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		<title>Women Over 40 Are Now Having More Babies Than U.S. Teenagers</title>
		<link>https://www.visualcapitalist.com/women-over-40-are-now-having-more-babies-than-u-s-teenagers/</link>
		
		<dc:creator><![CDATA[Dorothy Neufeld]]></dc:creator>
		<pubDate>Sun, 05 Jul 2026 18:16:15 +0000</pubDate>
				<category><![CDATA[Maps]]></category>
		<category><![CDATA[Demographics]]></category>
		<category><![CDATA[population trends]]></category>
		<category><![CDATA[parenthood]]></category>
		<category><![CDATA[U.S. states]]></category>
		<category><![CDATA[birth rates]]></category>
		<category><![CDATA[fertility rates]]></category>
		<category><![CDATA[demographics]]></category>
		<guid isPermaLink="false">https://www.visualcapitalist.com/?p=200976</guid>

					<description><![CDATA[See where Americans are having babies after 40. Explore the states with the highest birth rates and why later parenthood is on the rise.]]></description>
										<content:encoded><![CDATA[<div class="rss-image"><p><a class="licensing-button" href="https://licensing.visualcapitalist.com/product/women-over-40-are-now-having-more-babies-than-u-s-teenagers/" target="_blank">Use This Visualization</a></p>
</div><h2>Women Over 40 Are Now Having More Babies Than Teenagers</h2>
<div class="key-takeaways">
<h3>Key Takeaways</h3>
<ul>
<li>Women ages 40 and older now have more babies than U.S. teenagers, reflecting a major shift in when Americans start families.</li>
<li>Birth rates among women ages 40–49 increased 24% nationwide between 2015 and 2024.</li>
<li>Washington, D.C., New York, and New Jersey recorded the nation&#8217;s highest birth rates among women ages 40–49.</li>
</ul>
</div>
<p>Americans are increasingly reaching major life milestones later than previous generations, and parenthood is no exception.</p>
<p>While overall U.S. fertility rates have fallen for decades, births among women over 40 are moving in the opposite direction. Rising education levels, delayed marriage, and high housing costs have all contributed to a growing share of women waiting longer to have children.</p>
<p>Using newly published <a href="https://www.ncbi.nlm.nih.gov/books/NBK622188/" target="_blank">research</a> based on National Vital Statistics System data, this map shows where births among women ages 40–49 are most common across the country.</p>
<h2>Births After 40 Are Growing Nationwide</h2>
<p>For the first time, women over 40 are having more babies than teenagers. Since 1990, the share of U.S. births to women 40 and older has more than tripled, reaching 4.3% in 2025, while birth rates among women ages 40–49 rose 24% over the past decade.</p>
<p>The table below highlights where births among women ages 40–49 were most common in 2024. Washington, D.C., recorded the highest rate in the nation at 13.6 births per 1,000 women, followed by New York, New Jersey, and Hawaii. 
<table id="tablepress-7633" class="tablepress tablepress-id-7633">
<thead>
<tr class="row-1">
	<th class="column-1">State</th><th class="column-2">Births per 1,000 Women<br>2015 (Ages 40-49)</th><th class="column-3">Births per 1,000 Women<br>2024 (Ages 40-49)</th><th class="column-4">% Change</th>
</tr>
</thead>
<tbody class="row-striping row-hover">
<tr class="row-2">
	<td class="column-1">District of Columbia</td><td class="column-2">13.1</td><td class="column-3">13.6</td><td class="column-4">4%</td>
</tr>
<tr class="row-3">
	<td class="column-1">New York</td><td class="column-2">8.3</td><td class="column-3">10.5</td><td class="column-4">27%</td>
</tr>
<tr class="row-4">
	<td class="column-1">New Jersey</td><td class="column-2">7.4</td><td class="column-3">9.8</td><td class="column-4">32%</td>
</tr>
<tr class="row-5">
	<td class="column-1">Hawaii</td><td class="column-2">8.6</td><td class="column-3">9.7</td><td class="column-4">13%</td>
</tr>
<tr class="row-6">
	<td class="column-1">California</td><td class="column-2">8.4</td><td class="column-3">9.6</td><td class="column-4">14%</td>
</tr>
<tr class="row-7">
	<td class="column-1">Maryland</td><td class="column-2">7.0</td><td class="column-3">9.2</td><td class="column-4">31%</td>
</tr>
<tr class="row-8">
	<td class="column-1">Massachusetts</td><td class="column-2">6.9</td><td class="column-3">9.0</td><td class="column-4">30%</td>
</tr>
<tr class="row-9">
	<td class="column-1">Connecticut</td><td class="column-2">6.0</td><td class="column-3">8.5</td><td class="column-4">42%</td>
</tr>
<tr class="row-10">
	<td class="column-1">Virginia</td><td class="column-2">6.3</td><td class="column-3">8.0</td><td class="column-4">27%</td>
</tr>
<tr class="row-11">
	<td class="column-1">Delaware</td><td class="column-2">5.0</td><td class="column-3">7.8</td><td class="column-4">56%</td>
</tr>
<tr class="row-12">
	<td class="column-1">Alaska</td><td class="column-2">5.8</td><td class="column-3">7.7</td><td class="column-4">33%</td>
</tr>
<tr class="row-13">
	<td class="column-1">Washington</td><td class="column-2">6.4</td><td class="column-3">7.6</td><td class="column-4">19%</td>
</tr>
<tr class="row-14">
	<td class="column-1">Florida</td><td class="column-2">5.8</td><td class="column-3">7.5</td><td class="column-4">29%</td>
</tr>
<tr class="row-15">
	<td class="column-1">Colorado</td><td class="column-2">6.1</td><td class="column-3">7.3</td><td class="column-4">20%</td>
</tr>
<tr class="row-16">
	<td class="column-1">Minnesota</td><td class="column-2">5.5</td><td class="column-3">7.3</td><td class="column-4">33%</td>
</tr>
<tr class="row-17">
	<td class="column-1">Rhode Island</td><td class="column-2">5.2</td><td class="column-3">7.2</td><td class="column-4">38%</td>
</tr>
<tr class="row-18">
	<td class="column-1">Illinois</td><td class="column-2">6.0</td><td class="column-3">6.9</td><td class="column-4">15%</td>
</tr>
<tr class="row-19">
	<td class="column-1">Texas</td><td class="column-2">5.9</td><td class="column-3">6.8</td><td class="column-4">15%</td>
</tr>
<tr class="row-20">
	<td class="column-1">Georgia</td><td class="column-2">5.3</td><td class="column-3">6.5</td><td class="column-4">23%</td>
</tr>
<tr class="row-21">
	<td class="column-1">Nebraska</td><td class="column-2">5.5</td><td class="column-3">6.5</td><td class="column-4">18%</td>
</tr>
<tr class="row-22">
	<td class="column-1">Nevada</td><td class="column-2">6.0</td><td class="column-3">6.5</td><td class="column-4">8%</td>
</tr>
<tr class="row-23">
	<td class="column-1">Utah</td><td class="column-2">6.4</td><td class="column-3">6.5</td><td class="column-4">2%</td>
</tr>
<tr class="row-24">
	<td class="column-1">Pennsylvania</td><td class="column-2">4.7</td><td class="column-3">6.4</td><td class="column-4">36%</td>
</tr>
<tr class="row-25">
	<td class="column-1">Oregon</td><td class="column-2">5.8</td><td class="column-3">6.3</td><td class="column-4">9%</td>
</tr>
<tr class="row-26">
	<td class="column-1">Vermont</td><td class="column-2">3.7</td><td class="column-3">6.3</td><td class="column-4">70%</td>
</tr>
<tr class="row-27">
	<td class="column-1">North Carolina</td><td class="column-2">4.6</td><td class="column-3">6.2</td><td class="column-4">35%</td>
</tr>
<tr class="row-28">
	<td class="column-1">Arizona</td><td class="column-2">5.7</td><td class="column-3">6.1</td><td class="column-4">7%</td>
</tr>
<tr class="row-29">
	<td class="column-1">Idaho</td><td class="column-2">5.2</td><td class="column-3">6.1</td><td class="column-4">17%</td>
</tr>
<tr class="row-30">
	<td class="column-1">New Hampshire</td><td class="column-2">4.2</td><td class="column-3">6.0</td><td class="column-4">43%</td>
</tr>
<tr class="row-31">
	<td class="column-1">South Dakota</td><td class="column-2">4.8</td><td class="column-3">5.8</td><td class="column-4">21%</td>
</tr>
<tr class="row-32">
	<td class="column-1">Maine</td><td class="column-2">3.5</td><td class="column-3">5.7</td><td class="column-4">63%</td>
</tr>
<tr class="row-33">
	<td class="column-1">North Dakota</td><td class="column-2">4.5</td><td class="column-3">5.7</td><td class="column-4">27%</td>
</tr>
<tr class="row-34">
	<td class="column-1">South Carolina</td><td class="column-2">4.1</td><td class="column-3">5.7</td><td class="column-4">39%</td>
</tr>
<tr class="row-35">
	<td class="column-1">Wisconsin</td><td class="column-2">4.3</td><td class="column-3">5.6</td><td class="column-4">30%</td>
</tr>
<tr class="row-36">
	<td class="column-1">Tennessee</td><td class="column-2">3.8</td><td class="column-3">5.5</td><td class="column-4">45%</td>
</tr>
<tr class="row-37">
	<td class="column-1">Indiana</td><td class="column-2">4.0</td><td class="column-3">5.4</td><td class="column-4">35%</td>
</tr>
<tr class="row-38">
	<td class="column-1">Kansas</td><td class="column-2">4.6</td><td class="column-3">5.4</td><td class="column-4">17%</td>
</tr>
<tr class="row-39">
	<td class="column-1">Iowa</td><td class="column-2">4.0</td><td class="column-3">5.3</td><td class="column-4">33%</td>
</tr>
<tr class="row-40">
	<td class="column-1">Michigan</td><td class="column-2">4.2</td><td class="column-3">5.3</td><td class="column-4">26%</td>
</tr>
<tr class="row-41">
	<td class="column-1">Montana</td><td class="column-2">4.9</td><td class="column-3">5.3</td><td class="column-4">8%</td>
</tr>
<tr class="row-42">
	<td class="column-1">Ohio</td><td class="column-2">4.0</td><td class="column-3">5.2</td><td class="column-4">30%</td>
</tr>
<tr class="row-43">
	<td class="column-1">New Mexico</td><td class="column-2">4.3</td><td class="column-3">5.1</td><td class="column-4">19%</td>
</tr>
<tr class="row-44">
	<td class="column-1">Louisiana</td><td class="column-2">3.9</td><td class="column-3">5.0</td><td class="column-4">28%</td>
</tr>
<tr class="row-45">
	<td class="column-1">Missouri</td><td class="column-2">3.7</td><td class="column-3">4.9</td><td class="column-4">32%</td>
</tr>
<tr class="row-46">
	<td class="column-1">Kentucky</td><td class="column-2">3.4</td><td class="column-3">4.6</td><td class="column-4">35%</td>
</tr>
<tr class="row-47">
	<td class="column-1">Alabama</td><td class="column-2">3.1</td><td class="column-3">4.5</td><td class="column-4">45%</td>
</tr>
<tr class="row-48">
	<td class="column-1">Oklahoma</td><td class="column-2">4.0</td><td class="column-3">4.5</td><td class="column-4">13%</td>
</tr>
<tr class="row-49">
	<td class="column-1">Wyoming</td><td class="column-2">4.4</td><td class="column-3">4.5</td><td class="column-4">2%</td>
</tr>
<tr class="row-50">
	<td class="column-1">Arkansas</td><td class="column-2">3.3</td><td class="column-3">4.3</td><td class="column-4">30%</td>
</tr>
<tr class="row-51">
	<td class="column-1">Mississippi</td><td class="column-2">2.8</td><td class="column-3">3.8</td><td class="column-4">36%</td>
</tr>
<tr class="row-52">
	<td class="column-1">West Virginia</td><td class="column-2">2.9</td><td class="column-3">3.3</td><td class="column-4">14%</td>
</tr>
</tbody>
<tfoot>
<tr class="row-53">
	<th class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1fa-1f1f8.png" alt="🇺🇸" class="wp-smiley" style="height: 1em; max-height: 1em;" /> U.S. Average</th><th class="column-2">5.8</th><th class="column-3">7.2</th><th class="column-4">24%</th>
</tr>
</tfoot>
</table>
<!-- #tablepress-7633 from cache --></p>
<p>Many of the highest-ranking states are both highly educated and expensive, with <a href="https://www.visualcapitalist.com/mapped-years-of-income-needed-to-buy-a-home-by-state/" target="_blank">steep housing costs</a> increasingly delaying homeownership and parenthood.</p>
<p>By contrast, Southern states account for seven of the 10 lowest birth rates among women in their 40s, including West Virginia, Mississippi, and Arkansas. Still, most have seen double-digit growth since 2015, highlighting how later parenthood is rising even in lower-rate states.</p>
<h2>How Education Is Reshaping America&#8217;s Birth Rates</h2>
<p>The average age of first-time mothers reached a record 27.5 years in 2023, rising from 21 in 1972.</p>
<p>Compared with previous decades, Americans are also spending more years in higher education. With more time spent attaining degrees and advancing their careers, women are increasingly deferring childbirth into their 30s and 40s.</p>
<p>Researchers have also found that older parents often bring greater financial resources. Studies suggest that children of older mothers <a href="https://chicagopolicyreview.org/2019/05/06/is-older-really-wiser-maternal-age-and-child-development/" target="_blank">perform better</a> on math and behavioral assessments, largely due to higher levels of parental education and income rather than age itself.</p>
<h2>Later Parenthood Is Becoming More Visible</h2>
<p>Births after 40 remain uncommon compared with women in their 20s or 30s. Yet their rapid growth highlights how much the timeline of adulthood has changed.</p>
<p>Previous generations often married, purchased homes, and started families in their 20s. Today, many Americans spend longer pursuing education, building careers, and <a href="https://www.visualcapitalist.com/how-long-it-takes-to-save-for-a-home-in-every-u-s-state/" target="_blank">saving for housing</a> before reaching those milestones.</p>
<p>As those timelines shift, later parenthood is becoming a more visible part of the American family landscape.</p>
<h2>Learn More on the Voronoi App <img decoding="async" style="vertical-align: middle;" src="https://www.visualcapitalist.com/wp-content/uploads/2023/12/voronoi-icon-transparent.png" width="40px" /></h2>
<p>To learn more about this topic, check out this <a href="https://www.voronoiapp.com/economy/Mapped-The-Cost-of-Raising-a-Child-in-Each-US-State-in-2025-7331" target="_blank">graphic</a> on the cost of raising a child in every state.</p>
]]></content:encoded>
					
		
		
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		<item>
		<title>Ranked: The 50 Highest-Paid Creators in 2026</title>
		<link>https://www.visualcapitalist.com/50-highest-paid-creators-in-2026/</link>
		
		<dc:creator><![CDATA[Srijaa Chatterjee]]></dc:creator>
		<pubDate>Sun, 05 Jul 2026 16:35:50 +0000</pubDate>
				<category><![CDATA[Media]]></category>
		<category><![CDATA[Money]]></category>
		<category><![CDATA[social media]]></category>
		<category><![CDATA[Creator Business]]></category>
		<category><![CDATA[MrBeast]]></category>
		<category><![CDATA[Content Creators]]></category>
		<category><![CDATA[Creator Economy]]></category>
		<category><![CDATA[pop culture]]></category>
		<category><![CDATA[online video]]></category>
		<category><![CDATA[tiktok]]></category>
		<category><![CDATA[influencer marketing]]></category>
		<category><![CDATA[digital media]]></category>
		<category><![CDATA[youtube]]></category>
		<category><![CDATA[forbes]]></category>
		<guid isPermaLink="false">https://www.visualcapitalist.com/?p=201970</guid>

					<description><![CDATA[See the 50 highest-paid creators of 2026, led by MrBeast, who earned $300 million as the creator economy surpassed $1 billion.]]></description>
										<content:encoded><![CDATA[<div class="rss-image"><p><a class="licensing-button" href="https://licensing.visualcapitalist.com/product/50-highest-paid-creators-in-2026/" target="_blank">Use This Visualization</a></p>
</div><h2>Ranked: The 50 Highest-Paid Creators in 2026</h2>
<div class="key-takeaways">
<h3>Key Takeaways:</h3>
<ul>
<li>Forbes estimates the world&#8217;s 50 highest-earning creators made a combined $1.02 billion between March 2025 and March 2026.</li>
<li>MrBeast led the ranking with an estimated $300 million, earning roughly 4.6 times more than second-place Dhar Mann.</li>
<li>The list spans entertainers, educators, gamers, podcasters, and business creators, reflecting the growing diversity of the creator economy.</li>
</ul>
</div>
<p>From YouTubers to podcasters and educators, today&#8217;s biggest creators are building businesses that extend far beyond social media. Many now generate revenue from consumer brands, subscriptions, live events, licensing, and other ventures alongside their online content.</p>
<p>Forbes&#8217; <a href="https://www.forbes.com/sites/stevenbertoni/2026/06/23/forbes-top-creators-2026/" target="_blank" rel="noopener">Top Creators 2026</a> ranking measures that evolution using estimated earnings, audience size, engagement, and entrepreneurial success. The result is a snapshot of how digital creators are becoming some of the most influential media entrepreneurs in the world.</p>
<h2>The World&#8217;s Highest-Earning Creators</h2>
<p>Here&#8217;s a look at the biggest earners in the creator economy, based on the latest rankings.</p>

