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<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0"><channel><atom:link rel="hub" href="http://tumblr.superfeedr.com/" xmlns:atom="http://www.w3.org/2005/Atom"/><description>Visualizing the fight against poverty. Submit your best development data viz by clicking on the pencil icon on the right!</description><title>World Bank Dataviz</title><generator>Tumblr (3.0; @worldbank)</generator><link>http://worldbank.tumblr.com/</link><item><title>datavis:

Searching for Peace in Old Age by Hyperakt
</title><description>&lt;img src="http://25.media.tumblr.com/b58ef5e0fb642ca9efbe3531e55a3193/tumblr_mjrcfjI7w21qa6ke2o1_500.jpg"/&gt;&lt;br/&gt;&lt;br/&gt;&lt;p&gt;&lt;a class="tumblr_blog" href="http://datavis.tumblr.com/post/45505213711/searching-for-peace-in-old-age-by-hyperakt" target="_blank"&gt;datavis&lt;/a&gt;:&lt;/p&gt;
&lt;blockquote&gt;
&lt;p&gt;&lt;a href="http://hyperakt.com/work-detail/338" target="_blank"&gt;Searching for Peace in Old Age&lt;/a&gt; &lt;span&gt;by Hyperakt&lt;/span&gt;&lt;/p&gt;
&lt;/blockquote&gt;</description><link>http://worldbank.tumblr.com/post/52946296668</link><guid>http://worldbank.tumblr.com/post/52946296668</guid><pubDate>Fri, 14 Jun 2013 10:01:14 -0400</pubDate></item><item><title>Mapping Billions of Tweets Around the World</title><description>&lt;p&gt;Via &lt;a href="http://mashable.com" target="_blank"&gt;Mashable&lt;/a&gt;:&lt;/p&gt;
&lt;p&gt;&amp;#8220;Ever wonder what it would look like to plot every single geotagged tweet since 2009 on a map? &lt;a href="http://www.twitter.com" target="_blank"&gt;Twitter&lt;/a&gt; has done just that&amp;#8230;They use billions of geotagged tweets: Every dot represents a tweet, with the brighter colors showing a higher concentration of tweets.&amp;#8221;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Europe:&lt;/strong&gt; &lt;/p&gt;
&lt;p&gt;&lt;img alt="image" src="http://media.tumblr.com/d24e96b25bfe3d470181a6295d23adf4/tumblr_inline_mo0xa9Kr0B1qz4rgp.jpg"/&gt;&lt;/p&gt;

&lt;p&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Tokyo: &lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;img alt="image" src="http://media.tumblr.com/c45b2a1846a8b88b0263aaf4c531c4e6/tumblr_inline_mo0xapcBNM1qz4rgp.jpg"/&gt;&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Sao Paolo: &lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;&lt;img alt="image" src="http://media.tumblr.com/e2bb19a46bb8fc644535e9e52b7ea96e/tumblr_inline_mo0xbhVXZJ1qz4rgp.jpg"/&gt;&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Moscow:  &lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;&lt;img alt="image" src="http://media.tumblr.com/b7e30b7d410604472a070011eb5f9a3b/tumblr_inline_mo0xdmj5Lg1qz4rgp.jpg"/&gt;&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;North America:&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;&lt;img alt="image" src="http://media.tumblr.com/208af63ba639be57d9eadba8fa16c3ea/tumblr_inline_mo0xj79n3Z1qz4rgp.jpg"/&gt;&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Source: &lt;a href="http://www.flickr.com/photos/twitteroffice/sets/72157633647745984/" target="_blank"&gt;Flickr&lt;/a&gt; and &lt;a href="http://mashable.com/2013/05/31/twitter-maps/%20" target="_blank"&gt;Mashable&lt;/a&gt;&lt;/p&gt;</description><link>http://worldbank.tumblr.com/post/52713806190</link><guid>http://worldbank.tumblr.com/post/52713806190</guid><pubDate>Tue, 11 Jun 2013 12:02:00 -0400</pubDate><category>world</category><category>tweets</category><category>twitter</category><category>Europe</category><category>Tokyo</category><category>Sao Paolo</category><category>Moscow</category><category>North America</category></item><item><title>An estimated 46,000 pieces of plastic are afloat on every sq...</title><description>&lt;img src="http://24.media.tumblr.com/e583a1aa8ab83bae6b464b7746b17a47/tumblr_mmwi6clrKC1qzt7h7o1_500.jpg"/&gt;&lt;br/&gt;&lt;br/&gt;&lt;p&gt;&lt;span&gt;An estimated 46,000 pieces of &lt;/span&gt;&lt;strong&gt;plastic&lt;/strong&gt;&lt;span&gt; are afloat on every sq mile of ocean. The world must act to protect the oceans. Spread the word on June 8th, World Oceans Day.&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;via &lt;a class="tumblr_blog" href="http://blog.fastcompany.com/post/50589763431/its-no-secret-that-the-worlds-ocean-trash" target="_blank"&gt;fastcompany&lt;/a&gt;:&lt;/p&gt;
&lt;blockquote&gt;
&lt;div&gt;
