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	<title>Animals - Vivid Maps</title>
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	<title>Animals - Vivid Maps</title>
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		<title>A Shark&#8217;s Secret Hideaway: Exploring the White Shark Café on the Map</title>
		<link>https://vividmaps.com/white-shark-cafe/</link>
					<comments>https://vividmaps.com/white-shark-cafe/#respond</comments>
		
		<dc:creator><![CDATA[Alex]]></dc:creator>
		<pubDate>Sat, 27 Jan 2024 16:51:00 +0000</pubDate>
				<category><![CDATA[Animals]]></category>
		<category><![CDATA[Pacific Ocean]]></category>
		<guid isPermaLink="false">https://vividmaps.com/?p=39207</guid>

					<description><![CDATA[<p>Hidden in the middle of the Pacific lies the White Shark Café, a surprising winter and spring gathering place for great white sharks. Explore its location and learn what makes this habitat so special for these apex predators.</p>
<p>The post <a href="https://vividmaps.com/white-shark-cafe/">A Shark&#8217;s Secret Hideaway: Exploring the White Shark Café on the Map</a> appeared first on <a href="https://vividmaps.com">Vivid Maps</a>.</p>
]]></description>
										<content:encoded><![CDATA[
<p class="wp-block-paragraph"><a href="https://www.nationalgeographic.com/animals/fish/facts/great-white-shark" target="_blank" rel="noreferrer noopener">Great white sharks</a> have long captured the imagination and fear of people, thanks to their apex predator status and their association with rare but high-profile shark attacks on humans. While the likelihood of encountering one is minimal, their size, power, and hunting efficiency make them a species of fascination—and caution.</p>



<p class="wp-block-paragraph">Now imagine a seemingly barren patch of the Pacific Ocean transforming into a hub for these giants of the deep. That’s exactly what happens at the White Shark Café, a remote area halfway between Baja California and Hawaii. This unique location is a migratory hub for great white sharks, and researchers have been uncovering its mysteries for decades.</p>



<figure class="wp-block-image size-full"><img fetchpriority="high" decoding="async" width="633" height="505" src="https://vividmaps.com/wp-content/uploads/2025/01/white-shark-cafe-map.png" alt="White shark cafe map" class="wp-image-39208" srcset="https://vividmaps.com/wp-content/uploads/2025/01/white-shark-cafe-map.png 633w, https://vividmaps.com/wp-content/uploads/2025/01/white-shark-cafe-map-300x239.png 300w" sizes="(max-width: 633px) 100vw, 633px" /></figure>



<p class="wp-block-paragraph">Located about 2,500 kilometers (1,553 miles) west of Baja California and 2,500 kilometers (1,553 miles) east of Hawaii, the White Shark Café spans a 250-kilometer (155-mile) radius. Originally thought to be a &#8220;desert&#8221; in the ocean, this area has since been found to host a thriving <a href="https://www.npr.org/sections/thetwo-way/2018/05/28/613394086/great-white-sharks-have-a-secret-cafe-and-they-led-scientists-right-to-it">deep-sea food chain</a> that supports these sharks during their migration.</p>



<p class="wp-block-paragraph">Research led by<a href="https://www.latimes.com/archives/la-xpm-2006-sep-29-sp-outdoors29-story.html" target="_blank" rel="noreferrer noopener"> Stanford University</a> in 2002 revealed that sharks from coastal feeding grounds—like those near California and Guadalupe Island—travel for about 100 days at speeds of 1 meter per second to reach the Café. While there, the sharks perform frequent dives to depths of up to 460 meters (1,500 feet) every 10 minutes, with some dives during migration reaching a staggering 914 meters (3,000 feet).</p>



<p class="wp-block-paragraph">But why do these sharks undertake such an extraordinary journey? Researchers suggest two main reasons: access to abundant food and, possibly, mating.</p>



<p class="wp-block-paragraph">The consistent migration pattern—leaving coastal feeding grounds in winter, staying at the Café through spring, and returning in the fall—aligns with the breeding season of elephant seals, a key prey species. This seasonal behavior highlights the importance of the Café in the sharks’ lifecycle.</p>



<p class="wp-block-paragraph">The White Shark Café not only underscores the complexity of marine ecosystems but also reminds us of the delicate balance required to protect these apex predators and their habitats. Would you explore this area—even if only virtually through maps? Share your thoughts below!</p>
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		<title>The Best National Parks In The United States For Wildlife Spotting</title>
		<link>https://vividmaps.com/biodiversity-of-united-states-national-parks/</link>
					<comments>https://vividmaps.com/biodiversity-of-united-states-national-parks/#respond</comments>
		
		<dc:creator><![CDATA[Alex]]></dc:creator>
		<pubDate>Thu, 18 May 2023 18:43:40 +0000</pubDate>
				<category><![CDATA[Animals]]></category>
		<category><![CDATA[Environment maps]]></category>
		<category><![CDATA[World]]></category>
		<category><![CDATA[National Parks]]></category>
		<category><![CDATA[United States]]></category>
		<guid isPermaLink="false">https://vividmaps.com/?p=33915</guid>

					<description><![CDATA[<p>The sky is wide, the land is rugged, and the air fills your lungs with happiness. But for many adventurers, the genuine appeal of a trek through a national park is the fine detail: the living flora and fauna, often rare and amazing, that quietly inhabit the landscape.</p>
<p>The post <a href="https://vividmaps.com/biodiversity-of-united-states-national-parks/">The Best National Parks In The United States For Wildlife Spotting</a> appeared first on <a href="https://vividmaps.com">Vivid Maps</a>.</p>
]]></description>
										<content:encoded><![CDATA[
<p class="wp-block-paragraph">The sky is wide, the land is rugged, and the air fills your lungs with happiness. But for many adventurers, the genuine appeal of a trek through a national park is the fine detail: the living flora and fauna, often rare and amazing, that quietly inhabit the landscape.</p>



<p class="wp-block-paragraph"><a href="https://vividmaps.com/us-national-parks/">American national parks</a> are each motherland to an average of 415 species of wildlife. Each species plays a crucial role in the park&#8217;s ecosystem, and every national park has its own distinctive characters, sights, and sounds. From miniature but tough pikas to trumpeter swans and <a href="https://www.fs.usda.gov/wildflowers/plant-of-the-week/dicentra_cucullaria.shtml" target="_blank" rel="noreferrer noopener">Dutchman’s breeches</a>, these wild stretches are full of wonders.</p>



<p class="wp-block-paragraph">So, if you were going down to the national park today, which parks would you be most likely to run into amazement?</p>



<p class="wp-block-paragraph"><a href="http://: https://casago.com/blog/best-national-parks-in-america-for-wildlife-spotting/" target="_blank" rel="noreferrer noopener">Casago</a> examined National Park Service data to find out which national parks have the most wildlife and plants per 100 square kilometers (39 sq mi) and which have the most remarkable biodiversity overall.</p>







<h4 class="wp-block-heading">Key Findings</h4>



<ul class="wp-block-list">
<li>Congaree in South Carolina has the remarkable density of wildlife species, with 362 per 100 sq km.</li>



<li>However, Biscayne in Florida has more overall: a total of 1,002.</li>



<li>Carlsbad Caverns in New Mexico boast 194 bird species per 100 sq km, the highest density.</li>



<li>Cuyahoga Valley in Ohio has the densest plant biodiversity of all, at 935 species per 100 sq km.</li>



<li>The Great Smoky Mountains in North Carolina and Tennessee have the tremendous number of plant species overall: 2,278</li>
</ul>



<h4 class="wp-block-heading">All American National Parks Ranked by Plant Biodiversity</h4>



<p class="wp-block-paragraph">When it comes to plant life, the Great Smoky Mountains National Park has it covered: straddling the border of North Carolina and Tennessee, this park is home to 2,278 plant species (more than any other park), among them the tulip poplar and red maple trees and the colorful witch-hazel flower. New River Gorge in West Virginia ranks second with 2,005 plant species, including the great rhododendron (West Virginia’s state flower) that blooms pretty white flowers in June and July.</p>



<figure class="wp-block-image size-large"><a href="https://vividmaps.com/wp-content/uploads/2023/05/All-American-National-Parks-Ranked-by-Plant-Biodiversity.png"><img decoding="async" width="416" height="1024" src="https://vividmaps.com/wp-content/uploads/2023/05/All-American-National-Parks-Ranked-by-Plant-Biodiversity-416x1024.png" alt="American National Parks Ranked by plant Biodiversity Ranked" class="wp-image-33914" srcset="https://vividmaps.com/wp-content/uploads/2023/05/All-American-National-Parks-Ranked-by-Plant-Biodiversity-416x1024.png 416w, https://vividmaps.com/wp-content/uploads/2023/05/All-American-National-Parks-Ranked-by-Plant-Biodiversity-122x300.png 122w, https://vividmaps.com/wp-content/uploads/2023/05/All-American-National-Parks-Ranked-by-Plant-Biodiversity-768x1891.png 768w, https://vividmaps.com/wp-content/uploads/2023/05/All-American-National-Parks-Ranked-by-Plant-Biodiversity-624x1536.png 624w, https://vividmaps.com/wp-content/uploads/2023/05/All-American-National-Parks-Ranked-by-Plant-Biodiversity-832x2048.png 832w" sizes="(max-width: 416px) 100vw, 416px" /></a></figure>



