creator>jamie</dc:creator>
				<category><![CDATA[Computers and Software]]></category>
		<category><![CDATA[Economics]]></category>

		<guid isPermaLink="false">http://jamie.workingagenda.com/blog/?p=1362</guid>
		<description><![CDATA[The U.S. Bureau of Labor Statistics publishes National Industry-Specific Occupational Employment and Wage Estimates. The BLS estimated 24,580 persons were employed as &#8220;Computer and Information Research Scientists&#8221; in 41 states. The employment occupation code is 15-1111. 52 percent of all jobs were in 5 states: California, Virginia, Maryland, Texas and Massachusetts. State Employment Percent California [...]]]></description>
			<content:encoded><![CDATA[<abbr class="unapi-id" title="http://jamie.workingagenda.com/blog/?p=1362"><!-- &nbsp; --></abbr>
<p>The U.S. Bureau of Labor Statistics publishes National Industry-Specific Occupational Employment and Wage Estimates.</p>
<p>The BLS estimated 24,580 persons were employed as &#8220;Computer and Information Research Scientists&#8221; in 41 states.  The employment occupation code is <a href="http://www.bls.gov/oes/current/oes151111.htm">15-1111</a>.  </p>
<p>52 percent of all jobs were in 5 states:  California, Virginia, Maryland, Texas and Massachusetts.<span id="more-1362"></span>  </p>
<table cellspacing="0" cellpadding="3" border="1">
<tr>
<td  valign="bottom"  align="left"  ><strong>State</strong></td>
<td  valign="bottom"  align="right"  ><strong>Employment</strong></td>
<td  valign="bottom"  align="right"  ><strong>Percent</strong></td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >California</td>
<td  valign="bottom"  align="right"  >4,440</td>
<td  valign="bottom"  align="right"  >18.1%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Virginia</td>
<td  valign="bottom"  align="right"  >3,360</td>
<td  valign="bottom"  align="right"  >13.7%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Maryland</td>
<td  valign="bottom"  align="right"  >2,100</td>
<td  valign="bottom"  align="right"  >8.5%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Texas</td>
<td  valign="bottom"  align="right"  >1,660</td>
<td  valign="bottom"  align="right"  >6.8%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Massachusetts</td>
<td  valign="bottom"  align="right"  >1,480</td>
<td  valign="bottom"  align="right"  >6.0%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >New Jersey</td>
<td  valign="bottom"  align="right"  >1,010</td>
<td  valign="bottom"  align="right"  >4.1%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Washington</td>
<td  valign="bottom"  align="right"  >960</td>
<td  valign="bottom"  align="right"  >3.9%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Pennsylvania</td>
<td  valign="bottom"  align="right"  >950</td>
<td  valign="bottom"  align="right"  >3.9%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >New York</td>
<td  valign="bottom"  align="right"  >840</td>
<td  valign="bottom"  align="right"  >3.4%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Illinois</td>
<td  valign="bottom"  align="right"  >790</td>
<td  valign="bottom"  align="right"  >3.2%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Florida</td>
<td  valign="bottom"  align="right"  >730</td>
<td  valign="bottom"  align="right"  >3.0%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Ohio</td>
<td  valign="bottom"  align="right"  >720</td>
<td  valign="bottom"  align="right"  >2.9%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Georgia</td>
<td  valign="bottom"  align="right"  >670</td>
<td  valign="bottom"  align="right"  >2.7%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Alabama</td>
<td  valign="bottom"  align="right"  >560</td>
<td  valign="bottom"  align="right"  >2.3%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Colorado</td>
<td  valign="bottom"  align="right"  >360</td>
<td  valign="bottom"  align="right"  >1.5%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Rhode Island</td>
<td  valign="bottom"  align="right"  >360</td>
<td  valign="bottom"  align="right"  >1.5%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >North Carolina</td>
<td  valign="bottom"  align="right"  >290</td>
<td  valign="bottom"  align="right"  >1.2%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Arizona</td>
<td  valign="bottom"  align="right"  >280</td>
<td  valign="bottom"  align="right"  >1.1%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >District of Columbia</td>
<td  valign="bottom"  align="right"  >280</td>
<td  valign="bottom"  align="right"  >1.1%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Mississippi</td>
<td  valign="bottom"  align="right"  >270</td>
<td  valign="bottom"  align="right"  >1.1%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Utah</td>
<td  valign="bottom"  align="right"  >270</td>
<td  valign="bottom"  align="right"  >1.1%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Connecticut</td>
<td  valign="bottom"  align="right"  >240</td>
<td  valign="bottom"  align="right"  >1.0%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Tennessee</td>
<td  valign="bottom"  align="right"  >220</td>
<td  valign="bottom"  align="right"  >0.9%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >South Carolina</td>
<td  valign="bottom"  align="right"  >210</td>
<td  valign="bottom"  align="right"  >0.9%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >New Mexico</td>
<td  valign="bottom"  align="right"  >190</td>
<td  valign="bottom"  align="right"  >0.8%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Michigan</td>
<td  valign="bottom"  align="right"  >170</td>
<td  valign="bottom"  align="right"  >0.7%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Minnesota</td>
<td  valign="bottom"  align="right"  >170</td>
<td  valign="bottom"  align="right"  >0.7%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Oklahoma</td>
<td  valign="bottom"  align="right"  >150</td>
<td  valign="bottom"  align="right"  >0.6%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Missouri</td>
<td  valign="bottom"  align="right"  >100</td>
<td  valign="bottom"  align="right"  >0.4%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Wisconsin</td>
<td  valign="bottom"  align="right"  >100</td>
<td  valign="bottom"  align="right"  >0.4%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Idaho</td>
<td  valign="bottom"  align="right"  >90</td>
<td  valign="bottom"  align="right"  >0.4%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Delaware</td>
<td  valign="bottom"  align="right"  >80</td>
<td  valign="bottom"  align="right"  >0.3%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Hawaii</td>
<td  valign="bottom"  align="right"  >80</td>
<td  valign="bottom"  align="right"  >0.3%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Kansas</td>
<td  valign="bottom"  align="right"  >70</td>
<td  valign="bottom"  align="right"  >0.3%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Arkansas</td>
<td  valign="bottom"  align="right"  >60</td>
<td  valign="bottom"  align="right"  >0.2%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >New Hampshire</td>
<td  valign="bottom"  align="right"  >60</td>
<td  valign="bottom"  align="right"  >0.2%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Oregon</td>
<td  valign="bottom"  align="right"  >60</td>
<td  valign="bottom"  align="right"  >0.2%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Nebraska</td>
<td  valign="bottom"  align="right"  >50</td>
<td  valign="bottom"  align="right"  >0.2%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Louisiana</td>
<td  valign="bottom"  align="right"  >40</td>
<td  valign="bottom"  align="right"  >0.2%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Iowa</td>
<td  valign="bottom"  align="right"  >30</td>
<td  valign="bottom"  align="right"  >0.1%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >South Dakota</td>
<td  valign="bottom"  align="right"  >30</td>
<td  valign="bottom"  align="right"  >0.1%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Indiana</td>
<td  valign="bottom"  align="right"  >no estimate</td>
<td  style=""></td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Kentucky</td>
<td  valign="bottom"  align="right"  ></td>
<td  style=""></td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Maine</td>
<td  valign="bottom"  align="right"  ></td>
<td  style=""></td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Montana</td>
<td  valign="bottom"  align="right"  >no data</td>
<td  style=""></td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Nevada</td>
<td  valign="bottom"  align="right"  ></td>
<td  style=""></td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >North Dakota</td>
<td  valign="bottom"  align="right"  ></td>
<td  style=""></td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Vermont</td>
<td  valign="bottom"  align="right"  ></td>
<td  style=""></td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >West Virginia</td>
<td  valign="bottom"  align="right"  ></td>
<td  style=""></td>
</tr>
</table>
<hr />
The following table compares the employment of Computer and Information Research Scientists to employment in all occupations.  Five states have more than 40 jobs for Computer and Information Research Scientists per 100,000 employees: Virginia, Maryland, Rhode Island, Massachusetts and the District of Columbia.</p>
<table cellspacing="0" cellpadding="3" border="1" width="350">
<tr>
<td  valign="bottom"  align="left"  ><strong>State</strong></td>
<td  valign="bottom"  align="left"  ><strong>15-1111, Computer and Information Research Scientists</strong></td>
<td  valign="bottom"  align="left"  ><strong>All employment</strong></td>