<table id="tablepress-7690" class="tablepress tablepress-id-7690">
<thead>
<tr class="row-1">
	<th class="column-1">Rank</th><th class="column-2">Creator</th><th class="column-3">March 2025 to March 2026 Estimated Earnings ($M)</th><th class="column-4">Followers (Millions)</th>
</tr>
</thead>
<tbody class="row-striping row-hover">
<tr class="row-2">
	<td class="column-1">1</td><td class="column-2">MrBeast</td><td class="column-3">300</td><td class="column-4">873.0</td>
</tr>
<tr class="row-3">
	<td class="column-1">2</td><td class="column-2">Dhar Mann</td><td class="column-3">65</td><td class="column-4">171.0</td>
</tr>
<tr class="row-4">
	<td class="column-1">3</td><td class="column-2">Steven Bartlett</td><td class="column-3">52</td><td class="column-4">38.7</td>
</tr>
<tr class="row-5">
	<td class="column-1">4</td><td class="column-2">Markiplier</td><td class="column-3">38</td><td class="column-4">76.8</td>
</tr>
<tr class="row-6">
	<td class="column-1">5</td><td class="column-2">Rhett &amp; Link</td><td class="column-3">37</td><td class="column-4">45.6</td>
</tr>
<tr class="row-7">
	<td class="column-1">6</td><td class="column-2">Codie Sanchez</td><td class="column-3">31</td><td class="column-4">10.0</td>
</tr>
<tr class="row-8">
	<td class="column-1">7</td><td class="column-2">IShowSpeed</td><td class="column-3">30</td><td class="column-4">184.0</td>
</tr>
<tr class="row-9">
	<td class="column-1">8</td><td class="column-2">Mark Rober</td><td class="column-3">30</td><td class="column-4">90.7</td>
</tr>
<tr class="row-10">
	<td class="column-1">9</td><td class="column-2">Ms. Rachel</td><td class="column-3">26</td><td class="column-4">34.2</td>
</tr>
<tr class="row-11">
	<td class="column-1">10</td><td class="column-2">Jesser</td><td class="column-3">25</td><td class="column-4">54.9</td>
</tr>
<tr class="row-12">
	<td class="column-1">11</td><td class="column-2">MrBallen</td><td class="column-3">24</td><td class="column-4">31.4</td>
</tr>
<tr class="row-13">
	<td class="column-1">12</td><td class="column-2">Druski</td><td class="column-3">20</td><td class="column-4">38.5</td>
</tr>
<tr class="row-14">
	<td class="column-1">13</td><td class="column-2">Charli D'Amelio</td><td class="column-3">18</td><td class="column-4">209.8</td>
</tr>
<tr class="row-15">
	<td class="column-1">14</td><td class="column-2">Jacksepticeye</td><td class="column-3">18</td><td class="column-4">48.9</td>
</tr>
<tr class="row-16">
	<td class="column-1">15</td><td class="column-2">Adam W</td><td class="column-3">17.3</td><td class="column-4">67.2</td>
</tr>
<tr class="row-17">
	<td class="column-1">16</td><td class="column-2">Rebecca Zamolo</td><td class="column-3">15</td><td class="column-4">45.3</td>
</tr>
<tr class="row-18">
	<td class="column-1">17</td><td class="column-2">Jake Shane</td><td class="column-3">14</td><td class="column-4">6.0</td>
</tr>
<tr class="row-19">
	<td class="column-1">18</td><td class="column-2">Nick DiGiovanni</td><td class="column-3">14</td><td class="column-4">65.4</td>
</tr>
<tr class="row-20">
	<td class="column-1">19</td><td class="column-2">Brent Rivera</td><td class="column-3">13.7</td><td class="column-4">120.8</td>
</tr>
<tr class="row-21">
	<td class="column-1">20</td><td class="column-2">Typical Gamer</td><td class="column-3">13</td><td class="column-4">31.6</td>
</tr>
<tr class="row-22">
	<td class="column-1">21</td><td class="column-2">Stokes Twins</td><td class="column-3">12.4</td><td class="column-4">177.5</td>
</tr>
<tr class="row-23">
	<td class="column-1">22</td><td class="column-2">Jordan The Stallion</td><td class="column-3">12.4</td><td class="column-4">49.1</td>
</tr>
<tr class="row-24">
	<td class="column-1">23</td><td class="column-2">Alix Earle</td><td class="column-3">12</td><td class="column-4">14.5</td>
</tr>
<tr class="row-25">
	<td class="column-1">24</td><td class="column-2">Marques Brownlee</td><td class="column-3">10.9</td><td class="column-4">33.6</td>
</tr>
<tr class="row-26">
	<td class="column-1">25</td><td class="column-2">Alan Chikin Chow</td><td class="column-3">10.5</td><td class="column-4">131.4</td>
</tr>
<tr class="row-27">
	<td class="column-1">26</td><td class="column-2">Ashton Hall</td><td class="column-3">10</td><td class="column-4">38.1</td>
</tr>
<tr class="row-28">
	<td class="column-1">27</td><td class="column-2">Khaby Lame</td><td class="column-3">9.9</td><td class="column-4">252.1</td>
</tr>
<tr class="row-29">
	<td class="column-1">28</td><td class="column-2">James Dumoulin</td><td class="column-3">9.9</td><td class="column-4">23.2</td>
</tr>
<tr class="row-30">
	<td class="column-1">29</td><td class="column-2">Haley Baylee</td><td class="column-3">9.6</td><td class="column-4">37.4</td>
</tr>
<tr class="row-31">
	<td class="column-1">30</td><td class="column-2">Mikayla Nogueira</td><td class="column-3">9</td><td class="column-4">21.8</td>
</tr>
<tr class="row-32">
	<td class="column-1">31</td><td class="column-2">Vivian Tu</td><td class="column-3">8.2</td><td class="column-4">10.7</td>
</tr>
<tr class="row-33">
	<td class="column-1">32</td><td class="column-2">Dani Austin</td><td class="column-3">8.1</td><td class="column-4">3.8</td>
</tr>
<tr class="row-34">
	<td class="column-1">33</td><td class="column-2">Tana Mongeau</td><td class="column-3">8</td><td class="column-4">22.8</td>
</tr>
<tr class="row-35">
	<td class="column-1">34</td><td class="column-2">Nara Smith</td><td class="column-3">7.5</td><td class="column-4">17.3</td>
</tr>
<tr class="row-36">
	<td class="column-1">35</td><td class="column-2">Nurse John</td><td class="column-3">7.2</td><td class="column-4">19.2</td>
</tr>
<tr class="row-37">
	<td class="column-1">36</td><td class="column-2">Leah Kateb</td><td class="column-3">7.1</td><td class="column-4">11.4</td>
</tr>
<tr class="row-38">
	<td class="column-1">37</td><td class="column-2">Dixie D'Amelio</td><td class="column-3">7</td><td class="column-4">72.9</td>
</tr>
<tr class="row-39">
	<td class="column-1">38</td><td class="column-2">Erika Kullberg</td><td class="column-3">6.8</td><td class="column-4">21.0</td>
</tr>
<tr class="row-40">
	<td class="column-1">39</td><td class="column-2">Lexi Rivera</td><td class="column-3">6.7</td><td class="column-4">56.3</td>
</tr>
<tr class="row-41">
	<td class="column-1">40</td><td class="column-2">Josh Richards</td><td class="column-3">6</td><td class="column-4">34.7</td>
</tr>
<tr class="row-42">
	<td class="column-1">41</td><td class="column-2">Hannah Stocking</td><td class="column-3">5.8</td><td class="column-4">74.4</td>
</tr>
<tr class="row-43">
	<td class="column-1">42</td><td class="column-2">Katie Fang</td><td class="column-3">5.4</td><td class="column-4">8.2</td>
</tr>
<tr class="row-44">
	<td class="column-1">43</td><td class="column-2">Brooke Monk</td><td class="column-3">5.2</td><td class="column-4">72.2</td>
</tr>
<tr class="row-45">
	<td class="column-1">44</td><td class="column-2">Anwar Jibawi</td><td class="column-3">5</td><td class="column-4">83.9</td>
</tr>
<tr class="row-46">
	<td class="column-1">45</td><td class="column-2">Anna Sitar</td><td class="column-3">4.4</td><td class="column-4">27.7</td>
</tr>
<tr class="row-47">
	<td class="column-1">46</td><td class="column-2">iJustine</td><td class="column-3">3.4</td><td class="column-4">12.9</td>
</tr>
<tr class="row-48">
	<td class="column-1">47</td><td class="column-2">Tini Younger</td><td class="column-3">3</td><td class="column-4">16.3</td>
</tr>
<tr class="row-49">
	<td class="column-1">48</td><td class="column-2">Drew Afualo</td><td class="column-3">2.7</td><td class="column-4">13.4</td>
</tr>
<tr class="row-50">
	<td class="column-1">49</td><td class="column-2">Steven He</td><td class="column-3">2</td><td class="column-4">29.6</td>
</tr>
<tr class="row-51">
	<td class="column-1">50</td><td class="column-2">Logan Moffitt</td><td class="column-3">1.3</td><td class="column-4">10.6</td>
</tr>
</tbody>
</table>
<!-- #tablepress-7690 from cache -->
<p>The ranking reveals a winner-take-most creator economy. MrBeast sits in a league of his own, while the gap between the remaining top creators is much narrower.</p>
<h2>MrBeast&#8217;s Empire Continues to Expand</h2>
<p>Jimmy Donaldson, better known as MrBeast, earned <strong>$300 million</strong> over the year measured. His income is roughly 4.6 times higher than second-place creator Dhar Mann and accounts for nearly 30% of the combined earnings of the entire Top 50.</p>
<p>Much of that success comes from building businesses beyond YouTube itself. Beast Industries now spans viral entertainment, consumer products, food brands, and large-scale productions, transforming what began as a YouTube channel into a diversified media company.</p>
<h2>YouTube Still Leads the Creator Economy</h2>
<p>Although today&#8217;s biggest personalities publish across multiple platforms, YouTube remains the foundation for many of the highest earners. Long-form video provides opportunities to build loyal audiences that can later support podcasts, merchandise, subscription businesses, consumer brands, and licensing deals.</p>
<p>TikTok, however, continues to close the gap. Creators like Charli D&#8217;Amelio, Khaby Lame, Alix Earle, Jordan The Stallion, and Alan Chikin Chow have expanded beyond viral videos into beauty brands, television projects, live events, licensing deals, and major advertising campaigns. </p>
<p>The result is an industry where creators increasingly resemble modern media companies rather than individual influencers.</p>
<h2>Why Brands Are Investing More in Creators</h2>
<p>Consumers, particularly younger audiences, increasingly discover products and entertainment through creators rather than traditional advertising <a href="https://www.usethenews.de/en/news/new-study-what-makes-influencers-so-successful-among-young-people">Audiences view</a> creators as more authentic and relatable than celebrities, making recommendations feel more trustworthy and personal. At the same time, brands gain measurable engagement and direct access to highly targeted communities.</p>
<p>Today&#8217;s most successful creators are also entrepreneurs. Instead of relying solely on ad revenue, many operate portfolios that include consumer brands, podcasts, books, subscription communities, live tours, licensing deals, and production studios. That diversification has made creator-led businesses <a href="https://www.economist.com/business/2024/10/29/too-many-people-want-to-be-social-media-influencers?utm_medium=cpc.adword.pd&amp;utm_source=google&amp;ppccampaignID=18798097116&amp;ppcadID=&amp;utm_campaign=a.22brand_pmax&amp;utm_content=conversion.direct-response.anonymous&amp;gclsrc=aw.ds&amp;gad_source=1&amp;gad_campaignid=18804755252&amp;gbraid=0AAAAADBuq3LqVuz71jEuYl3xLgm9NEo6i&amp;gclid=CjwKCAjwu53SBhAhEiwAJzSLNuVWowoOLy7ODXuo_F_Toj8UfQHgt4zYATFuT_7nj4QGoWGGGX8jvBoCSVkQAvD_BwE">increasingly attractive</a> to advertisers and investors alike.</p>
<p>As audiences spend more time with creator-led content, individual personalities are evolving into full-scale media businesses. Rather than depending on a single platform, many now generate revenue across commerce, entertainment, live events, and licensing, blurring the line between influencer, entrepreneur, and traditional media company.</p>
<h2>Learn More on the Voronoi App <img decoding="async" style="vertical-align: middle;" src="https://www.visualcapitalist.com/wp-content/uploads/2023/12/voronoi-icon-transparent.png" width="40px" /></h2>
<p>Want to explore more charts on entertainment, music, and pop culture? Check out <a href="https://www.voronoiapp.com/pop-culture/Ranked-Spotifys-Most-Streamed-Albums-Ever-8316" target="_blank" rel="noopener">Ranked: Spotify&#8217;s Most Streamed Albums Ever</a> on the Voronoi app, where you can discover thousands of data-driven visualizations from trusted sources around the world.</p>
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		<title>Mapped: America&#8217;s Favorite Dog Breed, By State</title>
		<link>https://www.visualcapitalist.com/mapped-favorite-dog-breed-by-u-s-state/</link>
		
		<dc:creator><![CDATA[Dorothy Neufeld]]></dc:creator>
		<pubDate>Sun, 05 Jul 2026 14:15:12 +0000</pubDate>
				<category><![CDATA[Maps]]></category>
		<category><![CDATA[Misc]]></category>
		<category><![CDATA[dogs]]></category>
		<category><![CDATA[lifestyle]]></category>
		<category><![CDATA[pets]]></category>
		<category><![CDATA[maps]]></category>
		<category><![CDATA[united states]]></category>
		<guid isPermaLink="false">https://www.visualcapitalist.com/?p=201907</guid>

					<description><![CDATA[From Labradors to Chihuahuas, see the most popular dog breed in every U.S. state based on 1.2 million insurance records.]]></description>
										<content:encoded><![CDATA[<div class="rss-image"><p><a class="licensing-button" href="https://licensing.visualcapitalist.com/product/mapped-favorite-dog-breed-by-u-s-state/" target="_blank">Use This Visualization</a></p>
</div><h2>Mapped: America&#8217;s Favorite Dog Breed, By State</h2>
<p><em>See visuals like this from many other data creators on our <a href="https://www.voronoiapp.com/" target="_blank" rel="noopener">Voronoi app</a>. Download it for free on <a href="https://apps.apple.com/ca/app/voronoi-app/id6447905904" target="_blank" rel="noopener">iOS</a> or <a href="https://play.google.com/store/apps/details?id=com.voronoi.organization.app&amp;pli=1" target="_blank" rel="noopener">Android</a> and discover incredible data-driven charts from a variety of trusted sources.</em></p>
<div class="key-takeaways">
<h3>Key Takeaways</h3>
<ul>
<li>Labrador Retrievers are the top breed in 16 states, but no breed comes close to dominating nationwide.</li>
<li>Eight different breeds rank first across the U.S., revealing surprisingly regional preferences.</li>
<li>Chihuahuas lead much of the Southwest, while Labrador Retrievers are strongest across the Northeast.</li>
</ul>
</div>
<p>Americans own more than 56 million dogs, but there&#8217;s no single breed that dominates the country. Instead, favorite breeds change dramatically from one state to the next.</p>
<p>Using an analysis of more than 1.2 million dog insurance records collected between 2022 and 2025 by <a href="https://www.usnews.com/insurance/pet-insurance/most-popular-dog-breeds-study" target="_blank">U.S. News &amp; World Report</a>, this map reveals the most popular dog breed in every state.</p>
<h2>The Most Popular Dog Breed in Every State</h2>
<p>The table below shows each state&#8217;s favorite dog breed.
<table id="tablepress-7689" class="tablepress tablepress-id-7689">
<thead>
<tr class="row-1">
	<th class="column-1">State</th><th class="column-2">Most Popular Dog Breed</th>
</tr>
</thead>
<tbody class="row-striping row-hover">
<tr class="row-2">
	<td class="column-1">Alabama</td><td class="column-2">Chihuahua</td>
</tr>
<tr class="row-3">
	<td class="column-1">Alaska</td><td class="column-2">German Shepherd</td>
</tr>
<tr class="row-4">
	<td class="column-1">Arizona</td><td class="column-2">Chihuahua</td>
</tr>
<tr class="row-5">
	<td class="column-1">Arkansas</td><td class="column-2">Chihuahua</td>
</tr>
<tr class="row-6">
	<td class="column-1">California</td><td class="column-2">French Bulldog</td>
</tr>
<tr class="row-7">
	<td class="column-1">Colorado</td><td class="column-2">Golden Retriever</td>
</tr>
<tr class="row-8">
	<td class="column-1">Connecticut</td><td class="column-2">Labrador Retriever</td>
</tr>
<tr class="row-9">
	<td class="column-1">Delaware</td><td class="column-2">Labrador Retriever</td>
</tr>
<tr class="row-10">
	<td class="column-1">Florida</td><td class="column-2">French Bulldog</td>
</tr>
<tr class="row-11">
	<td class="column-1">Georgia</td><td class="column-2">American Pit Bull Terrier</td>
</tr>
<tr class="row-12">
	<td class="column-1">Hawaii</td><td class="column-2">Chihuahua</td>
</tr>
<tr class="row-13">
	<td class="column-1">Idaho</td><td class="column-2">Labrador Retriever</td>
</tr>
<tr class="row-14">
	<td class="column-1">Illinois</td><td class="column-2">German Shepherd</td>
</tr>
<tr class="row-15">
	<td class="column-1">Indiana</td><td class="column-2">German Shepherd</td>
</tr>
<tr class="row-16">
	<td class="column-1">Iowa</td><td class="column-2">Labrador Retriever</td>
</tr>
<tr class="row-17">
	<td class="column-1">Kansas</td><td class="column-2">Chihuahua</td>
</tr>
<tr class="row-18">
	<td class="column-1">Kentucky</td><td class="column-2">Chihuahua</td>
</tr>
<tr class="row-19">
	<td class="column-1">Louisiana</td><td class="column-2">American Pit Bull Terrier</td>
</tr>
<tr class="row-20">
	<td class="column-1">Maine</td><td class="column-2">Labrador Retriever</td>
</tr>
<tr class="row-21">
	<td class="column-1">Maryland</td><td class="column-2">Labrador Retriever</td>
</tr>
<tr class="row-22">
	<td class="column-1">Massachusetts</td><td class="column-2">Labrador Retriever</td>
</tr>
<tr class="row-23">
	<td class="column-1">Michigan</td><td class="column-2">American Pit Bull Terrier</td>
</tr>
<tr class="row-24">
	<td class="column-1">Minnesota</td><td class="column-2">Golden Retriever</td>
</tr>
<tr class="row-25">
	<td class="column-1">Mississippi</td><td class="column-2">Chihuahua</td>
</tr>
<tr class="row-26">
	<td class="column-1">Missouri</td><td class="column-2">American Pit Bull Terrier</td>
</tr>
<tr class="row-27">
	<td class="column-1">Montana</td><td class="column-2">Golden Retriever</td>
</tr>
<tr class="row-28">
	<td class="column-1">Nebraska</td><td class="column-2">Labrador Retriever</td>
</tr>
<tr class="row-29">
	<td class="column-1">Nevada</td><td class="column-2">Chihuahua</td>
</tr>
<tr class="row-30">
	<td class="column-1">New Hampshire</td><td class="column-2">Labrador Retriever</td>
</tr>
<tr class="row-31">
	<td class="column-1">New Jersey</td><td class="column-2">Shih Tzu</td>
</tr>
<tr class="row-32">
	<td class="column-1">New Mexico</td><td class="column-2">Chihuahua</td>
</tr>
<tr class="row-33">
	<td class="column-1">New York</td><td class="column-2">Yorkshire Terrier</td>
</tr>
<tr class="row-34">
	<td class="column-1">North Carolina</td><td class="column-2">American Pit Bull Terrier</td>
</tr>
<tr class="row-35">
	<td class="column-1">North Dakota</td><td class="column-2">Golden Retriever</td>
</tr>
<tr class="row-36">
	<td class="column-1">Ohio</td><td class="column-2">American Pit Bull Terrier</td>
</tr>
<tr class="row-37">
	<td class="column-1">Oklahoma</td><td class="column-2">Chihuahua</td>
</tr>
<tr class="row-38">
	<td class="column-1">Oregon</td><td class="column-2">Chihuahua</td>
</tr>
<tr class="row-39">
	<td class="column-1">Pennsylvania</td><td class="column-2">Labrador Retriever</td>
</tr>
<tr class="row-40">
	<td class="column-1">Rhode Island</td><td class="column-2">Chihuahua</td>
</tr>
<tr class="row-41">
	<td class="column-1">South Carolina</td><td class="column-2">Labrador Retriever</td>
</tr>
<tr class="row-42">
	<td class="column-1">South Dakota</td><td class="column-2">Labrador Retriever</td>
</tr>
<tr class="row-43">
	<td class="column-1">Tennessee</td><td class="column-2">American Pit Bull Terrier</td>
</tr>
<tr class="row-44">
	<td class="column-1">Texas</td><td class="column-2">Chihuahua</td>
</tr>
<tr class="row-45">
	<td class="column-1">Utah</td><td class="column-2">Labrador Retriever</td>
</tr>
<tr class="row-46">
	<td class="column-1">Vermont</td><td class="column-2">Golden Retriever</td>
</tr>
<tr class="row-47">
	<td class="column-1">Virginia</td><td class="column-2">Labrador Retriever</td>
</tr>
<tr class="row-48">
	<td class="column-1">Washington</td><td class="column-2">Labrador Retriever</td>
</tr>
<tr class="row-49">
	<td class="column-1">West Virginia</td><td class="column-2">Chihuahua</td>
</tr>
<tr class="row-50">
	<td class="column-1">Wisconsin</td><td class="column-2">Labrador Retriever</td>
</tr>
<tr class="row-51">
	<td class="column-1">Wyoming</td><td class="column-2">German Shepherd</td>
</tr>
</tbody>
</table>
<!-- #tablepress-7689 from cache --></p>
<h2>No Breed Dominates America</h2>
<p>Labrador Retrievers rank first in 16 states, more than any other breed, but they still lead in fewer than one-third of states.</p>
<p>Chihuahuas follow closely with 14 states, while six other breeds claim the top spot elsewhere. Altogether, eight different breeds finish first somewhere in America, showing there&#8217;s no single nationwide favorite.</p>
<h2>Regional Preferences Emerge</h2>
<p>The map reveals several clear geographic patterns.</p>
<p>Labrador Retrievers are especially popular across much of the Northeast, Chihuahuas dominate the Southwest, and American Pit Bull Terriers lead in several Southern states.</p>
<p>These clusters suggest that local lifestyles, housing, and long-standing breed popularity continue to influence which dogs Americans bring home.</p>
<p>America&#8217;s love of dogs may be universal, but its favorite breeds <a href="https://www.visualcapitalist.com/american-pet-ownership-in-2024/" target="_blank">to own</a> are anything but. From French Bulldogs in California to Yorkshire Terriers in New York, the map highlights how regional tastes shape the dogs people choose across the country.</p>
<h2>Learn More on the Voronoi App <img decoding="async" style="vertical-align: middle;" src="https://www.visualcapitalist.com/wp-content/uploads/2023/12/voronoi-icon-transparent.png" width="40px" /></h2>
<p>To learn more about this topic, check out this <a href="https://www.voronoiapp.com/other/The-Most-Popular-Dog-Breeds-in-the-US-3883" target="_blank">graphic</a> on favorite dog breeds in the U.S. from a more national perspective.</p>
]]></content:encoded>
					
		
		
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		<title>Mapped: Only 36 Countries Are Still Majority Rural</title>
		<link>https://www.visualcapitalist.com/which-countries-have-a-majority-rural-population/</link>
		
		<dc:creator><![CDATA[Nick Routley]]></dc:creator>
		<pubDate>Sun, 05 Jul 2026 12:02:37 +0000</pubDate>
				<category><![CDATA[Maps]]></category>
		<category><![CDATA[Demographics]]></category>
		<category><![CDATA[countryside]]></category>
		<category><![CDATA[agrarian]]></category>
		<category><![CDATA[rural]]></category>
		<category><![CDATA[urbanization]]></category>
		<guid isPermaLink="false">https://www.visualcapitalist.com/?p=201902</guid>