<h4 class="wp-block-heading">All American National Parks Ranked by Animal Biodiversity</h4>



<p class="wp-block-paragraph">From bears to bald eagles, national parks across America are safe havens for many animals. But which national park, in particular, counts the most animal species? Biscayne in Florida takes the crown with 1,002 animal species. 95% made up of water, Biscayne counts 698 types of fish (including the endangered small-tooth sawfish) and 230 species of bird. Next up is the National Park of American Samoa (908 animal species), home to more fish species (818) than any other park.</p>



<figure class="wp-block-image size-large"><a href="https://vividmaps.com/wp-content/uploads/2023/05/American-National-Parks-Ranked-by-Animal-Biodiversity.png"><img decoding="async" width="411" height="1024" src="https://vividmaps.com/wp-content/uploads/2023/05/American-National-Parks-Ranked-by-Animal-Biodiversity-411x1024.png" alt="American National Parks Ranked by Animal Biodiversity Ranked" class="wp-image-33909" srcset="https://vividmaps.com/wp-content/uploads/2023/05/American-National-Parks-Ranked-by-Animal-Biodiversity-411x1024.png 411w, https://vividmaps.com/wp-content/uploads/2023/05/American-National-Parks-Ranked-by-Animal-Biodiversity-121x300.png 121w, https://vividmaps.com/wp-content/uploads/2023/05/American-National-Parks-Ranked-by-Animal-Biodiversity-768x1912.png 768w, https://vividmaps.com/wp-content/uploads/2023/05/American-National-Parks-Ranked-by-Animal-Biodiversity-617x1536.png 617w, https://vividmaps.com/wp-content/uploads/2023/05/American-National-Parks-Ranked-by-Animal-Biodiversity-823x2048.png 823w" sizes="(max-width: 411px) 100vw, 411px" /></a></figure>



<h4 class="wp-block-heading">The Top 20 American National Parks for Wildlife Spotting</h4>



<p class="wp-block-paragraph">The U.S. National Park System is a source of countrywide pride, preserving over 84 million acres of land and a rich variety of flora and fauna. But which of America’s 64 national parks offers visitors the best chance of spotting different animals in the wild?</p>



<p class="wp-block-paragraph">The Casago team mapped the 20 national parks with the highest number of animal species per 100 square kilometers. Congaree National Park in South Carolina comes out on top (362 species per 100 square kolometers), home to animals including bobcats, wild pigs and endangered species, like the red-cockaded woodpecker. Three parks in California (more than any other state) also make the top 20.</p>



<figure class="wp-block-image size-large"><a href="https://vividmaps.com/wp-content/uploads/2023/05/Top-20-American-National-Parks-for-Wildlife-Spotting.png"><img loading="lazy" decoding="async" width="707" height="1024" src="https://vividmaps.com/wp-content/uploads/2023/05/Top-20-American-National-Parks-for-Wildlife-Spotting-707x1024.png" alt="Top 20 American National Parks for Wildlife Spotting Mapped" class="wp-image-33912" srcset="https://vividmaps.com/wp-content/uploads/2023/05/Top-20-American-National-Parks-for-Wildlife-Spotting-707x1024.png 707w, https://vividmaps.com/wp-content/uploads/2023/05/Top-20-American-National-Parks-for-Wildlife-Spotting-207x300.png 207w, https://vividmaps.com/wp-content/uploads/2023/05/Top-20-American-National-Parks-for-Wildlife-Spotting-768x1112.png 768w, https://vividmaps.com/wp-content/uploads/2023/05/Top-20-American-National-Parks-for-Wildlife-Spotting-1061x1536.png 1061w, https://vividmaps.com/wp-content/uploads/2023/05/Top-20-American-National-Parks-for-Wildlife-Spotting-1414x2048.png 1414w" sizes="auto, (max-width: 707px) 100vw, 707px" /></a></figure>



<h4 class="wp-block-heading">The Top 10 American National Parks for Plant Lovers</h4>



<p class="wp-block-paragraph">There&#8217;s nothing more soothing to the soul than a stroll through lush, green nature, and national parks up and down America are perfect places to get your fix of flora. But which park, in particular, is home to the biggest variety of plants? The research reveals it’s Cuyahoga Valley in Ohio, where you can find 935 species of plants every 100 square kilomters &#8211; 21 of which are listed by the state as rare. They range from pretty daisy-like bloodroot flowers in the spring to the buckeye, Ohio’s official state tree.</p>



<figure class="wp-block-image size-large"><a href="https://vividmaps.com/wp-content/uploads/2023/05/Top-10-American-National-Parks-for-Plant-Lovers.jpg"><img loading="lazy" decoding="async" width="889" height="1024" src="https://vividmaps.com/wp-content/uploads/2023/05/Top-10-American-National-Parks-for-Plant-Lovers-889x1024.jpg" alt="Top 10 American National Parks for Plant Lovers Ranked" class="wp-image-33911" srcset="https://vividmaps.com/wp-content/uploads/2023/05/Top-10-American-National-Parks-for-Plant-Lovers-889x1024.jpg 889w, https://vividmaps.com/wp-content/uploads/2023/05/Top-10-American-National-Parks-for-Plant-Lovers-260x300.jpg 260w, https://vividmaps.com/wp-content/uploads/2023/05/Top-10-American-National-Parks-for-Plant-Lovers-768x884.jpg 768w, https://vividmaps.com/wp-content/uploads/2023/05/Top-10-American-National-Parks-for-Plant-Lovers.jpg 1200w" sizes="auto, (max-width: 889px) 100vw, 889px" /></a></figure>



<h4 class="wp-block-heading">The Top 10 American National Parks for Bird Watching</h4>



<p class="wp-block-paragraph">You don&#8217;t have to be a bird expert to find joy in watching birds of every size, song and color go about their daily lives. But if you&#8217;re on the lookout for the biggest array of birds to spot, head to Carlsbad Caverns, New Mexico &#8211; there are more bird species (194) here per 100 square kilometers than in any other national park in the country. Visitors to the park&#8217;s popular cave system may spot what&#8217;s considered the world&#8217;s largest colony of <a href="https://www.birdwatchingdaily.com/locations-travel/featured-destinations/cave-swallows-carlsbad-cavern/" target="_blank" rel="noreferrer noopener">cave swallows nesting</a>, swooping and diving at its entrance.</p>



<figure class="wp-block-image size-large"><a href="https://vividmaps.com/wp-content/uploads/2023/05/Top-10-American-National-Parks-for-Bird-Watching.jpg"><img loading="lazy" decoding="async" width="889" height="1024" src="https://vividmaps.com/wp-content/uploads/2023/05/Top-10-American-National-Parks-for-Bird-Watching-889x1024.jpg" alt="The Top 10 American National Parks for Bird Watching Ranked" class="wp-image-33910" srcset="https://vividmaps.com/wp-content/uploads/2023/05/Top-10-American-National-Parks-for-Bird-Watching-889x1024.jpg 889w, https://vividmaps.com/wp-content/uploads/2023/05/Top-10-American-National-Parks-for-Bird-Watching-260x300.jpg 260w, https://vividmaps.com/wp-content/uploads/2023/05/Top-10-American-National-Parks-for-Bird-Watching-768x884.jpg 768w, https://vividmaps.com/wp-content/uploads/2023/05/Top-10-American-National-Parks-for-Bird-Watching.jpg 1200w" sizes="auto, (max-width: 889px) 100vw, 889px" /></a></figure>



<h4 class="wp-block-heading">Methodology</h4>



<p class="wp-block-paragraph">To provide accurate information, Casago obtained the coordinates of all national parks in America from <a href="https://en.wikipedia.org/wiki/List_of_national_parks_of_the_United_States" target="_blank" rel="noreferrer noopener">Wikipedia</a>. They went a step further by downloading detailed records of all species present in each park from <a href="https://irma.nps.gov/Portal/" target="_blank" rel="noreferrer noopener">irma.nps.gov</a> and park area sizes from <a href="https://parksexpert.com/" target="_blank" rel="noreferrer noopener">Parks Expert</a>.</p>



<p class="wp-block-paragraph">For each national park, the Casago team got the number of amphibians, mammals, birds, reptiles, fish, and vascular plants by counting records of approved species that fell under any of the six categories. To determine the total number of animals, the amphibians, birds, fishes, mammals, and reptiles were counted. Similarly, the total number of plant species was calculated by combining the vascular plants.</p>



<p class="wp-block-paragraph">The Casago tean calculated the density of species in each park by determining the number of wildlife species (including all five categories of animals), bird species, and vascular plant species per 100 km².In addition, national parks with an area less than 100 square kilometers were excluded from the analysis.</p>



<p class="wp-block-paragraph">The data was gathered in February 2023.</p>
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		<title>How cats migrated to Europe?</title>
		<link>https://vividmaps.com/how-cats-migrated-to-europe/</link>
					<comments>https://vividmaps.com/how-cats-migrated-to-europe/#comments</comments>
		