<td  valign="bottom"  align="left"  ><strong>15-1111 per 100,000 employment</strong></td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Virginia</td>
<td  valign="bottom"  align="right"  >3,360</td>
<td  valign="bottom"  align="right"  >3,527,350</td>
<td  valign="bottom"  align="right"  >95.3</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Maryland</td>
<td  valign="bottom"  align="right"  >2,100</td>
<td  valign="bottom"  align="right"  >2,462,470</td>
<td  valign="bottom"  align="right"  >85.3</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Rhode Island</td>
<td  valign="bottom"  align="right"  >360</td>
<td  valign="bottom"  align="right"  >448,150</td>
<td  valign="bottom"  align="right"  >80.3</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Massachusetts</td>
<td  valign="bottom"  align="right"  >1,480</td>
<td  valign="bottom"  align="right"  >3,119,100</td>
<td  valign="bottom"  align="right"  >47.4</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >District of Columbia</td>
<td  valign="bottom"  align="right"  >280</td>
<td  valign="bottom"  align="right"  >639,390</td>
<td  valign="bottom"  align="right"  >43.8</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Washington</td>
<td  valign="bottom"  align="right"  >960</td>
<td  valign="bottom"  align="right"  >2,693,220</td>
<td  valign="bottom"  align="right"  >35.6</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >California</td>
<td  valign="bottom"  align="right"  >4,440</td>
<td  valign="bottom"  align="right"  >14,001,730</td>
<td  valign="bottom"  align="right"  >31.7</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Alabama</td>
<td  valign="bottom"  align="right"  >560</td>
<td  valign="bottom"  align="right"  >1,807,480</td>
<td  valign="bottom"  align="right"  >31.0</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >New Jersey</td>
<td  valign="bottom"  align="right"  >1,010</td>
<td  valign="bottom"  align="right"  >3,770,550</td>
<td  valign="bottom"  align="right"  >26.8</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Mississippi</td>
<td  valign="bottom"  align="right"  >270</td>
<td  valign="bottom"  align="right"  >1,070,820</td>
<td  valign="bottom"  align="right"  >25.2</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >New Mexico</td>
<td  valign="bottom"  align="right"  >190</td>
<td  valign="bottom"  align="right"  >777,560</td>
<td  valign="bottom"  align="right"  >24.4</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Utah</td>
<td  valign="bottom"  align="right"  >270</td>
<td  valign="bottom"  align="right"  >1,148,520</td>
<td  valign="bottom"  align="right"  >23.5</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Delaware</td>
<td  valign="bottom"  align="right"  >80</td>
<td  valign="bottom"  align="right"  >397,730</td>
<td  valign="bottom"  align="right"  >20.1</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Georgia</td>
<td  valign="bottom"  align="right"  >670</td>
<td  valign="bottom"  align="right"  >3,744,740</td>
<td  valign="bottom"  align="right"  >17.9</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Pennsylvania</td>
<td  valign="bottom"  align="right"  >950</td>
<td  valign="bottom"  align="right"  >5,483,220</td>
<td  valign="bottom"  align="right"  >17.3</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Colorado</td>
<td  valign="bottom"  align="right"  >360</td>
<td  valign="bottom"  align="right"  >2,157,690</td>
<td  valign="bottom"  align="right"  >16.7</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Texas</td>
<td  valign="bottom"  align="right"  >1,660</td>
<td  valign="bottom"  align="right"  >10,089,870</td>
<td  valign="bottom"  align="right"  >16.5</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Idaho</td>
<td  valign="bottom"  align="right"  >90</td>
<td  valign="bottom"  align="right"  >594,750</td>
<td  valign="bottom"  align="right"  >15.1</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Connecticut</td>
<td  valign="bottom"  align="right"  >240</td>
<td  valign="bottom"  align="right"  >1,598,640</td>
<td  valign="bottom"  align="right"  >15.0</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Ohio</td>
<td  valign="bottom"  align="right"  >720</td>
<td  valign="bottom"  align="right"  >4,921,690</td>
<td  valign="bottom"  align="right"  >14.6</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Illinois</td>
<td  valign="bottom"  align="right"  >790</td>
<td  valign="bottom"  align="right"  >5,528,420</td>
<td  valign="bottom"  align="right"  >14.3</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Hawaii</td>
<td  valign="bottom"  align="right"  >80</td>
<td  valign="bottom"  align="right"  >571,630</td>
<td  valign="bottom"  align="right"  >14.0</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >South Carolina</td>
<td  valign="bottom"  align="right"  >210</td>
<td  valign="bottom"  align="right"  >1,746,820</td>
<td  valign="bottom"  align="right"  >12.0</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Arizona</td>
<td  valign="bottom"  align="right"  >280</td>
<td  valign="bottom"  align="right"  >2,367,120</td>
<td  valign="bottom"  align="right"  >11.8</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Florida</td>
<td  valign="bottom"  align="right"  >730</td>
<td  valign="bottom"  align="right"  >7,103,950</td>
<td  valign="bottom"  align="right"  >10.3</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Oklahoma</td>
<td  valign="bottom"  align="right"  >150</td>
<td  valign="bottom"  align="right"  >1,483,760</td>
<td  valign="bottom"  align="right"  >10.1</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >New York</td>
<td  valign="bottom"  align="right"  >840</td>
<td  valign="bottom"  align="right"  >8,344,020</td>
<td  valign="bottom"  align="right"  >10.1</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >New Hampshire</td>
<td  valign="bottom"  align="right"  >60</td>
<td  valign="bottom"  align="right"  >603,420</td>
<td  valign="bottom"  align="right"  >9.9</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Tennessee</td>
<td  valign="bottom"  align="right"  >220</td>
<td  valign="bottom"  align="right"  >2,569,420</td>
<td  valign="bottom"  align="right"  >8.6</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >South Dakota</td>
<td  valign="bottom"  align="right"  >30</td>
<td  valign="bottom"  align="right"  >387,590</td>
<td  valign="bottom"  align="right"  >7.7</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >North Carolina</td>
<td  valign="bottom"  align="right"  >290</td>
<td  valign="bottom"  align="right"  >3,772,780</td>
<td  valign="bottom"  align="right"  >7.7</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Minnesota</td>
<td  valign="bottom"  align="right"  >170</td>
<td  valign="bottom"  align="right"  >2,562,450</td>
<td  valign="bottom"  align="right"  >6.6</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Nebraska</td>
<td  valign="bottom"  align="right"  >50</td>
<td  valign="bottom"  align="right"  >901,690</td>
<td  valign="bottom"  align="right"  >5.5</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Kansas</td>
<td  valign="bottom"  align="right"  >70</td>
<td  valign="bottom"  align="right"  >1,304,780</td>
<td  valign="bottom"  align="right"  >5.4</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Arkansas</td>
<td  valign="bottom"  align="right"  >60</td>
<td  valign="bottom"  align="right"  >1,135,560</td>
<td  valign="bottom"  align="right"  >5.3</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Michigan</td>
<td  valign="bottom"  align="right"  >170</td>
<td  valign="bottom"  align="right"  >3,755,890</td>
<td  valign="bottom"  align="right"  >4.5</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Missouri</td>
<td  valign="bottom"  align="right"  >100</td>
<td  valign="bottom"  align="right"  >2,588,450</td>
<td  valign="bottom"  align="right"  >3.9</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Wisconsin</td>
<td  valign="bottom"  align="right"  >100</td>
<td  valign="bottom"  align="right"  >2,608,740</td>
<td  valign="bottom"  align="right"  >3.8</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Oregon</td>
<td  valign="bottom"  align="right"  >60</td>
<td  valign="bottom"  align="right"  >1,569,700</td>
<td  valign="bottom"  align="right"  >3.8</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Louisiana</td>
<td  valign="bottom"  align="right"  >40</td>
<td  valign="bottom"  align="right"  >1,832,830</td>
<td  valign="bottom"  align="right"  >2.2</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Iowa</td>
<td  valign="bottom"  align="right"  >30</td>
<td  valign="bottom"  align="right"  >1,438,510</td>
<td  valign="bottom"  align="right"  >2.1</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Alaska</td>
<td  style=""></td>
<td  valign="bottom"  align="right"  >308,050</td>
<td  valign="bottom"  align="right"  >0.0</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Indiana</td>
<td  valign="bottom"  align="right"  >**</td>
<td  valign="bottom"  align="right"  >2,724,850</td>
<td  style=""></td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Kentucky</td>
<td  style=""></td>
<td  valign="bottom"  align="right"  >1,716,060</td>
<td  valign="bottom"  align="right"  >0.0</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Maine</td>
<td  style=""></td>
<td  valign="bottom"  align="right"  >577,410</td>
<td  valign="bottom"  align="right"  >0.0</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Montana</td>
<td  style=""></td>
<td  valign="bottom"  align="right"  >424,300</td>
<td  valign="bottom"  align="right"  >0.0</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Nevada</td>
<td  style=""></td>
<td  valign="bottom"  align="right"  >1,113,530</td>
