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<rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0" xmlns:media="http://search.yahoo.com/mrss/"><channel><title><![CDATA[Top Dollar]]></title><description><![CDATA[Blog focused on exploring personal finance and economic mobility using data visualization.]]></description><link>http://topdollar.io/</link><generator>Ghost 0.7</generator><lastBuildDate>Tue, 02 Jun 2026 15:54:46 GMT</lastBuildDate><atom:link href="http://topdollar.io/rss/" rel="self" type="application/rss+xml"/><ttl>60</ttl><item><title><![CDATA[U.S. Housing Affordability]]></title><description><![CDATA[<div class="container-fluid">  
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<p><b>How affordable is housing? </b>The answer varies based on the area of the U.S. But first, what is the definition of affordable? One way to look at it is the ratio of the median household salary to the median price of a single family home in a given area.</p></div></div></div>]]></description><link>http://topdollar.io/housing-affordability/</link><guid isPermaLink="false">fe8cb935-8bc9-4ac1-8b29-3434b4aba669</guid><dc:creator><![CDATA[Krista Williams]]></dc:creator><pubDate>Fri, 30 Oct 2015 00:54:37 GMT</pubDate><content:encoded><![CDATA[<div class="container-fluid">  
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<p><b>How affordable is housing? </b>The answer varies based on the area of the U.S. But first, what is the definition of affordable? One way to look at it is the ratio of the median household salary to the median price of a single family home in a given area. When graphed this way, there is a lot of variation in how large this ratio is, as seen below on the chart which plots the data of the 50 most populous U.S. cities. </p>  
<hr>  
<p> Choose A City</p>  
<div class="form-group">  
<select class="form-control"></select>  
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<p></p></div> <br>
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<div class="row chart-container">  
<div class="col-xs-12 col-md-4 col-lg-4 chart-section city-data">  
<h1 class="city-name"></h1>  
<h3><span class="ratio"></span>x income to purchase a house</h3>  
<p> Median house price: $<span class="house-price"></span></p>  
<p> Median household income: $<span class="median-income"></span></p>  
<p> Recommended income to comfortably afford a house  
<sup class="income-info" data-toggle="tooltip" data-placement="top" title="Experts recommend purchasing homes priced at 3 times the household's income or less. 2 to 2.5 times the income would be ideal, and 4 times the income should be the maximum price paid if possible.">  
<i class="fa fa-info-circle"></i>  
</sup>:  
$<span class="recommended-income"></span>
</p>


<div class="referenced">  
  <h1>References</h1>
  <ul> 
    <li> Data from <a href="http://www.zillow.com">Zillow</a>'s API</li>
    <li> <a href="http://budgeting.thenest.com/reasonable-mortgage-22046.html">
                    <b>The Nest</b> - What Is a Reasonable Mortgage?
                   </a>
              </li>
              <li>
                <a href="http://www.mymoneyblog.com/4-different-rules-of-thumb-for-how-much-house-you-can-afford.html">
                  <b>My Money Blog</b> - 4 Different Rules of Thumb For How Much House You Can Afford
                </a>
              </li>
            </ul>
          </div>
</div>

<div class="col-xs-12 col-md-8 col-lg-8 ratio-chart">  
<div id="cities-chart" class="ct-chart ct-perfect-fourth"></div>  
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<p></p></div><p></p>

<div class="row some-numbers">  
<div id="usa-map-container" class="hidden-xs hidden-sm col-md-6 col-lg-6">  
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<p></p></div>  <p></p>

<div id="facts" class="col-xs-12 col-md-6">  
<div id="lowest-ratio" class="fact">  
<h1>Lowest Ratio</h1>  
<p class="fact-ratio"> 1.32</p>  
<p>Detroit</p>  
</div>  

<div id="greatest-ratio" class="fact">  
<h1>Highest Ratio</h1>  
<p class="fact-ratio"> 18.49 </p>  
<p>San Francisco</p>  
</div>  

<div id="cities" class="fact">  
<h1> U.S. Median Ratio</h1>  
<p class="fact-ratio"> 3.46 </p>  
<p>  
</p></div>  

<div id="midwest" class="fact fact-region">  
<h1> Midwestern Cities Average Ratio</h1>  
<p class="fact-ratio region"></p>  
<p class="regional-cities"></p>  
<p>  
</p></div>  

<div id="south" class="fact fact-region">  
<h1> Southern Cities Average Ratio</h1>  
<p class="fact-ratio"></p>  
<p class="regional-cities"></p>  
</div>  