		<dc:creator><![CDATA[Alex]]></dc:creator>
		<pubDate>Fri, 12 May 2023 18:41:54 +0000</pubDate>
				<category><![CDATA[Animals]]></category>
		<category><![CDATA[cats]]></category>
		<category><![CDATA[World]]></category>
		<guid isPermaLink="false">https://vividmaps.com/?p=33784</guid>

					<description><![CDATA[<p>The five known varieties of wildcat (Near Eastern, Chinese, Central Asian, Southern African, and European) are quite identical and can interbreed. Analysts had a tough time pinpointing where in the world the domestication of cats first began. Some even think that it had taken place at multiple times and places.</p>
<p>The post <a href="https://vividmaps.com/how-cats-migrated-to-europe/">How cats migrated to Europe?</a> appeared first on <a href="https://vividmaps.com">Vivid Maps</a>.</p>
]]></description>
										<content:encoded><![CDATA[
<p class="wp-block-paragraph">The five known varieties of wildcat (Near Eastern, Chinese, Central Asian, Southern African, and European) are quite identical and can interbreed. Analysts had a tough time pinpointing where in the world the domestication of cats first began. Some even think that it had taken place at multiple times and places.</p>



<p class="wp-block-paragraph">Until recently, the thinking was that cats arrived in Europe only in Late Antiquity (approximately the 3rd to 7th century AD).</p>



<p class="wp-block-paragraph">Nowadays, it has been determined that the Near Eastern wildcat (<em><a href="https://en.wikipedia.org/wiki/Wildcat" target="_blank" rel="noreferrer noopener">Felis silvestris lybica</a></em>) is the common ancestor of all domesticated cats, and that they were first domesticated in the Fertile Crescent about 10 thousand years ago.</p>



<p class="wp-block-paragraph">In 2016, a team of scientists <a rel="noreferrer noopener" href="https://phys.org/news/2020-07-years-history-domestic-cats-central.html" target="_blank">found</a> domestic cat bones around 8,000 years old and confirmed the presence of domestic cats during the Roman period in the vast area of Europe <a rel="noreferrer noopener" href="https://palaeo-electronica.org/content/2017/391-581/1743-mammals-from-solna-jama-cave-figures" target="_blank">stretching</a> from the <a href="https://vividmaps.com/mediterranean-sea/">Mediterranean Sea</a> to that is now northern Poland.</p>



<p class="wp-block-paragraph">A spike in the Late Neolithic Eastern European house mouse population exhibits some nifty overlap with these ancient cat bones’ newly attached dates, though paleogenetic <a href="https://www.cambridge.org/core/journals/antiquity/article/history-of-the-domestic-cat-in-central-europe/310159D75603E48DE19A357A65894AA0" target="_blank" rel="noreferrer noopener">Dr. Danijela Popović</a> notes that the cats’ appearance in Europe preceded that of the first farmers. According to him, cats domesticated themselves; they were attracted to the rodents that feasted off the harvests of the first farmers. They chose us, not the other way around. Consequently, those early farmers were grateful for this helpful form of pest control. As a result, thanks to humans, cats colonized Central Europe.</p>



<p class="wp-block-paragraph">The oldest archaeological evidence for cat domestication is a 9,500-year-old burial, uncovered in Cyprus in 2004, in which a Paleolithic-era human was buried with their feline pet. There is spare evidence for the spread of cats throughout Europe before the Late Middle Ages. In Europe, cat bones only became abundant in the second half of the 13th century, which implies that cats had become popular at this time.</p>



<p class="wp-block-paragraph">The conventional theory is that cats started to spread throughout the Mediterranean in Antiquity, journeying with Greeks and Romans. According to the map below, they would have hopped on board Etruscan, Greek, and Phoenician vessels to get to major Mediterranean islands like Sicily by 1700 BC, landed in ancient Greece about 1400 BC, arrive in republican Rome in about 500 BC, and make it to pre-Roman Iberia by 400 BC.</p>



<p class="wp-block-paragraph">After that, cats became another thing the <a href="https://vividmaps.com/roads-of-roman-empire/">Roman Empire exported</a>, just like wine and soldiers. They reached Britannia in about 100 BC and Germania at about the BC/AD milestone. Cats are affirmed in Ireland only from 900 AD, and in Scotland from 500 to 800 AD. During that time, the Vikings took cats on their long voyages across Europe, helping them spread even further.</p>



<figure class="wp-block-image size-large"><img loading="lazy" decoding="async" width="1024" height="884" src="https://vividmaps.com/wp-content/uploads/2023/05/cats-expansion-1024x884.jpg" alt="" class="wp-image-33788" srcset="https://vividmaps.com/wp-content/uploads/2023/05/cats-expansion-1024x884.jpg 1024w, https://vividmaps.com/wp-content/uploads/2023/05/cats-expansion-300x259.jpg 300w, https://vividmaps.com/wp-content/uploads/2023/05/cats-expansion-768x663.jpg 768w, https://vividmaps.com/wp-content/uploads/2023/05/cats-expansion-1536x1325.jpg 1536w, https://vividmaps.com/wp-content/uploads/2023/05/cats-expansion.jpg 1583w" sizes="auto, (max-width: 1024px) 100vw, 1024px" /></figure>



<p class="wp-block-paragraph">A separate domestication taken place in Egypt around 3,500 years ago. This second population of cat varieties was likely tamer and more sociable. The Egyptians clearly revered cats. For instance, Bastet, the Egyptian goddess of love, had a cat’s head. Murdering a cat in Ancient Egypt could get you executed. And the cat necropolis of Beni-Hassan encloses some 300 thousand mummies of cats.</p>



<p class="wp-block-paragraph">Recent analysis of cat DNA from 200 sources, including the Fertile Crescent and Egypt, showed the two distinct populations combined, resulting in the modern day domesticated cats. The blending of both breeds joined the cats&#8217; usefulness with their friendliness, transforming them into a treasured companion for both agriculturists and dealers, who started taking them along on their drawn out trips across terrain and ocean.</p>



<p class="wp-block-paragraph">These cats look similar to the various kinds of wildcats that used to exist (and still do), except that they&#8217;re less solitary and more tolerant of humans (and other cats). It was only in the 19th century that <a href="https://vividmaps.com/cats-or-dogs/">cat lovers</a> started breeding the fancy breeds we know today, purely out of aesthetic reasons.</p>
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		<title>World map of the bear population</title>
		<link>https://vividmaps.com/world-map-of-the-bear-population/</link>
					<comments>https://vividmaps.com/world-map-of-the-bear-population/#respond</comments>
		
		<dc:creator><![CDATA[Alex]]></dc:creator>
		<pubDate>Sat, 15 Apr 2023 11:41:53 +0000</pubDate>
				<category><![CDATA[Animals]]></category>
		<category><![CDATA[Environment maps]]></category>
		<category><![CDATA[Maps of world]]></category>
		<guid isPermaLink="false">https://vividmaps.com/?p=33271</guid>

					<description><![CDATA[<p>Bears are carnivorous mammals of the Ursidae family. Although only 8 species of bears are existent, they are widespread, living in a wide variety of habitats throughout the Northern Hemisphere and partially in the Southern Hemisphere.</p>
<p>The post <a href="https://vividmaps.com/world-map-of-the-bear-population/">World map of the bear population</a> appeared first on <a href="https://vividmaps.com">Vivid Maps</a>.</p>
]]></description>
										<content:encoded><![CDATA[
<p class="wp-block-paragraph"><a href="https://en.wikipedia.org/wiki/Bear" target="_blank" rel="noreferrer noopener">Bears</a> are carnivorous mammals of the Ursidae family. They are classified as caniforms or doglike carnivorans. Although only eight species of bears are existent, they are widespread, living in a wide variety of habitats throughout the Northern Hemisphere and partially in the Southern Hemisphere. This species has been preserved on all continents except Africa, Australia, and Antarctica.</p>



<p class="wp-block-paragraph">Below is the world map of a geographic range of the 8 bear species.</p>



<figure class="wp-block-image size-large"><a href="https://vividmaps.com/wp-content/uploads/2023/04/bears-1.jpg"><img loading="lazy" decoding="async" width="1024" height="819" src="https://vividmaps.com/wp-content/uploads/2023/04/bears-1-1024x819.jpg" alt="World map of geographic range of the eight bear species" class="wp-image-33384" srcset="https://vividmaps.com/wp-content/uploads/2023/04/bears-1-1024x819.jpg 1024w, https://vividmaps.com/wp-content/uploads/2023/04/bears-1-300x240.jpg 300w, https://vividmaps.com/wp-content/uploads/2023/04/bears-1-768x614.jpg 768w, https://vividmaps.com/wp-content/uploads/2023/04/bears-1-1536x1229.jpg 1536w, https://vividmaps.com/wp-content/uploads/2023/04/bears-1.jpg 2000w" sizes="auto, (max-width: 1024px) 100vw, 1024px" /></a></figure>