&lt;p&gt;&lt;span&gt;It’s no secret that the world’s ocean trash problem is getting bad; looking &lt;/span&gt;&lt;span&gt;at&lt;/span&gt;&lt;span&gt; a handful of images&lt;/span&gt;&lt;span&gt; from the Texas-sized Pacific garbage patch should be enough to convince anyone. As for all &lt;/span&gt;&lt;span&gt;of our litter that doesn’t end up in the mid&lt;/span&gt;&lt;span&gt;dle of the ocean? It often stays close to shore, where volunteers for &lt;/span&gt;&lt;span&gt;Ocean Conservancy’s International Coastal Cleanup&lt;/span&gt;&lt;span&gt; pick some of it up, cataloging all the items they find. &lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;a href="http://www.fastcoexist.com/1682053/the-10-types-of-trash-that-are-littering-our-beaches#1" target="_blank"&gt;&lt;strong&gt;The 10 types of trash that are littering our beaches&lt;/strong&gt;&lt;/a&gt;&lt;/p&gt;
&lt;/div&gt;
&lt;/blockquote&gt;</description><link>http://worldbank.tumblr.com/post/52467334993</link><guid>http://worldbank.tumblr.com/post/52467334993</guid><pubDate>Sat, 08 Jun 2013 12:02:50 -0400</pubDate></item><item><title>Web Aquarium Shows World's Declining Fish Population</title><description>&lt;p&gt;Today is World Oceans Day, and sadly the data on the health of the oceans are grim. For example, &lt;span&gt;90% of the big fish in the oceans&lt;/span&gt;&lt;span&gt; are gone, largely due to overfishing&lt;/span&gt;&lt;span&gt;. &lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span&gt;What do emptier waters look like? &lt;/span&gt;&lt;a href="http://www.guardian.co.uk/news/datablog/interactive/2013/may/21/ocean-before-and-after-overfishing" target="_blank"&gt;The Guardian&lt;/a&gt; have compiled 200+ oceans-related datasets into an interactive &lt;a href="http://www.guardian.co.uk/news/datablog/interactive/2013/may/21/ocean-before-and-after-overfishing" target="_blank"&gt;web aquarium&lt;/a&gt; that shows the decline in fish populations over the past 100 years. Dive into the &lt;a href="http://www.guardian.co.uk/news/datablog/interactive/2013/may/21/ocean-before-and-after-overfishing" target="_blank"&gt;full interactive dataviz &lt;/a&gt;to see it for yourself.&lt;/p&gt;

&lt;p&gt;&lt;img alt="image" src="http://media.tumblr.com/1d93180a03ec5c868df1a01c54bba89d/tumblr_inline_mnz7fine2T1qz4rgp.jpg"/&gt;&lt;/p&gt;
&lt;p&gt;Source: &lt;a href="http://www.guardian.co.uk/news/datablog/interactive/2013/may/21/ocean-before-and-after-overfishing" target="_blank"&gt;The Guardian&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;Oceans open data: &lt;a href="http://siteresources.worldbank.org/EXTSDNET/Resources/Little-Green-Data-Book-2013.pdf" target="_blank"&gt;World Bank Little Green Data Book 2013&lt;/a&gt;&lt;/p&gt;</description><link>http://worldbank.tumblr.com/post/52450695212</link><guid>http://worldbank.tumblr.com/post/52450695212</guid><pubDate>Sat, 08 Jun 2013 06:01:24 -0400</pubDate><category>world</category><category>fish</category><category>Aquarium</category><category>map</category><category>opendata</category><category>data</category><category>Environment</category></item><item><title>Access to Energy Worldwide</title><description>&lt;p&gt;&lt;p class="MsoNormal"&gt;Another way to visualize global access to energy, from &lt;a href="http://www.economist.com" target="_blank"&gt;The Economist&lt;/a&gt;: &lt;/p&gt;
&lt;p class="MsoNormal"&gt;&amp;#8220;Some 1.7 billion people gained access to electricity, and 1.6 billion to modern fuels for household cooking between 1990 and 2010. The world&amp;#8217;s population increased by a similar amount, so the proportion of those who have access to modern energy sources rose.&amp;#8221;&lt;/p&gt;
&lt;p class="MsoNormal"&gt;&lt;img alt="image" src="http://media.tumblr.com/99c1d0e6dd243e32ef4d3cd45b14f399/tumblr_inline_mnzawkWcog1qz4rgp.png"/&gt;&lt;/p&gt;
&lt;p class="MsoNormal"&gt;Source: &lt;a href="http://www.worldbank.org/en/topic/energy/publication/Global-Tracking-Framework-Report" target="_blank"&gt;Global Tracking Framework&lt;/a&gt;&lt;/p&gt;&lt;/p&gt;</description><link>http://worldbank.tumblr.com/post/52312427638</link><guid>http://worldbank.tumblr.com/post/52312427638</guid><pubDate>Thu, 06 Jun 2013 14:01:23 -0400</pubDate><category>energy</category><category>India</category><category>Africa</category><category>Kenya</category><category>opendata</category><category>data</category><category>fuel</category><category>environment</category><category>SE4ALL</category><category>Sustainable</category><category>kerosene</category><category>ethanol</category><category>world</category></item><item><title>Where in the World Do People Lack Access to Electricity?</title><description>&lt;p class="MsoNormal"&gt;Did you know that worldwide 1.2 billion people—almost equal to the population of India— lack access to electricity?&lt;/p&gt;
&lt;p class="MsoNormal"&gt;The new &lt;a href="http://siteresources.worldbank.org/EXTSDNET/Resources/gtf_full_report.pdf?cid=EXT_FBWB_D_EXT" target="_blank"&gt;Global Tracking Framework Report&lt;/a&gt; (pdf) presents detailed country-level and global data that outline challenges as countries try to provide universal access to modern energy.&lt;/p&gt;
&lt;p class="MsoNormal"&gt;Check out the top 20 countries where people lack access to electricity.&lt;/p&gt;
