{"id":29,"date":"2009-11-16T01:51:00","date_gmt":"2009-11-16T09:51:00","guid":{"rendered":"tag:blogger.com,1999:blog-10083047.post-5835451124739743583"},"modified":"2009-11-16T03:38:15","modified_gmt":"2009-11-16T11:38:15","slug":"the-isles-in-america","status":"publish","type":"post","link":"https:\/\/www.razib.com\/wordpress\/2009\/11\/16\/the-isles-in-america\/","title":{"rendered":"The Isles in America"},"content":{"rendered":"<p>It&#8217;s easy to find maps of <a href=\"http:\/\/en.wikipedia.org\/wiki\/Maps_of_American_ancestries\">American ancestries,<\/a> but I wanted to play around with the data, and in particularly the visualization myself. So I went to the Census and got the county level numbers. The first thing I wanted to do was look at non-Hispanic white ethnicities as a proportion of non-Hispanic whites. That would for example increase the Anglo-Saxon character of the lowland South because it would remove African Americans from the equation. <\/p>\n<p>All the data was from the 2000 Census, and I simply divided the % of each European ancestry group by the non-Hispanic white percentage to reweight appropriately. Here are some correlations I found:<\/p>\n<p>English X Scots-Irish = 0.34<\/p>\n<p>English X Irish = 0.30<\/p>\n<p>English X American = -0.20<\/p>\n<p>Scots-Irish X Irish = 0.37<\/p>\n<p>Scots-Irish X American = -0.25<\/p>\n<p>Irish X  American = -0.45<\/p>\n<p>I left the Scottish and Welsh out of this because their numbers were relatively small. One of the main issues with look at the &#8220;Irish&#8221; and &#8220;American&#8221; category is that both of these are probably heavily loaded with Scots-Irish. Below the fold are some maps I generated.<\/p>\n<p>Blue = above the median for the frequency of that group nationally (the median being calculated again with non-Hispanic whites only included).<\/p>\n<p>Red = below the median.<\/p>\n<p>The distributions of frequencies by county tend to be <a href=\"http:\/\/en.wikipedia.org\/wiki\/Skewness\">positively skewed<\/a>, so the shading is covering a larger spectrum of frequencies in the blue than the red.<br \/><span class=\"fullpost\"><br \/>Min = 1.6%<br \/>25% = 8.5%<br \/>Median = 11%<br \/>75% = 14%<br \/>Max = 48%<\/p>\n<p><a onblur=\"try {parent.deselectBloggerImageGracefully();} catch(e) {}\" href=\"http:\/\/www.gnxp.com\/blog\/uploaded_images\/english-757603.png\"><img decoding=\"async\" style=\"cursor:pointer; cursor:hand;width: 400px; height: 218px;\" src=\"http:\/\/www.gnxp.com\/blog\/uploaded_images\/english-757600.png\" border=\"0\" alt=\"\" \/><\/a><\/p>\n<p>Min = 0%<br \/>25% = 1%<br \/>Median = 2%<br \/>75% = 3%<br \/>Max = 10%<\/p>\n<p><a onblur=\"try {parent.deselectBloggerImageGracefully();} catch(e) {}\" href=\"http:\/\/www.gnxp.com\/blog\/uploaded_images\/scotsirish-720365.png\"><img decoding=\"async\" style=\"cursor:pointer; cursor:hand;width: 400px; height: 218px;\" src=\"http:\/\/www.gnxp.com\/blog\/uploaded_images\/scotsirish-720353.png\" border=\"0\" alt=\"\" \/><\/a><\/p>\n<p>Min = 2%<br \/>25% = 10%<br \/>Median = 12%<br \/>75% = 14%<br \/>Max = 37%<\/p>\n<p><a onblur=\"try {parent.deselectBloggerImageGracefully();} catch(e) {}\" href=\"http:\/\/www.gnxp.com\/blog\/uploaded_images\/irish-720477.png\"><img decoding=\"async\" style=\"cursor:pointer; cursor:hand;width: 400px; height: 218px;\" src=\"http:\/\/www.gnxp.com\/blog\/uploaded_images\/irish-720473.png\" border=\"0\" alt=\"\" \/><\/a><\/p>\n<p>Min = 0%<br \/>25% = 7%<br \/>Median = 14%<br \/>75% = 22%<br \/>Max = 70%<\/p>\n<p><a onblur=\"try {parent.deselectBloggerImageGracefully();} catch(e) {}\" href=\"http:\/\/www.gnxp.com\/blog\/uploaded_images\/american-718544.png\"><img decoding=\"async\" style=\"cursor:pointer; cursor:hand;width: 400px; height: 218px;\" src=\"http:\/\/www.gnxp.com\/blog\/uploaded_images\/american-718540.png\" border=\"0\" alt=\"\" \/><\/a><\/p>\n<p>&#8220;Isles&#8221; includes Scottish &#038; Welsh, as well as &#8220;American.