<p class="wp-block-paragraph">Bear species differ significantly in their diet. Polar bears are mostly carnivorous, and giant pandas feed almost exclusively on bamboo, but the remaining 6 species are omnivorous. Generally, bears live alone, except when they court and when they are caring for their young. Although they have heavy builds and awkward gaits, they are adept runners, climbers, and swimmers.</p>



<p class="wp-block-paragraph">According to the IUCN, six bear species are vulnerable or endangered, and even the least concern species, such as the brown bear, are threatened with extinction.</p>



<p class="wp-block-paragraph">Here is the map of the bear population.</p>



<figure class="wp-block-image size-large"><a href="https://vividmaps.com/wp-content/uploads/2023/04/bears.jpg"><img loading="lazy" decoding="async" width="1024" height="1012" src="https://vividmaps.com/wp-content/uploads/2023/04/bears-1024x1012.jpg" alt="World map of bear population" class="wp-image-33270" srcset="https://vividmaps.com/wp-content/uploads/2023/04/bears-1024x1012.jpg 1024w, https://vividmaps.com/wp-content/uploads/2023/04/bears-300x296.jpg 300w, https://vividmaps.com/wp-content/uploads/2023/04/bears-768x759.jpg 768w, https://vividmaps.com/wp-content/uploads/2023/04/bears.jpg 1170w" sizes="auto, (max-width: 1024px) 100vw, 1024px" /></a></figure>



<p class="wp-block-paragraph"><strong>The brown bear (<em><a href="https://en.wikipedia.org/wiki/Brown_bear" target="_blank" rel="noreferrer noopener">Ursus arctos</a></em>)</strong> is a large bear species that lives in Eurasia and <a href="https://vividmaps.com/bears-in-north-america/">North America</a>. North American brown bear populations are called grizzly bears, while the Kodiak bear subspecies inhabits the Kodiak Islands of Alaska.</p>



<p class="wp-block-paragraph">In Eurasia, the bear lives in parts of Europe (Finland, the Balkans, Russia, Belarus, Ukraine, Scandinavia, Romania, the Caucasus), Central Asia, the Himalayas, China, Hokkaido, Scandinavia, Iran, and Anatolia.</p>



<p class="wp-block-paragraph">Brown bears are still classified by the IUCN as a species of least concern, despite a reduction in their range and local extinction in some areas.</p>



<p class="wp-block-paragraph"><strong>The polar bear (<em><a href="https://en.wikipedia.org/wiki/Polar_bear" target="_blank" rel="noreferrer noopener">Ursus maritimus</a></em>)</strong> is a hyper-carnivorous bear species. Its native range lies largely within the Arctic Circle, surrounding the Arctic Ocean and its circling seas and landmasses, which include the northernmost regions of Eurasia and North America. It is the largest extant species of a bear as well as the largest extant land carnivore. An adult male weighs about 350–700 kilograms or 770–1,540 pounds, while a sow (adult female) is about half that size. Although the brown bear is its sister species, the polar bear occupies a narrower ecological niche thanks to adapted body characteristics that allow it to move across snow, ice, and open water, and for hunting seals, which make up the majority of its diet. Their scientific name means &#8220;maritime bear&#8221; and derives from this fact.</p>



<p class="wp-block-paragraph"><strong>The Asian black bear (<em><a href="https://en.wikipedia.org/wiki/Asian_black_bear" target="_blank" rel="noreferrer noopener">Ursus thibetanus</a></em>)</strong> is native to Asia and is referred to as the Asiatic black bear, moon bear, or white-chested bear. This species of bear is medium-sized and is well-adapted to living in trees. It can be found in southeastern Iran, the Himalayas, the northern parts of the Indian subcontinent, China, Taiwan, the Korean Peninsula, the Russian Far East, and the islands of Honshū and Shikoku in Japan.</p>



<p class="wp-block-paragraph"><strong>The American black bear (<em><a href="https://en.wikipedia.org/wiki/American_black_bear" target="_blank" rel="noreferrer noopener">Ursus americanus</a></em>)</strong> is a species of medium-sized bear endemic to North America. It is the continent&#8217;s smallest and most widely distributed bear species. Depending on where it is and what season it is, the American black bear&#8217;s diet can vary a great deal, as it is an omnivore. It generally inhabits in forested territories.</p>



<p class="wp-block-paragraph"><strong>The sun bear (<em><a href="https://en.wikipedia.org/wiki/Sun_bear" target="_blank" rel="noreferrer noopener">Helarctos malayanus</a></em>)</strong> is the smallest bear, standing nearly 70 cm or 28 inches at the shoulder and weighing 25–65 kilograms (55–143 pounds). This species of bear get its name from the cream-colored chest patch.</p>



<p class="wp-block-paragraph">The range of the sun bear is bound by northeastern India to the north and stretches south to southeast through Bangladesh, Cambodia, Myanmar, Laos, Thailand, and Vietnam in mainland Asia to Brunei, Indonesia, and Malaysia to the south.</p>



<p class="wp-block-paragraph"><strong>The sloth bear (<em><a href="https://en.wikipedia.org/wiki/Sloth_bear" target="_blank" rel="noreferrer noopener">Melursus ursinus</a></em>)</strong> or Indian bear is a bear species native to the Indian subcontinent that feeds on fruits, ants, and termites. The bear shares features of insectivorous mammals.</p>



<p class="wp-block-paragraph"><strong>The spectacled bear (<em><a href="https://en.wikipedia.org/wiki/Spectacled_bear" target="_blank" rel="noreferrer noopener">Tremarctos ornatus</a></em>)</strong> is also known as the Andean bear or the South American bear. It is the only habitation species of bear native to South America. This spectacled bear is the closest relative to the giant panda.</p>



<p class="wp-block-paragraph"><strong>The giant panda (<em><a href="https://en.wikipedia.org/wiki/Giant_panda" target="_blank" rel="noreferrer noopener">Ailuropoda melanoleuca</a></em>)</strong> is a species of bear endemic to <a href="https://vividmaps.com/china/">China</a>. Though it belongs to the order Carnivora, the giant panda is a folivore, with bamboo shoots and leaves making up more than 99% of its diet.</p>



<p class="wp-block-paragraph">According to the IUCN report, are approximately 1,590 individuals of giant panda species living in the wild.</p>
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		<title>New study reveals the states most likely to encounter a dangerous animal</title>
		<link>https://vividmaps.com/americas-top-hotspots-for-dangerous-animal-attacks/</link>
					<comments>https://vividmaps.com/americas-top-hotspots-for-dangerous-animal-attacks/#respond</comments>
		
		<dc:creator><![CDATA[Alex]]></dc:creator>
		<pubDate>Fri, 10 Jun 2022 14:45:41 +0000</pubDate>
				<category><![CDATA[Animals]]></category>
		<category><![CDATA[Health]]></category>
		<category><![CDATA[World]]></category>
		<category><![CDATA[United States]]></category>
		<guid isPermaLink="false">https://vividmaps.com/?p=30768</guid>

					<description><![CDATA[<p>California has experienced one of the greatest number of attacks in America (312), residents are estimated to have a 1 in 127,129 chance of being targeted. Texas is crowned the most fatal capital with 559 attacks, with Texas having a one in 53,842 chance of being involved in a dangerous animal encounter.</p>
<p>The post <a href="https://vividmaps.com/americas-top-hotspots-for-dangerous-animal-attacks/">New study reveals the states most likely to encounter a dangerous animal</a> appeared first on <a href="https://vividmaps.com">Vivid Maps</a>.</p>
]]></description>
										<content:encoded><![CDATA[
<p class="wp-block-paragraph">From nature to nurture, having pets adds purpose to many lives, buts it’s important to remember the facts when it comes to wild animals. Wild animal attacks on humans are increasing in urban areas across North America. Annually across the United States, eight people fall <a rel="noreferrer noopener" href="https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=1544&amp;context=hwi#:~:text=Over%2047%2C000%20people%20annually%20in,and%20raccoons%20(Procyon%20lotor)" target="_blank">victims</a> to wildlife, with thousands seeking medical attention following bites each year. But where in the U.S. are you most likely to encounter a dangerous animal and which states have the highest odds of being involved in an incident?</p>



<p class="wp-block-paragraph">ABy analyzing all reported animal attacks across the United States since 2000, using data from <a rel="noreferrer noopener" href="https://wonder.cdc.gov/controller/datarequest/D76;jsessionid=8EF24999877CAAFF57CA727CBC10" target="_blank">Wonder.cdc.gov</a> and <a rel="noreferrer noopener" href="https://en.wikipedia.org/wiki/Category:Deaths_due_to_animal_attacks_in_the_United_States" target="_blank">Wikipedia</a>, a new study from <a rel="noreferrer noopener" href="https://www.betohio.com/" target="_blank">BetOhio.com</a> reveals the states with the greatest chance of being in an incident with an animal.</p>



<p class="wp-block-paragraph">California has experienced one of the greatest number of attacks in America (312), residents are estimated to have a 1 in 127,129 chance of being targeted. Texas is crowned the most fatal capital with 559 attacks, with Texas having a one in 53,842 chance of being involved in a dangerous animal encounter. Vermont, North Dakota, and New Hampshire have had no reports of animal attacks since 2000–making those within them state the safest.</p>