					<description><![CDATA[Most of the world is now urban—but 36 countries still have majority rural populations. See where they are on the map.]]></description>
										<content:encoded><![CDATA[<div class="rss-image"><p><a class="licensing-button" href="https://licensing.visualcapitalist.com/product/which-countries-have-a-majority-rural-population/" target="_blank">Use This Visualization</a></p>
</div><h2>Mapped: Only 36 Countries Are Still Majority Rural</h2>
<div class="key-takeaways">
<h3>Key Takeaways:</h3>
<ul>
<li>Only 36 countries still have more than half of their population living in rural areas.</li>
<li>Nearly two-thirds of these countries are in Sub-Saharan Africa.</li>
<li>The global rural population share has fallen from roughly two-thirds in 1960 to about 43% today.</li>
</ul>
</div>
<p>Today, most people live in cities, but that wasn&#8217;t always the case. Decades of industrialization and economic development have steadily shifted populations toward urban centers, making majority-rural countries increasingly uncommon.</p>
<p>The map above highlights the 36 countries where more than half of the population still lives in rural areas, using the latest available <a href="https://data.worldbank.org/indicator/SP.RUR.TOTL.ZS" target="_blank" rel="noopener">World Bank</a> data. While most are concentrated in Sub-Saharan Africa, a handful remain across South Asia, Southeast Asia, Oceania, and the Caribbean.</p>
<h2>The Most Rural Populations</h2>
<p>Below, we show all countries sorted by rural population share:</p>

<table id="tablepress-7688" class="tablepress tablepress-id-7688">
<thead>
<tr class="row-1">
	<th class="column-1">Rank</th><th class="column-2">Countries</th><th class="column-3">Rural population (%, 2024)</th>
</tr>
</thead>
<tbody class="row-striping row-hover">
<tr class="row-2">
	<td class="column-1">1</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f5-1f1ec.png" alt="🇵🇬" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Papua New Guinea</td><td class="column-3">86.12</td>
</tr>
<tr class="row-3">
	<td class="column-1">2</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f1-1f1ee.png" alt="🇱🇮" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Liechtenstein</td><td class="column-3">85.29</td>
</tr>
<tr class="row-4">
	<td class="column-1">3</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e7-1f1ee.png" alt="🇧🇮" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Burundi</td><td class="column-3">84.84</td>
</tr>
<tr class="row-5">
	<td class="column-1">4</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f3-1f1ea.png" alt="🇳🇪" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Niger</td><td class="column-3">82.77</td>
</tr>
<tr class="row-6">
	<td class="column-1">5</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1fc-1f1f8.png" alt="🇼🇸" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Samoa</td><td class="column-3">82.58</td>
</tr>
<tr class="row-7">
	<td class="column-1">6</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f7-1f1fc.png" alt="🇷🇼" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Rwanda</td><td class="column-3">81.92</td>
</tr>
<tr class="row-8">
	<td class="column-1">7</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f2-1f1fc.png" alt="🇲🇼" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Malawi</td><td class="column-3">81.40</td>
</tr>
<tr class="row-9">
	<td class="column-1">8</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f1-1f1e8.png" alt="🇱🇨" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Saint Lucia</td><td class="column-3">80.69</td>
</tr>
<tr class="row-10">
	<td class="column-1">9</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f1-1f1f0.png" alt="🇱🇰" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Sri Lanka</td><td class="column-3">80.58</td>
</tr>
<tr class="row-11">
	<td class="column-1">10</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f3-1f1f5.png" alt="🇳🇵" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Nepal</td><td class="column-3">77.63</td>
</tr>
<tr class="row-12">
	<td class="column-1">11</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f9-1f1f4.png" alt="🇹🇴" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Tonga</td><td class="column-3">76.79</td>
</tr>
<tr class="row-13">
	<td class="column-1">12</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1eb-1f1f2.png" alt="🇫🇲" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Micronesia</td><td class="column-3">76.44</td>
</tr>
<tr class="row-14">
	<td class="column-1">13</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ea-1f1f9.png" alt="🇪🇹" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Ethiopia</td><td class="column-3">76.34</td>
</tr>
<tr class="row-15">
	<td class="column-1">14</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f9-1f1e9.png" alt="🇹🇩" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Chad</td><td class="column-3">75.31</td>
</tr>
<tr class="row-16">
	<td class="column-1">15</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f8-1f1ff.png" alt="🇸🇿" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Swaziland</td><td class="column-3">74.99</td>
</tr>
<tr class="row-17">
	<td class="column-1">16</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f0-1f1ed.png" alt="🇰🇭" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Cambodia</td><td class="column-3">73.96</td>
</tr>
<tr class="row-18">
	<td class="column-1">17</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1fb-1f1fa.png" alt="🇻🇺" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Vanuatu</td><td class="column-3">73.85</td>
</tr>
<tr class="row-19">
	<td class="column-1">18</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f8-1f1e7.png" alt="🇸🇧" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Solomon Islands</td><td class="column-3">73.51</td>
</tr>
<tr class="row-20">
	<td class="column-1">19</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e6-1f1eb.png" alt="🇦🇫" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Afghanistan</td><td class="column-3">72.74</td>
</tr>
<tr class="row-21">
	<td class="column-1">20</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ec-1f1fe.png" alt="🇬🇾" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Guyana</td><td class="column-3">72.68</td>
</tr>
<tr class="row-22">
	<td class="column-1">21</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1fa-1f1ec.png" alt="🇺🇬" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Uganda</td><td class="column-3">72.61</td>
</tr>
<tr class="row-23">
	<td class="column-1">22</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f9-1f1ef.png" alt="🇹🇯" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Tajikistan</td><td class="column-3">71.48</td>
</tr>
<tr class="row-24">
	<td class="column-1">23</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f0-1f1ea.png" alt="🇰🇪" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Kenya</td><td class="column-3">69.95</td>
</tr>
<tr class="row-25">
	<td class="column-1">24</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f0-1f1f2.png" alt="🇰🇲" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Comoros</td><td class="column-3">69.58</td>
</tr>
<tr class="row-26">
	<td class="column-1">25</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f1-1f1f8.png" alt="🇱🇸" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Lesotho</td><td class="column-3">69.10</td>
</tr>
<tr class="row-27">
	<td class="column-1">26</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e7-1f1e7.png" alt="🇧🇧" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Barbados</td><td class="column-3">68.45</td>
</tr>
<tr class="row-28">
	<td class="column-1">27</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f2-1f1f2.png" alt="🇲🇲" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Burma</td><td class="column-3">67.53</td>
</tr>
<tr class="row-29">
	<td class="column-1">28</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ff-1f1fc.png" alt="🇿🇼" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Zimbabwe</td><td class="column-3">67.33</td>
</tr>
<tr class="row-30">
	<td class="column-1">29</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e7-1f1eb.png" alt="🇧🇫" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Burkina Faso</td><td class="column-3">66.83</td>
</tr>
<tr class="row-31">
	<td class="column-1">30</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f8-1f1e9.png" alt="🇸🇩" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Sudan</td><td class="column-3">63.25</td>
</tr>
<tr class="row-32">
	<td class="column-1">31</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ee-1f1f3.png" alt="🇮🇳" class="wp-smiley" style="height: 1em; max-height: 1em;" /> India</td><td class="column-3">63.13</td>
</tr>
<tr class="row-33">
	<td class="column-1">32</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ec-1f1e9.png" alt="🇬🇩" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Grenada</td><td class="column-3">62.73</td>
</tr>
<tr class="row-34">
	<td class="column-1">33</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f9-1f1ff.png" alt="🇹🇿" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Tanzania</td><td class="column-3">61.86</td>
</tr>
<tr class="row-35">
	<td class="column-1">34</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f0-1f1ec.png" alt="🇰🇬" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Kyrgyzstan</td><td class="column-3">61.83</td>
</tr>
<tr class="row-36">
	<td class="column-1">35</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f5-1f1f0.png" alt="🇵🇰" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Pakistan</td><td class="column-3">61.63</td>
</tr>
<tr class="row-37">
	<td class="column-1">36</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ec-1f1f3.png" alt="🇬🇳" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Guinea</td><td class="column-3">61.48</td>
</tr>
<tr class="row-38">
	<td class="column-1">37</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f1-1f1e6.png" alt="🇱🇦" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Laos</td><td class="column-3">61.09</td>
</tr>
<tr class="row-39">
	<td class="column-1">38</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f2-1f1ff.png" alt="🇲🇿" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Mozambique</td><td class="column-3">60.67</td>
</tr>
<tr class="row-40">
	<td class="column-1">39</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1fb-1f1f3.png" alt="🇻🇳" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Vietnam</td><td class="column-3">59.81</td>
</tr>
<tr class="row-41">
	<td class="column-1">40</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1fe-1f1ea.png" alt="🇾🇪" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Yemen</td><td class="column-3">59.52</td>
</tr>
<tr class="row-42">
	<td class="column-1">41</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f2-1f1fa.png" alt="🇲🇺" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Mauritius</td><td class="column-3">59.06</td>
</tr>
<tr class="row-43">
	<td class="column-1">42</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e7-1f1e9.png" alt="🇧🇩" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Bangladesh</td><td class="column-3">58.77</td>
</tr>
<tr class="row-44">
	<td class="column-1">43</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f2-1f1ec.png" alt="🇲🇬" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Madagascar</td><td class="column-3">58.77</td>
</tr>
<tr class="row-45">
	<td class="column-1">44</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f2-1f1fb.png" alt="🇲🇻" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Maldives</td><td class="column-3">57.59</td>
</tr>
<tr class="row-46">
	<td class="column-1">45</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1eb-1f1f4.png" alt="🇫🇴" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Faroe Isl.</td><td class="column-3">56.79</td>
</tr>
<tr class="row-47">
	<td class="column-1">46</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ea-1f1ec.png" alt="🇪🇬" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Egypt</td><td class="column-3">56.74</td>
</tr>
<tr class="row-48">
	<td class="column-1">47</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f2-1f1e9.png" alt="🇲🇩" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Moldova</td><td class="column-3">56.40</td>
</tr>
<tr class="row-49">
	<td class="column-1">48</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ea-1f1f7.png" alt="🇪🇷" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Eritrea</td><td class="column-3">56.09</td>
</tr>
<tr class="row-50">
	<td class="column-1">49</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e8-1f1eb.png" alt="🇨🇫" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Central African Republic</td><td class="column-3">55.87</td>
</tr>
<tr class="row-51">
	<td class="column-1">50</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e6-1f1fc.png" alt="🇦🇼" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Aruba</td><td class="column-3">55.53</td>
</tr>
<tr class="row-52">
	<td class="column-1">51</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f8-1f1f1.png" alt="🇸🇱" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Sierra Leone</td><td class="column-3">55.22</td>
</tr>
<tr class="row-53">
	<td class="column-1">52</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e7-1f1f9.png" alt="🇧🇹" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Bhutan</td><td class="column-3">55.00</td>
</tr>
<tr class="row-54">
	<td class="column-1">53</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f9-1f1ec.png" alt="🇹🇬" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Togo</td><td class="column-3">54.94</td>
</tr>
<tr class="row-55">
	<td class="column-1">54</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ec-1f1fc.png" alt="🇬🇼" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Guinea-Bissau</td><td class="column-3">54.11</td>
</tr>
<tr class="row-56">
	<td class="column-1">55</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e7-1f1ff.png" alt="🇧🇿" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Belize</td><td class="column-3">53.16</td>
</tr>
<tr class="row-57">
	<td class="column-1">56</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ff-1f1f2.png" alt="🇿🇲" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Zambia</td><td class="column-3">53.09</td>
</tr>
<tr class="row-58">
	<td class="column-1">57</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f2-1f1f1.png" alt="🇲🇱" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Mali</td><td class="column-3">53.07</td>
</tr>
<tr class="row-59">
	<td class="column-1">58</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e8-1f1e9.png" alt="🇨🇩" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Democratic Republic of the Congo</td><td class="column-3">51.94</td>
</tr>
<tr class="row-60">
	<td class="column-1">59</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f8-1f1f4.png" alt="🇸🇴" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Somalia</td><td class="column-3">51.48</td>
</tr>
<tr class="row-61">
	<td class="column-1">60</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f5-1f1ed.png" alt="🇵🇭" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Philippines</td><td class="column-3">51.39</td>
</tr>
<tr class="row-62">
	<td class="column-1">61</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f8-1f1f3.png" alt="🇸🇳" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Senegal</td><td class="column-3">49.92</td>
</tr>
<tr class="row-63">
	<td class="column-1">62</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1fa-1f1ff.png" alt="🇺🇿" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Uzbekistan</td><td class="column-3">49.37</td>
</tr>
<tr class="row-64">
	<td class="column-1">63</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e7-1f1ef.png" alt="🇧🇯" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Benin</td><td class="column-3">49.33</td>
</tr>
<tr class="row-65">
	<td class="column-1">64</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e7-1f1e6.png" alt="🇧🇦" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Bosnia &amp; Herzegovina</td><td class="column-3">49.29</td>
</tr>
<tr class="row-66">
	<td class="column-1">65</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ec-1f1f9.png" alt="🇬🇹" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Guatemala</td><td class="column-3">46.46</td>
</tr>
<tr class="row-67">
	<td class="column-1">66</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f9-1f1f9.png" alt="🇹🇹" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Trinidad &amp; Tobago</td><td class="column-3">46.44</td>
</tr>
<tr class="row-68">
	<td class="column-1">67</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e8-1f1ee.png" alt="🇨🇮" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Ivory Coast</td><td class="column-3">46.36</td>
</tr>
<tr class="row-69">
	<td class="column-1">68</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f1-1f1f7.png" alt="🇱🇷" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Liberia</td><td class="column-3">45.92</td>
</tr>
<tr class="row-70">
	<td class="column-1">69</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f8-1f1f0.png" alt="🇸🇰" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Slovakia</td><td class="column-3">45.83</td>
</tr>
<tr class="row-71">
	<td class="column-1">70</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f9-1f1ed.png" alt="🇹🇭" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Thailand</td><td class="column-3">45.68</td>
</tr>
<tr class="row-72">
	<td class="column-1">71</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f9-1f1f2.png" alt="🇹🇲" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Turkmenistan</td><td class="column-3">45.48</td>
</tr>
<tr class="row-73">
	<td class="column-1">72</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1fb-1f1e8.png" alt="🇻🇨" class="wp-smiley" style="height: 1em; max-height: 1em;" /> St. Vincent &amp; the Grenadines</td><td class="column-3">45.28</td>
</tr>
<tr class="row-74">
	<td class="column-1">73</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f7-1f1f4.png" alt="🇷🇴" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Romania</td><td class="column-3">45.12</td>
</tr>
<tr class="row-75">
	<td class="column-1">74</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f3-1f1ec.png" alt="🇳🇬" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Nigeria</td><td class="column-3">44.97</td>
</tr>
<tr class="row-76">
	<td class="column-1">75</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f3-1f1e6.png" alt="🇳🇦" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Namibia</td><td class="column-3">44.21</td>
</tr>
<tr class="row-77">
	<td class="column-1">76</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f8-1f1ee.png" alt="🇸🇮" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Slovenia</td><td class="column-3">43.56</td>
</tr>
<tr class="row-78">
	<td class="column-1">77</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f7-1f1f8.png" alt="🇷🇸" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Serbia</td><td class="column-3">42.63</td>
</tr>
<tr class="row-79">
	<td class="column-1">78</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ef-1f1f2.png" alt="🇯🇲" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Jamaica</td><td class="column-3">42.24</td>
</tr>
<tr class="row-80">
	<td class="column-1">79</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e6-1f1ff.png" alt="🇦🇿" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Azerbaijan</td><td class="column-3">42.00</td>
</tr>
<tr class="row-81">
	<td class="column-1">80</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f8-1f1fe.png" alt="🇸🇾" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Syria</td><td class="column-3">41.96</td>
</tr>
<tr class="row-82">
	<td class="column-1">81</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f0-1f1ff.png" alt="🇰🇿" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Kazakhstan</td><td class="column-3">41.61</td>
</tr>
<tr class="row-83">
	<td class="column-1">82</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f0-1f1ee.png" alt="🇰🇮" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Kiribati</td><td class="column-3">41.55</td>
</tr>
<tr class="row-84">
	<td class="column-1">83</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f2-1f1f7.png" alt="🇲🇷" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Mauritania</td><td class="column-3">41.54</td>
</tr>
<tr class="row-85">
	<td class="column-1">84</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ed-1f1f7.png" alt="🇭🇷" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Croatia</td><td class="column-3">41.06</td>
</tr>
<tr class="row-86">
	<td class="column-1">85</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1eb-1f1ef.png" alt="🇫🇯" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Fiji</td><td class="column-3">40.81</td>
</tr>
<tr class="row-87">
	<td class="column-1">86</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ee-1f1e9.png" alt="🇮🇩" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Indonesia</td><td class="column-3">40.80</td>
</tr>
<tr class="row-88">
	<td class="column-1">87</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f8-1f1e8.png" alt="🇸🇨" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Seychelles</td><td class="column-3">40.76</td>
</tr>
<tr class="row-89">
	<td class="column-1">88</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e6-1f1f9.png" alt="🇦🇹" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Austria</td><td class="column-3">40.18</td>
</tr>
<tr class="row-90">
	<td class="column-1">89</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ec-1f1ed.png" alt="🇬🇭" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Ghana</td><td class="column-3">40.15</td>
</tr>
<tr class="row-91">
	<td class="column-1">90</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f2-1f1f0.png" alt="🇲🇰" class="wp-smiley" style="height: 1em; max-height: 1em;" /> North Macedonia</td><td class="column-3">40.13</td>
</tr>
<tr class="row-92">
	<td class="column-1">91</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e8-1f1f2.png" alt="🇨🇲" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Cameroon</td><td class="column-3">40.11</td>
</tr>
<tr class="row-93">
	<td class="column-1">92</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f3-1f1ee.png" alt="🇳🇮" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Nicaragua</td><td class="column-3">39.85</td>
</tr>
<tr class="row-94">
	<td class="column-1">93</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f5-1f1f1.png" alt="🇵🇱" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Poland</td><td class="column-3">39.67</td>
</tr>
<tr class="row-95">
	<td class="column-1">94</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ed-1f1f9.png" alt="🇭🇹" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Haiti</td><td class="column-3">39.53</td>
</tr>
<tr class="row-96">
	<td class="column-1">95</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ed-1f1f3.png" alt="🇭🇳" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Honduras</td><td class="column-3">39.18</td>
</tr>
<tr class="row-97">
	<td class="column-1">96</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ec-1f1ea.png" alt="🇬🇪" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Georgia</td><td class="column-3">38.84</td>
</tr>
<tr class="row-98">
	<td class="column-1">97</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f5-1f1fe.png" alt="🇵🇾" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Paraguay</td><td class="column-3">36.51</td>
</tr>
<tr class="row-99">
	<td class="column-1">98</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f0-1f1f5.png" alt="🇰🇵" class="wp-smiley" style="height: 1em; max-height: 1em;" /> North Korea</td><td class="column-3">36.50</td>
</tr>
<tr class="row-100">
	<td class="column-1">99</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e6-1f1f2.png" alt="🇦🇲" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Armenia</td><td class="column-3">36.07</td>
</tr>
<tr class="row-101">
	<td class="column-1">100</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ee-1f1ea.png" alt="🇮🇪" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Ireland</td><td class="column-3">35.24</td>
</tr>
<tr class="row-102">
	<td class="column-1">101</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ea-1f1e8.png" alt="🇪🇨" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Ecuador</td><td class="column-3">34.97</td>
</tr>
<tr class="row-103">
	<td class="column-1">102</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ec-1f1f2.png" alt="🇬🇲" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Gambia</td><td class="column-3">34.92</td>
</tr>
<tr class="row-104">
	<td class="column-1">103</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e6-1f1f1.png" alt="🇦🇱" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Albania</td><td class="column-3">34.62</td>
</tr>
<tr class="row-105">
	<td class="column-1">104</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e8-1f1f3.png" alt="🇨🇳" class="wp-smiley" style="height: 1em; max-height: 1em;" /> China</td><td class="column-3">34.46</td>
</tr>
<tr class="row-106">
	<td class="column-1">105</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f2-1f1e6.png" alt="🇲🇦" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Morocco</td><td class="column-3">34.36</td>
</tr>
<tr class="row-107">
	<td class="column-1">106</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f8-1f1f7.png" alt="🇸🇷" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Suriname</td><td class="column-3">33.47</td>
</tr>
<tr class="row-108">
	<td class="column-1">107</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f9-1f1fb.png" alt="🇹🇻" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Tuvalu</td><td class="column-3">33.07</td>
</tr>
<tr class="row-109">
	<td class="column-1">108</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e8-1f1fe.png" alt="🇨🇾" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Cyprus</td><td class="column-3">32.92</td>
</tr>
<tr class="row-110">
	<td class="column-1">109</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e8-1f1fb.png" alt="🇨🇻" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Cape Verde</td><td class="column-3">31.59</td>
</tr>
<tr class="row-111">
	<td class="column-1">110</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f5-1f1f9.png" alt="🇵🇹" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Portugal</td><td class="column-3">31.58</td>
</tr>
<tr class="row-112">
	<td class="column-1">111</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f1-1f1fb.png" alt="🇱🇻" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Latvia</td><td class="column-3">31.18</td>
</tr>
<tr class="row-113">
	<td class="column-1">112</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f2-1f1ea.png" alt="🇲🇪" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Montenegro</td><td class="column-3">31.16</td>
</tr>
<tr class="row-114">
	<td class="column-1">113</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f1-1f1f9.png" alt="🇱🇹" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Lithuania</td><td class="column-3">31.06</td>
</tr>
<tr class="row-115">
	<td class="column-1">114</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f2-1f1f3.png" alt="🇲🇳" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Mongolia</td><td class="column-3">30.74</td>
</tr>
<tr class="row-116">
	<td class="column-1">115</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e6-1f1f4.png" alt="🇦🇴" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Angola</td><td class="column-3">30.72</td>
</tr>
<tr class="row-117">
	<td class="column-1">116</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ff-1f1e6.png" alt="🇿🇦" class="wp-smiley" style="height: 1em; max-height: 1em;" /> South Africa</td><td class="column-3">30.70</td>
</tr>
<tr class="row-118">
	<td class="column-1">117</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e8-1f1ec.png" alt="🇨🇬" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Republic of Congo</td><td class="column-3">30.36</td>
</tr>
<tr class="row-119">
	<td class="column-1">118</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f5-1f1e6.png" alt="🇵🇦" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Panama</td><td class="column-3">30.11</td>
</tr>
<tr class="row-120">
	<td class="column-1">119</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ea-1f1ea.png" alt="🇪🇪" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Estonia</td><td class="column-3">29.98</td>
</tr>
<tr class="row-121">
	<td class="column-1">120</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1fa-1f1e6.png" alt="🇺🇦" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Ukraine</td><td class="column-3">29.72</td>
</tr>
<tr class="row-122">
	<td class="column-1">121</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f9-1f1f3.png" alt="🇹🇳" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Tunisia</td><td class="column-3">29.12</td>
</tr>
<tr class="row-123">
	<td class="column-1">122</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e7-1f1f4.png" alt="🇧🇴" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Bolivia</td><td class="column-3">28.45</td>
</tr>
<tr class="row-124">
	<td class="column-1">123</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ee-1f1f6.png" alt="🇮🇶" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Iraq</td><td class="column-3">28.15</td>
</tr>
<tr class="row-125">
	<td class="column-1">124</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ee-1f1f9.png" alt="🇮🇹" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Italy</td><td class="column-3">27.71</td>
</tr>
<tr class="row-126">
	<td class="column-1">125</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e9-1f1f2.png" alt="🇩🇲" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Dominica</td><td class="column-3">27.69</td>
</tr>
<tr class="row-127">
	<td class="column-1">126</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f3-1f1e8.png" alt="🇳🇨" class="wp-smiley" style="height: 1em; max-height: 1em;" /> New Caledonia</td><td class="column-3">26.89</td>
</tr>
<tr class="row-128">
	<td class="column-1">127</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ed-1f1fa.png" alt="🇭🇺" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Hungary</td><td class="column-3">26.82</td>
</tr>
<tr class="row-129">
	<td class="column-1">128</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e7-1f1fc.png" alt="🇧🇼" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Botswana</td><td class="column-3">26.51</td>
</tr>
<tr class="row-130">
	<td class="column-1">129</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e8-1f1ed.png" alt="🇨🇭" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Switzerland</td><td class="column-3">25.67</td>
</tr>
<tr class="row-131">
	<td class="column-1">130</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e8-1f1ff.png" alt="🇨🇿" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Czechia</td><td class="column-3">25.26</td>
</tr>
<tr class="row-132">
	<td class="column-1">131</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ec-1f1f6.png" alt="🇬🇶" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Equitorial Guinea</td><td class="column-3">25.13</td>
</tr>
<tr class="row-133">
	<td class="column-1">132</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f7-1f1fa.png" alt="🇷🇺" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Russia</td><td class="column-3">24.45</td>
</tr>
<tr class="row-134">
	<td class="column-1">133</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e9-1f1ff.png" alt="🇩🇿" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Algeria</td><td class="column-3">24.25</td>
</tr>
<tr class="row-135">
	<td class="column-1">134</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f8-1f1fb.png" alt="🇸🇻" class="wp-smiley" style="height: 1em; max-height: 1em;" /> El Salvador</td><td class="column-3">24.00</td>
</tr>
<tr class="row-136">
	<td class="column-1">135</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e7-1f1ec.png" alt="🇧🇬" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Bulgaria</td><td class="column-3">22.96</td>
</tr>
<tr class="row-137">
	<td class="column-1">136</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ee-1f1f7.png" alt="🇮🇷" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Iran</td><td class="column-3">22.3</td>
</tr>
<tr class="row-138">
	<td class="column-1">137</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f5-1f1f8.png" alt="🇵🇸" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Palestine</td><td class="column-3">22.12</td>
</tr>
<tr class="row-139">
	<td class="column-1">138</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f9-1f1f7.png" alt="🇹🇷" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Turkey</td><td class="column-3">22.11</td>
</tr>
<tr class="row-140">
	<td class="column-1">139</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e9-1f1ea.png" alt="🇩🇪" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Germany</td><td class="column-3">22.10</td>
</tr>
<tr class="row-141">
	<td class="column-1">140</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e9-1f1ef.png" alt="🇩🇯" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Djibouti</td><td class="column-3">21.27</td>
</tr>
<tr class="row-142">
	<td class="column-1">141</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f5-1f1ea.png" alt="🇵🇪" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Peru</td><td class="column-3">20.86</td>
</tr>
<tr class="row-143">
	<td class="column-1">142</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f2-1f1fe.png" alt="🇲🇾" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Malaysia</td><td class="column-3">20.8</td>
</tr>
<tr class="row-144">
	<td class="column-1">143</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e7-1f1f3.png" alt="🇧🇳" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Brunei</td><td class="column-3">20.56</td>
</tr>
<tr class="row-145">
	<td class="column-1">144</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ec-1f1f7.png" alt="🇬🇷" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Greece</td><td class="column-3">19.02</td>
</tr>
<tr class="row-146">
	<td class="column-1">145</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e7-1f1fe.png" alt="🇧🇾" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Belarus</td><td class="column-3">18.88</td>
</tr>
<tr class="row-147">
	<td class="column-1">146</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f0-1f1f7.png" alt="🇰🇷" class="wp-smiley" style="height: 1em; max-height: 1em;" /> South Korea</td><td class="column-3">18.50</td>
</tr>
<tr class="row-148">
	<td class="column-1">147</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ea-1f1f8.png" alt="🇪🇸" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Spain</td><td class="column-3">18.20</td>
</tr>
<tr class="row-149">
	<td class="column-1">148</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f2-1f1fd.png" alt="🇲🇽" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Mexico</td><td class="column-3">18.14</td>
</tr>
<tr class="row-150">
	<td class="column-1">149</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f1-1f1fe.png" alt="🇱🇾" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Libya</td><td class="column-3">18.09</td>
</tr>
<tr class="row-151">
	<td class="column-1">150</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e8-1f1e6.png" alt="🇨🇦" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Canada</td><td class="column-3">18.02</td>
</tr>
<tr class="row-152">
	<td class="column-1">151</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1eb-1f1f7.png" alt="🇫🇷" class="wp-smiley" style="height: 1em; max-height: 1em;" /> France</td><td class="column-3">17.96</td>
</tr>
<tr class="row-153">
	<td class="column-1">152</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e8-1f1f4.png" alt="🇨🇴" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Colombia</td><td class="column-3">17.35</td>
</tr>
<tr class="row-154">
	<td class="column-1">153</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f5-1f1fc.png" alt="🇵🇼" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Palau</td><td class="column-3">17.16</td>
</tr>
<tr class="row-155">
	<td class="column-1">154</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e8-1f1f7.png" alt="🇨🇷" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Costa Rica</td><td class="column-3">16.83</td>
</tr>
<tr class="row-156">
	<td class="column-1">155</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1fa-1f1f8.png" alt="🇺🇸" class="wp-smiley" style="height: 1em; max-height: 1em;" /> USA</td><td class="column-3">16.49</td>
</tr>
<tr class="row-157">
	<td class="column-1">156</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e7-1f1f8.png" alt="🇧🇸" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Bahamas</td><td class="column-3">16.24</td>
</tr>
<tr class="row-158">
	<td class="column-1">157</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f3-1f1f4.png" alt="🇳🇴" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Norway</td><td class="column-3">15.68</td>
</tr>
<tr class="row-159">
	<td class="column-1">158</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ec-1f1e7.png" alt="🇬🇧" class="wp-smiley" style="height: 1em; max-height: 1em;" /> United Kingdom</td><td class="column-3">15.12</td>
</tr>
<tr class="row-160">
	<td class="column-1">159</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e9-1f1f4.png" alt="🇩🇴" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Dominican Republic</td><td class="column-3">14.99</td>
</tr>
<tr class="row-161">
	<td class="column-1">160</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f8-1f1e6.png" alt="🇸🇦" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Saudi Arabia</td><td class="column-3">14.83</td>
</tr>
<tr class="row-162">
	<td class="column-1">161</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1eb-1f1ee.png" alt="🇫🇮" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Finland</td><td class="column-3">14.13</td>
</tr>
<tr class="row-163">
	<td class="column-1">162</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e6-1f1fa.png" alt="🇦🇺" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Australia</td><td class="column-3">13.25</td>
</tr>
<tr class="row-164">
	<td class="column-1">163</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f3-1f1ff.png" alt="🇳🇿" class="wp-smiley" style="height: 1em; max-height: 1em;" /> New Zealand</td><td class="column-3">12.91</td>
</tr>
<tr class="row-165">
	<td class="column-1">164</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e6-1f1e9.png" alt="🇦🇩" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Andorra</td><td class="column-3">12.25</td>
</tr>
<tr class="row-166">
	<td class="column-1">165</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e6-1f1ea.png" alt="🇦🇪" class="wp-smiley" style="height: 1em; max-height: 1em;" /> UA Emirates</td><td class="column-3">11.99</td>
</tr>
<tr class="row-167">
	<td class="column-1">166</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e7-1f1f7.png" alt="🇧🇷" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Brazil</td><td class="column-3">11.98</td>
</tr>
<tr class="row-168">
	<td class="column-1">167</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e8-1f1f1.png" alt="🇨🇱" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Chile</td><td class="column-3">11.88</td>
</tr>
<tr class="row-169">
	<td class="column-1">168</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1fb-1f1ea.png" alt="🇻🇪" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Venezuela</td><td class="column-3">11.49</td>
</tr>
<tr class="row-170">
	<td class="column-1">169</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e9-1f1f0.png" alt="🇩🇰" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Denmark</td><td class="column-3">11.37</td>
</tr>
<tr class="row-171">
	<td class="column-1">170</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f8-1f1ea.png" alt="🇸🇪" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Sweden</td><td class="column-3">11.02</td>
</tr>
<tr class="row-172">
	<td class="column-1">171</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f4-1f1f2.png" alt="🇴🇲" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Oman</td><td class="column-3">11.00</td>
</tr>
<tr class="row-173">
	<td class="column-1">172</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f1-1f1e7.png" alt="🇱🇧" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Lebanon</td><td class="column-3">10.4</td>
</tr>
<tr class="row-174">
	<td class="column-1">173</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e7-1f1ed.png" alt="🇧🇭" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Bahrain</td><td class="column-3">10.00</td>
</tr>
<tr class="row-175">
	<td class="column-1">174</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ec-1f1e6.png" alt="🇬🇦" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Gabon</td><td class="column-3">8.69</td>
</tr>
<tr class="row-176">
	<td class="column-1">175</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ef-1f1f5.png" alt="🇯🇵" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Japan</td><td class="column-3">7.87</td>
</tr>
<tr class="row-177">
	<td class="column-1">176</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ef-1f1f4.png" alt="🇯🇴" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Jordan</td><td class="column-3">7.79</td>
</tr>
<tr class="row-178">
	<td class="column-1">177</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f1-1f1fa.png" alt="🇱🇺" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Luxembourg</td><td class="column-3">7.73</td>
</tr>
<tr class="row-179">
	<td class="column-1">178</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e6-1f1f7.png" alt="🇦🇷" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Argentina</td><td class="column-3">7.42</td>
</tr>
<tr class="row-180">
	<td class="column-1">179</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ee-1f1f1.png" alt="🇮🇱" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Israel</td><td class="column-3">7.05</td>
</tr>
<tr class="row-181">
	<td class="column-1">180</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f3-1f1f1.png" alt="🇳🇱" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Netherlands</td><td class="column-3">6.55</td>
</tr>
<tr class="row-182">
	<td class="column-1">181</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ee-1f1f8.png" alt="🇮🇸" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Iceland</td><td class="column-3">5.91</td>
</tr>
<tr class="row-183">
	<td class="column-1">182</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f2-1f1f9.png" alt="🇲🇹" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Malta</td><td class="column-3">4.99</td>
</tr>
<tr class="row-184">
	<td class="column-1">183</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1fa-1f1fe.png" alt="🇺🇾" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Uruguay</td><td class="column-3">4.15</td>
</tr>
<tr class="row-185">
	<td class="column-1">184</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f8-1f1f2.png" alt="🇸🇲" class="wp-smiley" style="height: 1em; max-height: 1em;" /> San Marino</td><td class="column-3">2.07</td>
</tr>
<tr class="row-186">
	<td class="column-1">185</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e7-1f1ea.png" alt="🇧🇪" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Belgium</td><td class="column-3">1.78</td>
</tr>
<tr class="row-187">
	<td class="column-1">186</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f6-1f1e6.png" alt="🇶🇦" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Qatar</td><td class="column-3">0.61</td>
</tr>
<tr class="row-188">
	<td class="column-1">187</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e7-1f1f2.png" alt="🇧🇲" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Bermuda</td><td class="column-3">0</td>
</tr>
<tr class="row-189">
	<td class="column-1">188</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ec-1f1ee.png" alt="🇬🇮" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Gibraltar</td><td class="column-3">0</td>
</tr>
<tr class="row-190">
	<td class="column-1">189</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ed-1f1f0.png" alt="🇭🇰" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Hong Kong</td><td class="column-3">0</td>
</tr>
<tr class="row-191">
	<td class="column-1">190</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f0-1f1fc.png" alt="🇰🇼" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Kuwait</td><td class="column-3">0</td>
</tr>
<tr class="row-192">
	<td class="column-1">191</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f2-1f1f4.png" alt="🇲🇴" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Macao</td><td class="column-3">0</td>
</tr>
<tr class="row-193">
	<td class="column-1">192</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f2-1f1e8.png" alt="🇲🇨" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Monaco</td><td class="column-3">0</td>
</tr>
<tr class="row-194">
	<td class="column-1">193</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f8-1f1ec.png" alt="🇸🇬" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Singapore</td><td class="column-3">0</td>
</tr>
</tbody>
</table>
<!-- #tablepress-7688 from cache -->
<p>Africa dominates the ranking, with countries like Burundi, Malawi, Niger, and South Sudan among the world&#8217;s most rural. Outside Africa, Nepal, Timor-Leste, Papua New Guinea, and Cambodia also remain predominantly rural.</p>
<h2>The World Has Become Increasingly Urban</h2>
<p>Urbanization has been one of the defining demographic shifts of the past century. As countries develop, employment opportunities, education, healthcare, and infrastructure often become concentrated in cities, drawing millions of people away from rural communities.</p>
<p>According to <a href="https://ourworldindata.org/grapher/urban-and-rural-population" target="_blank" rel="noopener">Our World in Data</a>, about two-thirds of the global population lived in rural areas in 1960. Today, that share has fallen to roughly 43%, with urban residents now accounting for the majority of humanity.</p>
<p>The transition has been particularly rapid across East Asia, Latin America, and the Middle East, where urban populations have grown dramatically over the past several decades.</p>
<h2>Why Africa Still Has So Many Rural Countries</h2>
<p>Sub-Saharan Africa accounts for the overwhelming majority of countries on this list. Although many African cities are among the fastest-growing in the world, <a href="https://www.visualcapitalist.com/ranked-the-countries-with-the-most-agricultural-land/" target="_blank" rel="noopener">agriculture</a> remains a major employer across the continent, and a significant share of the population continues to live in villages and smaller communities.</p>
<p>Many of these nations also have relatively young populations and lower levels of industrialization compared to more urbanized regions, meaning rural livelihoods remain central to their economies.</p>
<p>Many majority-rural countries also feature prominently in our ranking of the countries with the most agricultural land, reflecting the continued importance of farming and rural industries.</p>
<h2>Will Majority-Rural Countries Become Rarer?</h2>
<p>Current demographic projections suggest the answer is yes. <a href="https://www.visualcapitalist.com/mapped-how-the-worlds-population-will-change-by-country/" target="_blank" rel="noopener">Global population growth</a> over the coming decades is expected to be concentrated in urban areas, with cities continuing to absorb most new residents.</p>
<p>That said, the pace of urbanization differs widely across countries. In many lower-income nations, especially across Africa, rural populations are expected to remain substantial for years to come, even as cities continue to expand.</p>
<p>The result is a world that is steadily becoming more urban, while rural communities continue to play a vital role in feeding populations, supporting livelihoods, and shaping national economies.</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">201902</post-id><media:content url="https://www.visualcapitalist.com/wp-content/uploads/2026/07/countries-with-more-than-half-rural-share.webp" medium="image" width="1200" height="675" />
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		<title>Visualizing Every FIFA World Cup Champion (1930–2022)</title>
		<link>https://www.visualcapitalist.com/cp/visualizing-every-fifa-world-cup-champion-1930-2022/</link>
		