<div id="northeast" class="fact fact-region">  
<h1> Northeast Cities Average Ratio</h1>  
<p class="fact-ratio"></p>  
<p class="regional-cities"></p>  
</div>  

<div id="west" class="fact fact-region">  
<h1> Western Cities Average Ratio</h1>  
<p class="fact-ratio"></p>  
<p class="regional-cities cities list-group"></p>  
</div>  

<p></p></div> <br>
</div>  <p></p>

<div class="row more-info">  
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<h1>The median income-to-house price ratio in the U.S. is <b>3.46</b>. </h1>

<h1> Experts recommend that a house's price should be ideally <b>2.5</b> to <b>3</b> times a household's income, and that the price should not exceed <b>4</b> times the household's income. </h1>

<h1>However, of the 50 most populous cities in the U.S., in only <b>10</b> of them can a household making the median income for the city to purchase a median-priced home without paying more than 4 times its income.</h1>  
</div>  

<p></p></div> <br>
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<script src="https://googledrive.com/host/0B6pBInvukuKoTFZuWEV5dEd3X28"></script>]]></content:encoded></item><item><title><![CDATA[Who Majors in Engineering and Computer Science?]]></title><description><![CDATA[<div class="container-fluid">  
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<p><b>Are there gender and/or racial differences in the percentage of college graduates that have attained engineering and computer science degrees?</b> Choice of college major is highly correlated with after-college earnings, and engineering majors as well as computer science majors often receive the highest renumeration in salary.</p>  
<hr>  
</div>  

<p></p></div><p></p>

<div class="row degrees-by-gender">  
<div class="col-xs-12">

<h2> Percentage of College</h2></div></div></div>]]></description><link>http://topdollar.io/engineering_majors/</link><guid isPermaLink="false">21ef1937-3f1c-40f4-bc8c-8ce50b892112</guid><dc:creator><![CDATA[Krista Williams]]></dc:creator><pubDate>Sun, 25 Oct 2015 19:20:11 GMT</pubDate><content:encoded><![CDATA[<div class="container-fluid">  
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<div class="col-lg-12">  
<p><b>Are there gender and/or racial differences in the percentage of college graduates that have attained engineering and computer science degrees?</b> Choice of college major is highly correlated with after-college earnings, and engineering majors as well as computer science majors often receive the highest renumeration in salary.</p>  
<hr>  
</div>  

<p></p></div><p></p>

<div class="row degrees-by-gender">  
<div class="col-xs-12">

<h2> Percentage of College Graduates with Engineering Degrees</h2>  
<div class="all-by-gender-chart" style="height=400px;"></div>  
</div>

<div class="col-xs-12 reference">  
<div class="pull-right">  
<b>Source</b>:  
<a href="http://www.nsf.gov/statistics/wmpd/2013/race.cfm">National Science Foundation</a>  
</div>  

<p></p></div><p></p>

<div class="col-xs-12">  
<p> In all races, men are significantly more likely to hold an engineering degree than women. When we look at all graduates, men hold around <b> 8% </b> of engineering degrees, while women hold a little over <b> 1% </b> of engineering degrees. About <b>4%</b> of all college graduates hold engineering degrees. Though the gender gap holds among all races, the size of the gap differs between them. Asian women are more than twice as likely to have an engineering degree than other women on average, and Asian men are almost twice as likely the population as a whole to hold an engineering degree. </p>  
</div>  

<p></p></div><p></p>

<div class="row cs-degrees-by-gender">  
<div class="col-xs-12">  
<h2> Percentage of College Graduates with Computer Science Degrees</h2>  
<div class="cs-by-gender-chart" style="height=400px;">  
</div>  

<p></p></div><p></p>

<div class="col-xs-12 reference">  
<div class="pull-right">  
<b>Source</b>:  
<a href="http://www.nsf.gov/statistics/wmpd/2013/race.cfm">National Science Foundation</a>  
</div>  

<p></p></div><p></p>

<div class="col-xs-12">  
<p> A similar pattern exists for computer science degree holders. For the college graduate population as a whole, 5 percent of men hold computer science degrees, while less than 1% of women do. Among different racial groups, black women are least likely to hold a computer science degree, having an attainment percentage close to 0%, and Asian women are slightly more likely than all women to hold a degree.</p> 

<p>Interestingly, among men of different races, the percentage of male graduates who have attained a computer science degree doesn't vary more than 2 percentage points. While black men are less than half  as likely (4%) as Asian men (13.5%) to major in engineering, black men major in computer science more frequently than they do in engineering and they are around as likely as Asian men to do so.  
</p>  
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