<figure class="wp-block-image size-large"><a href="https://vividmaps.com/wp-content/uploads/2022/06/Animal-Attacks-United-States-910x1024.jpeg"><img loading="lazy" decoding="async" width="910" height="1024" src="https://vividmaps.com/wp-content/uploads/2022/06/Animal-Attacks-United-States-910x1024.jpeg" alt="Animal attacks in the United states mapped" class="wp-image-30770" srcset="https://vividmaps.com/wp-content/uploads/2022/06/Animal-Attacks-United-States-910x1024.jpeg 910w, https://vividmaps.com/wp-content/uploads/2022/06/Animal-Attacks-United-States-267x300.jpeg 267w, https://vividmaps.com/wp-content/uploads/2022/06/Animal-Attacks-United-States-768x864.jpeg 768w, https://vividmaps.com/wp-content/uploads/2022/06/Animal-Attacks-United-States-1365x1536.jpeg 1365w, https://vividmaps.com/wp-content/uploads/2022/06/Animal-Attacks-United-States.jpeg 1500w" sizes="auto, (max-width: 910px) 100vw, 910px" /></a></figure>



<h4 class="wp-block-heading">Texas and California are America’s leading states for dangerous encounters</h4>



<p class="wp-block-paragraph">The report that analyzed data since 2000 found Texas was the leading state for attacks having over 200+ more than California, which came in second. Texas ranked the highest across all categories par contact with other specified venomous arthropods, bitten or crushed by reptiles and fish.</p>



<p class="wp-block-paragraph">Texas had the highest number of contacts with hornets, wasps, and bees – witnessing 196 cases since 2000.</p>



<p class="wp-block-paragraph">Florida (257), North Carolina (180), and Tennessee (165) make up the top five states for dangerous animal encounters.</p>



<p class="wp-block-paragraph">The table below shows the top 15 US states in order of the highest animal attacks:</p>



<figure class="wp-block-table is-style-stripes"><table><tbody><tr><td>Rank</td><td>State</td><td>Most Fatal Attacks</td></tr><tr><td>1</td><td>Texas</td><td>559</td></tr><tr><td>2</td><td>California</td><td>312</td></tr><tr><td>3</td><td>Florida</td><td>257</td></tr><tr><td>4</td><td>North Carolina</td><td>180</td></tr><tr><td>5</td><td>Tennessee</td><td>165</td></tr><tr><td>6</td><td>Georgia</td><td>156</td></tr><tr><td>7</td><td>Ohio</td><td>152</td></tr><tr><td>8</td><td>Pennsylvania</td><td>137</td></tr><tr><td>9</td><td>Michigan</td><td>130</td></tr><tr><td>10</td><td>Illinois</td><td>116</td></tr><tr><td>11</td><td>New York</td><td>113</td></tr><tr><td>12</td><td>Missouri</td><td>109</td></tr><tr><td>13</td><td>Wisconsin</td><td>107</td></tr><tr><td>14</td><td>Oklahoma</td><td>96</td></tr><tr><td>15</td><td>Arizona</td><td>95</td></tr></tbody></table></figure>



<h4 class="wp-block-heading">Vermont, North Dakota, and New Hampshire have had no reports of animal attacks in 20 years</h4>



<p class="wp-block-paragraph">Vermont, North Dakota, and New Hampshire have had no reports of animal attacks since 2000 – making those within them state the safest. Closely followed by Rhode Island (1) and Delaware (2) who have had little to no reports.</p>



<p class="wp-block-paragraph">The table below shows the top 5 US states in order of the lowest animal attacks:</p>



<figure class="wp-block-table is-style-stripes"><table><tbody><tr><td>Rank</td><td>State</td><td>Fatal Attacks</td></tr><tr><td>1</td><td>Vermont</td><td>0</td></tr><tr><td>2</td><td>North Dakota</td><td>0</td></tr><tr><td>3</td><td>New Hampshire</td><td>0</td></tr><tr><td>4</td><td>Rhode Island</td><td>1</td></tr><tr><td>5</td><td>Delaware</td><td>2</td></tr></tbody></table></figure>



<h4 class="wp-block-heading">What are the chances of being involved in a fatal animal encounter?</h4>



<p class="wp-block-paragraph">Living in the wild, taking those hikes in the woods &#8211; from bear attacks to wolfs, what are the odds of you being involved in a dangerous animal attack when put against your state’s population?&nbsp;&nbsp;</p>



<p class="wp-block-paragraph">West Virginia leaves many out of luck, with the state coming in as the most likely, with your chances of fatality being one to 30271 when encountered by a dangerous animal.</p>



<p class="wp-block-paragraph">Delaware has the highest odds par the states with no attacks, with one in 1062583 people having a chance of being involved in an attack.</p>



<p class="wp-block-paragraph">Chances of being involved in a fatal attack:</p>



<figure class="wp-block-table is-style-stripes"><table><tbody><tr><td>Rank</td><td>State</td><td>One in (chance)</td></tr><tr><td>1</td><td>West Virginia</td><td>30271</td></tr><tr><td>2</td><td>Montana</td><td>31232</td></tr><tr><td>3</td><td>Alaska</td><td>36038</td></tr><tr><td>4</td><td>Mississippi</td><td>40569</td></tr><tr><td>5</td><td>South Dakota</td><td>41025</td></tr><tr><td>6</td><td>Arkansas</td><td>41671</td></tr><tr><td>7</td><td>Oklahoma</td><td>41741</td></tr><tr><td>8</td><td>Idaho</td><td>42148</td></tr><tr><td>9</td><td>Tennessee</td><td>42435</td></tr><tr><td>10</td><td>Wyoming</td><td>44787</td></tr><tr><td>11</td><td>New Mexico</td><td>47934</td></tr><tr><td>12</td><td>Texas</td><td>53842</td></tr><tr><td>13</td><td>Wisconsin</td><td>54837</td></tr><tr><td>14</td><td>Kentucky</td><td>55398</td></tr><tr><td>15</td><td>Missouri</td><td>56742</td></tr></tbody></table></figure>
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		<title>The Dog Poop Capitals, Mapped</title>
		<link>https://vividmaps.com/dog-poop/</link>
					<comments>https://vividmaps.com/dog-poop/#respond</comments>
		
		<dc:creator><![CDATA[Alex]]></dc:creator>
		<pubDate>Mon, 04 Apr 2022 19:40:30 +0000</pubDate>
				<category><![CDATA[Animals]]></category>
		<category><![CDATA[Entertainment]]></category>
		<category><![CDATA[dogs]]></category>
		<category><![CDATA[United States]]></category>
		<guid isPermaLink="false">https://vividmaps.com/?p=30253</guid>

					<description><![CDATA[<p>Overall, the U.S. dominates, taking up 12 places within the top 20 results – however, York, Norwich and Manchester represent the UK, taking the top three spots with yuck-y numbers of dog-poop complaints. Pittsburgh, Seattle and Atlanta in the US follow closely behind.</p>
<p>The post <a href="https://vividmaps.com/dog-poop/">The Dog Poop Capitals, Mapped</a> appeared first on <a href="https://vividmaps.com">Vivid Maps</a>.</p>
]]></description>
										<content:encoded><![CDATA[
<p class="wp-block-paragraph">Good dog owners pick up after their dogs, but not all owners are good. Some leave dog poop where it falls, and those who bag it and then abandon the bag.</p>



<p class="wp-block-paragraph">Dogs can harbor lots of parasites, bacteria, and viruses, so the risk from poop can be more than just a mess on your boots. But where is dog poop most commonly found?</p>



<p class="wp-block-paragraph">Protect My Paws studied Twitter data to identify which cities and U.S. states tweet the most about abandoned dog poop.</p>







<p class="wp-block-paragraph"><a href="https://protectmypaws.com/the-dog-poop-capitals-mapped/" target="_blank" rel="noreferrer noopener">Protect My Paws</a> made a list of poop-related keywords (e.g., “dog poo”, “dog poop”, “dog litter”, “stepped in poo”, “poo bag”, “poo bags”, “dog fouling”).</p>



<p class="wp-block-paragraph">Then, using Twitter API, they analyzed and extracted tweets featuring those words, removing locations other than the United States or the United Kingdom.</p>



<p class="wp-block-paragraph">The team extrapolated data to determine the numbers for an entire year. Protect My Paws then compared the number of tweets with population figures and ranked the cities in both the U.S. and U.K.</p>



<p class="wp-block-paragraph">Here are the results of a new study that reveals the dog waste hotspots of the U.S. and the U.K.</p>



<h4 class="wp-block-heading">The United States of dog poop</h4>



<p class="wp-block-paragraph">According to the American Pet Product Association, there are an estimated 89.7 million dogs in the United States, making it a nation of dog-lovers. But where in the U.S. states are you more likely to stand in a steaming pile of dog poop?</p>



<p class="wp-block-paragraph">The state of Colorado is known for its vivid landscape of mountains, forests, canyons, rivers, and desert lands. If you&#8217;re into natural, scenic beauty, Colorado is a haven &#8211; it also happens to be the dog poop capital.</p>