&lt;p&gt;&lt;iframe frameborder="0" height="600" src="http://s3.datawrapper.de/6VRLs/" width="600"&gt;&lt;/iframe&gt;&lt;/p&gt;</description><link>http://worldbank.tumblr.com/post/51655060111</link><guid>http://worldbank.tumblr.com/post/51655060111</guid><pubDate>Wed, 29 May 2013 14:01:00 -0400</pubDate><category>India</category><category>Niger</category><category>Congo</category><category>Bangladesh</category><category>Kenya</category><category>Sudan</category><category>Uganda</category><category>myanmar</category><category>philippines</category><category>Korea</category><category>indonesia</category><category>opendata</category><category>data</category><category>electricity</category><category>energy</category><category>green</category><category>climate change</category></item><item><title>Infant Mortality: Magnitude, Disparities and Trends</title><description>&lt;p&gt;&lt;a href="http://healthintelligence.drupalgardens.com/" target="_blank"&gt;Ramon Martinez&lt;/a&gt;, Information System and Health Data Analyst, created and submitted this data visualization. &lt;/p&gt;
&lt;p&gt;&lt;img alt="Infant Mortality at Global Level" height="1040" src="http://public.tableausoftware.com/views/IMR_2012_dataviz_2/GlobalInfantMortalityratemakeoverwithv8.png" width="684"/&gt;&lt;/p&gt;
&lt;p&gt;The infant mortality rate (IMR) is measured as follows: the number of babies who die before reaching their first birthday divided by number of live births in a specific place and year. The highest infant mortality rates in the world are in Africa and Southeast Asia.&lt;/p&gt;
&lt;div&gt;Click to explore the &lt;a href="http://healthintelligence.drupalgardens.com/content/global-overview-magnitude-disparities-and-trend-infant-mortality-world-1950-2011" title="Magnitude, disparities and trend of infant mortality in the world. 1950-2011" target="_blank"&gt;full interactive data visualization on Infant Mortality in the World&lt;/a&gt;.&lt;/div&gt;
&lt;div&gt;&lt;/div&gt;</description><link>http://worldbank.tumblr.com/post/51148739420</link><guid>http://worldbank.tumblr.com/post/51148739420</guid><pubDate>Thu, 23 May 2013 10:22:00 -0400</pubDate></item><item><title>How People Use Mobile Phones in Emerging Markets in Asia</title><description>&lt;p class="MsoNormal"&gt;Social media apps are the most commonly used mobile apps in emerging countries in Asia, according to a survey conducted by &lt;a href="http://www.jana.com/" target="_blank"&gt;Jana&lt;/a&gt;, a Boston-based mobile technology company. For example, 87% of respondents in Indonesia have social media apps on their mobile phones. The second most common mobile apps are games. &lt;/p&gt;
&lt;p class="MsoNormal"&gt;&lt;a href="http://www.jana.com/" target="_blank"&gt;Jana&lt;/a&gt; surveyed over 3000 people in Bangladesh, India, Indonesia, Pakistan, the Philippines and Vietnam to find out how mobile phones are being used. Explore the results in their interactive &lt;a href="http://www.jana.com/blog/mobile-phone-usage-in-asia/" target="_blank"&gt;infographic&lt;/a&gt;.&lt;/p&gt;
&lt;p&gt;&lt;iframe frameborder="0" height="4606" scrolling="no" src="//infogr.am/include/php/embedded.php?graphicID=esettel_1367851407&amp;amp;ref=http://www.jana.com/blog/mobile-phone-usage-in-asia/" width="700"&gt;&lt;/iframe&gt;&lt;/p&gt;
&lt;div&gt;&lt;a href="http://infogr.am/Tell-Us-About-Your-Phone" target="_blank"&gt;Tell Us About Your Phone&lt;/a&gt; | &lt;a href="http://infogr.am" target="_blank"&gt;Create infographics&lt;/a&gt;&lt;/div&gt;</description><link>http://worldbank.tumblr.com/post/51081765624</link><guid>http://worldbank.tumblr.com/post/51081765624</guid><pubDate>Wed, 22 May 2013 14:01:30 -0400</pubDate><category>India</category><category>indonesia</category><category>Bangladesh</category><category>pakistan</category><category>phiippines</category><category>Vietnam</category><category>opendata</category><category>Mobile</category><category>ICT4D</category><category>Data</category><category>Tech</category></item><item><title>Calculating the World's Population</title><description>&lt;p&gt;How do demographers actually know how many people live on Earth? Can they accurately calculate the number of people that have ever lived? You asked our &lt;a href="https://datahelpdesk.worldbank.org/" target="_blank"&gt;data help desk&lt;/a&gt; these questions, and our open data whiz drew the answers in this video.&lt;/p&gt;
&lt;p&gt;Do you have more questions about how data is calculated? Ask them via our &lt;a href="https://datahelpdesk.worldbank.org/" target="_blank"&gt;data help desk&lt;/a&gt; or on Twitter with hashtag #dataquestion&lt;/p&gt;