&#8221;<\/p>\n<p>Min = 9%<br \/>25% = 39%<br \/>Median = 44%<br \/>75% = 51%<br \/>Max = 85%<\/p>\n<p><a onblur=\"try {parent.deselectBloggerImageGracefully();} catch(e) {}\" href=\"http:\/\/www.gnxp.com\/blog\/uploaded_images\/isles-778098.png\"><img decoding=\"async\" style=\"cursor:pointer; cursor:hand;width: 400px; height: 218px;\" src=\"http:\/\/www.gnxp.com\/blog\/uploaded_images\/isles-778095.png\" border=\"0\" alt=\"\" \/><\/a><\/p>\n<p>Finally, here&#8217;s a map where those of &#8220;Isles&#8221; origin are 50% or more of the non-Hispanic white population.<\/p>\n<p><a onblur=\"try {parent.deselectBloggerImageGracefully();} catch(e) {}\" href=\"http:\/\/www.gnxp.com\/blog\/uploaded_images\/50isles-706807.png\"><img decoding=\"async\" style=\"cursor:pointer; cursor:hand;width: 400px; height: 218px;\" src=\"http:\/\/www.gnxp.com\/blog\/uploaded_images\/50isles-706805.png\" border=\"0\" alt=\"\" \/><\/a><\/p>\n<p>The shading for the &#8220;Isles&#8221; doesn&#8217;t look right. But here&#8217;s the histogram:<br \/><a onblur=\"try {parent.deselectBloggerImageGracefully();} catch(e) {}\" href=\"http:\/\/www.gnxp.com\/blog\/uploaded_images\/isleshist-733093.png\"><img decoding=\"async\" style=\"cursor:pointer; cursor:hand;width: 352px; height: 400px;\" src=\"http:\/\/www.gnxp.com\/blog\/uploaded_images\/isleshist-733091.png\" border=\"0\" alt=\"\" \/><\/a><\/p>\n<p>The median is 0.45. So that&#8217;s probably why the blue is relatively homogeneous, the distribution is negatively skewed.<br \/><\/span><\/p>\n<div class=\"blogger-post-footer\"><img width='1' height='1' src='https:\/\/blogger.googleusercontent.com\/tracker\/10083047-5835451124739743583?l=www.gnxp.com%2Fblog%2Findex.php' alt='' \/><\/div>\n","protected":false},"excerpt":{"rendered":"<p>It&#8217;s easy to find maps of American ancestries, but I wanted to play around with the data, and in particularly the visualization myself. So I went to the Census and got the county level numbers. The first thing I wanted to do was look at non-Hispanic wh&#8230;<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[22],"tags":[],"class_list":["post-29","post","type-post","status-publish","format-standard","hentry","category-geography"],"_links":{"self":[{"href":"https:\/\/www.razib.com\/wordpress\/wp-json\/wp\/v2\/posts\/29","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.razib.com\/wordpress\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.razib.com\/wordpress\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.razib.com\/wordpress\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.razib.com\/wordpress\/wp-json\/wp\/v2\/comments?post=29"}],"version-history":[{"count":0,"href":"https:\/\/www.razib.com\/wordpress\/wp-json\/wp\/v2\/posts\/29\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.razib.com\/wordpress\/wp-json\/wp\/v2\/media?parent=29"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.razib.com\/wordpress\/wp-json\/wp\/v2\/categories?post=29"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.razib.com\/wordpress\/wp-json\/wp\/v2\/tags?post=29"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}