<figure class="wp-block-image size-large"><a href="https://vividmaps.com/wp-content/uploads/2022/04/The-Dog-Poop-Capitals-US-Map.png"><img loading="lazy" decoding="async" width="736" height="1024" src="https://vividmaps.com/wp-content/uploads/2022/04/The-Dog-Poop-Capitals-US-Map-736x1024.png" alt="The United States of dog poop" class="wp-image-30255" srcset="https://vividmaps.com/wp-content/uploads/2022/04/The-Dog-Poop-Capitals-US-Map-736x1024.png 736w, https://vividmaps.com/wp-content/uploads/2022/04/The-Dog-Poop-Capitals-US-Map-216x300.png 216w, https://vividmaps.com/wp-content/uploads/2022/04/The-Dog-Poop-Capitals-US-Map-768x1069.png 768w, https://vividmaps.com/wp-content/uploads/2022/04/The-Dog-Poop-Capitals-US-Map-1104x1536.png 1104w, https://vividmaps.com/wp-content/uploads/2022/04/The-Dog-Poop-Capitals-US-Map.png 1200w" sizes="auto, (max-width: 736px) 100vw, 736px" /></a></figure>



<h5 class="wp-block-heading">The Top 10 U.S. States With The Most Dog Poop</h5>



<figure class="wp-block-table is-style-stripes"><table><thead><tr><th>State</th><th><strong># of tweets yearly per 100,000 population</strong></th></tr></thead><tbody><tr><td><strong>Colorado</strong></td><td>15.4</td></tr><tr><td><strong>Oregon</strong></td><td>15.3</td></tr><tr><td><strong>New Hampshire</strong></td><td>11.5</td></tr><tr><td><strong>Washington</strong></td><td>11.3</td></tr><tr><td><strong>Minnesota</strong></td><td>11.1</td></tr><tr><td><strong>New York</strong></td><td>10.8</td></tr><tr><td><strong>Arizona</strong></td><td>10.4</td></tr><tr><td><strong>North Dakota</strong></td><td>10.1</td></tr><tr><td><strong>Vermont</strong></td><td>9.8</td></tr><tr><td><strong>California</strong></td><td>9.2</td></tr></tbody></table></figure>



<p class="wp-block-paragraph">Pittsburgh in Pennsylvania is often described as a world-class destination boasting great sports, art, food, and architecture; it&#8217;s easy to see why. The city&#8217;s postcard-like views, many outdoor activities, hiking sports, and 24-miles of riverfront trails make it an excellent city for those traveling with pets too. But a city that&#8217;s great for pooches is a city that&#8217;s no stranger to pooping. Of all the cities in the Unties States, Pittsburgh has more dog mess than the rest.</p>



<figure class="wp-block-image size-large"><a href="https://vividmaps.com/wp-content/uploads/2022/04/The-Dog-Poop-Capitals-Worst-10-Map-US.png"><img loading="lazy" decoding="async" width="819" height="1024" src="https://vividmaps.com/wp-content/uploads/2022/04/The-Dog-Poop-Capitals-Worst-10-Map-US-819x1024.png" alt="Dog poop capital of the United States mapped" class="wp-image-30256" srcset="https://vividmaps.com/wp-content/uploads/2022/04/The-Dog-Poop-Capitals-Worst-10-Map-US-819x1024.png 819w, https://vividmaps.com/wp-content/uploads/2022/04/The-Dog-Poop-Capitals-Worst-10-Map-US-240x300.png 240w, https://vividmaps.com/wp-content/uploads/2022/04/The-Dog-Poop-Capitals-Worst-10-Map-US-768x960.png 768w, https://vividmaps.com/wp-content/uploads/2022/04/The-Dog-Poop-Capitals-Worst-10-Map-US.png 1200w" sizes="auto, (max-width: 819px) 100vw, 819px" /></a></figure>



<h5 class="wp-block-heading">The Top 10 U.S. Cities With The Most Dog Poop</h5>



<figure class="wp-block-table is-style-stripes"><table><thead><tr><th>City</th><th>State</th><th><strong># of tweets yearly per 100,000 population</strong></th></tr></thead><tbody><tr><td><strong>Pittsburgh</strong></td><td>Pennsylvania</td><td>74.2</td></tr><tr><td><strong>Seattle</strong></td><td>Washington</td><td>63.9</td></tr><tr><td><strong>Atlanta</strong></td><td>Georgia</td><td>61.8</td></tr><tr><td><strong>San Francisco</strong></td><td>California</td><td>54.9</td></tr><tr><td><strong>Buffalo</strong></td><td>New York</td><td>49.9</td></tr><tr><td><strong>Norfolk</strong></td><td>Virginia</td><td>45.7</td></tr><tr><td><strong>Austin</strong></td><td>Texas</td><td>44.7</td></tr><tr><td><strong>New Orleans</strong></td><td>Louisiana</td><td>44.7</td></tr><tr><td><strong>Washington</strong></td><td>District of Columbia</td><td>44.5</td></tr><tr><td><strong>Minneapolis</strong></td><td>Minnesota</td><td>43.9</td></tr></tbody></table></figure>



<h4 class="wp-block-heading">The United Kingdom of dog poop</h4>



<p class="wp-block-paragraph">According to <a href="https://www.statista.com/statistics/515379/dogs-population-in-the-united-kingdom-uk/" target="_blank" rel="noreferrer noopener">Statista</a>, there are 12.5 million dogs in the United Kingdom. That&#8217;s a lot of pooches to pet and walk and a lot of poop to clean up. The data reveals that the city of York, a beautiful and historic city known for its stunning architecture and rich medieval history, tops the list as the dog poop capital with more dog poo complaints per 1000k pop than any other city in the United Kingdom.</p>



<figure class="wp-block-image size-large"><a href="https://vividmaps.com/wp-content/uploads/2022/04/Dog-Poop-Capitals_Worst-10-Map-UK.png"><img loading="lazy" decoding="async" width="819" height="1024" src="https://vividmaps.com/wp-content/uploads/2022/04/Dog-Poop-Capitals_Worst-10-Map-UK-819x1024.png" alt="The dog poop capital of the United Kingdom" class="wp-image-30257" srcset="https://vividmaps.com/wp-content/uploads/2022/04/Dog-Poop-Capitals_Worst-10-Map-UK-819x1024.png 819w, https://vividmaps.com/wp-content/uploads/2022/04/Dog-Poop-Capitals_Worst-10-Map-UK-240x300.png 240w, https://vividmaps.com/wp-content/uploads/2022/04/Dog-Poop-Capitals_Worst-10-Map-UK-768x960.png 768w, https://vividmaps.com/wp-content/uploads/2022/04/Dog-Poop-Capitals_Worst-10-Map-UK.png 1200w" sizes="auto, (max-width: 819px) 100vw, 819px" /></a></figure>



<h5 class="wp-block-heading">The Top 10 U.K. Cities With The Most Dog Poop</h5>



<figure class="wp-block-table is-style-stripes"><table><thead><tr><th><strong>City</strong></th><th><strong>Region</strong></th><th><strong># of tweets yearly per 100,000 population</strong></th></tr></thead><tbody><tr><td><strong>York</strong></td><td>Yorkshire and the Humber</td><td>97.6</td></tr><tr><td><strong>Norwich</strong></td><td>East of England</td><td>89.3</td></tr><tr><td><strong>Manchester</strong></td><td>North West</td><td>82.8</td></tr><tr><td><strong>Edinburgh</strong></td><td>Scotland</td><td>57.2</td></tr><tr><td><strong>Nottingham</strong></td><td>East Midlands</td><td>56.4</td></tr><tr><td><strong>Newcastle upon Tyne</strong></td><td>North East</td><td>51.5</td></tr><tr><td><strong>Liverpool</strong></td><td>North West</td><td>47.6</td></tr><tr><td><strong>Glasgow</strong></td><td>Scotland</td><td>45.0</td></tr><tr><td><strong>Cardiff</strong></td><td>Wales</td><td>34.4</td></tr><tr><td><strong>Bristol</strong></td><td>South West</td><td>33.9</td></tr></tbody></table></figure>
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		<title>Exotic Animal Laws by U.S. State Mapped</title>
		<link>https://vividmaps.com/exotic-animal-laws/</link>
					<comments>https://vividmaps.com/exotic-animal-laws/#comments</comments>
		
		<dc:creator><![CDATA[Alex]]></dc:creator>
		<pubDate>Mon, 08 Nov 2021 17:42:28 +0000</pubDate>
				<category><![CDATA[Animals]]></category>
		<category><![CDATA[Laws]]></category>
		<category><![CDATA[USA]]></category>
		<guid isPermaLink="false">https://vividmaps.com/?p=24336</guid>