&lt;p&gt;&lt;iframe frameborder="0" height="315" src="http://www.youtube.com/embed/sPlHUXHVOHY" width="500"&gt;&lt;/iframe&gt;&lt;/p&gt;</description><link>http://worldbank.tumblr.com/post/50434179268</link><guid>http://worldbank.tumblr.com/post/50434179268</guid><pubDate>Tue, 14 May 2013 14:48:00 -0400</pubDate><category>world</category><category>population</category><category>opendata</category><category>data</category><category>dataviz</category><category>people</category><category>video</category><category>Social media</category></item><item><title>Where the Poorest Girls Do Not Finish Primary School</title><description>&lt;p&gt;&lt;p class="MsoNormal"&gt;&lt;span&gt;&lt;img alt="image" src="http://media.tumblr.com/d5d73458a2c0ef9a42ec3475c5ff8814/tumblr_inline_mm8ba1BHsT1qz4rgp.gif"/&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p class="MsoNormal"&gt;&lt;span&gt;Did you know that 98% of the poorest young women in Niger, a landlocked country in Western Africa, have not completed primary school? (Note: &lt;/span&gt;2006 data)&lt;/p&gt;
&lt;p class="MsoNormal"&gt;&lt;span&gt;Niger is not alone. “In at least 10 countries in the &lt;a href="http://www.education-inequalities.org/" target="_blank"&gt;World Inequality Database on Education (WIDE)&lt;/a&gt;, 9 out of 10 of the poorest women aged 15 to 24-years haven’t completed primary school, compared with 8 out of 10 young men.“ &lt;/span&gt;&lt;/p&gt;
&lt;p class="MsoNormal"&gt;&lt;span&gt;Click through the&lt;span class="apple-converted-space"&gt; &lt;/span&gt;&lt;/span&gt;&lt;span&gt;&lt;a href="http://www.education-inequalities.org/womens_day_2013" target="_blank"&gt;&lt;span&gt;full interactive feature&lt;/span&gt;&lt;/a&gt;&lt;span class="apple-converted-space"&gt;&lt;span&gt;  to learn about the level of gender equality in primary school in selected countries. &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
&lt;p class="MsoNormal"&gt;&lt;span&gt;&lt;span class="apple-converted-space"&gt;&lt;span&gt;Source: &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;a href="http://www.education-inequalities.org/womens_day_2013" target="_blank"&gt;World Inequality Database on Education (WIDE)&lt;/a&gt;&lt;/p&gt;&lt;/p&gt;</description><link>http://worldbank.tumblr.com/post/49947015016</link><guid>http://worldbank.tumblr.com/post/49947015016</guid><pubDate>Wed, 08 May 2013 14:35:42 -0400</pubDate><category>World</category><category>Dataviz</category><category>Map</category><category>opendata</category><category>Niger</category><category>Africa</category><category>Education</category><category>Equality</category><category>Women</category><category>Girl</category><category>Men</category><category>Kenya</category><category>Ghana</category><category>Togo</category><category>Congo</category></item><item><title>Visualizing Global Internet Use</title><description>&lt;div class="oii_vis"&gt;&lt;a href="http://www.oii.ox.ac.uk/vis/?id=4e3c0200" target="_blank"&gt;&lt;img alt="Internet Penetration" src="http://www.oii.ox.ac.uk/vis/images/?src=4e3c0200/internet_penetration.png&amp;amp;width=620" width="500"/&gt;&lt;/a&gt;&lt;/div&gt;
&lt;div class="oii_vis"&gt;

&lt;p class="MsoNormal"&gt;&lt;span&gt;&lt;strong&gt;From the &lt;/strong&gt;&lt;/span&gt;&lt;strong&gt;&lt;a href="http://www.oii.ox.ac.uk" target="_blank"&gt;Oxford Internet Institute&lt;/a&gt;&lt;/strong&gt;&lt;span&gt;&lt;strong&gt;:&lt;/strong&gt;&lt;br/&gt;&lt;/span&gt;&lt;span&gt;&lt;br/&gt; This visualisation illustrates the raw number of Internet users in each country as well as the percentage of the population with Internet access.&lt;/span&gt;&lt;span&gt; &lt;br/&gt;&lt;/span&gt;&lt;strong&gt;&lt;span&gt;&lt;br/&gt; Data&lt;/span&gt;&lt;/strong&gt;&lt;/p&gt;
&lt;p class="MsoNormal"&gt;&lt;span&gt; This map uses 2008&amp;#160;&lt;a href="http://data.worldbank.org/indicator/IT.NET.USER.P2" target="_blank"&gt;&lt;span&gt;internet penetration statistics&lt;/span&gt;&lt;/a&gt; from the World Bank. The data are visualised with a cartogram in which the size of each country is drawn based on its proportion of global Internet users. The shading of each country reflects its Internet penetration rate: darker shades indicate higher levels of Internet usage amongst the population. Countries with online populations of less than approximately 2 million have been removed from the map.&lt;/span&gt;&lt;span&gt; &lt;br/&gt;&lt;/span&gt;&lt;strong&gt;&lt;span&gt;&lt;br/&gt; Findings&lt;/span&gt;&lt;/strong&gt;&lt;span&gt; &lt;br/&gt;&lt;/span&gt;&lt;span&gt;&lt;br/&gt; We see that the map of the world&amp;#8217;s online population presents an interesting picture of the locations of Internet users. China has the world&amp;#8217;s largest total number of Internet users (there are currently over 400 million users in China) despite its relatively low penetration rate. The map also starkly illustrates the relatively small number of users in South America and Africa. The visualization causes South America to shrink to a size that is smaller than the United States, and Africa to skew unrecognizably on the map. We also see that there are very few countries in the Global South with high Internet penetration rates. This indicates future growth in the total number of Internet users will most likely come from areas that are currently underrepresented.