<td  valign="bottom"  align="right"  >0.0</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >North Dakota</td>
<td  style=""></td>
<td  valign="bottom"  align="right"  >355,710</td>
<td  valign="bottom"  align="right"  >0.0</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Vermont</td>
<td  style=""></td>
<td  valign="bottom"  align="right"  >286,990</td>
<td  valign="bottom"  align="right"  >0.0</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >West Virginia</td>
<td  style=""></td>
<td  valign="bottom"  align="right"  >688,170</td>
<td  valign="bottom"  align="right"  >0.0</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Wyoming</td>
<td  style=""></td>
<td  valign="bottom"  align="right"  >269,910</td>
<td  valign="bottom"  align="right"  >0.0</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Guam</td>
<td  style=""></td>
<td  valign="bottom"  align="right"  >59,560</td>
<td  valign="bottom"  align="right"  >0.0</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Puerto Rico</td>
<td  style=""></td>
<td  valign="bottom"  align="right"  >950,570</td>
<td  valign="bottom"  align="right"  >0.0</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Virgin Islands</td>
<td  style=""></td>
<td  valign="bottom"  align="right"  >42,700</td>
<td  valign="bottom"  align="right"  >0.0</td>
</tr>
</table>
<hr />
I was curious has to how employment in this sector was correlated with state unemployment rates.  This is the comparison for May-June 2010.  The short answer is that the two series are not correlated.  The R^2 for an OLS regression is just .01. </p>
<p><a href="http://jamie.workingagenda.com/blog/wp-content/uploads/2011/08/unemployment2.png"><img src="http://jamie.workingagenda.com/blog/wp-content/uploads/2011/08/unemployment2.png" width="600" height="462" /></a></p>
<hr />
<p>This is a BLS map of the location quotient[*] for occupation code 15-1111.</p>
<p><a href="http://jamie.workingagenda.com/blog/wp-content/uploads/2011/08/ml151111.gif"><img src="http://jamie.workingagenda.com/blog/wp-content/uploads/2011/08/ml151111.gif" width="800" height="569" class="aligncenter size-full wp-image-1374" /></a></p>
<p>(*) The location quotient is the ratio of the area concentration of occupational employment to the national average concentration. A location quotient greater than one indicates the occupation has a higher share of employment than average, and a location quotient less than one indicates the occupation is less prevalent in the area than average. </p>
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		<title>Some user generated databases</title>
		<link>http://jamie.workingagenda.com/blog/2011/08/08/some-user-generated-databases/</link>
		<comments>http://jamie.workingagenda.com/blog/2011/08/08/some-user-generated-databases/#comments</comments>
		<pubDate>Mon, 08 Aug 2011 21:40:45 +0000</pubDate>
		<dc:creator>jamie</dc:creator>
				<category><![CDATA[Economics]]></category>
		<category><![CDATA[Intellectual Property]]></category>
		<category><![CDATA[Technology]]></category>

		<guid isPermaLink="false">http://jamie.workingagenda.com/blog/?p=1271</guid>
		<description><![CDATA[KEI is interested in the development of sustainable mechanisms to strengthen the evidence for public policy decisions. One element of this work concerns user generated databases, an area of considerable interest, but mixed experience, in recent years. The following are examples of several such projects, beginning with the excellent Ensembl project, followed by several others [...]]]></description>
			<content:encoded><![CDATA[<abbr class="unapi-id" title="http://jamie.workingagenda.com/blog/?p=1271"><!-- &nbsp; --></abbr>
<p>KEI is interested in the development of sustainable mechanisms to strengthen the evidence for public policy decisions.  One element of this work concerns user generated databases, an area of considerable interest, but mixed experience, in recent years.  The following are examples of several such projects, beginning with the excellent Ensembl project, followed by several others of varying degrees of success in their implementation.</p>
<p>As this brief list shows, there are all sorts of ways to design and manage user generated databases.   In some cases, the database services seem to be set up more to showcase a technology or an idea for a platform.  In other cases, the database is a focused effort to solve a practical and well identified user interest.  Some are run by for profit companies, others by non-profits, individuals or communities.  The databases take different approaches in terms of database design, attention to standards for data formats, and governance, among other issues. </p>
<p><a href="http://ensembl.org"><strong>The Ensembl Project</strong></a></p>
<blockquote><p>The Ensembl project produces genome databases for vertebrates and other eukaryotic species, and makes this information freely available online.  The Ensembl project was started in 1999, some years before the draft human genome was completed. Even at that early stage it was clear that manual annotation of 3 billion base pairs of sequence would not be able to offer researchers timely access to the latest data. The goal of Ensembl was therefore to automatically annotate the genome, integrate this annotation with other available biological data and make all this publicly available via the web. Since the website&#8217;s launch in July 2000, many more genomes have been added to Ensembl and the range of available data has also expanded to include comparative genomics, variation and regulatory data.</p>
<p>The number of people involved in the project has also steadily increased. Currently, the Ensembl group consists of between 40 and 50 people, divided in a number of teams. <span id="more-1271"></span>The Genebuild team creates the gene sets for the various species. The result of their work is stored in the core databases, which are taken care of by the Software team. This team also develops and maintains the BioMart data mining tool. The Compara, Variation and Regulation teams are responsible for the comparative and the variation and regulatory data, respectively. The Web team makes sure that all data are presented on the website in a clear and user-friendly way. Finally the Outreach team answers questions from users and gives workshops worldwide about the use of Ensembl. The Ensembl project is headed by Paul Flicek and Steve Searle, and receives input from an independent scientific advisory board.</p>
<p>Ensembl is a joint project between European Bioinformatics Institute (EBI), an outstation of the European Molecular Biology Laboratory (EMBL), and the Wellcome Trust Sanger Institute (WTSI). Both institutes are located on the Wellcome Trust Genome Campus in Hinxton, south of the city of Cambridge, United Kingdom.
</p></blockquote>
<p><strong><a href="PhotoEnforced.com">PhotoEnforced.com</a></strong></p>
<blockquote><p>PhotoEnforced.Com is a user generated or crowd sourced database of photo enforced locations.  The open database of locations and fines is continually updated by anonymous users from around the U.S.  The majority of the database currently contains red light cameras and speed cameras.  However, as photo enforcement becomes an increasingly popular source of revenue for cities around the U.S. other photo enforcement techniques such as illegal right turn cameras, bus lane cameras, parking cameras, toll booth cameras, carpool lane enforcement, railroad cameras will soon be coming online.  The database consists of more than 6,400+ locations, fines and it is growing everyday. </p></blockquote>
<p><strong><a href="http://Discogs.com">Discogs.com</a></strong></p>
<blockquote><p>Discogs is a user-built database containing information on artists, labels, and their recordings. Discogs also incorporates a Marketplace where you can buy and sell the recordings. Discogs is constantly growing as users submit releases to the database</p></blockquote>
<p><a href="http://www.whosampled.com/ "><strong>whosampled.com</strong><br />
</a></p>
<blockquote><p>WhoSampled.com is a community site for discovering and discussing sampled music, remixes and cover songs. Anyone can submit information about a sample, remix or cover and subject to approval it will be published on the site to be discovered and discussed by the world. WhoSampled was created out of our love for sampling, music history and music production. It aims not only to be the most comprehensive, detailed and accurate database of samples, remixes and covers on the web but also a fun and engaging place to be at. This website is all about the discovery of new and old music, the exploration of musical influences and the sharing of knowledge. </p></blockquote>
<p><strong><a href="http://www.deathpenaltyinfo.org/death-row-database">Death Row Database</a></strong></p>
<blockquote><p>A database of death row prisoners in the U.S. created by OpposingViews.com.  The database contains sortable information on death row inmates in each state, including their race, county, and date of birth.  The content of the database is largely user-generated. The information in the database is editable, and individuals with knowledge of death row inmates may change or add new information. DPIC has no part in the creation or maintenance of this database, nor can we vouch for its accuracy. It may be a useful  tool in exploring how the death penalty is applied. </p></blockquote>
<p><a href="http://ReverseNumber.co.uk"><strong>ReverseNumber.co.uk</strong></a> </p>