		<dc:creator><![CDATA[Srijaa Chatterjee]]></dc:creator>
		<pubDate>Sat, 04 Jul 2026 18:25:06 +0000</pubDate>
				<category><![CDATA[Sports]]></category>
		<category><![CDATA[Brazil]]></category>
		<category><![CDATA[football]]></category>
		<category><![CDATA[World Cup 2026]]></category>
		<category><![CDATA[International Soccer]]></category>
		<category><![CDATA[Sports History]]></category>
		<category><![CDATA[global sports]]></category>
		<category><![CDATA[FIFA world cup]]></category>
		<category><![CDATA[Argentina]]></category>
		<category><![CDATA[world cup]]></category>
		<category><![CDATA[FIFA]]></category>
		<category><![CDATA[soccer]]></category>
		<guid isPermaLink="false">https://www.visualcapitalist.com/?post_type=cp&#038;p=201879</guid>

					<description><![CDATA[See every FIFA World Cup winner from 1930–2022 and discover which nations have dominated soccer's biggest tournament.]]></description>
										<content:encoded><![CDATA[<h2>Visualizing Every FIFA World Cup Champion (1930–2022)</h2>
<p><em>This was originally posted on our <a href="https://www.voronoiapp.com/sports/All-FIFA-World-Cup-Winners-1930-2022-8515" target="_blank" rel="noopener">Voronoi app</a>. Download the app for free on <a href="https://apps.apple.com/ca/app/voronoi-app/id6447905904" target="_blank" rel="noopener">iOS</a> or <a href="https://play.google.com/store/apps/details?id=com.voronoi.organization.app&amp;pli=1" target="_blank" rel="noopener">Android</a> and discover incredible data-driven charts from a variety of trusted sources.</em></p>
<div class="key-takeaways">
<h3>Key Takeaways:</h3>
<h3></h3>
<ul>
<li>Only eight countries have won the FIFA Men&#8217;s World Cup since the tournament began in 1930.</li>
<li>Brazil leads all nations with five titles, followed by Germany and Italy with four each.</li>
<li>Europe and South America have exclusively produced every World Cup champion, a trend that remains intact heading into 2026.</li>
</ul>
</div>
<p>The FIFA World Cup has crowned just eight different champions across 22 tournaments, highlighting how difficult it is to reach, and stay at, the summit of international soccer.</p>
<p>Created by <strong>Harris Saleem</strong>, the following visualization tracks every winner from Uruguay&#8217;s triumph in 1930 through Argentina&#8217;s dramatic victory over France in 2022. The data comes from <a href="https://www.foxsports.com/soccer/fifa-world-cup/history" target="_blank" rel="noopener">Fox Sports</a>, which maintains a comprehensive archive of every tournament, champion, and podium finisher throughout World Cup history.</p>
<h2>A Small Group of Nations Has Dominated World Cup History</h2>
<p>Here&#8217;s a complete list of every FIFA World Cup winner since the tournament&#8217;s inception in 1930.</p>