					<description><![CDATA[<p>Four U.S. states have no law restrictions on keeping dangerous wild animals as pets (Alabama, Nevada, North Carolina, and Wisconsin). Six states regulate having hazardous animals as pets (Alabama, Nevada, North Carolina, Wisconsin, Delaware, and Oklahoma). Twenty-one U.S. states outlaw all dangerous exotic animals, while the rest need permissions. Thirty-five states forbid holding hazardous animals as pets, with differing exceptions and demands.</p>
<p>The post <a href="https://vividmaps.com/exotic-animal-laws/">Exotic Animal Laws by U.S. State Mapped</a> appeared first on <a href="https://vividmaps.com">Vivid Maps</a>.</p>
]]></description>
										<content:encoded><![CDATA[
<p class="wp-block-paragraph">Every U.S. state has exotic or wild animals laws defining if a species is allowed, forbidden, or needs specific permission. You can have a pet crocodile, python, or emu in some states, while others have banned pet rabbits or hamsters. Some U.S. states are more permissive than others. Find out what your state&#8217;s wild or exotic animal laws are, and before you take an animal to your home, examine with your <a rel="noreferrer noopener" href="https://www.findlaw.com/injury/torts-and-personal-injuries/exotic-animal-laws-by-state.html" target="_blank">local jurisdiction</a> to make sure the rules haven&#8217;t been altered.</p>







<p class="wp-block-paragraph">The map atlas below shows some well-known exotic and wild animals allowed or illegal to own in every state.</p>



<h4 class="wp-block-heading">Maps of Private Animal Ownership Laws</h4>



<h5 class="wp-block-heading">Big cats</h5>



<p class="wp-block-paragraph">There are about 4 thousand tigers left in the wild, but specialists state there are more than that in captivity in the United Sties alone, even though many states have strict restrictions on keeping these animals in captivity. The map below created by <a href="https://i.insider.com/574f3d15dd08955c2e8b4b48" target="_blank" rel="noreferrer noopener">Tech Insider</a> shows U.S. states where people can legally own <a href="https://vividmaps.com/big-cats/">big cats</a>.</p>



<figure class="wp-block-image size-large"><a href="https://vividmaps.com/wp-content/uploads/2021/11/big-cats.png"><img loading="lazy" decoding="async" width="1024" height="784" src="https://vividmaps.com/wp-content/uploads/2021/11/big-cats-1024x784.png" alt="Big cats ownership laws mapped" class="wp-image-28688" srcset="https://vividmaps.com/wp-content/uploads/2021/11/big-cats-1024x784.png 1024w, https://vividmaps.com/wp-content/uploads/2021/11/big-cats-300x230.png 300w, https://vividmaps.com/wp-content/uploads/2021/11/big-cats-768x588.png 768w, https://vividmaps.com/wp-content/uploads/2021/11/big-cats.png 1200w" sizes="auto, (max-width: 1024px) 100vw, 1024px" /></a></figure>



<h5 class="wp-block-heading">Bears</h5>



<p class="wp-block-paragraph">The 6 U.S. states have no restrictions on keeping bears (Nevada, Oklahoma, Wisconsin, Alabama, North Carolina, and South Carolina).</p>



<figure class="wp-block-image size-large"><a href="https://vividmaps.com/wp-content/uploads/2021/11/bears.jpg"><img loading="lazy" decoding="async" width="1024" height="586" src="https://vividmaps.com/wp-content/uploads/2021/11/bears-1024x586.jpg" alt="Bears ownership laws mapped" class="wp-image-28690" srcset="https://vividmaps.com/wp-content/uploads/2021/11/bears-1024x586.jpg 1024w, https://vividmaps.com/wp-content/uploads/2021/11/bears-300x172.jpg 300w, https://vividmaps.com/wp-content/uploads/2021/11/bears-768x440.jpg 768w, https://vividmaps.com/wp-content/uploads/2021/11/bears.jpg 1100w" sizes="auto, (max-width: 1024px) 100vw, 1024px" /></a></figure>



<h5 class="wp-block-heading">Monkeys</h5>



<p class="wp-block-paragraph">The yellow states in the map below created by Reddit user Logans_Beer_Run are the states in which it is legal to own monkeys.</p>



<figure class="wp-block-image size-large"><a href="https://vividmaps.com/wp-content/uploads/2021/11/monkey-ownership.jpg"><img loading="lazy" decoding="async" width="1024" height="605" src="https://vividmaps.com/wp-content/uploads/2021/11/monkey-ownership-1024x605.jpg" alt="Monkeys ownership laws mapped" class="wp-image-28694" srcset="https://vividmaps.com/wp-content/uploads/2021/11/monkey-ownership-1024x605.jpg 1024w, https://vividmaps.com/wp-content/uploads/2021/11/monkey-ownership-300x177.jpg 300w, https://vividmaps.com/wp-content/uploads/2021/11/monkey-ownership-768x454.jpg 768w, https://vividmaps.com/wp-content/uploads/2021/11/monkey-ownership.jpg 1200w" sizes="auto, (max-width: 1024px) 100vw, 1024px" /></a></figure>



<h5 class="wp-block-heading">Fox</h5>



<p class="wp-block-paragraph">In a small quantity of U.S. states, certain fox species are <a rel="noreferrer noopener" href="https://www.exoticanimalsforsale.net/articles/where-are-pet-foxes-legal.asp" target="_blank">permitted as pets</a>. Approximately 14 states allow the private possession of red foxes, 13 U.S. states allow the personal possession of fennec foxes, 11 states need permission to possess at least one fox species that it will enable, only 15 U.S. states allow some foxes species with or without a permit.</p>



<p class="wp-block-paragraph">You can legitimately own a fox in Arkansas, Florida, Indiana, Kentucky, Michigan, Missouri, Nebraska, New York, North Dakota, Ohio, Oklahoma, South Dakota, Utah, Tennessee, and Wyoming. The map below shows these states.</p>



<figure class="wp-block-image size-large"><a href="https://vividmaps.com/wp-content/uploads/2021/11/Fox.jpg"><img loading="lazy" decoding="async" width="1024" height="719" src="https://vividmaps.com/wp-content/uploads/2021/11/Fox-1024x719.jpg" alt="Fox ownership laws mapped" class="wp-image-28696" srcset="https://vividmaps.com/wp-content/uploads/2021/11/Fox-1024x719.jpg 1024w, https://vividmaps.com/wp-content/uploads/2021/11/Fox-300x211.jpg 300w, https://vividmaps.com/wp-content/uploads/2021/11/Fox-768x540.jpg 768w, https://vividmaps.com/wp-content/uploads/2021/11/Fox-130x90.jpg 130w, https://vividmaps.com/wp-content/uploads/2021/11/Fox.jpg 1200w" sizes="auto, (max-width: 1024px) 100vw, 1024px" /></a></figure>



<h5 class="wp-block-heading">Raccoon </h5>



<p class="wp-block-paragraph">It&#8217;s legal to own a raccoon as a pet in Arkansas, Delaware, Florida, Indiana, Nebraska, North and South Carolina, Michigan, Wyoming, Wisconsin, Texas, Rhode Island, Oklahoma, Pennsylvania, West Virginia.</p>



<p class="wp-block-paragraph">Some U.S. states have additional regulations for owning a raccoon as a pet. For instance, in North Carolina, a veterinary must approve the animal before being carried into the state. In Arkansas, you cannot keep more than 5 raccoon animals at a time. The yellow states in the map created by Reddit user <a href="https://www.reddit.com/user/toddrjones/" target="_blank" rel="noreferrer noopener">toddrjones</a> show the states in which it is legal to own a raccoon.</p>



<figure class="wp-block-image size-full"><a href="https://vividmaps.com/wp-content/uploads/2021/11/raccoons.jpg"><img loading="lazy" decoding="async" width="1000" height="711" src="https://vividmaps.com/wp-content/uploads/2021/11/raccoons.jpg" alt="Raccoon ownership laws mapped" class="wp-image-28698" srcset="https://vividmaps.com/wp-content/uploads/2021/11/raccoons.jpg 1000w, https://vividmaps.com/wp-content/uploads/2021/11/raccoons-300x213.jpg 300w, https://vividmaps.com/wp-content/uploads/2021/11/raccoons-768x546.jpg 768w" sizes="auto, (max-width: 1000px) 100vw, 1000px" /></a></figure>



<h5 class="wp-block-heading">Otter</h5>



<p class="wp-block-paragraph">The Asian clawed otter is the only species of otter that allowed owning in the United States because this species is federally illegal due to the Marine Mammal Protection Act. Asian clawed otters aren&#8217;t federally unlawful because they are not marine animals, but they are assuredly not legal to own in every U.S. state. The states in which it is legal to own an otter are colored yellow.</p>



<figure class="wp-block-image size-large"><a href="https://vividmaps.com/wp-content/uploads/2021/11/otter.jpg"><img loading="lazy" decoding="async" width="1024" height="712" src="https://vividmaps.com/wp-content/uploads/2021/11/otter-1024x712.jpg" alt="Otter ownership laws mapped" class="wp-image-28701" srcset="https://vividmaps.com/wp-content/uploads/2021/11/otter-1024x712.jpg 1024w, https://vividmaps.com/wp-content/uploads/2021/11/otter-300x209.jpg 300w, https://vividmaps.com/wp-content/uploads/2021/11/otter-768x534.jpg 768w, https://vividmaps.com/wp-content/uploads/2021/11/otter-392x272.jpg 392w, https://vividmaps.com/wp-content/uploads/2021/11/otter-130x90.jpg 130w, https://vividmaps.com/wp-content/uploads/2021/11/otter.jpg 1200w" sizes="auto, (max-width: 1024px) 100vw, 1024px" /></a></figure>