<blockquote><p>Have you ever gotten a call from a number and wish you knew who they were, or why they were calling? ReverseNumber.co.uk is a user generated, phone number lookup service made for people in the UK who want this valuable information from other individuals just like them. You can also leave your own feedback about your experience with the caller to help the community.</p></blockquote>
<p><a href="http://www.bodylogs.com/"><strong>Bodylogs</strong></a><br />
While this site has an interesting purpose, it does not look that well implemented in practice:</p>
<blockquote><p>The purpose of this site is to allow people from around the world to access and contribute to a global database of user-generated health content. Bodylogs collects anecdotal information relating to a certain health topic under the premise that in large amounts this information becomes very powerful. The mission of Bodylogs is to use anecdotal data from everyday people to draw meaningful inferences concerning health and medicine for the sake of furthering the health-related goals of it&#8217;s users. We believe that helpful, unbiased, and accurate information regarding health should be easily accessible to everyone. Bodylogs was created for this very reason. </p></blockquote>
<p><a href="http://www.publicearth.com/"><strong>publicearth.com</strong></a><br />
This database seems to be largely populated by entries from hotel operators </p>
<p><a href="http://accessibilitymapr.com/"><strong>Accessibility Mapr</strong></a></p>
<blockquote><p>Accessibility Mapr is like a cross between Wikipedia, Google Maps, and a disability access map. Anyone can add information about the accessibility of any location on earth to the map, and the information is then available for all to freely view.</p>
<p>Why did you create Accessibilty Mapr?  I&#8217;m a wheelchair user and I spend a great deal of time trying to work out if various places that I want to or need to go to are going to be accessible. Often they&#8217;re not, which sucks. But equally unjust, I would argue, is how difficult it can be to get accessibility information without going to the location in person. Sure, some large organisations and businesses publish accessibility information on their websites, but the quality of the information varies and can be difficult to find. And most small businesses haven&#8217;t even thought about accessibility, let alone publicized it. You can ring up, but what guarantee do you have that the person on the other end knows what they&#8217;re talking about.  My hope is that Accessibility Mapr can be a repository of grass roots accessibility knowledge: for people with disabilities, by people with disabilities. </p></blockquote>
<p><strong><a href="http://www.necd.org.uk/">National Equestrian Crime Database</a></strong></p>
<blockquote><p>NECD is the most advanced equestrian crime database in the world. It is designed to protect your horse, your equestrian estate, your passion.  NECD uniquely blends the two worlds of the equestrian and advanced information technology with the sole aim of protecting equestrian estate. Two years in development, NECD and has gained the backing and support of the most influential equestrian organisations in the UK. </p></blockquote>
<p><a href="http://en.wikipedia.org/wiki/OpenStreetMap"><strong>OpenStreetMap</strong></a><br />
This is a collaborative project to create a free editable map of the world.  From today&#8217;s Wikipedia:</p>
<blockquote><p>OpenStreetMap (OSM) was founded in July 2004 by Steve Coast. In April 2006, the OpenStreetMap Foundation (OSMF) was established to encourage the growth, development and distribution of free geospatial data and provide geospatial data for anybody to use and share. In December 2006, Yahoo confirmed that OpenStreetMap could use its aerial photography as a backdrop for map production. In April 2007, Automotive Navigation Data (AND) donated a complete road data set for the Netherlands and trunk road data for India and China to the project and by July 2007, when the first OSM international The State of the Map conference was held there were 9,000 registered users. Sponsors of the event included Google, Yahoo and Multimap. In August 2007 an independent project, OpenAerialMap, was launched, to hold a database of aerial photography available on open licensing and in October 2007 OpenStreetMap completed the import of a US Census TIGER road dataset.  In December 2007 Oxford University became the first major organisation to use OpenStreetMap data on their main website.  In January 2008, functionality was made available to download map data into a GPS unit for use by cyclists. In February 2008 a series of workshops were held in India. In March two founders announced that they have received venture capital funding of 2.4m euros for CloudMade, a commercial company that will use OpenStreetMap data.</p></blockquote>
<p><a href="http://www.plantdatabase.co.uk/"><strong>http://www.plantdatabase.co.uk/</strong></a></p>
<blockquote><p>This site has been developed to enable anyone interested in plants to contribute data; whether a gardener, researcher, a student or someone who just likes plants. Everybody knows something. We have the images in categories so that plants can be identified, seasonal influences seen at a glance, and lifecycles shown from seed to maturity.</p></blockquote>
<p><strong><a href="http://freebase.com">Freebase</a></strong><br />
A history of Freebase is available from the Freebase Wiki <a href="http://wiki.freebase.com/wiki/History_of_Freebase">here</a>, and some more information is avaiable from <a href="http://en.wikipedia.org/wiki/Freebase">http://en.wikipedia.org/wiki/Freebase</a>.  The Freebase domain and trademark are owned by  Metaweb, a firm acquired by Google in 2010.  Freebase claims to have 374,600,492 &#8220;facts&#8221; and nearly 23 million topics.  </p>
<blockquote><p>
Freebase has information about approximately 23 million Topics or Entities. Each one has a unique Id, which can help distinguish multiple entities which have similar names, such as Henry Ford the industrialist vs Henry Ford the footballer. Most of our topics are associated with one or more types (such as people, places, books, films, etc) and may have additional properties like &#8220;date of birth&#8221; for a person or latitude and longitude for a location. These types and properties and related concepts are called Schema. Anyone can contribute data to Freebase, and you can also build your own schema in a Base if Freebase does not yet have schema for a subject you&#8217;re interested in.<br />
Where does the data come from? Data in Freebase comes from a variety of Data sources. Some data is loaded by automated Data Pipelines, some uploaded in bulk, either by Metaweb&#8217;s Data team or by our Community of contributors using our API or other data loading tools. Other data is manually added piece by piece by individuals who simply use the website to edit topics.</p></blockquote>
<p><strong><a href="http://ClinicalTrials.gov">ClinicalTrials.gov</a></strong>.</p>
<blockquote><p>ClinicalTrials.gov currently contains 111,738 trials sponsored by the National Institutes of Health, other federal agencies, and private industry. Studies listed in the database are conducted in all 50 States and in 175 countries.   ClinicalTrials.gov receives over 50 million page views per month 65,000 visitors daily.</p>
<p>A Protocol Registration System (PRS) account is required for submitting study information to ClinicalTrials.gov. Data submitters must coordinate with all of their partners so that trial information is submitted only once, by one of the entities listed below, to ClinicalTrials.gov.   Trial data may be submitted by the following entities: </p>
<ul>
<li>Sponsors legally responsible for conducting clinical trials, e.g., holders of investigational new drug applications from the U.S. Food and Drug Administration.</li>
<li>Governmental or international agencies conducting or supporting clinical trials, e.g., the U.S. National Institutes of Health.</li>
<li>Lead principal investigators who are responsible for conducting and coordinating the overall clinical investigation across multiple study sites. Trial data should not be submitted from each individual study location.</li>
</ul>
</blockquote>
<p><a href="http://wheredoesmymoneygo.org/"><strong>Where does my money go?</strong></a></p>
<blockquote><p>Where Does My Money Go? aims to promote transparency and citizen engagement through the analysis and visualisation of information about UK public spending.  It is an independent non-partisan project run by the Open Knowledge Foundation. We&#8217;re trying to make government finances much easier to explore and understand &#8211; so you can see where every pound of your taxes gets spent.  </p>
<p>Where Does My Money Go? was first developed as an idea by the Open Knowledge Foundation‘s Jonathan Gray in 2007.  In November 2008 the project was a winner of the UK Government’s Show Us a Better Way competition. The project received a small grant in summer 2009 from the UK Government to develop a prototype, which was launched in autumn 2009. In 2010 the project received funding from Channel 4′s 4iP to support further development.</p>
<p>The Open Knowledge Foundation (OKF) is a not-for-profit organization dedicating to making information open — available for anyone to access and re-use.   This is citizen-driven project not only in the sense that citizens like yourself will be its users, but to gather and analyse the data we are going to need your help to do it.</p></blockquote>
<p><a href="http://www.saferproducts.gov/"><strong>Saferproducts.Gov</strong></a></p>
<blockquote><p>In August 2008, Congress passed the Consumer Product Safety Improvement Act (CPSIA). Section 212 of the CPSIA requires the U.S. Consumer Product Safety Commission (CPSC) to create, by March 2011, a searchable public database of reports of harm (Reports) related to the use of consumer products and other products or substances within the jurisdiction of the CPSC.</p>