<table id="tablepress-7679" class="tablepress tablepress-id-7679">
<thead>
<tr class="row-1">
	<th class="column-1">Country</th><th class="column-2">No. of Titles</th><th class="column-3">Years</th>
</tr>
</thead>
<tbody class="row-striping row-hover">
<tr class="row-2">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e7-1f1f7.png" alt="🇧🇷" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Brazil</td><td class="column-2">5</td><td class="column-3">1958, 1962, 1970, 1994, 2002</td>
</tr>
<tr class="row-3">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e9-1f1ea.png" alt="🇩🇪" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Germany</td><td class="column-2">4</td><td class="column-3">1954, 1974, 1990, 2014</td>
</tr>
<tr class="row-4">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ee-1f1f9.png" alt="🇮🇹" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Italy</td><td class="column-2">4</td><td class="column-3">1934, 1938, 1982, 2006</td>
</tr>
<tr class="row-5">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e6-1f1f7.png" alt="🇦🇷" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Argentina</td><td class="column-2">3</td><td class="column-3">1978, 1986, 2022</td>
</tr>
<tr class="row-6">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1eb-1f1f7.png" alt="🇫🇷" class="wp-smiley" style="height: 1em; max-height: 1em;" /> France</td><td class="column-2">2</td><td class="column-3">1998, 2018</td>
</tr>
<tr class="row-7">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1fa-1f1fe.png" alt="🇺🇾" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Uruguay</td><td class="column-2">2</td><td class="column-3">1930, 1950</td>
</tr>
<tr class="row-8">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ec-1f1e7.png" alt="🇬🇧" class="wp-smiley" style="height: 1em; max-height: 1em;" /> England</td><td class="column-2">1</td><td class="column-3">1966</td>
</tr>
<tr class="row-9">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ea-1f1f8.png" alt="🇪🇸" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Spain</td><td class="column-2">1</td><td class="column-3">2010</td>
</tr>
</tbody>
</table>
<!-- #tablepress-7679 from cache -->
<p>Brazil remains the tournament&#8217;s most successful nation with five titles, while Germany and Italy have each lifted the trophy four times. Argentina&#8217;s victory in Qatar earned the country its third championship, leaving just eight nations to have ever won the competition.</p>
<p>The concentration of winners is remarkable given the World Cup&#8217;s global reach. More than 200 national teams compete during qualification, yet only a handful have consistently possessed the combination of elite player development, tactical continuity, and tournament experience needed to win it all.</p>
<h2>Why Europe and South America Continue to Rule</h2>
<p><a href="https://worldsoccertalk.com/world-cup/list-of-world-cup-winners-by-year-every-champion-since-1930/">Every World Cup</a> champion has come from either Europe or South America. Brazil, Argentina, and Uruguay account for 10 titles between them, while Germany, Italy, France, England, and Spain have combined for 12.</p>
<p>Several of these victories also defined entire eras of the sport. Brazil&#8217;s legendary teams of 1958, 1962, and 1970 established the country&#8217;s attacking identity, Italy became the first nation to win back-to-back World Cups in 1934 and 1938, and France emerged as a modern powerhouse after claiming titles in 1998 and 2018.</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">201879</post-id><media:content url="https://www.visualcapitalist.com/wp-content/uploads/2026/07/fifa-world-cup-winners-share.webp" medium="image" width="1200" height="675" />
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		<title>Visualizing Every El Niño and La Niña Since 1979</title>
		<link>https://www.visualcapitalist.com/cp/visualizing-every-el-nino-and-la-nina-since-1979/</link>
		
		<dc:creator><![CDATA[Srijaa Chatterjee]]></dc:creator>
		<pubDate>Sat, 04 Jul 2026 16:44:26 +0000</pubDate>
				<category><![CDATA[Environment]]></category>
		<category><![CDATA[climate change]]></category>
		<category><![CDATA[environment]]></category>
		<category><![CDATA[Ocean Temperatures]]></category>
		<category><![CDATA[ENSO]]></category>
		<category><![CDATA[La Niña]]></category>
		<category><![CDATA[NOAA]]></category>
		<category><![CDATA[el nino]]></category>
		<category><![CDATA[weather]]></category>
		<category><![CDATA[pacific ocean]]></category>
		<category><![CDATA[extreme weather]]></category>
		<category><![CDATA[global warming]]></category>
		<guid isPermaLink="false">https://www.visualcapitalist.com/?post_type=cp&#038;p=201943</guid>

					<description><![CDATA[Explore the El Niño cycle from 1979–2026, its strongest events, global climate impacts, and what NOAA forecasts for the latest El Niño.]]></description>
										<content:encoded><![CDATA[<h2>Visualizing Every El Niño and La Niña Since 1979</h2>
<p><em>This was originally posted on our <a href="https://www.voronoiapp.com/nature/The-El-Nio-Cycle-1979-2026-8526" target="_blank" rel="noopener">Voronoi app</a>. Download the app for free on <a href="https://apps.apple.com/ca/app/voronoi-app/id6447905904" target="_blank" rel="noopener">iOS</a> or <a href="https://play.google.com/store/apps/details?id=com.voronoi.organization.app&amp;pli=1" target="_blank" rel="noopener">Android</a> and discover incredible data-driven charts from a variety of trusted sources.</em></p>
<div class="key-takeaways">
<h3>Key Takeaways</h3>
<ul>
<li>The ENSO record since 1979 includes 17 El Niño, 19 La Niña, and 12 neutral winter seasons.</li>
<li>NOAA says a new El Niño developed in June 2026 and is expected to strengthen through the 2026-27 winter.</li>
<li>The strongest El Niño events have coincided with major droughts, floods, marine heat stress, and record global temperatures.</li>
</ul>
</div>
<p>El Niño is one of Earth&#8217;s most closely watched climate patterns because even modest changes in Pacific Ocean temperatures can reshape weather around the world. </p>
<p>This visualization tracks every Northern Hemisphere winter ENSO phase from 1979-80 through the forecast 2026-27 season, highlighting nearly five decades of alternating El Niño, La Niña, and neutral conditions.</p>
<p>Created by <strong>Julie R. Peasley</strong> using data from <a href="https://ggweather.com/enso/roni.htm" target="_blank" rel="noopener">Golden Gate Weather Services</a>, the <a href="https://www.ncei.noaa.gov/access/monitoring/dyk/el-nino" target="_blank" rel="noopener">National Centers for Environmental Information</a>, and <a href="https://www.cpc.ncep.noaa.gov/products/analysis_monitoring/enso_advisory/ensodisc.shtml" target="_blank" rel="noopener">NOAA</a>, the graphic places the developing 2026 El Niño into historical context alongside some of the strongest events on record.</p>
<h2>Nearly Five Decades of El Niño and La Niña Cycles</h2>
<p>From 1979-80 through the forecast 2026-27 season, the Pacific has alternated between warmer, cooler, and neutral conditions. The full winter-by-winter dataset is shown below.</p>

<table id="tablepress-7687" class="tablepress tablepress-id-7687">
<thead>
<tr class="row-1">
	<th class="column-1">Year (Winter Season)</th><th class="column-2">Type</th><th class="column-3">Intensity</th>
</tr>
</thead>
<tbody class="row-striping row-hover">
<tr class="row-2">
	<td class="column-1">2026-27</td><td class="column-2">El Niño</td><td class="column-3">Unknown but forecasted to be Strong</td>
</tr>
<tr class="row-3">
	<td class="column-1">2025-26</td><td class="column-2">La Niña</td><td class="column-3">Weak</td>
</tr>
<tr class="row-4">
	<td class="column-1">2024-25</td><td class="column-2">La Niña</td><td class="column-3">Weak</td>
</tr>
<tr class="row-5">
	<td class="column-1">2023-24</td><td class="column-2">El Niño</td><td class="column-3">Moderate</td>
</tr>
<tr class="row-6">
	<td class="column-1">2022-23</td><td class="column-2">La Niña</td><td class="column-3">Moderate</td>
</tr>
<tr class="row-7">
	<td class="column-1">2021-22</td><td class="column-2">La Niña</td><td class="column-3">Moderate</td>
</tr>
<tr class="row-8">
	<td class="column-1">2020-21</td><td class="column-2">La Niña</td><td class="column-3">Moderate</td>
</tr>
<tr class="row-9">
	<td class="column-1">2019-20</td><td class="column-2">Neutral</td><td class="column-3">-</td>
</tr>
<tr class="row-10">
	<td class="column-1">2018-19</td><td class="column-2">El Niño</td><td class="column-3">Weak</td>
</tr>
<tr class="row-11">
	<td class="column-1">2017-18</td><td class="column-2">La Niña</td><td class="column-3">Moderate</td>
</tr>
<tr class="row-12">
	<td class="column-1">2016-17</td><td class="column-2">La Niña</td><td class="column-3">Moderate</td>
</tr>
<tr class="row-13">
	<td class="column-1">2015-16</td><td class="column-2">El Niño</td><td class="column-3">Very Strong</td>
</tr>
<tr class="row-14">
	<td class="column-1">2014-15</td><td class="column-2">El Niño</td><td class="column-3">Weak</td>
</tr>
<tr class="row-15">
	<td class="column-1">2013-14</td><td class="column-2">Neutral</td><td class="column-3">-</td>
</tr>
<tr class="row-16">
	<td class="column-1">2012-13</td><td class="column-2">Neutral</td><td class="column-3">-</td>
</tr>
<tr class="row-17">
	<td class="column-1">2011-12</td><td class="column-2">La Niña</td><td class="column-3">Weak</td>
</tr>
<tr class="row-18">
	<td class="column-1">2010-11</td><td class="column-2">La Niña</td><td class="column-3">Strong</td>
</tr>
<tr class="row-19">
	<td class="column-1">2009-10</td><td class="column-2">El Niño</td><td class="column-3">Moderate</td>
</tr>
<tr class="row-20">
	<td class="column-1">2008-09</td><td class="column-2">La Niña</td><td class="column-3">Weak</td>
</tr>
<tr class="row-21">
	<td class="column-1">2007-08</td><td class="column-2">La Niña</td><td class="column-3">Strong</td>
</tr>
<tr class="row-22">
	<td class="column-1">2006-07</td><td class="column-2">El Niño</td><td class="column-3">Weak</td>
</tr>
<tr class="row-23">
	<td class="column-1">2005-06</td><td class="column-2">La Niña</td><td class="column-3">Weak</td>
</tr>
<tr class="row-24">
	<td class="column-1">2004-05</td><td class="column-2">El Niño</td><td class="column-3">Weak</td>
</tr>
<tr class="row-25">
	<td class="column-1">2003-04</td><td class="column-2">Neutral</td><td class="column-3">-</td>
</tr>
<tr class="row-26">
	<td class="column-1">2002-03</td><td class="column-2">El Niño</td><td class="column-3">Moderate</td>
</tr>
<tr class="row-27">
	<td class="column-1">2001-02</td><td class="column-2">Neutral</td><td class="column-3">-</td>
</tr>
<tr class="row-28">
	<td class="column-1">2000-01</td><td class="column-2">La Niña</td><td class="column-3">Weak</td>
</tr>
<tr class="row-29">
	<td class="column-1">1999-00</td><td class="column-2">La Niña</td><td class="column-3">Strong</td>
</tr>
<tr class="row-30">
	<td class="column-1">1998-99</td><td class="column-2">La Niña</td><td class="column-3">Strong</td>
</tr>
<tr class="row-31">
	<td class="column-1">1997-98</td><td class="column-2">El Niño</td><td class="column-3">Very Strong</td>
</tr>
<tr class="row-32">
	<td class="column-1">1996-97</td><td class="column-2">Neutral</td><td class="column-3">-</td>
</tr>
<tr class="row-33">
	<td class="column-1">1995-96</td><td class="column-2">La Niña</td><td class="column-3">Weak</td>
</tr>
<tr class="row-34">
	<td class="column-1">1994-95</td><td class="column-2">El Niño</td><td class="column-3">Moderate</td>
</tr>
<tr class="row-35">
	<td class="column-1">1993-94</td><td class="column-2">Neutral</td><td class="column-3">-</td>
</tr>
<tr class="row-36">
	<td class="column-1">1992-93</td><td class="column-2">El Niño</td><td class="column-3">Weak</td>
</tr>
<tr class="row-37">
	<td class="column-1">1991-92</td><td class="column-2">El Niño</td><td class="column-3">Very Strong</td>
</tr>
<tr class="row-38">
	<td class="column-1">1990-91</td><td class="column-2">Neutral</td><td class="column-3">-</td>
</tr>
<tr class="row-39">
	<td class="column-1">1989-90</td><td class="column-2">Neutral</td><td class="column-3">-</td>
</tr>
<tr class="row-40">
	<td class="column-1">1988-89</td><td class="column-2">La Niña</td><td class="column-3">Strong</td>
</tr>
<tr class="row-41">
	<td class="column-1">1987-88</td><td class="column-2">El Niño</td><td class="column-3">Moderate</td>
</tr>
<tr class="row-42">
	<td class="column-1">1986-87</td><td class="column-2">El Niño</td><td class="column-3">Moderate</td>
</tr>
<tr class="row-43">
	<td class="column-1">1985-86</td><td class="column-2">Neutral</td><td class="column-3">-</td>
</tr>
<tr class="row-44">
	<td class="column-1">1984-85</td><td class="column-2">La Niña</td><td class="column-3">Weak</td>
</tr>
<tr class="row-45">
	<td class="column-1">1983-84</td><td class="column-2">La Niña</td><td class="column-3">Weak</td>
</tr>
<tr class="row-46">
	<td class="column-1">1982-83</td><td class="column-2">El Niño</td><td class="column-3">Very Strong</td>
</tr>
<tr class="row-47">
	<td class="column-1">1981-82</td><td class="column-2">Neutral</td><td class="column-3">-</td>
</tr>
<tr class="row-48">
	<td class="column-1">1980-81</td><td class="column-2">Neutral</td><td class="column-3">-</td>
</tr>
<tr class="row-49">
	<td class="column-1">1979-80</td><td class="column-2">El Niño</td><td class="column-3">Weak</td>
</tr>
</tbody>
</table>
<!-- #tablepress-7687 from cache -->
<p>Although La Niña has occurred slightly more often since 1979, the strongest El Niño episodes have generally produced the most widespread global impacts. This highlights that an event&#8217;s intensity often matters more than how frequently it occurs.</p>
<p>The ENSO phases shown in the visualization are based on tropical Pacific sea surface temperature anomalies. Neutral conditions range from roughly -0.4°C to +0.4°C, while El Niño begins above +0.5°C and reaches the &#8220;very strong&#8221; category at +2.0°C or higher.</p>
<h2>The El Niño Events Shaping Modern Climate History</h2>
<p>Several El Niño episodes stand out for their global consequences. The 1982-83 event brought severe drought across Australia and Indonesia while triggering flooding across parts of the southern United States. It also fueled Hawaii&#8217;s strongest hurricane on record at the time.</p>
<p>The 1997-98 &#8220;super&#8221; El Niño became one of the strongest ever observed, contributing to floods, droughts, and wildfires across multiple continents. Record ocean heat during that event is estimated to have killed roughly 16% of the world&#8217;s coral reefs.</p>
<p>More recently, the powerful 2015-16 El Niño coincided with record global temperatures, destructive North Pacific hurricanes, Indonesian wildfires, drought in Ethiopia and parts of the Caribbean, and the largest annual increase in atmospheric CO₂ measured at the time. These climate swings also help explain longer-term shifts in <a href="https://www.visualcapitalist.com/ranked-where-emissions-are-rising-and-falling/">global emissions</a>.</p>
<h2>What Is Happening in 2026?</h2>
<p>According to NOAA, a new El Niño officially developed during June 2026 after tropical Pacific waters warmed beyond the threshold for El Niño conditions. Forecasters expect the event to strengthen through the 2026-27 Northern Hemisphere winter, although its ultimate intensity remains uncertain.</p>
<p>El Niño does not cause the same weather everywhere, but it raises the likelihood of climate extremes across many regions. NOAA and the World Meteorological Organization say the developing 2026 event could influence heat, rainfall, and storm patterns through the coming Northern Hemisphere winter, with impacts varying by location.</p>
<p>With oceans already experiencing exceptional warmth, scientists are watching closely to see whether this latest El Niño amplifies global temperatures further during late 2026 and into 2027.</p>
<h2>Learn More on the Voronoi App <img decoding="async" style="vertical-align: middle;" src="https://www.visualcapitalist.com/wp-content/uploads/2023/12/voronoi-icon-transparent.png" width="40px" /></h2>
<p>If you&#8217;re interested in how climate patterns translate into real-world economic impacts, check out <a href="https://www.voronoiapp.com/climate/US-Climate-Disasters-Have-Cost-Nearly-1-Trillion-So-Far-This-Decade-8379" target="_blank" rel="noopener"><strong>U.S. Climate Disasters Have Cost Nearly $1 Trillion So Far This Decade</strong></a> on the Voronoi app, where you&#8217;ll find more data-driven visualizations covering weather, climate, and the environment.</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">201943</post-id><media:content url="https://www.visualcapitalist.com/wp-content/uploads/2026/07/el-nino-cycle.webp" medium="image" width="1200" height="675" />
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		<title>Ranked: Countries With the Fastest Immigration Growth (2019–2024)</title>
		<link>https://www.visualcapitalist.com/ranked-where-immigration-increased-the-most-across-oecd-countries/</link>
		
		<dc:creator><![CDATA[Dorothy Neufeld]]></dc:creator>
		<pubDate>Sat, 04 Jul 2026 14:09:33 +0000</pubDate>
				<category><![CDATA[Immigration]]></category>
		<category><![CDATA[Demographics]]></category>
		<category><![CDATA[migration]]></category>
		<category><![CDATA[immigration]]></category>
		<category><![CDATA[population]]></category>
		<category><![CDATA[oecd]]></category>
		<category><![CDATA[europe]]></category>
		<category><![CDATA[demographics]]></category>
		<guid isPermaLink="false">https://www.visualcapitalist.com/?p=201649</guid>

					<description><![CDATA[See which OECD countries saw the biggest changes in permanent immigration between 2019 and 2024, from Poland's surge to Colombia's decline.]]></description>
										<content:encoded><![CDATA[<div class="rss-image"><p><a class="licensing-button" href="https://licensing.visualcapitalist.com/product/ranked-where-immigration-increased-the-most-across-oecd-countries/" target="_blank">Use This Visualization</a></p>
</div><h2>Countries With the Fastest Immigration Growth (2019–2024)</h2>
<p><em>See visuals like this from many other data creators on our <a href="https://www.voronoiapp.com/" target="_blank" rel="noopener">Voronoi app</a>. Download it for free on <a href="https://apps.apple.com/ca/app/voronoi-app/id6447905904" target="_blank" rel="noopener">iOS</a> or <a href="https://play.google.com/store/apps/details?id=com.voronoi.organization.app&amp;pli=1" target="_blank" rel="noopener">Android</a> and discover incredible data-driven charts from a variety of trusted sources.</em></p>
<div class="key-takeaways">
<h3>Key Takeaways</h3>
<ul>
<li>Poland recorded the fastest growth in permanent immigration across the OECD, up 129% since 2019.</li>
<li>Mexico, Spain, Costa Rica, and Ireland also saw immigration rise sharply, showing growth is extending beyond traditional destinations.</li>
<li>Several OECD countries moved in the opposite direction, led by Colombia (-73%), Latvia (-59%), and Czechia (-36%).</li>
</ul>
</div>
<p>Permanent immigration has accelerated across much of the OECD, but not always in the countries people might expect.</p>
<p>Using <a href="https://www.oecd.org/content/dam/oecd/en/publications/reports/2025/11/international-migration-outlook-2025_355ae9fd/ae26c893-en.pdf" target="_blank">OECD</a> data, this ranking compares how permanent immigration changed between 2019 and 2024.</p>
<p>Poland led by a wide margin, while Mexico, Spain, and Costa Rica also posted some of the largest increases. The data includes foreign nationals granted long-term residence.</p>
<h2>How Permanent Immigration Changed Across the OECD</h2>
<p>The table below shows the change in permanent migration by country between 2019 and 2024:</p>