&lt;/span&gt;&lt;span&gt; &lt;br/&gt;&lt;/span&gt;&lt;span&gt;&lt;br/&gt; Visualization and analysis by Dr Mark Graham, Scott A. Hale and Monica Stephens in collaboration with Dr Corinne M. Flick and the &lt;/span&gt;&lt;span&gt; &lt;a href="http://www.convoco.co.uk/about/foundation" target="_blank"&gt;&lt;span&gt;Convoco Foundation&lt;/span&gt;&lt;/a&gt;&lt;/span&gt;&lt;span&gt;.&lt;/span&gt;&lt;span&gt;&lt;br/&gt;&lt;/span&gt;&lt;span&gt;&lt;br/&gt; This map is taken from the following publication: &amp;#8220;Graham, M., Hale, S. A. and Stephens, M. (2011) &lt;/span&gt;&lt;span&gt; &lt;a href="http://www.oii.ox.ac.uk/publications/convoco_geographies_en.pdf" target="_blank"&gt;&lt;span&gt;Geographies of the World&amp;#8217;s Knowledge&lt;/span&gt;&lt;span&gt; &lt;/span&gt;&lt;/a&gt;&lt;/span&gt;&lt;span&gt;. London, Convoco! Edition.&amp;#8221;&lt;/span&gt;&lt;span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p&gt;Source: &lt;a href="http://www.oii.ox.ac.uk/vis/?id=4e3c0200" target="_blank"&gt;Internet Penetration&lt;/a&gt; via &lt;a href="http://www.oii.ox.ac.uk" target="_blank"&gt;Oxford Internet Institute&lt;/a&gt;&lt;/p&gt;
&lt;/div&gt;</description><link>http://worldbank.tumblr.com/post/49371324490</link><guid>http://worldbank.tumblr.com/post/49371324490</guid><pubDate>Wed, 01 May 2013 14:01:00 -0400</pubDate><category>World</category><category>Internet</category><category>Opendata</category><category>Dataviz</category><category>China</category><category>Canada</category><category>Africa</category><category>Kenya</category><category>India</category></item><item><title>Latin America Has More Mobile Phones Than People</title><description>&lt;p&gt;&lt;iframe frameborder="0" height="325" marginheight="0" marginwidth="0" scrolling="no" src="http://www.google.com/publicdata/embed?ds=d5bncppjof8f9_&amp;amp;ctype=l&amp;amp;strail=false&amp;amp;bcs=d&amp;amp;nselm=h&amp;amp;met_y=it_cel_sets_p2&amp;amp;scale_y=lin&amp;amp;ind_y=false&amp;amp;rdim%20=region&amp;amp;idim=region:EAP:LAC:MNA:NAC:SAS:SSA&amp;amp;ifdim=region&amp;amp;tstart=451630800000&amp;amp;tend=1303617600000&amp;amp;hl=en_US&amp;amp;dl=en_US&amp;amp;ind=false" width="550"&gt;&lt;/iframe&gt;&lt;/p&gt;
&lt;p&gt;&lt;span&gt;Latin America has surpassed 100% mobile phone penetration. On average, there are 107 mobile phones per 100 people across the region.&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span&gt;However, this doesn’t mean everyone in Latin America has a phone or that there’s connectivity everywhere. According to data from &lt;/span&gt;&lt;a href="http://www.informa.com/Media-centre/Press-releases--news/Latest-News/Latin-America-reaches-100-mobile-penetration-says-Telecoms--Media/" target="_blank"&gt;&lt;span&gt;Informa&lt;/span&gt;&lt;/a&gt;&lt;span&gt;, many people in urban areas have more than one phone, but there are still some 178 Million people - 30% of the region’s population -  without access to mobile services.&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;You can customize the visualization above in Google Public Data explorer and you can access further data on mobile penetration from the &lt;a href="http://data.worldbank.org/wdi" target="_blank"&gt;World Development Indicators&lt;/a&gt; and the &lt;a href="http://gsma.com/publicpolicy/public-policy-resources/mobile-observatory-series/" target="_blank"&gt;GSMA&lt;/a&gt;.&lt;/p&gt;</description><link>http://worldbank.tumblr.com/post/48769713827</link><guid>http://worldbank.tumblr.com/post/48769713827</guid><pubDate>Wed, 24 Apr 2013 08:28:00 -0400</pubDate><category>latin america</category><category>mobile</category><category>open data</category><category>Google</category><category>Mexico</category><category>Brazil</category><category>world</category><category>ICT4D</category><category>dataviz</category><category>South Asia</category><category>India</category></item><item><title>Does Educating Girls Reduce Fertility Rates?  </title><description>&lt;p&gt;What is the relationship between fertility rates (the average number of births per woman) and female education?&lt;/p&gt;
&lt;p&gt;This visualization of our &lt;a href="http://data.worldbank.org/indicator/SP.DYN.TFRT.IN" target="_blank"&gt;World Development Indicators&lt;/a&gt; shows that the higher the level of female education, the lower the fertility rate.&lt;/p&gt;
&lt;p&gt;For example, in 1991, 57% of girls completed primary school in Ghana and the fertility rate was 5.5. Twenty years later, in 2011, 91% of girls completed primary school and the fertility rate was 4.1. &lt;/p&gt;
&lt;p&gt;Explore the bubble chart below to find out the relationship between fertility rates and female education in your country. &lt;/p&gt;