<p>The U.S. Consumer Product Safety Commission&#8217;s Publicly Available Consumer Product Safety Information Database (Database) is a publicly searchable database where submitters can report to the CPSC a harm or risk of harm related to the use of a consumer product or other product or substance within the jurisdiction of the CPSC.</p>
<p>Members of the public can search the Database for safety information about products that are in their home already, or that they may be thinking about purchasing. Beginning March 11, 2011, reports of harm or “Reports,” that contain minimum information required by law and that provide the submitter’s consent, will be posted in the Database on our website at: www.SaferProducts.gov. The public can search the Database and review Reports approximately 15 business days after a Report is submitted to the CPSC.</p>
<p>Product manufacturers (including importers) and private labelers that are identified in a Report may submit comments to be displayed in the Database along with the Report. Information about product recalls is also available for search and review in the Database. The Database represents a new level of transparency for the CPSC, allowing the public to have immediate access to safety information about consumer products.</p></blockquote>
<p><a href="http://rodas.heinz.cmu.edu/potholes"><strong>Road Damage Assessment System</strong></a><br />
According to a March 17, 2011 <a href="http://dailycrowdsource.com/2011/03/17/earth/geography/crowdsourced-pothole-database-to-track-road-repair/">Article</a> in Dailycrowdsource.com: </p>
<blockquote><p>All motorists are aware of the bane of potholes that occur during each spring thaw. While a motorist’s reflex is to simply avoid a pothole and hope for a repair soon, a new project by the Carnegie Mellon University permits you to take an active role in road repair. If you have a GPS linked cell phone and a Facebook account, you can easily provide instant alerts to the concerned department on potholes in an area.</p>
<p>The project termed Road Damage Assessment System (RODAS), enables anyone to upload an image of the pothole via their Facebook account. The software will then link the uploaded image to an online map, thus creating a consolidated crowdsourced database of potholes. Pennsylvania Business Council’s PBC Education Foundation and the Pennsylvania Boroughs Association through its Chrostwaite Institute have provided seed funding for the project. While this project is helpful in creating a database of roads that need repair, the power will only fully be utilized if community members continue to upload the latest status of the potholes submitted by them. The project is headed up by Robert Strauss, Professor of Economics and Public Policy working alongside Takeo Kanade, Professor of Robotics and Computer Science.</p></blockquote>
<p><strong><a href="http://www.tripadvisor.com/">TRIP advisor</a></strong><br />
Claims 50 million reviews and opinions.</p>
<p><a href="http://www.worldmemoryproject.org/"><strong>World Memory Project</strong></a></p>
<blockquote><p>The United States Holocaust Memorial Museum has gathered millions of historical documents containing details about survivors and victims of the Holocaust and Nazi persecution during World War II.</p>
<p>Ancestry.com has spent more than a decade creating advanced technological tools that have allowed billions of historical documents to become searchable online.</p>
<p>Together, the two organizations have created the World Memory Project to allow the public to help make the records from the Museum searchable by name online for free—so more families of survivors and victims can discover what happened to their loved ones during one of the darkest chapters in human history.</p>
<p>The World Memory Project will build the largest free online resource of information about victims and survivors of Nazi persecution—to restore the identities of people the Nazis tried to erase from history and enable families to discover the fates of missing loved ones. The project allows anyone, anywhere to type information from historical records into databases that will be made searchable online for free.</p></blockquote>
<p><a href="http://www.factual.com"><strong>Factual.Com</strong></a><br />
My impression of Factual.Com is that is a service looking to be sold, without much attention of the practical issues of users.  Here is how the owner describes the service. </p>
<blockquote><p>Factual was founded in 2007 by Gil Elbaz, co-founder of Applied Semantics (which launched ASI&#8217;s AdSense product). Applied Semantics was acquired by Google in 2003. Gil has had a lifelong passion for organizing and structuring information, and building smart tools which can make better sense of data. To that end, he set out to develop an open data platform and community in an effort to maximize data accuracy, transparency, and availability. Fellow data lovers &#8212; Tim Chklovski, chief scientist &#038; founding engineer, Eva Ho, an ex-Googler, along with Bill Michels, former GM of Yahoo BOSS, have joined him in this ambitious project.   We are very excited to have an extremely impressive group of investors join us in our mission: Andreessen Horowitz, Auren Hoffman, Aydin Senkut, Bill Gross, Esther Dyson, Founder Collective, GRP Partners, Gunderson Dettmer, Index Ventures, Lee and June Stein, Marten Mickos, Michael Ovitz, Miramar Venture Partners, Richard Rosenblatt, Scott Kurnit, SV Angel, Thomas Lehrman, and Tom Unterman.</p></blockquote>
<p><a href="http://www.african-origins.org/"><strong>Africa Origins</strong></a></p>
<blockquote><p>African Origins contains information about the migration histories of Africans forcibly carried on slave ships into the Atlantic. Using detailed information on 9,453 Africans liberated by Courts of Mixed Commission, this resource presents geographic, ethnic, and linguistic data on peoples captured in Africa and pulled into the slave trade. Through contributions to this website by Africans, members of the African Diaspora, and others, we hope to realize the history of the millions of Africans captured and sold into slavery during suppression of transatlantic slave trading in the 19th century.</p>
<p>If you are familiar with any African names or naming practices, you will be able to contribute to this project. By suggesting a modern counterpart for an African name recorded in the historical registers, as well as ethno-linguistic groups that use that name, you help to identify the likely linguistic, cultural, and geographic origins of that African.</p>
<p>You can begin by entering an African name you know into the search box on the African-Origins home page. You are encouraged to select a country (if you know what country is associated with the name you entered) and the gender associated with the name (if appropriate). Then click the “Explore” button for a list of exact or similar sounding names from those recorded in the Court of Mixed Commission registers. By clicking on a row in the table of results, you can see all recorded and imputed information for that African, and a link to the form for making a contribution to that African’s identify.</p>
<p>Scholars familiar with African names, naming practices, languages and ethno-linguistic groups will review the cumulative responses for names such as those that you furnished, looking for consensus among respondents like you. It is expected that persons like you and responses like yours will be highly correlated, allowing the editors to determine with degrees of certainty (based on contributions) where certain names likely came from. Since most of the African languages and names are geocentric, the work of contributors like you and the editors will likely result in certain areas on the African continent being highlighted as the geographic origins of the Africans who were enslaved and recaptured, and who ended up on the registers of the Courts of Mixed Commissions.
</p></blockquote>
<p><a href="http://www.poderopedia.com/"><strong>http://www.poderopedia.com/</strong></a></p>
<blockquote><p>To promote greater transparency in Chile, Poderopedia (Powerpedia) will be an editorial and crowdsourced database that highlights the links among the country’s elite. Using data visualization, the site will investigate and illustrate the connections among people, companies and institutions, shedding light on any conflicts of interests. Crowdsourced information will be vetted by professional journalists before it is posted. Entries will include an editorial overview, a relationship map and links to the sources of information.</p></blockquote>
<p><a href="http://www.regardscitoyens.org/transparence-france/etude-lobbying/"><strong>Regards Citoyens database of French lobbying</strong></a></p>
<blockquote><p>L&#8217;influence des lobbyistes à l&#8217;Assemblée nationale est difficile à quantifier du fait des diverses formes qu&#8217;elle peut prendre : discussions informelles, réunions en tête-à-tête, suggestions d&#8217;amendement&#8230; La seule information fiable sur les contacts qu&#8217;ils peuvent entretenir avec les députés se trouve dans les listes d&#8217;auditions présentées en annexes des rapports parlementaires.</p>
<p>Ces rapports sont la synthèse du travail mené par des députés visant à étudier l&#8217;impact d&#8217;un projet de loi ou à réaliser un travail de contrôle. De nombreux entretiens sont conduits afin de collecter les points de vue d&#8217;un maximum d&#8217;acteurs concernés. L&#8217;étude des personnes auditionnées dans le cadre de ces rapports devrait dès lors permettre d&#8217;établir une première cartographie des « influenceurs » jugés importants par les députés.</p>