<table id="tablepress-7665" class="tablepress tablepress-id-7665">
<thead>
<tr class="row-1">
	<th class="column-1">Rank</th><th class="column-2">Country</th><th class="column-3">Change in Permanent Migration 2019–2024</th>
</tr>
</thead>
<tbody class="row-striping row-hover">
<tr class="row-2">
	<td class="column-1">1</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f5-1f1f1.png" alt="🇵🇱" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Poland</td><td class="column-3">129%</td>
</tr>
<tr class="row-3">
	<td class="column-1">2</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f1-1f1f9.png" alt="🇱🇹" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Lithuania</td><td class="column-3">97%</td>
</tr>
<tr class="row-4">
	<td class="column-1">3</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f2-1f1fd.png" alt="🇲🇽" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Mexico</td><td class="column-3">79%</td>
</tr>
<tr class="row-5">
	<td class="column-1">4</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ea-1f1f8.png" alt="🇪🇸" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Spain</td><td class="column-3">50%</td>
</tr>
<tr class="row-6">
	<td class="column-1">5</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e8-1f1f7.png" alt="🇨🇷" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Costa Rica</td><td class="column-3">49%</td>
</tr>
<tr class="row-7">
	<td class="column-1">6</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ee-1f1ea.png" alt="🇮🇪" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Ireland</td><td class="column-3">48%</td>
</tr>
<tr class="row-8">
	<td class="column-1">7</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e8-1f1e6.png" alt="🇨🇦" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Canada</td><td class="column-3">42%</td>
</tr>
<tr class="row-9">
	<td class="column-1">8</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f3-1f1ff.png" alt="🇳🇿" class="wp-smiley" style="height: 1em; max-height: 1em;" /> New Zealand</td><td class="column-3">39%</td>
</tr>
<tr class="row-10">
	<td class="column-1">9</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ee-1f1f8.png" alt="🇮🇸" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Iceland</td><td class="column-3">38%</td>
</tr>
<tr class="row-11">
	<td class="column-1">10</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1fa-1f1f8.png" alt="🇺🇸" class="wp-smiley" style="height: 1em; max-height: 1em;" /> U.S.</td><td class="column-3">38%</td>
</tr>
<tr class="row-12">
	<td class="column-1">11</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f5-1f1f9.png" alt="🇵🇹" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Portugal</td><td class="column-3">29%</td>
</tr>
<tr class="row-13">
	<td class="column-1">12</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ef-1f1f5.png" alt="🇯🇵" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Japan</td><td class="column-3">29%</td>
</tr>
<tr class="row-14">
	<td class="column-1">13</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e8-1f1ed.png" alt="🇨🇭" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Switzerland</td><td class="column-3">27%</td>
</tr>
<tr class="row-15">
	<td class="column-1">14</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1eb-1f1ee.png" alt="🇫🇮" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Finland</td><td class="column-3">24%</td>
</tr>
<tr class="row-16">
	<td class="column-1">15</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ec-1f1e7.png" alt="🇬🇧" class="wp-smiley" style="height: 1em; max-height: 1em;" /> UK</td><td class="column-3">22%</td>
</tr>
<tr class="row-17">
	<td class="column-1">16</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e6-1f1fa.png" alt="🇦🇺" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Australia</td><td class="column-3">22%</td>
</tr>
<tr class="row-18">
	<td class="column-1">17</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e6-1f1f9.png" alt="🇦🇹" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Austria</td><td class="column-3">22%</td>
</tr>
<tr class="row-19">
	<td class="column-1">18</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ee-1f1f1.png" alt="🇮🇱" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Israel</td><td class="column-3">20%</td>
</tr>
<tr class="row-20">
	<td class="column-1">19</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e9-1f1f0.png" alt="🇩🇰" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Denmark</td><td class="column-3">19%</td>
</tr>
<tr class="row-21">
	<td class="column-1">20</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e7-1f1ea.png" alt="🇧🇪" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Belgium</td><td class="column-3">12%</td>
</tr>
<tr class="row-22">
	<td class="column-1">21</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f3-1f1f1.png" alt="🇳🇱" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Netherlands</td><td class="column-3">11%</td>
</tr>
<tr class="row-23">
	<td class="column-1">22</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f1-1f1fa.png" alt="🇱🇺" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Luxembourg</td><td class="column-3">8%</td>
</tr>
<tr class="row-24">
	<td class="column-1">23</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1eb-1f1f7.png" alt="🇫🇷" class="wp-smiley" style="height: 1em; max-height: 1em;" /> France</td><td class="column-3">5%</td>
</tr>
<tr class="row-25">
	<td class="column-1">24</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f0-1f1f7.png" alt="🇰🇷" class="wp-smiley" style="height: 1em; max-height: 1em;" /> South Korea</td><td class="column-3">4%</td>
</tr>
<tr class="row-26">
	<td class="column-1">25</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ee-1f1f9.png" alt="🇮🇹" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Italy</td><td class="column-3">1%</td>
</tr>
<tr class="row-27">
	<td class="column-1">26</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e9-1f1ea.png" alt="🇩🇪" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Germany</td><td class="column-3">-9%</td>
</tr>
<tr class="row-28">
	<td class="column-1">27</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ed-1f1fa.png" alt="🇭🇺" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Hungary</td><td class="column-3">-11%</td>
</tr>
<tr class="row-29">
	<td class="column-1">28</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ea-1f1ea.png" alt="🇪🇪" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Estonia</td><td class="column-3">-14%</td>
</tr>
<tr class="row-30">
	<td class="column-1">29</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f8-1f1f0.png" alt="🇸🇰" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Slovakia</td><td class="column-3">-22%</td>
</tr>
<tr class="row-31">
	<td class="column-1">30</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f3-1f1f4.png" alt="🇳🇴" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Norway</td><td class="column-3">-23%</td>
</tr>
<tr class="row-32">
	<td class="column-1">31</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f8-1f1ea.png" alt="🇸🇪" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Sweden</td><td class="column-3">-24%</td>
</tr>
<tr class="row-33">
	<td class="column-1">32</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f8-1f1ee.png" alt="🇸🇮" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Slovenia</td><td class="column-3">-27%</td>
</tr>
<tr class="row-34">
	<td class="column-1">33</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ec-1f1f7.png" alt="🇬🇷" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Greece</td><td class="column-3">-32%</td>
</tr>
<tr class="row-35">
	<td class="column-1">34</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e8-1f1ff.png" alt="🇨🇿" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Czechia</td><td class="column-3">-36%</td>
</tr>
<tr class="row-36">
	<td class="column-1">35</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e8-1f1f1.png" alt="🇨🇱" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Chile</td><td class="column-3">-56%</td>
</tr>
<tr class="row-37">
	<td class="column-1">36</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f1-1f1fb.png" alt="🇱🇻" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Latvia</td><td class="column-3">-59%</td>
</tr>
<tr class="row-38">
	<td class="column-1">37</td><td class="column-2"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e8-1f1f4.png" alt="🇨🇴" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Colombia</td><td class="column-3">-73%</td>
</tr>
</tbody>
<tfoot>
<tr class="row-39">
	<th class="column-1">--</th><th class="column-2">OECD Average</th><th class="column-3">13%</th>
</tr>
</tfoot>
</table>
<!-- #tablepress-7665 from cache -->
<p>Poland&#8217;s permanent immigration rose 129% between 2019 and 2024, the fastest increase across the OECD. Lithuania ranked second (+97%), while Mexico (+79%), Spain (+50%), and Costa Rica (+49%) rounded out the top five.</p>
<p>While Western Europe has traditionally attracted the largest numbers of migrants, Poland&#8217;s strong labor market, rising wages, and <a href="https://www.visualcapitalist.com/real-gdp-growth-per-capita-since-2000-ranking/" target="_blank">rapid economic expansion</a> have made it one of the continent&#8217;s fastest-growing destinations for international workers.</p>
<h2>Migration Growth Is Becoming Less Concentrated</h2>
<p>One of the clearest trends is that immigration growth is no longer concentrated in the OECD&#8217;s <a href="https://www.visualcapitalist.com/ranked-countries-where-migrants-live-today/" target="_blank">traditional destinations</a>.</p>
<p>While Canada, the U.S., and Australia all continued to attract more permanent migrants, some of the fastest growth occurred in smaller and emerging destination countries. This suggests migration patterns are broadening as workers respond to changing labor demand and economic opportunities.</p>
<p>Not every OECD nation experienced rising inflows. Colombia (-73%), Latvia (-59%), Czechia (-36%), Sweden (-24%), and Norway (-23%) all recorded declines in permanent immigration.</p>
<p>Colombia&#8217;s decline reflects a stabilization after a record wave of Venezuelan arrivals peaked around 2019. Although migration has slowed, Colombia continues to host Latin America’s largest migrant population.</p>
<h2>Learn More on the Voronoi App <img decoding="async" style="vertical-align: middle;" src="https://www.visualcapitalist.com/wp-content/uploads/2023/12/voronoi-icon-transparent.png" width="40px" /></h2>
<p>To learn more about this topic, check out this <a href="https://www.voronoiapp.com/demographics/Projected-Population-Change-by-Country-2025-2050-8056" target="_blank">graphic</a> on projected population change by country through 2050.</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">201649</post-id><media:content url="https://www.visualcapitalist.com/wp-content/uploads/2026/07/immigration-growth-share.webp" medium="image" width="1200" height="675" />
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		<item>
		<title>Mapped: Income Needed to Live Comfortably in U.S. Cities</title>
		<link>https://www.visualcapitalist.com/mapped-income-needed-to-live-comfortably-in-u-s-cities/</link>
		
		<dc:creator><![CDATA[Bruno Venditti]]></dc:creator>
		<pubDate>Sat, 04 Jul 2026 12:04:23 +0000</pubDate>
				<category><![CDATA[Cost of Living]]></category>
		<category><![CDATA[United States]]></category>
		<category><![CDATA[Maps]]></category>
		<category><![CDATA[Money]]></category>
		<category><![CDATA[united states]]></category>
		<category><![CDATA[salaries]]></category>
		<category><![CDATA[housing]]></category>
		<category><![CDATA[income]]></category>
		<category><![CDATA[personal finance]]></category>
		<category><![CDATA[cost of living]]></category>
		<category><![CDATA[cities]]></category>
		<guid isPermaLink="false">https://www.visualcapitalist.com/?p=201931</guid>

					<description><![CDATA[See the salary a family of four needs to live comfortably in 56 major U.S. cities, led by San Francisco and San Jose.
]]></description>
										<content:encoded><![CDATA[<div class="rss-image"><p><a class="licensing-button" href="https://licensing.visualcapitalist.com/product/mapped-income-needed-to-live-comfortably-in-u-s-cities/" target="_blank">Use This Visualization</a></p>
</div><h2>Mapped: Income Needed to Live Comfortably in U.S. Cities</h2>
<p> <em>See visuals like this from many other data creators on our&nbsp;<a href="https://www.voronoiapp.com/" target="_blank" rel="noopener">Voronoi app</a>. Download it for free on&nbsp;<a href="https://apps.apple.com/ca/app/voronoi-app/id6447905904" target="_blank" rel="noopener">iOS</a>&nbsp;or&nbsp;<a href="https://play.google.com/store/apps/details?id=com.voronoi.organization.app&amp;pli=1" target="_blank" rel="noopener">Android</a>&nbsp;and discover incredible data-driven charts from a variety of trusted sources.</em> </p>
<div class="key-takeaways">
<h3>Key Takeaways</h3>
<ul>
<li>A family of four needs more than $400,000 annually to live comfortably in both San Francisco and San Jose.</li>
<li>California is home to six of the 10 highest-income cities in the ranking.</li>
<li>Even the most affordable city analyzed still requires nearly $200,000 under the 50/30/20 budgeting rule.</li>
</ul></div>
<p> This map ranks 56 major U.S. cities by the annual income a family of four needs to live comfortably.</p>
<p>Using data from <a href="https://smartasset.com/data-studies/salary-needed-live-comfortably-2026" target="_blank" rel="noopener">SmartAsset</a>, based on the <a href="https://livingwage.mit.edu/" target="_blank" rel="noopener">MIT Living Wage Calculator</a> updated in February 2026, the estimates apply the 50/30/20 budgeting framework: 50% of income for necessities, 30% for discretionary spending, and 20% for savings. </p>
<p>The results highlight how much the cost of maintaining the same standard of living varies across the country.</p>
<h2>Bay Area Cities Lead the Ranking</h2>
<p> San Francisco tops the ranking, with a family of four needing about $408,000 annually to live comfortably.</p>
<p>Nearby San Jose follows at roughly $403,000, while Oakland ranks third at $371,000.</p>

<table id="tablepress-7686" class="tablepress tablepress-id-7686">
<thead>
<tr class="row-1">
	<th class="column-1">Rank</th><th class="column-2">City</th><th class="column-3">Family Income Need to Live Confortably</th>
</tr>
</thead>
<tbody class="row-striping row-hover">
<tr class="row-2">
	<td class="column-1">1</td><td class="column-2">San Francisco, CA</td><td class="column-3">$407,597</td>
</tr>
<tr class="row-3">
	<td class="column-1">2</td><td class="column-2">San Jose, CA</td><td class="column-3">$402,771</td>
</tr>
<tr class="row-4">
	<td class="column-1">3</td><td class="column-2">Oakland, CA</td><td class="column-3">$371,488</td>
</tr>
<tr class="row-5">
	<td class="column-1">4</td><td class="column-2">Boston, MA</td><td class="column-3">$368,742</td>
</tr>
<tr class="row-6">
	<td class="column-1">5</td><td class="column-2">Arlington, VA</td><td class="column-3">$368,326</td>
</tr>
<tr class="row-7">
	<td class="column-1">6</td><td class="column-2">New York, NY</td><td class="column-3">$337,875</td>
</tr>
<tr class="row-8">
	<td class="column-1">7</td><td class="column-2">Seattle, WA</td><td class="column-3">$334,131</td>
</tr>
<tr class="row-9">
	<td class="column-1">8</td><td class="column-2">Irvine, CA</td><td class="column-3">$327,226</td>
</tr>
<tr class="row-10">
	<td class="column-1">9</td><td class="column-2">Honolulu, HI</td><td class="column-3">$321,069</td>
</tr>
<tr class="row-11">
	<td class="column-1">10</td><td class="column-2">Washington, DC</td><td class="column-3">$319,405</td>
</tr>
<tr class="row-12">
	<td class="column-1">11</td><td class="column-2">Portland, OR</td><td class="column-3">$313,747</td>
</tr>
<tr class="row-13">
	<td class="column-1">12</td><td class="column-2">San Diego, CA</td><td class="column-3">$312,915</td>
</tr>
<tr class="row-14">
	<td class="column-1">13</td><td class="column-2">Denver, CO</td><td class="column-3">$303,514</td>
</tr>
<tr class="row-15">
	<td class="column-1">14</td><td class="column-2">Jersey City, NJ</td><td class="column-3">$297,606</td>
</tr>
<tr class="row-16">
	<td class="column-1">15</td><td class="column-2">Minneapolis, MN</td><td class="column-3">$288,787</td>
</tr>
<tr class="row-17">
	<td class="column-1">16</td><td class="column-2">Anchorage, AK</td><td class="column-3">$285,210</td>
</tr>
<tr class="row-18">
	<td class="column-1">17</td><td class="column-2">Los Angeles, CA</td><td class="column-3">$281,466</td>
</tr>
<tr class="row-19">
	<td class="column-1">18</td><td class="column-2">Sacramento, CA</td><td class="column-3">$279,802</td>
</tr>
<tr class="row-20">
	<td class="column-1">19</td><td class="column-2">Newark, NJ</td><td class="column-3">$278,221</td>
</tr>
<tr class="row-21">
	<td class="column-1">20</td><td class="column-2">St. Paul, MN</td><td class="column-3">$278,221</td>
</tr>
<tr class="row-22">
	<td class="column-1">21</td><td class="column-2">Riverside, CA</td><td class="column-3">$270,566</td>
</tr>
<tr class="row-23">
	<td class="column-1">22</td><td class="column-2">Colorado Springs, CO</td><td class="column-3">$270,566</td>
</tr>
<tr class="row-24">
	<td class="column-1">23</td><td class="column-2">Tacoma, WA</td><td class="column-3">$264,742</td>
</tr>
<tr class="row-25">
	<td class="column-1">24</td><td class="column-2">Madison, WI</td><td class="column-3">$263,245</td>
</tr>
<tr class="row-26">
	<td class="column-1">25</td><td class="column-2">Philadelphia, PA</td><td class="column-3">$252,845</td>
</tr>
<tr class="row-27">
	<td class="column-1">26</td><td class="column-2">Reno, NV</td><td class="column-3">$251,264</td>
</tr>
<tr class="row-28">
	<td class="column-1">27</td><td class="column-2">Boise, ID</td><td class="column-3">$251,181</td>
</tr>
<tr class="row-29">
	<td class="column-1">28</td><td class="column-2">Raleigh, NC</td><td class="column-3">$249,434</td>
</tr>
<tr class="row-30">
	<td class="column-1">29</td><td class="column-2">Buffalo, NY</td><td class="column-3">$247,853</td>
</tr>
<tr class="row-31">
	<td class="column-1">30</td><td class="column-2">Indianapolis, IN</td><td class="column-3">$247,021</td>
</tr>
<tr class="row-32">
	<td class="column-1">31</td><td class="column-2">Phoenix, AZ</td><td class="column-3">$245,523</td>
</tr>
<tr class="row-33">
	<td class="column-1">32</td><td class="column-2">Chicago, IL</td><td class="column-3">$242,278</td>
</tr>
<tr class="row-34">
	<td class="column-1">33</td><td class="column-2">Charlotte, NC</td><td class="column-3">$241,446</td>
</tr>
<tr class="row-35">
	<td class="column-1">34</td><td class="column-2">Pittsburgh, PA</td><td class="column-3">$238,534</td>
</tr>
<tr class="row-36">
	<td class="column-1">35</td><td class="column-2">Columbus, OH</td><td class="column-3">$238,534</td>
</tr>
<tr class="row-37">
	<td class="column-1">36</td><td class="column-2">Durham, NC</td><td class="column-3">$237,619</td>
</tr>
<tr class="row-38">
	<td class="column-1">37</td><td class="column-2">Virginia Beach, VA</td><td class="column-3">$237,702</td>
</tr>
<tr class="row-39">
	<td class="column-1">38</td><td class="column-2">Atlanta, GA</td><td class="column-3">$232,378</td>
</tr>
<tr class="row-40">
	<td class="column-1">39</td><td class="column-2">Omaha, NE</td><td class="column-3">$232,294</td>
</tr>
<tr class="row-41">
	<td class="column-1">40</td><td class="column-2">Miami, FL</td><td class="column-3">$231,130</td>
</tr>
<tr class="row-42">
	<td class="column-1">41</td><td class="column-2">Kansas City, MO</td><td class="column-3">$230,131</td>
</tr>
<tr class="row-43">
	<td class="column-1">42</td><td class="column-2">Plano, TX</td><td class="column-3">$230,464</td>
</tr>
<tr class="row-44">
	<td class="column-1">43</td><td class="column-2">Austin, TX</td><td class="column-3">$229,050</td>
</tr>
<tr class="row-45">
	<td class="column-1">44</td><td class="column-2">Tampa, FL</td><td class="column-3">$226,720</td>
</tr>
<tr class="row-46">
	<td class="column-1">45</td><td class="column-2">Baltimore, MD</td><td class="column-3">$224,224</td>
</tr>
<tr class="row-47">
	<td class="column-1">46</td><td class="column-2">Richmond, VA</td><td class="column-3">$223,974</td>
</tr>
<tr class="row-48">
	<td class="column-1">47</td><td class="column-2">Fort Worth, TX</td><td class="column-3">$217,235</td>
</tr>
<tr class="row-49">
	<td class="column-1">48</td><td class="column-2">Tulsa, OK</td><td class="column-3">$215,238</td>
</tr>
<tr class="row-50">
	<td class="column-1">49</td><td class="column-2">Dallas, TX</td><td class="column-3">$214,490</td>
</tr>
<tr class="row-51">
	<td class="column-1">50</td><td class="column-2">Orlando, FL</td><td class="column-3">$214,157</td>
</tr>
<tr class="row-52">
	<td class="column-1">51</td><td class="column-2">Nashville, TN</td><td class="column-3">$213,408</td>
</tr>
<tr class="row-53">
	<td class="column-1">52</td><td class="column-2">Jacksonville, FL</td><td class="column-3">$211,578</td>
</tr>
<tr class="row-54">
	<td class="column-1">53</td><td class="column-2">Houston, TX</td><td class="column-3">$204,672</td>
</tr>
<tr class="row-55">
	<td class="column-1">54</td><td class="column-2">New Orleans, LA</td><td class="column-3">$197,766</td>
</tr>
<tr class="row-56">
	<td class="column-1">55</td><td class="column-2">Memphis, TN</td><td class="column-3">$193,939</td>
</tr>
<tr class="row-57">
	<td class="column-1">56</td><td class="column-2">San Antonio, TX</td><td class="column-3">$192,608</td>
</tr>
</tbody>
</table>
<!-- #tablepress-7686 from cache -->
<p>High <a href="https://www.visualcapitalist.com/mapped-years-of-income-needed-to-buy-a-home-by-state/" target="_blank" rel="noopener">housing costs</a> are the biggest driver behind these income requirements. California dominates the top of the ranking, with six cities appearing among the 10 most expensive places for families.</p>
<h2>The Northeast and Pacific Coast Remain Costly</h2>
<p> Boston, Arlington, New York, Seattle, Honolulu, and Washington, D.C. also rank among the most expensive cities.</p>
<p>These metro areas combine high housing costs with above-average expenses for transportation, childcare, and other necessities.</p>
<p>Many of these cities also offer <a href="https://www.visualcapitalist.com/mapped-where-americans-earn-the-most-per-hour-2026/" target="_blank" rel="noopener">higher wages</a> than the national average, but elevated living costs often offset those income gains.</p>
<h2>Southern Cities Offer Lower Income Thresholds</h2>
<p> The lowest income requirements are concentrated in the South.</p>
<p>San Antonio ranks last, requiring about $193,000 for a family of four to live comfortably, followed by Memphis, New Orleans, and Houston.</p>
<p>The ranking highlights how expensive “living comfortably” has become across the United States. Under the 50/30/20 budgeting framework, every metro area analyzed requires a six-figure household income, with the highest-cost cities demanding more than $400,000 per year.</p>
<h2>Learn More on the Voronoi App <img decoding="async" style="vertical-align: middle;" src="https://www.visualcapitalist.com/wp-content/uploads/2023/12/voronoi-icon-transparent.png" width="40px" /></h2>
<p> If you enjoyed today&#8217;s post, check out <a href="https://www.voronoiapp.com/real-estate/The-States-Where-Housing-Prices-Have-Surged-the-Most-20212026-8431" target="_blank" rel="noopener">The States Where Housing Prices Have Surged the Most (2021–2026)</a> on <strong>Voronoi</strong>.</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">201931</post-id><media:content url="https://www.visualcapitalist.com/wp-content/uploads/2026/07/family-income-needed-to-live-comfortably-us-cities.webp" medium="image" width="1200" height="675" />
<enclosure url="https://www.visualcapitalist.com/wp-content/uploads/2026/07/family-income-needed-to-live-comfortably-us-cities.webp" type="image/jpeg" length="87470" />	</item>
		<item>
		<title>Charted: How China Reshaped Global Oil Trade</title>
		<link>https://www.visualcapitalist.com/how-china-reshaped-global-oil-trade/</link>
		