&lt;p&gt;&lt;iframe frameborder="0" height="325" marginheight="0" marginwidth="0" scrolling="no" src="http://www.google.com/publicdata/embed?ds=d5bncppjof8f9_&amp;amp;ctype=b&amp;amp;strail=false&amp;amp;bcs=d&amp;amp;nselm=s&amp;amp;met_x=completion_rate&amp;amp;fdim_x=education_level:2&amp;amp;fdim_x=gender:2&amp;amp;scale_x=lin&amp;amp;ind_x=false&amp;amp;met_y=sp_dyn_tfrt_in&amp;amp;scale_y=lin&amp;amp;ind_y=false&amp;amp;dimp_c=country:region&amp;amp;idim=country:GHA&amp;amp;ifdim=country&amp;amp;tunit=Y&amp;amp;pit=1302408000000&amp;amp;hl=en_US&amp;amp;dl=en_US&amp;amp;ind=false&amp;amp;icfg=d5bncppjof8f9_%253A1176%253Acountry%26%26GHA:8:-29:" width="470"&gt;&lt;/iframe&gt;&lt;/p&gt;
&lt;p&gt;Source: &lt;a href="http://data.worldbank.org/indicator/SP.DYN.TFRT.IN" target="_blank"&gt;World Development Indicators&lt;/a&gt;&lt;/p&gt;</description><link>http://worldbank.tumblr.com/post/47634797705</link><guid>http://worldbank.tumblr.com/post/47634797705</guid><pubDate>Wed, 10 Apr 2013 14:50:54 -0400</pubDate><category>world</category><category>opendata</category><category>education</category><category>female</category><category>fertility</category><category>india</category><category>Asia</category><category>Europe</category><category>China</category><category>Brazil</category><category>Canada</category><category>Ghana</category><category>Africa</category><category>america</category><category>Kenya</category></item><item><title>How Many Adults use Mobile Money in Sub-Saharan Africa?</title><description>&lt;p class="MsoNormal"&gt;In Sub-Saharan Africa, where traditional banking has been hampered by transportation and other infrastructure problems, mobile banking has expanded to 16% of the market, according to the &lt;a href="http://econ.worldbank.org/WBSITE/EXTERNAL/EXTDEC/EXTRESEARCH/EXTPROGRAMS/EXTFINRES/EXTGLOBALFIN/0,,contentMDK:23147627~pagePK:64168176~piPK:64168140~theSitePK:8519639,00.html?" target="_blank"&gt;Global Findex&lt;/a&gt;, a global financial inclusion database that measures the use of financial services and identifies the unbanked, who experience the greatest barriers to access.&lt;/p&gt;
&lt;p class="MsoNormal"&gt;Check out the chart below to see what percentage of adults in these countries reported using a mobile phone for money transactions.&lt;/p&gt;
&lt;p class="MsoNormal"&gt;Get the data from the &lt;a href="http://econ.worldbank.org/WBSITE/EXTERNAL/EXTDEC/EXTRESEARCH/EXTPROGRAMS/EXTFINRES/EXTGLOBALFIN/0,,contentMDK:23147627~pagePK:64168176~piPK:64168140~theSitePK:8519639,00.html?" target="_blank"&gt;Global Findex&lt;/a&gt;.  &lt;/p&gt;
&lt;p&gt;&lt;iframe frameborder="0" height="450" src="//charts-datawrapper.s3.amazonaws.com/36Bih/index.html?rev=40" width="600"&gt;&lt;/iframe&gt;&lt;/p&gt;
&lt;p&gt;Source: &lt;a href="http://web.worldbank.org/WBSITE/EXTERNAL/TOPICS/EXTFINANCIALSECTOR/0,,contentMDK:23174014~pagePK:210058~piPK:210062~theSitePK:282885,00.html?cid=EXT_TWBN_D_EXT" target="_blank"&gt;Global Findex&lt;/a&gt; &lt;/p&gt;</description><link>http://worldbank.tumblr.com/post/47035303286</link><guid>http://worldbank.tumblr.com/post/47035303286</guid><pubDate>Wed, 03 Apr 2013 14:01:00 -0400</pubDate><category>mobile</category><category>economy</category><category>Angola</category><category>Uganda</category><category>Sudan</category><category>Kenya</category><category>Africa</category><category>Banking</category><category>opendata</category><category>dataviz</category></item><item><title>How Much Do People in Different Countries Spend on Food? </title><description>&lt;p class="MsoNormal"&gt;&lt;span&gt;Generally, as countries develop, people spend proportionally less of their household budget on food, according to the &lt;/span&gt;&lt;a href="http://www.ers.usda.gov/data-products/food-expenditures.aspx#26636%20" target="_blank"&gt;US Department of Agriculture (USDA)&lt;/a&gt; data&lt;span&gt;. &lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;a href="http://www.economist.com/blogs/graphicdetail/2013/03/daily-chart-5" target="_blank"&gt;The Economist&lt;/a&gt; visualized this dataset to show how much people in selected countries spend on food per week&lt;span&gt;. &lt;/span&gt;&lt;/p&gt;
&lt;p class="MsoNormal"&gt;&lt;span&gt;&lt;img alt="image" src="http://media.tumblr.com/9a8d6acce7e3527de4f33f9081bae4e7/tumblr_inline_mk82ykBPt91qz4rgp.png"/&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p class="MsoNormal"&gt;Source: &lt;a href="http://www.economist.com/blogs/graphicdetail/2013/03/daily-chart-5" target="_blank"&gt;The Economist&lt;/a&gt;&lt;/p&gt;</description><link>http://worldbank.tumblr.com/post/46433371247</link><guid>http://worldbank.tumblr.com/post/46433371247</guid><pubDate>Wed, 27 Mar 2013 14:01:30 -0400</pubDate><category>opendata</category><category>food</category><category>china</category><category>india</category><category>russia</category><category>agriculture</category><category>Mexico</category><category>World</category><category>Pakistan</category><category>Brazil</category><category>France</category><category>Hungary</category><category>Japan</category></item><item><title>How the World Uses Freshwater</title><description>&lt;p class="MsoNormal"&gt;&lt;span&gt;Today is World Water Day. Did you know 70% of freshwater&lt;/span&gt; is used for irrigation, 22% for industry and 8% for domestic use?&lt;/p&gt;