<p>Pour réaliser cette étude, Transparence International France et Regards Citoyens ont décidé de s&#8217;associer pour analyser tous les rapports publiés à l&#8217;Assemblée nationale depuis le début de la législature. La première étape de ce projet nous a conduits à collecter, au sein de ces rapports, les noms des personnes auditionnées. Plus de 15 000 au total ! L&#8217;identification de chacun représentant un travail titanesque, nous avons décidé de solliciter l&#8217;aide des internautes pour nous aider à reconnaitre les organisations représentées.</p></blockquote>
<p><strong><a href="http://www.imdb.com/">The Internet Movie Database (IMDb</a></strong></p>
<blockquote><p>Since 1990, an incredibly diverse range of people across the globe have been adding, refining and correcting the data on our pages. It’s an ever-evolving process and we invite you to become a part of it. You do have to be registered first, but it’s free and it’s painless.   What is a Contributor? Quite simply, a contributor is anyone who submits information for display on the site. There is a huge variety of data that can be added, such as a new Title (i.e. Movies, TV shows, Video Games etc.), Names (actors, writers, film crew, celebrities etc.) and numerous other categories such as directors, producers, trivia, goofs, soundtracks, quotes, release dates.  Adding Data to the IMDb Adding information (we call it &#8216;data&#8217;) is a very simple process, and we always welcome new Contributors. Below, you&#8217;ll find all the info you&#8217;ll need to start updating the site.</p>
<p>Every piece of data submitted to the IMDb is checked by the Database Content Team before it goes live. The team is split into three project groups, each with a specific area of responsibility. For 2011, these responsibilities are:</p>
<ul>
<li>Contribution &#8211; Improving all aspects of the contribution process.</li>
<li>Coverage &#8211; Filling data gaps and expanding our content coverage.</li>
<li>Smart-Processing &#8211; Improving our internal processing workflows.</li>
</ul>
</blockquote>
<p>According to Richard Sexton, IMDB project was born at the University of Cardiff, but traces its roots to the Usenet newsgroup rec.arts.movies.</p>
<p><strong><a href="http://www.geni.com/">Geni.Com</a></strong></p>
<blockquote><p>Geni is solving the problem of genealogy by inviting the world to build the definitive online family tree. Using the basic free service at Geni.com, users add and invite their relatives to join their family tree, which Geni compares to other trees. Matching trees are then merged into the single world family tree, which currently contains nearly 50 million living users and their ancestors. Pay services include enhanced research tools as well as keepsake products created from family tree data. Geni welcomes casual genealogists and experts who wish to discover new relatives and stay in touch with family. Geni is privately held and based in Los Angeles, California.</p></blockquote>
<p><strong><a href="http://www.mytrees.com/">Mytrees.com</a></strong></p>
<blockquote><p>Our mission is to provide a platform where genealogists from around the world can share their research with each other. We are also dedicated to enriching our research archives with resources that will benefit you, our patron and fellow family history researcher. Data freely given is freely shared. It is our policy to freely share data whenever the costs for that data allow us to provide it free of charge. Our Ancestry Archive Index is totally free.<br />
Total Ancestry Archive Names:	    532,201,664<br />
Family Tree Names:	 278,514,106<br />
1930 US Federal Census Names:	 106,016,291<br />
Social Security Death Index Names:	 86,029,291<br />
1860 US Federal Census Names:	 25,123,623<br />
Internet Names:	 20,655,310<br />
Other Flat Record Names:	 4,659,837<br />
US Civil War Record Names:	 4,050,069<br />
US Naturalization Record Names:	 3,684,325<br />
US Revolutionary War Pension Application File Names:	 3,468,812</p></blockquote>
<p><a href="http://www.onegreatfamily.com"><strong>OneGreatFamily.Com</strong></a></p>
<blockquote><p>OneGreatFamily is a single, shared family tree built by people all over the world. The OneGreatFamily Tree is a powerful genealogy database that is shared and built by people like you from all over the world. Everyone&#8217;s genealogy ties into the OneGreatFamily Tree.  Our database of over has over 190 million unique entries.</p></blockquote>
<p><strong><a href="http://www.wikipedia.org/">Wikipedia</a></strong><br />
Ed Summers asked that I also include Wikipedia:</p>
<blockquote><p>Wikipedia is a multilingual, web-based, free-content encyclopedia project based on an openly editable model. Wikipedia&#8217;s articles provide links to guide the user to related pages with additional information. Wikipedia is written collaboratively by largely anonymous Internet volunteers who write without pay. Anyone with Internet access can write and make changes to Wikipedia articles (except in certain cases where editing is restricted to prevent disruption or vandalism). Users can contribute anonymously, under a pseudonym, or with their real identity, if they choose.  Since its creation in 2001, Wikipedia has grown rapidly into one of the largest reference websites, attracting 400 million unique visitors monthly as of March 2011 according to ComScore. There are more than 82,000 active contributors working on more than 19,000,000 articles in more than 270 languages. As of today, there are 3,705,468 articles in English.</p></blockquote>
<p>The Wikimedia Founation also operates several other projects, including Wiktionary, Wikiquote, Wikibooks, Wikisource, Wikinew, Wikiversity, Wikispecies, Mediawiki, Wikimedia Meta-Wiki, Wikimedia Commons, And Wikimedia Incubator.</p>
<p><strong><a href="http://images.Killi.NET">images.Killi.NET</a></strong><br />
This is a database of pictures of killifish.  The manager of the database is Richard Sexton.  The database lists all Cyprinodontiform fishes, organizing them using a three letter mnemonic that was invented by Col. J.J. Scheel of Denmark.</p>
<p><a href="http://hapmap.ncbi.nlm.nih.gov/"><strong>International HapMap Project</strong></a></p>
<blockquote><p>The International HapMap Project is a multi-country effort to identify and catalog genetic similarities and differences in human beings. Using the information in the HapMap, researchers will be able to find genes that affect health, disease, and individual responses to medications and environmental factors. One goal of the International HapMap Project is to compare the genetic sequences of different individuals to identify chromosomal regions where genetic variants are shared.  The Project is a collaboration among scientists and funding agencies from Japan, the United Kingdom, Canada, China, Nigeria, and the United States. It officially started with a meeting on October 27 to 29, 2002.  It involved phases of data collection and analysis.  The complete data obtained in Phase I were published on 27 October 2005. The analysis of the Phase II dataset was published in October 2007. The Phase III dataset was released in spring 2009.
</p></blockquote>
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		<title>Market cap per employee, and rate of R&amp;D spending, for large pharmaceutical companies</title>
		<link>http://jamie.workingagenda.com/blog/2011/08/08/market-cap-per-employee-and-rate-of-rd-spending-for-large-pharmaceutical-companies/</link>
		<comments>http://jamie.workingagenda.com/blog/2011/08/08/market-cap-per-employee-and-rate-of-rd-spending-for-large-pharmaceutical-companies/#comments</comments>
		<pubDate>Mon, 08 Aug 2011 16:37:14 +0000</pubDate>
		<dc:creator>jamie</dc:creator>
				<category><![CDATA[Economics]]></category>
		<category><![CDATA[Medical Technologies]]></category>

		<guid isPermaLink="false">http://jamie.workingagenda.com/blog/?p=1249</guid>
		<description><![CDATA[Among large bio-pharmaceutical firms, Gilead is an outlier in terms of market cap per employee. The data is also presented in the table below. Firm R&#38;D spending as percent of 2011 2nd quarter revenue Market Cap, billions of USD (August 7, 2011) Number of Employees Mrk Cap /employees Johnson &#38; Johnson 11.3% $&#8202; 171.90 115,000 [...]]]></description>
			<content:encoded><![CDATA[<abbr class="unapi-id" title="http://jamie.workingagenda.com/blog/?p=1249"><!-- &nbsp; --></abbr>
<p>Among large bio-pharmaceutical firms, Gilead is an <a href="http://en.wikipedia.org/wiki/Outlier">outlier </a>in terms of market cap per employee.<span id="more-1249"></span></p>
<p><a href="http://jamie.workingagenda.com/blog/wp-content/uploads/2011/08/cap-employee_667x861.png"><img src="http://jamie.workingagenda.com/blog/wp-content/uploads/2011/08/cap-employee_667x861.png" alt="" title="cap-employee_667x861" width="500" height="645.5" class="aligncenter size-full wp-image-1251" /></a></p>
<p>The data is also presented in the table below.  </p>
<table cellspacing="0" cellpadding="3" border="1" width="500">
<tr>
<td  valign="bottom"  align="left"  style="background:#99CCFF; "><strong>Firm</strong></td>
<td  valign="bottom"  align="right"  style="background:#99CCFF; "><strong>R&amp;D spending as percent of 2011 2nd quarter revenue</strong></td>
<td  valign="bottom"  align="right"  style="background:#99CCFF; "><strong> Market Cap, billions of USD (August 7, 2011)</strong> </td>
<td  valign="bottom"  align="right"  style="background:#99CCFF; "><strong>Number of Employees</strong></td>