		<dc:creator><![CDATA[Visual Capitalist]]></dc:creator>
		<pubDate>Fri, 03 Jul 2026 17:07:30 +0000</pubDate>
				<category><![CDATA[Trade]]></category>
		<category><![CDATA[Commodities]]></category>
		<category><![CDATA[China]]></category>
		<category><![CDATA[Oil and Gas]]></category>
		<category><![CDATA[Energy]]></category>
		<category><![CDATA[oil trade]]></category>
		<category><![CDATA[global economy]]></category>
		<category><![CDATA[crude oil]]></category>
		<category><![CDATA[commodities]]></category>
		<category><![CDATA[opec]]></category>
		<category><![CDATA[energy]]></category>
		<category><![CDATA[china]]></category>
		<guid isPermaLink="false">https://www.visualcapitalist.com/?p=201924</guid>

					<description><![CDATA[See how global crude oil trade has shifted since 1990, with China and India driving import growth and North America becoming a net exporter.]]></description>
										<content:encoded><![CDATA[<div class="rss-image"><p><a class="licensing-button" href="https://licensing.visualcapitalist.com/product/how-china-reshaped-global-oil-trade/" target="_blank">Use This Visualization</a></p>
</div><h2>Charted: How China Reshaped Global Oil Trade</h2>
<p><em>See visuals like this from many other data creators on our <a href="https://www.voronoiapp.com/" target="_blank" rel="noopener">Voronoi app</a>. Download it for free on <a href="https://apps.apple.com/ca/app/voronoi-app/id6447905904" target="_blank" rel="noopener">iOS</a> or <a href="https://play.google.com/store/apps/details?id=com.voronoi.organization.app&amp;pli=1" target="_blank" rel="noopener">Android</a> and discover incredible data-driven charts from a variety of trusted sources.</em></p>
<div class="key-takeaways">
<h3>Key Takeaways</h3>
<ul>
<li>China is now the world’s largest crude oil importer, with net imports reaching 11.5 million barrels per day in 2025.</li>
<li>North America has transformed from a major importer into a net exporter following the U.S. shale boom.</li>
<li>Despite shifting demand toward Asia, the Middle East remains the world’s largest crude oil exporting region.</li>
</ul>
</div>
<p>Over the past three decades, the geography of global crude oil trade has been fundamentally reshaped.</p>
<p>Rapid economic growth across Asia fueled a surge in oil demand, while advances in North American production altered long-established trade flows.</p>
<p>This visualization tracks net crude oil imports and exports by region from 1990 to 2025, using data from <a href="https://publications.opec.org/asb/chapter/show/154/2840/2845" target="_blank" rel="noopener">OPEC</a>, the U.S. Energy Information Administration (<a href="https://www.eia.gov/international/data/world" target="_blank" rel="noopener">EIA</a>), and the <a href="https://comtradeplus.un.org" target="_blank" rel="noopener">UN Comtrade Database</a>.</p>
<h2>Asia Has Become the Center of Global Oil Demand</h2>
<p>China experienced the largest change of any region in the dataset.</p>
<p>After importing almost no crude oil in the early 1990s, China’s net imports climbed to 11.5 million barrels per day in 2025, making it the <a href="https://www.energypolicy.columbia.edu/where-china-gets-its-oil-crude-imports-in-2025-reveal-stockpiling-and-changing-fortunes-of-certain-suppliers-including-those-sanctioned/" target="_blank" rel="noopener">world’s largest importer</a>.</p>

<table id="tablepress-7685" class="tablepress tablepress-id-7685">
<thead>
<tr class="row-1">
	<th class="column-1">Year</th><th class="column-2">Europe (Oil Imports, Mb/d) </th><th class="column-3">China</th><th class="column-4">India</th><th class="column-5">S. Korea</th><th class="column-6">Japan</th><th class="column-7">Rest of Asia Pacific</th>
</tr>
</thead>
<tbody class="row-striping row-hover">
<tr class="row-2">
	<td class="column-1">1990</td><td class="column-2">8.8</td><td class="column-3">—</td><td class="column-4">0.4</td><td class="column-5">0.8</td><td class="column-6">4.0</td><td class="column-7">0.8</td>
</tr>
<tr class="row-3">
	<td class="column-1">1991</td><td class="column-2">8.4</td><td class="column-3">—</td><td class="column-4">0.5</td><td class="column-5">1.1</td><td class="column-6">4.1</td><td class="column-7">0.6</td>
</tr>
<tr class="row-4">
	<td class="column-1">1992</td><td class="column-2">8.4</td><td class="column-3">—</td><td class="column-4">0.6</td><td class="column-5">1.4</td><td class="column-6">4.3</td><td class="column-7">0.9</td>
</tr>
<tr class="row-5">
	<td class="column-1">1993</td><td class="column-2">8.3</td><td class="column-3">—</td><td class="column-4">0.6</td><td class="column-5">1.5</td><td class="column-6">4.3</td><td class="column-7">1.1</td>
</tr>
<tr class="row-6">
	<td class="column-1">1994</td><td class="column-2">7.8</td><td class="column-3">—</td><td class="column-4">0.6</td><td class="column-5">1.6</td><td class="column-6">4.6</td><td class="column-7">1.2</td>
</tr>
<tr class="row-7">
	<td class="column-1">1995</td><td class="column-2">7.6</td><td class="column-3">—</td><td class="column-4">0.6</td><td class="column-5">1.7</td><td class="column-6">4.6</td><td class="column-7">1.5</td>
</tr>
<tr class="row-8">
	<td class="column-1">1996</td><td class="column-2">7.7</td><td class="column-3">0.0</td><td class="column-4">0.7</td><td class="column-5">2.0</td><td class="column-6">4.5</td><td class="column-7">1.9</td>
</tr>
<tr class="row-9">
	<td class="column-1">1997</td><td class="column-2">7.8</td><td class="column-3">0.3</td><td class="column-4">0.7</td><td class="column-5">2.4</td><td class="column-6">4.6</td><td class="column-7">2.0</td>
</tr>
<tr class="row-10">
	<td class="column-1">1998</td><td class="column-2">8.5</td><td class="column-3">0.2</td><td class="column-4">0.8</td><td class="column-5">2.3</td><td class="column-6">4.3</td><td class="column-7">1.9</td>
</tr>
<tr class="row-11">
	<td class="column-1">1999</td><td class="column-2">7.6</td><td class="column-3">0.6</td><td class="column-4">1.2</td><td class="column-5">2.4</td><td class="column-6">4.2</td><td class="column-7">1.7</td>
</tr>
<tr class="row-12">
	<td class="column-1">2000</td><td class="column-2">7.6</td><td class="column-3">1.2</td><td class="column-4">1.5</td><td class="column-5">2.5</td><td class="column-6">4.3</td><td class="column-7">1.8</td>
</tr>
<tr class="row-13">
	<td class="column-1">2001</td><td class="column-2">7.8</td><td class="column-3">1.1</td><td class="column-4">1.6</td><td class="column-5">2.4</td><td class="column-6">4.2</td><td class="column-7">1.9</td>
</tr>
<tr class="row-14">
	<td class="column-1">2002</td><td class="column-2">7.7</td><td class="column-3">1.2</td><td class="column-4">1.7</td><td class="column-5">2.2</td><td class="column-6">4.1</td><td class="column-7">2.0</td>
</tr>
<tr class="row-15">
	<td class="column-1">2003</td><td class="column-2">8.4</td><td class="column-3">1.7</td><td class="column-4">1.8</td><td class="column-5">2.2</td><td class="column-6">4.2</td><td class="column-7">1.9</td>
</tr>
<tr class="row-16">
	<td class="column-1">2004</td><td class="column-2">9.1</td><td class="column-3">2.4</td><td class="column-4">1.9</td><td class="column-5">2.3</td><td class="column-6">4.0</td><td class="column-7">2.2</td>
</tr>
<tr class="row-17">
	<td class="column-1">2005</td><td class="column-2">9.6</td><td class="column-3">2.4</td><td class="column-4">1.9</td><td class="column-5">2.4</td><td class="column-6">4.2</td><td class="column-7">2.6</td>
</tr>
<tr class="row-18">
	<td class="column-1">2006</td><td class="column-2">9.7</td><td class="column-3">2.8</td><td class="column-4">2.2</td><td class="column-5">2.5</td><td class="column-6">4.1</td><td class="column-7">2.6</td>
</tr>
<tr class="row-19">
	<td class="column-1">2007</td><td class="column-2">9.7</td><td class="column-3">3.2</td><td class="column-4">2.4</td><td class="column-5">2.4</td><td class="column-6">4.0</td><td class="column-7">2.7</td>
</tr>
<tr class="row-20">
	<td class="column-1">2008</td><td class="column-2">10.2</td><td class="column-3">3.5</td><td class="column-4">2.6</td><td class="column-5">2.3</td><td class="column-6">4.0</td><td class="column-7">2.5</td>
</tr>
<tr class="row-21">
	<td class="column-1">2009</td><td class="column-2">9.0</td><td class="column-3">4.0</td><td class="column-4">2.6</td><td class="column-5">2.3</td><td class="column-6">3.4</td><td class="column-7">2.3</td>
</tr>
<tr class="row-22">
	<td class="column-1">2010</td><td class="column-2">9.3</td><td class="column-3">4.7</td><td class="column-4">2.8</td><td class="column-5">2.4</td><td class="column-6">3.5</td><td class="column-7">2.6</td>
</tr>
<tr class="row-23">
	<td class="column-1">2011</td><td class="column-2">9.3</td><td class="column-3">5.0</td><td class="column-4">3.4</td><td class="column-5">2.5</td><td class="column-6">3.5</td><td class="column-7">2.8</td>
</tr>
<tr class="row-24">
	<td class="column-1">2012</td><td class="column-2">9.6</td><td class="column-3">5.4</td><td class="column-4">3.7</td><td class="column-5">2.6</td><td class="column-6">3.5</td><td class="column-7">3.2</td>
</tr>
<tr class="row-25">
	<td class="column-1">2013</td><td class="column-2">9.2</td><td class="column-3">5.6</td><td class="column-4">3.8</td><td class="column-5">2.5</td><td class="column-6">3.4</td><td class="column-7">3.1</td>
</tr>
<tr class="row-26">
	<td class="column-1">2014</td><td class="column-2">9.1</td><td class="column-3">6.2</td><td class="column-4">3.8</td><td class="column-5">2.5</td><td class="column-6">3.2</td><td class="column-7">3.1</td>
</tr>
<tr class="row-27">
	<td class="column-1">2015</td><td class="column-2">9.8</td><td class="column-3">6.7</td><td class="column-4">3.9</td><td class="column-5">2.8</td><td class="column-6">3.2</td><td class="column-7">2.9</td>
</tr>
<tr class="row-28">
	<td class="column-1">2016</td><td class="column-2">9.5</td><td class="column-3">7.6</td><td class="column-4">4.3</td><td class="column-5">2.9</td><td class="column-6">3.2</td><td class="column-7">3.0</td>
</tr>
<tr class="row-29">
	<td class="column-1">2017</td><td class="column-2">10</td><td class="column-3">8.3</td><td class="column-4">4.3</td><td class="column-5">3.0</td><td class="column-6">3.2</td><td class="column-7">3.2</td>
</tr>
<tr class="row-30">
	<td class="column-1">2018</td><td class="column-2">9.7</td><td class="column-3">9.2</td><td class="column-4">4.5</td><td class="column-5">3.0</td><td class="column-6">3.1</td><td class="column-7">3.3</td>
</tr>
<tr class="row-31">
	<td class="column-1">2019</td><td class="column-2">9.8</td><td class="column-3">10.2</td><td class="column-4">4.5</td><td class="column-5">2.9</td><td class="column-6">3.0</td><td class="column-7">3.3</td>
</tr>
<tr class="row-32">
	<td class="column-1">2020</td><td class="column-2">8.1</td><td class="column-3">10.8</td><td class="column-4">4.0</td><td class="column-5">2.7</td><td class="column-6">2.5</td><td class="column-7">2.8</td>
</tr>
<tr class="row-33">
	<td class="column-1">2021</td><td class="column-2">8.3</td><td class="column-3">10.2</td><td class="column-4">4.2</td><td class="column-5">2.6</td><td class="column-6">2.5</td><td class="column-7">2.9</td>
</tr>
<tr class="row-34">
	<td class="column-1">2022</td><td class="column-2">9.2</td><td class="column-3">10.1</td><td class="column-4">4.6</td><td class="column-5">2.8</td><td class="column-6">2.7</td><td class="column-7">3.4</td>
</tr>
<tr class="row-35">
	<td class="column-1">2023</td><td class="column-2">8.9</td><td class="column-3">11.3</td><td class="column-4">4.7</td><td class="column-5">2.7</td><td class="column-6">2.5</td><td class="column-7">3.5</td>
</tr>
<tr class="row-36">
	<td class="column-1">2024</td><td class="column-2">8.9</td><td class="column-3">11.0</td><td class="column-4">4.8</td><td class="column-5">2.8</td><td class="column-6">2.3</td><td class="column-7">3.5</td>
</tr>
</tbody>
<tfoot>
<tr class="row-37">
	<th class="column-1">2025</th><th class="column-2">8.7</th><th class="column-3">11.5</th><th class="column-4">5.0</th><th class="column-5">2.8</th><th class="column-6">2.4</th><th class="column-7">3.7</th>
</tr>
</tfoot>
</table>
<!-- #tablepress-7685 from cache -->
<p>India also saw rapid growth, with imports rising from 0.8 to 5.0 million barrels per day over the same period.</p>
<p>Together, China and India have become the primary drivers of global crude oil demand growth.</p>
<h2>North America&#8217;s Energy Revolution</h2>
<p>In the early 1990s, North America was a significant net importer of crude oil. By 2019, however, the region had become a net exporter, reaching 2.5 million barrels per day by 2025.</p>