&lt;p&gt;Water use has been growing at more than twice the rate of population, according to the &lt;a href="http://www.unwater.org/statistics_use.html" target="_blank"&gt;Food and Agriculture Organization of the United Nations (FAO) and UN-Water&lt;/a&gt;.&lt;/p&gt;
&lt;p&gt;&lt;iframe frameborder="0" height="732" scrolling="no" src="//infogr.am/WorldWaterDay2013" width="550"&gt;&lt;/iframe&gt;&lt;/p&gt;
&lt;p&gt;Source: &lt;a href="http://www.unwater.org/statistics.html" target="_blank"&gt;UN-Water.org&lt;/a&gt;&lt;/p&gt;</description><link>http://worldbank.tumblr.com/post/45987794375</link><guid>http://worldbank.tumblr.com/post/45987794375</guid><pubDate>Fri, 22 Mar 2013 09:00:00 -0400</pubDate><category>water</category><category>worldwaterday</category><category>dataviz</category><category>opendata</category><category>world</category><category>industry</category><category>agriculture</category><category>irrigation</category></item><item><title>Visualizing the Relationship Between Internet Usage and GDP per capita</title><description>&lt;p&gt;&lt;p class="MsoNormal"&gt;As a country&amp;#8217;s GDP per capita increases, how do internet penetration rates change?&lt;/p&gt;
&lt;p class="MsoNormal"&gt;&lt;a href="http://ramiro.org/" target="_blank"&gt;Ramiro Gómez&lt;/a&gt;, a Berlin based freelance software developer created a &lt;a href="http://visual.ly/internet-users-countries-1990-2011?view=true" target="_blank"&gt;data visualization&lt;/a&gt; to show the percentage of Internet users in relation to the GDP per capita for countries from 1990 to 2011.&lt;/p&gt;
&lt;p class="MsoNormal"&gt;Get the data from the &lt;a href="http://data.worldbank.org/indicator/IT.NET.USER.P2" target="_blank"&gt;World Development Indicators&lt;/a&gt;. &lt;a href="http://data.worldbank.org/data-catalog/world-development-indicators" target="_blank"&gt;&lt;br/&gt;&lt;/a&gt;&lt;/p&gt;
&lt;p class="MsoNormal"&gt;&lt;a href="http://visual.ly/internet-users-countries-1990-2011?view=true" target="_blank"&gt;&lt;img alt="image" src="http://media.tumblr.com/0df9633d2b74e3a52a4f2b9cb02b6986/tumblr_inline_mjibqyGEl91qz4rgp.png"/&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p class="MsoNormal"&gt;Source: &lt;a href="http://visual.ly/internet-users-countries-1990-2011?view=true" target="_blank"&gt;Visual.ly&lt;/a&gt;&lt;a href="http://visual.ly/internet-users-countries-1990-2011?view=true" title="World Bank" target="_blank"&gt;&lt;br/&gt;&lt;/a&gt;&lt;/p&gt;&lt;/p&gt;</description><link>http://worldbank.tumblr.com/post/45766793425</link><guid>http://worldbank.tumblr.com/post/45766793425</guid><pubDate>Tue, 19 Mar 2013 14:03:11 -0400</pubDate><category>dataviz</category><category>opendata</category><category>brazil</category><category>china</category><category>india</category><category>gdp</category><category>economy</category><category>world</category><category>Kenya</category><category>Canada</category><category>South Africa</category></item><item><title>Temperature Change by 2100</title><description>&lt;p class="MsoNormal"&gt;&lt;span&gt;In 2012, we &lt;/span&gt;warned that the &lt;a href="http://climatechange.worldbank.org/sites/default/files/Turn_Down_the_heat_Why_a_4_degree_centrigrade_warmer_world_must_be_avoided.pdf" target="_blank"&gt;world temperature is on track to increase 4°C by 2100&lt;/a&gt; without concerted, global action to fight climate change&lt;/p&gt;
&lt;p class="MsoNormal"&gt;How hot might your country get by 2100? Find out in the map below, or click here for the full interactive feature: &lt;a href="http://bit.ly/ZwXhKY" target="_blank"&gt;http://bit.ly/ZwXhKY&lt;/a&gt;&lt;/p&gt;
&lt;p class="MsoNormal"&gt;&lt;span&gt;This map is based on the assumption that the world population may peak mid-century and decline thereafter. It also assumes rapid changes in economic structures and the introduction of clean and resource-efficient technologies.&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;iframe frameborder="0" height="500" src="http://api.tiles.mapbox.com/v2/worldbank-climate.wbc-temp-anom-b1,worldbank-climate.wbc-borders,worldbank-climate.wbc-borders/mm/zoompan,tooltips,legend,bwdetect.html#2/19/-10.999999999999987" width="500"&gt;&lt;/iframe&gt;&lt;/p&gt;