<td  valign="bottom"  align="right"  style="background:#99CCFF; "><strong>Mrk Cap /employees</strong> </td>
</tr>
<tr>
<td  valign="bottom"  align="left"  style=" ">Johnson &amp; Johnson</td>
<td  valign="bottom"  align="right"  style=" ">11.3%</td>
<td  valign="bottom"  align="right"  style=" "> $&#8202;  171.90 </td>
<td  valign="bottom"  align="right"  style=" ">115,000</td>
<td  valign="bottom"  align="right"  style=" "> $&#8202;&#8202;&#8202;1,494,783 </td>
</tr>
<tr>
<td  valign="bottom"  align="left"  style=" ">Roche</td>
<td  valign="bottom"  align="right"  style=" ">17.9%</td>
<td  valign="bottom"  align="right"  style=" "> $&#8202;       146.50 </td>
<td  valign="bottom"  align="right"  style=" ">80,653</td>
<td  valign="bottom"  align="right"  style=" "> $&#8202;&#8202;&#8202;1,816,423 </td>
</tr>
<tr>
<td  valign="bottom"  align="left"  style=" ">Novartis</td>
<td  valign="bottom"  align="right"  style=" ">16.1%</td>
<td  valign="bottom"  align="right"  style=" "> $&#8202;       131.16 </td>
<td  valign="bottom"  align="right"  style=" ">119,418</td>
<td  valign="bottom"  align="right"  style=" "> $&#8202;&#8202;&#8202;1,098,327 </td>
</tr>
<tr>
<td  valign="bottom"  align="left"  style=" ">Pfizer</td>
<td  valign="bottom"  align="right"  style=" ">13.2%</td>
<td  valign="bottom"  align="right"  style=" "> $&#8202;       138.19 </td>
<td  valign="bottom"  align="right"  style=" ">110,600</td>
<td  valign="bottom"  align="right"  style=" "> $&#8202;&#8202;&#8202;1,249,458 </td>
</tr>
<tr>
<td  valign="bottom"  align="left"  style=" ">Merck</td>
<td  valign="bottom"  align="right"  style=" ">15.9%</td>
<td  valign="bottom"  align="right"  style=" "> $&#8202;         97.88 </td>
<td  valign="bottom"  align="right"  style=" ">91,000</td>
<td  valign="bottom"  align="right"  style=" "> $&#8202;&#8202;&#8202;1,075,604 </td>
</tr>
<tr>
<td  valign="bottom"  align="left"  style=" ">Sanofi</td>
<td  valign="bottom"  align="right"  style=" ">14.3%</td>
<td  valign="bottom"  align="right"  style=" "> $&#8202;         95.99 </td>
<td  valign="bottom"  align="right"  style=" ">101,575</td>
<td  valign="bottom"  align="right"  style=" "> $&#8202;&#8202;&#8202;   945,016 </td>
</tr>
<tr>
<td  valign="bottom"  align="left"  style=" ">Abbott</td>
<td  valign="bottom"  align="right"  style=" ">10.8%</td>
<td  valign="bottom"  align="right"  style=" "> $&#8202;         77.74 </td>
<td  valign="bottom"  align="right"  style=" ">90,000</td>
<td  valign="bottom"  align="right"  style=" "> $&#8202;&#8202;&#8202;   863,778 </td>
</tr>
<tr>
<td  valign="bottom"  align="left"  style=" ">AstraZeneca</td>
<td  valign="bottom"  align="right"  style=" ">12.9%</td>
<td  valign="bottom"  align="right"  style=" "> $&#8202;         60.22 </td>
<td  valign="bottom"  align="right"  style=" ">61,100</td>
<td  valign="bottom"  align="right"  style=" "> $&#8202;&#8202;&#8202;   985,597 </td>
</tr>
<tr>
<td  valign="bottom"  align="left"  style=" ">Amgen</td>
<td  valign="bottom"  align="right"  style=" ">21.0%</td>
<td  valign="bottom"  align="right"  style=" "> $&#8202;48.16 </td>
<td  valign="bottom"  align="right"  style=" ">17,100</td>
<td  valign="bottom"  align="right"  style=" "> $&#8202;&#8202;&#8202;2,816,374 </td>
</tr>
<tr>
<td  valign="bottom"  align="left"  style=" ">BMS</td>
<td  valign="bottom"  align="right"  style=" ">17.0%</td>
<td  valign="bottom"  align="right"  style=" "> $&#8202;46.79 </td>
<td  valign="bottom"  align="right"  style=" ">27,000</td>
<td  valign="bottom"  align="right"  style=" "> $&#8202;&#8202;&#8202;1,732,963 </td>
</tr>
<tr>
<td  valign="bottom"  align="left"  style=" ">Lilly</td>
<td  valign="bottom"  align="right"  style=" ">20.2%</td>
<td  valign="bottom"  align="right"  style=" "> $&#8202;         41.95 </td>
<td  valign="bottom"  align="right"  style=" ">38,065</td>
<td  valign="bottom"  align="right"  style=" "> $&#8202;&#8202;&#8202;1,102,062 </td>
</tr>
<tr>
<td  valign="bottom"  align="left"  style=" ">Gilead</td>
<td  valign="bottom"  align="right"  style=" ">13.2%</td>
<td  valign="bottom"  align="right"  style=" "> $&#8202;         29.32 </td>
<td  valign="bottom"  align="right"  style=" ">4,000</td>
<td  valign="bottom"  align="right"  style=" "> $&#8202;&#8202;&#8202;7,330,000 </td>
</tr>
</table>
]]></content:encoded>
			<wfw:commentRss>http://jamie.workingagenda.com/blog/2011/08/08/market-cap-per-employee-and-rate-of-rd-spending-for-large-pharmaceutical-companies/feed/</wfw:commentRss>
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		<title>Market cap and 2011 2nd Quarter Revenue per employee, for selected technology firms</title>
		<link>http://jamie.workingagenda.com/blog/2011/08/08/market-cap-and-2011-2nd-quarter-revenue-per-employee-for-selected-technology-firms/</link>
		<comments>http://jamie.workingagenda.com/blog/2011/08/08/market-cap-and-2011-2nd-quarter-revenue-per-employee-for-selected-technology-firms/#comments</comments>
		<pubDate>Mon, 08 Aug 2011 13:28:38 +0000</pubDate>
		<dc:creator>jamie</dc:creator>
				<category><![CDATA[Computers and Software]]></category>

		<guid isPermaLink="false">http://jamie.workingagenda.com/blog/?p=1226</guid>
		<description><![CDATA[In terms of market cap and revenue per employee, Apple and Google are in another class. These results are not correlated with R&#038;D spending. At 2.2 percent, Apple reports the second lowest percent of revenues invested in R&#038;D for the group (only Dell is lower at 1.3 percent), but has the highest revenue and market [...]]]></description>
			<content:encoded><![CDATA[<abbr class="unapi-id" title="http://jamie.workingagenda.com/blog/?p=1226"><!-- &nbsp; --></abbr>
<p>In terms of market cap and revenue per employee, Apple and Google are in another class.<br />
<span id="more-1226"></span><br />
<a href="http://jamie.workingagenda.com/blog/wp-content/uploads/2011/08/cap_v_revenue916x683.png"><br />
<img src="http://jamie.workingagenda.com/blog/wp-content/uploads/2011/08/cap_v_revenue916x683.png" width="550" height="410"></a></p>
<p>These results are not correlated with R&#038;D spending.  At 2.2 percent, Apple reports the second lowest percent of revenues invested in R&#038;D for the group (only Dell is lower at 1.3 percent), but has the highest revenue and market cap per employee.  Google, which ranks second on both metrics, invested 13.7 percent of revenues in R&#038;D.   Red Hat, the Linux company, has the highest rate of reinvesting in R&#038;D, of 18.2 percent, and a market cap per employee of $1.97 million &#8212; which puts Red Hat 4th out of the ten companies in the comparison.</p>
<table cellspacing="0" cellpadding="3" border="1" width="450">
<tr>
<td  valign="bottom"  align="left"  style="background:#99CCFF; border-top:thin solid #000000; border-left:thin solid #000000;"><b>Firm</b></td>
<td  width="75" valign="bottom"  align="right"  style="background:#99CCFF; border-top:thin solid #000000; border-left:thin solid #000000;"><b>Employment</b></td>
<td  width="100"  valign="bottom"  align="right"  style="background:#99CCFF; border-top:thin solid #000000; border-left:thin solid #000000;"><b>2011 2nd quarter revenue /employee</b></td>
<td  valign="bottom"  align="right"  style="background:#99CCFF; border-top:thin solid #000000; border-left:thin solid #000000;"><b>7 August 2011 Market Cap /employee</b></td>
<td  width="70" valign="bottom"  align="right"  style="background:#99CCFF; border-top:thin solid #000000; border-left:thin solid #000000; border-right:thin solid #000000;"><b>R&amp;D as percent of revenue (2nd Quarter 2011)</b></td>
</tr>
<tr>
<td  valign="bottom"  align="left"  style=" border-top:thin solid #000000; border-left:thin solid #000000;">Microsoft</td>
<td  valign="bottom"  align="right"  style=" border-top:thin solid #000000; border-left:thin solid #000000;">90,000</td>
<td  valign="bottom"  align="right"  style=" border-top:thin solid #000000; border-left:thin solid #000000;"> $        192,967 </td>
<td  valign="bottom"  align="right"  style=" border-top:thin solid #000000; border-left:thin solid #000000;"> $&#8202;&#8202;        2,390,556 </td>
<td  valign="bottom"  align="right"  style=" border-top:thin solid #000000; border-left:thin solid #000000; border-right:thin solid #000000;">13.8%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  style=" border-top:thin solid #000000; border-left:thin solid #000000;">Intel</td>
<td  valign="bottom"  align="right"  style=" border-top:thin solid #000000; border-left:thin solid #000000;">96,500</td>
<td  valign="bottom"  align="right"  style=" border-top:thin solid #000000; border-left:thin solid #000000;"> $        135,047 </td>
<td  valign="bottom"  align="right"  style=" border-top:thin solid #000000; border-left:thin solid #000000;"> $&#8202;&#8202;        1,142,280 </td>
<td  valign="bottom"  align="right"  style=" border-top:thin solid #000000; border-left:thin solid #000000; border-right:thin solid #000000;">15.2%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  style=" border-top:thin solid #000000; border-left:thin solid #000000;">Google</td>
<td  valign="bottom"  align="right"  style=" border-top:thin solid #000000; border-left:thin solid #000000;">28,768</td>
<td  valign="bottom"  align="right"  style=" border-top:thin solid #000000; border-left:thin solid #000000;"> $        313,751 </td>
<td  valign="bottom"  align="right"  style=" border-top:thin solid #000000; border-left:thin solid #000000;"> $&#8202;&#8202;        6,498,888 </td>
<td  valign="bottom"  align="right"  style=" border-top:thin solid #000000; border-left:thin solid #000000; border-right:thin solid #000000;">13.7%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  style=" border-top:thin solid #000000; border-left:thin solid #000000;">Apple</td>