<table id="tablepress-7684" class="tablepress tablepress-id-7684">
<thead>
<tr class="row-1">
	<th class="column-1">Year</th><th class="column-2">Middle East (Oil Exports - Mb/d)</th><th class="column-3">CIS</th><th class="column-4">Africa</th><th class="column-5">South &amp; Central America</th><th class="column-6">North America</th>
</tr>
</thead>
<tbody class="row-striping row-hover">
<tr class="row-2">
	<td class="column-1">1990</td><td class="column-2">11.6</td><td class="column-3">2.1</td><td class="column-4">3.8</td><td class="column-5">0.2</td><td class="column-6">—</td>
</tr>
<tr class="row-3">
	<td class="column-1">1991</td><td class="column-2">12.2</td><td class="column-3">1.4</td><td class="column-4">4.1</td><td class="column-5">0.4</td><td class="column-6">—</td>
</tr>
<tr class="row-4">
	<td class="column-1">1992</td><td class="column-2">13.0</td><td class="column-3">1.6</td><td class="column-4">4.0</td><td class="column-5">0.4</td><td class="column-6">—</td>
</tr>
<tr class="row-5">
	<td class="column-1">1993</td><td class="column-2">13.6</td><td class="column-3">1.7</td><td class="column-4">3.9</td><td class="column-5">0.6</td><td class="column-6">—</td>
</tr>
<tr class="row-6">
	<td class="column-1">1994</td><td class="column-2">13.5</td><td class="column-3">2.0</td><td class="column-4">4.0</td><td class="column-5">0.8</td><td class="column-6">—</td>
</tr>
<tr class="row-7">
	<td class="column-1">1995</td><td class="column-2">13.5</td><td class="column-3">2.0</td><td class="column-4">4.1</td><td class="column-5">1.2</td><td class="column-6">—</td>
</tr>
<tr class="row-8">
	<td class="column-1">1996</td><td class="column-2">13.4</td><td class="column-3">2.2</td><td class="column-4">4.3</td><td class="column-5">1.3</td><td class="column-6">—</td>
</tr>
<tr class="row-9">
	<td class="column-1">1997</td><td class="column-2">14.1</td><td class="column-3">2.4</td><td class="column-4">4.4</td><td class="column-5">1.5</td><td class="column-6">—</td>
</tr>
<tr class="row-10">
	<td class="column-1">1998</td><td class="column-2">15.2</td><td class="column-3">2.6</td><td class="column-4">4.7</td><td class="column-5">1.6</td><td class="column-6">—</td>
</tr>
<tr class="row-11">
	<td class="column-1">1999</td><td class="column-2">14.7</td><td class="column-3">2.8</td><td class="column-4">4.3</td><td class="column-5">1.4</td><td class="column-6">—</td>
</tr>
<tr class="row-12">
	<td class="column-1">2000</td><td class="column-2">15.6</td><td class="column-3">3.3</td><td class="column-4">4.6</td><td class="column-5">1.5</td><td class="column-6">—</td>
</tr>
<tr class="row-13">
	<td class="column-1">2001</td><td class="column-2">14.7</td><td class="column-3">3.4</td><td class="column-4">4.5</td><td class="column-5">1.5</td><td class="column-6">—</td>
</tr>
<tr class="row-14">
	<td class="column-1">2002</td><td class="column-2">13.4</td><td class="column-3">4.0</td><td class="column-4">4.6</td><td class="column-5">1.1</td><td class="column-6">—</td>
</tr>
<tr class="row-15">
	<td class="column-1">2003</td><td class="column-2">14.1</td><td class="column-3">4.6</td><td class="column-4">5.2</td><td class="column-5">1.0</td><td class="column-6">—</td>
</tr>
<tr class="row-16">
	<td class="column-1">2004</td><td class="column-2">15.9</td><td class="column-3">5.2</td><td class="column-4">5.9</td><td class="column-5">1.0</td><td class="column-6">—</td>
</tr>
<tr class="row-17">
	<td class="column-1">2005</td><td class="column-2">16.5</td><td class="column-3">5.6</td><td class="column-4">5.9</td><td class="column-5">1.8</td><td class="column-6">—</td>
</tr>
<tr class="row-18">
	<td class="column-1">2006</td><td class="column-2">16.4</td><td class="column-3">5.8</td><td class="column-4">5.9</td><td class="column-5">1.3</td><td class="column-6">—</td>
</tr>
<tr class="row-19">
	<td class="column-1">2007</td><td class="column-2">16.2</td><td class="column-3">6.1</td><td class="column-4">6.5</td><td class="column-5">1.5</td><td class="column-6">—</td>
</tr>
<tr class="row-20">
	<td class="column-1">2008</td><td class="column-2">17.0</td><td class="column-3">6.3</td><td class="column-4">5.8</td><td class="column-5">1.4</td><td class="column-6">—</td>
</tr>
<tr class="row-21">
	<td class="column-1">2009</td><td class="column-2">14.9</td><td class="column-3">6.4</td><td class="column-4">6.5</td><td class="column-5">1.4</td><td class="column-6">—</td>
</tr>
<tr class="row-22">
	<td class="column-1">2010</td><td class="column-2">15.6</td><td class="column-3">6.5</td><td class="column-4">6.7</td><td class="column-5">1.8</td><td class="column-6">—</td>
</tr>
<tr class="row-23">
	<td class="column-1">2011</td><td class="column-2">17.4</td><td class="column-3">6.2</td><td class="column-4">5.6</td><td class="column-5">2.0</td><td class="column-6">—</td>
</tr>
<tr class="row-24">
	<td class="column-1">2012</td><td class="column-2">17.7</td><td class="column-3">6.2</td><td class="column-4">6.4</td><td class="column-5">2.3</td><td class="column-6">—</td>
</tr>
<tr class="row-25">
	<td class="column-1">2013</td><td class="column-2">17.1</td><td class="column-3">6.1</td><td class="column-4">5.9</td><td class="column-5">2.0</td><td class="column-6">—</td>
</tr>
<tr class="row-26">
	<td class="column-1">2014</td><td class="column-2">16.4</td><td class="column-3">6.0</td><td class="column-4">5.1</td><td class="column-5">2.7</td><td class="column-6">—</td>
</tr>
<tr class="row-27">
	<td class="column-1">2015</td><td class="column-2">16.6</td><td class="column-3">6.4</td><td class="column-4">5.3</td><td class="column-5">3.0</td><td class="column-6">—</td>
</tr>
<tr class="row-28">
	<td class="column-1">2016</td><td class="column-2">18.9</td><td class="column-3">6.6</td><td class="column-4">4.9</td><td class="column-5">3.0</td><td class="column-6">—</td>
</tr>
<tr class="row-29">
	<td class="column-1">2017</td><td class="column-2">18.3</td><td class="column-3">6.7</td><td class="column-4">5.3</td><td class="column-5">3.0</td><td class="column-6">—</td>
</tr>
<tr class="row-30">
	<td class="column-1">2018</td><td class="column-2">18.5</td><td class="column-3">6.9</td><td class="column-4">5.5</td><td class="column-5">2.6</td><td class="column-6">—</td>
</tr>
<tr class="row-31">
	<td class="column-1">2019</td><td class="column-2">17.1</td><td class="column-3">6.9</td><td class="column-4">5.5</td><td class="column-5">2.5</td><td class="column-6">0.4</td>
</tr>
<tr class="row-32">
	<td class="column-1">2020</td><td class="column-2">15.8</td><td class="column-3">6.2</td><td class="column-4">4.4</td><td class="column-5">2.4</td><td class="column-6">1.6</td>
</tr>
<tr class="row-33">
	<td class="column-1">2021</td><td class="column-2">15.5</td><td class="column-3">6.0</td><td class="column-4">4.9</td><td class="column-5">2.0</td><td class="column-6">1.4</td>
</tr>
<tr class="row-34">
	<td class="column-1">2022</td><td class="column-2">17.7</td><td class="column-3">6.3</td><td class="column-4">4.5</td><td class="column-5">2.2</td><td class="column-6">1.8</td>
</tr>
<tr class="row-35">
	<td class="column-1">2023</td><td class="column-2">16.6</td><td class="column-3">6.2</td><td class="column-4">4.7</td><td class="column-5">2.7</td><td class="column-6">2.4</td>
</tr>
<tr class="row-36">
	<td class="column-1">2024</td><td class="column-2">15.7</td><td class="column-3">6.1</td><td class="column-4">4.6</td><td class="column-5">3.1</td><td class="column-6">2.2</td>
</tr>
</tbody>
<tfoot>
<tr class="row-37">
	<th class="column-1">2025</th><th class="column-2">16.3</th><th class="column-3">6.2</th><th class="column-4">4.6</th><th class="column-5">3.7</th><th class="column-6">2.5</th>
</tr>
</tfoot>
</table>
<!-- #tablepress-7684 from cache -->
<p>The shift was largely driven by the U.S. <a href="https://www.visualcapitalist.com/sp/sc01-shale-crescent-usa-a-world-class-manufacturing-region/" target="_blank" rel="noopener">shale revolution</a>, which increased domestic oil production.</p>
<p>Combined with growing exports from Canada, North America has become an increasingly important supplier to global markets.</p>
<h2>The Middle East Remains the World&#8217;s Export Hub</h2>
<p>Even as oil demand has shifted toward Asia, the Middle East remains the <a href="https://www.visualcapitalist.com/countries-depend-on-middle-east-oil/" target="_blank" rel="noopener">dominant</a> crude oil exporting region.</p>
<p>Net exports stood at 16.3 million barrels per day in 2025, far exceeding those of the CIS and Africa.</p>
<h2>Learn More on the Voronoi App <img decoding="async" style="vertical-align: middle;" src="https://www.visualcapitalist.com/wp-content/uploads/2023/12/voronoi-icon-transparent.png" width="40px" /></h2>
<p>If you enjoyed today&#8217;s post, check out <a href="https://www.voronoiapp.com/energy/Charted-The-Worlds-Biggest-Oil-Producers-5526" target="_blank" rel="noopener">Charted: The World’s Biggest Oil Producers</a> on <strong>Voronoi</strong>.</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">201924</post-id><media:content url="https://www.visualcapitalist.com/wp-content/uploads/2026/07/oil-importers-shareable.webp" medium="image" width="1200" height="675" />
<enclosure url="https://www.visualcapitalist.com/wp-content/uploads/2026/07/oil-importers-shareable.webp" type="image/jpeg" length="33086" />	</item>
		<item>
		<title>How the World&#8217;s Biggest Economies Trade With the U.S. and China</title>
		<link>https://www.visualcapitalist.com/cp/how-worlds-biggest-economies-trade-with-usa-and-china/</link>
		
		<dc:creator><![CDATA[Srijaa Chatterjee]]></dc:creator>
		<pubDate>Fri, 03 Jul 2026 15:19:23 +0000</pubDate>
				<category><![CDATA[Trade]]></category>
		<category><![CDATA[United States]]></category>
		<category><![CDATA[China]]></category>
		<category><![CDATA[bilateral trade]]></category>
		<category><![CDATA[united states]]></category>
		<category><![CDATA[china]]></category>
		<guid isPermaLink="false">https://www.visualcapitalist.com/?post_type=cp&#038;p=199939</guid>

					<description><![CDATA[China exports to the world. America imports from it. Explore the global trade divide between the two superpowers.]]></description>
										<content:encoded><![CDATA[<h2>How the World&#8217;s Biggest Economies Trade With the U.S. and China</h2>
<p><em>This was originally posted on our <a href="https://www.voronoiapp.com/trade/Trade-Balances-With-the-US-and-China-Among-40-Largest-Economies-8288" target="_blank" rel="noopener">Voronoi app</a>. Download the app for free on <a href="https://apps.apple.com/ca/app/voronoi-app/id6447905904" target="_blank" rel="noopener">iOS</a> or <a href="https://play.google.com/store/apps/details?id=com.voronoi.organization.app&amp;pli=1" target="_blank" rel="noopener">Android</a> and discover incredible data-driven charts from a variety of trusted sources.</em></p>
<div class="key-takeaways">
<h3>Key Takeaways:</h3>
<ul>
<li>Most of the world&#8217;s largest economies run a trade surplus with the U.S. while importing more from China, reflecting America&#8217;s role as a consumer market and China&#8217;s position as a manufacturing powerhouse.</li>
<li>Taiwan and Ireland stand out by posting trade surpluses with both the U.S. and China, driven by semiconductors and pharmaceuticals, respectively.</li>
<li>Vietnam records the largest surplus with the U.S. relative to GDP, highlighting its growing role in global supply chains.</li>
</ul>
</div>
<p>Trade flows often reveal relationships that GDP alone cannot. </p>
<p>This visualization, created by <strong>Iswardi Ishak</strong>, charts trade balances with both the U.S. and China across the world&#8217;s 40 largest economies, showing which countries depend on American consumers, Chinese manufacturing, or both.</p>
<p>Using bilateral trade data from <a href="https://www.trademap.org/Bilateral_TS.aspx?nvpm=1%7c036%7c%7c842%7c%7cTOTAL%7c%7c%7c2%7c1%7c1%7c3%7c2%7c1%7c1%7c1%7c1%7c1" target="_blank" rel="noopener">Trade Map</a>, the chart highlights several distinct patterns, from export hubs like Vietnam and Taiwan to commodity suppliers such as Australia and Brazil. Together, they show how countries occupy very different positions within today&#8217;s global trading system.</p>
<h2>Trade Balances Between Major Economies</h2>
<p>Here’s a look at trade balances with the U.S. and China among the world’s largest economies:</p>

<table id="tablepress-7506" class="tablepress tablepress-id-7506">
<thead>
<tr class="row-1">
	<th class="column-1">Country</th><th class="column-2">Nominal GDP ($B)</th><th class="column-3">Trade Balance with <br />
U.S. as % of GDP</th><th class="column-4">Trade Balance with <br />
China as % of GDP</th>
</tr>
</thead>
<tbody class="row-striping row-hover">
<tr class="row-2">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e6-1f1f7.png" alt="🇦🇷" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Argentina</td><td class="column-2">637.2</td><td class="column-3">0.04%</td><td class="column-4">-0.89%</td>
</tr>
<tr class="row-3">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e6-1f1fa.png" alt="🇦🇺" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Australia</td><td class="column-2">1,800</td><td class="column-3">-1.01%</td><td class="column-4">1.78%</td>
</tr>
<tr class="row-4">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e6-1f1f9.png" alt="🇦🇹" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Austria</td><td class="column-2">534.6</td><td class="column-3">2.31%</td><td class="column-4">-0.18%</td>
</tr>
<tr class="row-5">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e7-1f1e9.png" alt="🇧🇩" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Bangladesh</td><td class="column-2">450.5</td><td class="column-3">1.35%</td><td class="column-4">-4.82%</td>
</tr>
<tr class="row-6">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e7-1f1ea.png" alt="🇧🇪" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Belgium</td><td class="column-2">671.7</td><td class="column-3">0.37%</td><td class="column-4">-3.96%</td>
</tr>
<tr class="row-7">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e7-1f1f7.png" alt="🇧🇷" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Brazil</td><td class="column-2">2,190</td><td class="column-3">-0.03%</td><td class="column-4">1.40%</td>
</tr>
<tr class="row-8">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e8-1f1e6.png" alt="🇨🇦" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Canada</td><td class="column-2">2,270</td><td class="column-3">7.08%</td><td class="column-4">-1.86%</td>
</tr>
<tr class="row-9">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e8-1f1f4.png" alt="🇨🇴" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Colombia</td><td class="column-2">420.5</td><td class="column-3">-0.40%</td><td class="column-4">-3.22%</td>
</tr>
<tr class="row-10">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e8-1f1ff.png" alt="🇨🇿" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Czech Republic</td><td class="column-2">347.1</td><td class="column-3">0.13%</td><td class="column-4">-10.35%</td>
</tr>
<tr class="row-11">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e9-1f1f0.png" alt="🇩🇰" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Denmark</td><td class="column-2">424.5</td><td class="column-3">0.08%</td><td class="column-4">-1.38%</td>
</tr>
<tr class="row-12">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1eb-1f1f7.png" alt="🇫🇷" class="wp-smiley" style="height: 1em; max-height: 1em;" /> France</td><td class="column-2">3,160</td><td class="column-3">-0.18%</td><td class="column-4">-1.59%</td>
</tr>
<tr class="row-13">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e9-1f1ea.png" alt="🇩🇪" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Germany</td><td class="column-2">4,680</td><td class="column-3">1.67%</td><td class="column-4">-1.55%</td>
</tr>
<tr class="row-14">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ee-1f1f3.png" alt="🇮🇳" class="wp-smiley" style="height: 1em; max-height: 1em;" /> India</td><td class="column-2">3,760</td><td class="column-3">0.94%</td><td class="column-4">-2.51%</td>
</tr>
<tr class="row-15">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ee-1f1e9.png" alt="🇮🇩" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Indonesia</td><td class="column-2">1,400</td><td class="column-3">1.03%</td><td class="column-4">-0.74%</td>
</tr>
<tr class="row-16">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ee-1f1ea.png" alt="🇮🇪" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Ireland</td><td class="column-2">609.0</td><td class="column-3">9.10%</td><td class="column-4">0.01%</td>
</tr>
<tr class="row-17">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ee-1f1f1.png" alt="🇮🇱" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Israel</td><td class="column-2">542.3</td><td class="column-3">1.46%</td><td class="column-4">-1.97%</td>
</tr>
<tr class="row-18">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ee-1f1f9.png" alt="🇮🇹" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Italy</td><td class="column-2">2380</td><td class="column-3">1.71%</td><td class="column-4">-1.62%</td>
</tr>
<tr class="row-19">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ef-1f1f5.png" alt="🇯🇵" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Japan</td><td class="column-2">4190</td><td class="column-3">1.35%</td><td class="column-4">-1.02%</td>
</tr>
<tr class="row-20">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f2-1f1fe.png" alt="🇲🇾" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Malaysia</td><td class="column-2">422.2</td><td class="column-3">3.76%</td><td class="column-4">-5.64%</td>
</tr>
<tr class="row-21">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f2-1f1fd.png" alt="🇲🇽" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Mexico</td><td class="column-2">1830</td><td class="column-3">13.15%</td><td class="column-4">-6.58%</td>
</tr>
<tr class="row-22">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f3-1f1f1.png" alt="🇳🇱" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Netherlands</td><td class="column-2">1210</td><td class="column-3">-1.97%</td><td class="column-4">-2.57%</td>
</tr>
<tr class="row-23">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f3-1f1f4.png" alt="🇳🇴" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Norway</td><td class="column-2">500.9</td><td class="column-3">-0.38%</td><td class="column-4">-1.60%</td>
</tr>
<tr class="row-24">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f5-1f1f0.png" alt="🇵🇰" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Pakistan</td><td class="column-2">372.2</td><td class="column-3">1.08%</td><td class="column-4">-3.66%</td>
</tr>
<tr class="row-25">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f5-1f1ed.png" alt="🇵🇭" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Philippines</td><td class="column-2">461.6</td><td class="column-3">0.71%</td><td class="column-4">-5.43%</td>
</tr>
<tr class="row-26">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f5-1f1f1.png" alt="🇵🇱" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Poland</td><td class="column-2">917.6</td><td class="column-3">0.06%</td><td class="column-4">-3.66%</td>
</tr>
<tr class="row-27">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f7-1f1f4.png" alt="🇷🇴" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Romania</td><td class="column-2">382.7</td><td class="column-3">0.28%</td><td class="column-4">-2.02%</td>
</tr>
<tr class="row-28">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f7-1f1fa.png" alt="🇷🇺" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Russia</td><td class="column-2">2190</td><td class="column-3">0.11%</td><td class="column-4">0.63%</td>
</tr>
<tr class="row-29">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f8-1f1e6.png" alt="🇸🇦" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Saudi Arabia</td><td class="column-2">1250</td><td class="column-3">-0.54%</td><td class="column-4">-0.71%</td>
</tr>
<tr class="row-30">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f8-1f1ec.png" alt="🇸🇬" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Singapore</td><td class="column-2">572.9</td><td class="column-3">-2.05%</td><td class="column-4">2.44%</td>
</tr>
<tr class="row-31">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ff-1f1e6.png" alt="🇿🇦" class="wp-smiley" style="height: 1em; max-height: 1em;" /> South Africa</td><td class="column-2">401.1</td><td class="column-3">0.31%</td><td class="column-4">-2.33%</td>
</tr>
<tr class="row-32">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f0-1f1f7.png" alt="🇰🇷" class="wp-smiley" style="height: 1em; max-height: 1em;" /> South Korea</td><td class="column-2">1,880</td><td class="column-3">2.98%</td><td class="column-4">-0.36%</td>
</tr>
<tr class="row-33">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ea-1f1f8.png" alt="🇪🇸" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Spain</td><td class="column-2">1,730</td><td class="column-3">-0.63%</td><td class="column-4">-2.25%</td>
</tr>
<tr class="row-34">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f8-1f1ea.png" alt="🇸🇪" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Sweden</td><td class="column-2">604.8</td><td class="column-3">1.66%</td><td class="column-4">-0.67%</td>
</tr>
<tr class="row-35">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e8-1f1ed.png" alt="🇨🇭" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Switzerland</td><td class="column-2">970.2</td><td class="column-3">4.57%</td><td class="column-4">2.28%</td>
</tr>
<tr class="row-36">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f9-1f1fc.png" alt="🇹🇼" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Taiwan</td><td class="column-2">801.5</td><td class="column-3">8.08%</td><td class="column-4">2.20%</td>
</tr>
<tr class="row-37">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f9-1f1ed.png" alt="🇹🇭" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Thailand</td><td class="column-2">529.4</td><td class="column-3">6.59%</td><td class="column-4">-8.70%</td>
</tr>
<tr class="row-38">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1f9-1f1f7.png" alt="🇹🇷" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Turkey</td><td class="column-2">1,360</td><td class="column-3">0.01%</td><td class="column-4">-3.05%</td>
</tr>
<tr class="row-39">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1e6-1f1ea.png" alt="🇦🇪" class="wp-smiley" style="height: 1em; max-height: 1em;" /> United Arab Emirates</td><td class="column-2">552.3</td><td class="column-3">-2.66%</td><td class="column-4">-11.27%</td>
</tr>
<tr class="row-40">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1ec-1f1e7.png" alt="🇬🇧" class="wp-smiley" style="height: 1em; max-height: 1em;" /> United Kingdom</td><td class="column-2">3,700</td><td class="column-3">-0.60%</td><td class="column-4">-1.40%</td>
</tr>
<tr class="row-41">
	<td class="column-1"><img src="https://s.w.org/images/core/emoji/16.0.1/72x72/1f1fb-1f1f3.png" alt="🇻🇳" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Vietnam</td><td class="column-2">459.5</td><td class="column-3">22.76%</td><td class="column-4">-18.09%</td>
</tr>
</tbody>
</table>
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<p>Rather than splitting into two competing blocs, many economies occupy a middle ground. A common pattern is running a trade surplus with the U.S. while importing more from China, reflecting America&#8217;s role as a destination for finished goods and China&#8217;s role as a supplier of manufactured inputs. </p>
<p>A smaller group, including Taiwan and Ireland, maintains trade surpluses with both economies through high-value exports.</p>
<h2>China Sits at the Center of Global Supply Chains</h2>
<p>China records trade surpluses with most of the world&#8217;s largest economies, underscoring its position as one of the world&#8217;s key manufacturing hubs. According to the <a href="https://oec.world/en/profile/bilateral-country/chn/partner/usa">Observatory of Economic Complexity</a>, Chinese exports to the U.S. alone span everything from electronics and machinery to consumer goods and industrial components.</p>
<p>That helps explain why many countries simultaneously export heavily to the U.S. while importing from China. Rather than competing directly, the two economies often occupy different stages of global supply chains.</p>
<p>Even as some multinational firms pursue “China plus one” strategies to diversify manufacturing, China remains deeply embedded in global trade networks.</p>
<h2>The U.S. Remains the World’s Biggest Buyer</h2>
<p>On the other side of the equation, the U.S. continues to post persistent trade deficits with many major economies. America imports vast quantities of manufactured goods, consumer electronics, vehicles, and industrial products from overseas.</p>
<p>The imbalance has long been a source of political tension in Washington. According to the <a href="https://www.cfr.org/backgrounder/contentious-us-china-trade-relationship" target="_blank" rel="noopener">Council on Foreign Relations</a>, disputes over tariffs, industrial subsidies, intellectual property, and technology access have fueled years of friction between the two superpowers.</p>
<p>The contrast between the two systems is striking: China produces and exports at scale, while the U.S. consumes and imports at scale. That imbalance has become a central issue in debates over economic resilience and domestic manufacturing.</p>
<h2>Why These Trade Patterns Matter</h2>
<p>Trade balances have become increasingly important as governments seek to strengthen domestic manufacturing and reduce supply chain risks. Tariffs, export controls, and industrial subsidies have all reshaped trade policy in recent years, yet the chart shows that many countries remain deeply integrated with both the U.S. and China.</p>
<p>Global trade has adapted rather than split into separate economic blocs. Many countries still rely on Chinese supply chains, American consumers, or both, even as policymakers push for more resilient and diversified trade relationships.</p>
<p>However, both economies remain deeply <a href="https://www.visualcapitalist.com/what-china-and-the-us-import-from-each-other/">dependent</a> on bilateral trade despite years of political tensions.</p>
<h2>Learn More on the Voronoi App <img decoding="async" style="vertical-align: middle;" src="https://www.visualcapitalist.com/wp-content/uploads/2023/12/voronoi-icon-transparent.png" width="40px" /></h2>
<p>To learn more about how countries build global trade networks, check out <a href="https://www.voronoiapp.com/economy/Number-of-Trade-Agreements-Across-30-Economies-7106" target="_blank" rel="noopener">Number of Trade Agreements Across 30 Economies</a> on the Voronoi app.</p>
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