&lt;p&gt;&lt;span&gt;Source: &lt;/span&gt;&lt;a href="http://sdwebx.worldbank.org/climateportal/index.cfm" target="_blank"&gt;Climate Change Knowledge Portal&lt;/a&gt;&lt;/p&gt;</description><link>http://worldbank.tumblr.com/post/45354367747</link><guid>http://worldbank.tumblr.com/post/45354367747</guid><pubDate>Thu, 14 Mar 2013 14:01:00 -0400</pubDate><category>world</category><category>map</category><category>opendata</category><category>Dataviz</category><category>India</category><category>indonesia</category><category>Brazil</category><category>China</category><category>4degrees</category><category>climate change</category></item><item><title>1 in 5 Parliamentarians Worldwide are Women</title><description>&lt;p&gt;&lt;p class="MsoNormal"&gt;How many women and men are in parliaments worldwide?&lt;/p&gt;
&lt;p class="MsoNormal"&gt;In many countries, increased women participation still depends on quotas, according to &lt;a href="http://www.ipu.org/english/home.htm" target="_blank"&gt;Inter-Parliamentary Union&lt;/a&gt;, an international organization of parliaments.&lt;/p&gt;
&lt;p class="MsoNormal"&gt;Check out the chart below to see how many women are Member of Parliaments (MPs) worldwide compared to men.&lt;/p&gt;
&lt;p class="MsoNormal"&gt;Get the &lt;a href="http://www.ipu.org/wmn-e/world.htm" target="_blank"&gt;data&lt;/a&gt; from the Inter-Parliamentary Union.&lt;/p&gt;
&lt;p class="MsoNormal"&gt;&lt;img src="http://media.tumblr.com/c2b9dcdccfc947f33e6411ae563c193e/tumblr_inline_mjcn549z6q1qz4rgp.png"/&gt;&lt;/p&gt;

&lt;p class="MsoNormal"&gt;Source: &lt;a href="http://www.ipu.org/wmn-e/world.htm" target="_blank"&gt;Inter-Parliamentary Union.&lt;/a&gt;&lt;/p&gt;&lt;/p&gt;</description><link>http://worldbank.tumblr.com/post/44863850766</link><guid>http://worldbank.tumblr.com/post/44863850766</guid><pubDate>Fri, 08 Mar 2013 10:59:00 -0500</pubDate><category>WID2013</category><category>Men</category><category>Parliaments</category><category>Gender</category><category>opendata</category><category>women</category></item><item><title>Visualizing the Variation in Obesity Worldwide </title><description>&lt;p&gt;Here&amp;#8217;s a fine example of telling a different story by visualizing &lt;a href="http://worldbank.tumblr.com/day/2013/02/27/" target="_blank"&gt;the same data from yesterday&amp;#8217;s post &lt;/a&gt;in a new way. Kudos to &lt;a href="http://www.guardian.co.uk/news/datablog/interactive/2013/feb/19/obesity-map-of-world-weight" target="_blank"&gt;The Guardian&lt;/a&gt; for making the data behind their original work easily accessible. &lt;/p&gt;
&lt;p&gt;&lt;span&gt;From 2002 and 2010, obesity levels have increased substantially around the world:&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;a href="http://neoformix.com/Projects/ObesitySlope/" target="_blank"&gt;&lt;span&gt;&lt;img alt="image" src="http://media.tumblr.com/b56607785cf3904a951e790a1a68eb7e/tumblr_inline_miy0nqFAtr1qz4rgp.png"/&gt;&lt;/span&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Which countries have the greatest difference in obesity rates between men and women?&lt;/p&gt;

&lt;p&gt;&lt;img alt="image" src="http://media.tumblr.com/cea00f4a51e936451c146809609fc6b6/tumblr_inline_miy6k3klK21qz4rgp.jpg"/&gt;&lt;/p&gt;
&lt;p&gt;&lt;a href="http://neoformix.com/Projects/ObesitySlope/" target="_blank"&gt;Neoformix&lt;/a&gt;, a Toronto-based data visualization company used &lt;a href="https://apps.who.int/infobase/Index.aspx" target="_blank"&gt;data&lt;/a&gt; from the &lt;a href="https://apps.who.int/infobase/Index.aspx" target="_blank"&gt;World Health Organization&lt;/a&gt; (WHO) via &lt;a href="http://www.guardian.co.uk/news/datablog/interactive/2013/feb/19/obesity-map-of-world-weight" target="_blank"&gt;The Guardian&lt;/a&gt; to produce&lt;a href="http://neoformix.com/Projects/ObesitySlope/" target="_blank"&gt; this series of interactive slope charts. &lt;/a&gt;&lt;/p&gt;
&lt;p&gt;The charts show by country and by continent changes in obesity levels between 2002 and 2010, as well as the difference in obesity levels between men and women within countries. &lt;/p&gt;
&lt;p&gt;Click on your continent in this &lt;a href="http://neoformix.com/Projects/ObesitySlope/" target="_blank"&gt;full interactive feature&lt;/a&gt;&lt;span class="apple-converted-space"&gt; &lt;/span&gt;to find out about the obesity level in your country. &lt;/p&gt;
&lt;p&gt;Source: &lt;a href="http://neoformix.com/Projects/ObesitySlope/" target="_blank"&gt;Neoformix&lt;/a&gt;&lt;/p&gt;</description><link>http://worldbank.tumblr.com/post/44231530132</link><guid>http://worldbank.tumblr.com/post/44231530132</guid><pubDate>Thu, 28 Feb 2013 14:13:00 -0500</pubDate><category>opendata</category><category>India</category><category>Mexico</category><category>Indonesia</category><category>Dataviz</category><category>Turkey</category><category>Canda</category><category>Brazil</category><category>South Africa</category><category>Kenya</category><category>China</category></item></channel></rss>