<td  valign="bottom"  align="right"  style=" border-top:thin solid #000000; border-left:thin solid #000000;">46,600</td>
<td  valign="bottom"  align="right"  style=" border-top:thin solid #000000; border-left:thin solid #000000;"> $        613,112 </td>
<td  valign="bottom"  align="right"  style=" border-top:thin solid #000000; border-left:thin solid #000000;"> $&#8202;&#8202;        7,433,047 </td>
<td  valign="bottom"  align="right"  style=" border-top:thin solid #000000; border-left:thin solid #000000; border-right:thin solid #000000;">2.2%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  style=" border-top:thin solid #000000; border-left:thin solid #000000;">HP</td>
<td  valign="bottom"  align="right"  style=" border-top:thin solid #000000; border-left:thin solid #000000;">324,600</td>
<td  valign="bottom"  align="right"  style=" border-top:thin solid #000000; border-left:thin solid #000000;"> $          97,107 </td>
<td  valign="bottom"  align="right"  style=" border-top:thin solid #000000; border-left:thin solid #000000;"> $&#8202;&#8202;           208,503 </td>
<td  valign="bottom"  align="right"  style=" border-top:thin solid #000000; border-left:thin solid #000000; border-right:thin solid #000000;">2.6%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  style=" border-top:thin solid #000000; border-left:thin solid #000000;">Dell</td>
<td  valign="bottom"  align="right"  style=" border-top:thin solid #000000; border-left:thin solid #000000;">100,300</td>
<td  valign="bottom"  align="right"  style=" border-top:thin solid #000000; border-left:thin solid #000000;"> $        149,721 </td>
<td  valign="bottom"  align="right"  style=" border-top:thin solid #000000; border-left:thin solid #000000;"> $&#8202;&#8202;           283,151 </td>
<td  valign="bottom"  align="right"  style=" border-top:thin solid #000000; border-left:thin solid #000000; border-right:thin solid #000000;">1.3%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  style=" border-top:thin solid #000000; border-left:thin solid #000000;">Oracle</td>
<td  valign="bottom"  align="right"  style=" border-top:thin solid #000000; border-left:thin solid #000000;">108,429</td>
<td  valign="bottom"  align="right"  style=" border-top:thin solid #000000; border-left:thin solid #000000;"> $          99,374 </td>
<td  valign="bottom"  align="right"  style=" border-top:thin solid #000000; border-left:thin solid #000000;"> $&#8202;&#8202;        1,324,461 </td>
<td  valign="bottom"  align="right"  style=" border-top:thin solid #000000; border-left:thin solid #000000; border-right:thin solid #000000;">10.9%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  style=" border-top:thin solid #000000; border-left:thin solid #000000;">IBM</td>
<td  valign="bottom"  align="right"  style=" border-top:thin solid #000000; border-left:thin solid #000000;">426,751</td>
<td  valign="bottom"  align="right"  style=" border-top:thin solid #000000; border-left:thin solid #000000;"> $          62,486 </td>
<td  valign="bottom"  align="right"  style=" border-top:thin solid #000000; border-left:thin solid #000000;"> $&#8202;&#8202;           484,100 </td>
<td  valign="bottom"  align="right"  style=" border-top:thin solid #000000; border-left:thin solid #000000; border-right:thin solid #000000;">5.9%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  style=" border-top:thin solid #000000; border-left:thin solid #000000;">Cisco</td>
<td  valign="bottom"  align="right"  style=" border-top:thin solid #000000; border-left:thin solid #000000;">70,700</td>
<td  valign="bottom"  align="right"  style=" border-top:thin solid #000000; border-left:thin solid #000000;"> $        153,692 </td>
<td  valign="bottom"  align="right"  style=" border-top:thin solid #000000; border-left:thin solid #000000;"> $&#8202;&#8202;        1,162,235 </td>
<td  valign="bottom"  align="right"  style=" border-top:thin solid #000000; border-left:thin solid #000000; border-right:thin solid #000000;">13.2%</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  style=" border-top:thin solid #000000; border-bottom:thin solid #000000; border-left:thin solid #000000;">Red Hat</td>
<td  valign="bottom"  align="right"  style=" border-top:thin solid #000000; border-bottom:thin solid #000000; border-left:thin solid #000000;">3,700</td>
<td  valign="bottom"  align="right"  style=" border-top:thin solid #000000; border-bottom:thin solid #000000; border-left:thin solid #000000;"> $          71,554 </td>
<td  valign="bottom"  align="right"  style=" border-top:thin solid #000000; border-bottom:thin solid #000000; border-left:thin solid #000000;"> $&#8202;&#8202;        1,970,270 </td>
<td  valign="bottom"  align="right"  style=" border-top:thin solid #000000; border-bottom:thin solid #000000; border-left:thin solid #000000; border-right:thin solid #000000;">18.2%</td>
</tr>
</table>
]]></content:encoded>
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		<title>2nd quarter revenue per employee for 12 big pharma companies</title>
		<link>http://jamie.workingagenda.com/blog/2011/08/07/2nd-quarter-revenue-per-employee-for-12-big-pharma-companies/</link>
		<comments>http://jamie.workingagenda.com/blog/2011/08/07/2nd-quarter-revenue-per-employee-for-12-big-pharma-companies/#comments</comments>
		<pubDate>Mon, 08 Aug 2011 01:24:15 +0000</pubDate>
		<dc:creator>jamie</dc:creator>
				<category><![CDATA[Economics]]></category>
		<category><![CDATA[Medical Technologies]]></category>

		<guid isPermaLink="false">http://jamie.workingagenda.com/blog/?p=1200</guid>
		<description><![CDATA[The chart below presents the 2011 2nd quarter revenue per employee for the 12 largest bio pharmaceutical firms. The unweighted average was $146,235.86. The median was $135,712. Amgen has the largest ratio of $227,660 in 2nd quarter revenue per employee. Firm 2011 2nd quarter revenue (millions of USD) Employment Quarterly revenue per employee J&#38;J $16,597 [...]]]></description>
			<content:encoded><![CDATA[<abbr class="unapi-id" title="http://jamie.workingagenda.com/blog/?p=1200"><!-- &nbsp; --></abbr>
<p>The chart below presents the 2011 2nd quarter revenue per employee for the 12 largest bio pharmaceutical firms.</p>
<p>The unweighted average was $146,235.86.  The median was $135,712. Amgen has the largest ratio of $227,660<br />
in 2nd quarter revenue per employee.  <span id="more-1200"></span></p>
<p><a href="http://jamie.workingagenda.com/blog/wp-content/uploads/2011/08/sales_employees_915x630.png"><img src="http://jamie.workingagenda.com/blog/wp-content/uploads/2011/08/sales_employees_915x630.png" alt="" title="sales_employees_915x630" width="500" height="344"  /></a></p>
<table cellspacing="0" cellpadding="3" border="1">
<tr>
<td  valign="bottom"  align="left"  width="70"><b>Firm</b></td>
<td  valign="bottom"  align="right" width="50" ><b>2011 2nd quarter revenue (millions of USD)</b></td>
<td  valign="bottom"  align="right" width="50"><b>Employment</b></td>
<td  valign="bottom"  align="right" width="50"><b>Quarterly revenue per employee</b></td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >J&amp;J</td>
<td  valign="bottom"  align="right"  >$16,597</td>
<td  valign="bottom"  align="right"  >115,000</td>
<td  valign="bottom"  align="right"  >$144,322</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Roche</td>
<td  valign="bottom"  align="right"  >$10,836</td>
<td  valign="bottom"  align="right"  >80,653</td>
<td  valign="bottom"  align="right"  >$134,347</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Novartis</td>
<td  valign="bottom"  align="right"  >$14,915</td>
<td  valign="bottom"  align="right"  >119,418</td>
<td  valign="bottom"  align="right"  >$124,897</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Pfizer</td>
<td  valign="bottom"  align="right"  >$16,984</td>
<td  valign="bottom"  align="right"  >110,600</td>
<td  valign="bottom"  align="right"  >$153,562</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Merck</td>
<td  valign="bottom"  align="right"  >$12,151</td>
<td  valign="bottom"  align="right"  >91,000</td>
<td  valign="bottom"  align="right"  >$133,527</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Sanofi</td>
<td  valign="bottom"  align="right"  >$8,349</td>
<td  valign="bottom"  align="right"  >101,575</td>
<td  valign="bottom"  align="right"  >$82,195</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Abbott</td>
<td  valign="bottom"  align="right"  >$9,616</td>
<td  valign="bottom"  align="right"  >90,000</td>
<td  valign="bottom"  align="right"  >$106,844</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >AstraZeneca</td>
<td  valign="bottom"  align="right"  >$8,292</td>
<td  valign="bottom"  align="right"  >61,100</td>
<td  valign="bottom"  align="right"  >$135,712</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Amgen</td>
<td  valign="bottom"  align="right"  >$3,893</td>
<td  valign="bottom"  align="right"  >17,100</td>
<td  valign="bottom"  align="right"  >$227,661</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >BMS</td>
<td  valign="bottom"  align="right"  >$5,434</td>
<td  valign="bottom"  align="right"  >27,000</td>
<td  valign="bottom"  align="right"  >$201,259</td>
</tr>
<tr>
<td  valign="bottom"  align="left"  >Lilly</td>
<td  valign="bottom"  align="right"  >$6,253</td>
<td  valign="bottom"  align="right"  >38,065</td>
<td  valign="bottom"  align="right"  >$164,266</td>
</tr>
</table>
<p>One firm left off this list is Gilead, a firm with 4,000 employees and $2.137 billion in 2011 2nd Quarter revenues &#8212; a ratio of $534,313 per employee for the quarter, more than twice the amount for Amgen.   </p>
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