<h5 class="wp-block-heading">Skunk</h5>



<p class="wp-block-paragraph">Wild skunks are hardly good pets. That&#8217;s why this animal is currently <a href="https://www.skunkhaven.net/StatesForm.htm" target="_blank" rel="noreferrer noopener">legal to own</a> only in 15 U.S. states.</p>



<figure class="wp-block-image size-full"><a href="https://vividmaps.com/wp-content/uploads/2021/11/skunks.jpg"><img loading="lazy" decoding="async" width="958" height="677" src="https://vividmaps.com/wp-content/uploads/2021/11/skunks.jpg" alt="Skunk ownership laws mapped" class="wp-image-28703" srcset="https://vividmaps.com/wp-content/uploads/2021/11/skunks.jpg 958w, https://vividmaps.com/wp-content/uploads/2021/11/skunks-300x212.jpg 300w, https://vividmaps.com/wp-content/uploads/2021/11/skunks-768x543.jpg 768w" sizes="auto, (max-width: 958px) 100vw, 958px" /></a></figure>



<h5 class="wp-block-heading">Kangaroo</h5>



<p class="wp-block-paragraph">It&#8217;s illegal to keep a kangaroo as a pet in the preponderance of the United States. Only in Wisconsin, West Virginia, and South Carolina, it&#8217;s legal to own this animal without any permission.</p>



<figure class="wp-block-image size-full"><a href="https://vividmaps.com/wp-content/uploads/2021/11/cangaroo-ownership.jpg"><img loading="lazy" decoding="async" width="1000" height="584" src="https://vividmaps.com/wp-content/uploads/2021/11/cangaroo-ownership.jpg" alt="The legality of kangaroo ownership mapped" class="wp-image-28706" srcset="https://vividmaps.com/wp-content/uploads/2021/11/cangaroo-ownership.jpg 1000w, https://vividmaps.com/wp-content/uploads/2021/11/cangaroo-ownership-300x175.jpg 300w, https://vividmaps.com/wp-content/uploads/2021/11/cangaroo-ownership-768x449.jpg 768w" sizes="auto, (max-width: 1000px) 100vw, 1000px" /></a></figure>



<p class="wp-block-paragraph">Four U.S. states have no law restrictions on keeping dangerous wild animals as pets (Alabama, Nevada, North Carolina, and Wisconsin). Six states regulate having hazardous animals as pets (Alabama, Nevada, North Carolina, Wisconsin, Delaware, and Oklahoma). Twenty-one U.S. states outlaw all dangerous exotic animals, while the rest need permissions. Thirty-five states forbid holding hazardous animals as pets, with differing exceptions and demands.</p>



<h4 class="wp-block-heading">Wild and Exotic Animal Laws by U.S. State</h4>



<h5 class="wp-block-heading">Alabama</h5>



<p class="wp-block-paragraph">Mongooses, Giant African snails, Tegus, Walking catfish, Coyotes, Foxes, Raccoons, Skunks, Wild rodents, Wild turkeys, Venomous snakes, Black bears, Mountain lions, Bobcats, Antelope, Pigs, and <a href="https://codes.findlaw.com/al/title-9-conservation-and-natural-resources/al-code-sect-9-2-7.html" target="_blank" rel="noreferrer noopener">others</a>, including native <a href="https://www.fws.gov/international/laws-treaties-agreements/us-conservation-laws/lacey-act.html" target="_blank" rel="noreferrer noopener">injurious wildlife species</a>.</p>



<h5 class="wp-block-heading">Alaska</h5>



<p class="wp-block-paragraph">No one can own, trade, import, or export live game animals in Alaska unless expressly permitted and listed in <a href="http://www.akleg.gov/basis/aac.asp#5.92.029" target="_blank" rel="noreferrer noopener">92.029 (b)</a>.</p>



<h5 class="wp-block-heading">Arizona</h5>



<p class="wp-block-paragraph">Golden moles, Tenrecs, Even-toed ungulates, Pronghorns, Antelopes, Bison, Buffalo, Cattle, Duikers, Gazelles, Goats, Oxen, Sheep, Water buffalo, American bison, Bison, Buffalo, Cervids, Deer, Elks, Moose, Red deer, Wapiti, Peccaries, Bears, Foxes, Ocelot, Raccoons, Servals, Skunks, Wolves, Weasels, Bats, American opossum, European hedgehogs, Gymnures, Moonrats, Wild hares, Chimpanzees, Gorillas, Macaques, Orangutans, Spider monkeys, Hutias, Beavers, Jumping mice, Coypus, Nutrias, Pocket gopher, Chipmunks, Marmots, Prairie dogs, Squirrels, Woodchucks, Desmans, Moles, Shrews, Shrew-moles, Anteaters, Armadillos, Sloths, Grouse, Pheasants, Partridges, Quails, Turkeys, Alligators, Caimans, Crocodiles, Gavials, Burrowing asps, Brown tree snakes, Boomslangs, Keelbacks, Bird snakes, Elapids, Cobras, Coral snakes, Kraits, Mambas, Sea snakes, Gila monsters, Mexican beaded lizards, Pit and true vipers, Rattlesnakes, Snapping turtles, Gopher turtles, Desert turtles, Giant or marine toads, Bullfrogs, Leopard frogs, Clawed frogs.</p>



<h5 class="wp-block-heading">Arkansas</h5>



<p class="wp-block-paragraph">Mountain lions, Tigers, African lions, Bears, Apes, Baboons, Macaque, Non-native birds, Bats, Alligator snapping turtles, Ornate box turtles, Ozark hellbenders, Ouachita streambed salamanders, Collared lizards, Troglodytic and Endangered species.</p>



<h5 class="wp-block-heading">California</h5>



<p class="wp-block-paragraph">Ferrets, Morro Bay kangaroo rats, Bighorn sheep (besides Nelson bighorn sheep), Northern elephant seals, Guadalupe fur seals, Ring-tailed cats, Pacific right whales, Salt-marsh harvest mice, Southern sea otters, Wolverines, Primates, Falcons, Hawks, Crows, Marsupials, Sloths, Hedgehogs, Wild rodents, Zebras, Mongooses, Gerbils</p>



<h5 class="wp-block-heading">Colorado</h5>



<p class="wp-block-paragraph">Wildebeests, Wild hogs, Raccoons, Skunks, Hedgehogs, Opossums, Squirrels, Porcupines, Monk parakeets, Primates, Alligators, Crocodiles</p>



<h5 class="wp-block-heading">Connecticut</h5>



<p class="wp-block-paragraph">Lions, Leopards, Cheetahs, Jaguar, Bobcat, Puma, Lynx, Ocelot, Wolf, Coyote,  wild dogs, Bears, Gorilla, Chimpanzee, Orangutan, Hyaena, Kangaroos, Wallabies, and <a rel="noreferrer noopener" href="https://codes.findlaw.com/ct/title-26-fisheries-and-game/ct-gen-st-sect-26-40a.html" target="_blank">Hybrids</a>.</p>



<h5 class="wp-block-heading">Delaware</h5>



<p class="wp-block-paragraph">No specific animal species are forbidden.</p>



<h5 class="wp-block-heading">District of Columbia</h5>



<p class="wp-block-paragraph">Banned all hybrid dogs with wolves, coyotes, jackals, and hybrid cats with margays or ocelots. </p>



<h5 class="wp-block-heading">Florida</h5>



<p class="wp-block-paragraph">Baboons, Bears, Black caimans, Cape buffalos, Cheetahs, Chimpanzees, Cougars, Crocodiles, Drills and mandrills, Elephants, Gavials, Gelada baboons, Gibbons and siamangs, Gorillas, Hippopotamuses, Hyenas, Aardwolves, Jaguars, Komodo dragons, Leopards, Lions, Orangutans, Rhinoceros, Snow leopards, Tigers, Wild foxes, Skunks, Bats, Raccoons, Whitetail deer, and  Venomous reptiles.</p>



<h5 class="wp-block-heading">Georgia</h5>



<p class="wp-block-paragraph">Wallabies, Kangaroos, Shrews, Moles, Hedgehogs, Tenrecs, Bats, Monkeys, Apes, Sloths, Armadillos, Pangolins, Anteaters, Wild hares, Rabbits, Cabybaras, Cavies, Prairie dogs, Degus, Whales, Dolphins, Weasels, Ferrets, Foxes, Wild cats, Wolves, Wolf hybrids, Savannah cats and cat hybrids, Aardvarks, Elephants, Conies, Manatees, Dugongs, Most hoof stock, Rhinoceros, Warthogs, Hippopotamus, Hawks, Eagles, Vultures, Wild turkeys, Cuckoos, Owls, Skylarks, Bulbuls, Thrushes, White-eyes, Yellowhammers, Sparrows, Cape, and baya weavers, Queleas, Blackbirds, Monk parakeet, Java sparrow, Starlings, Mynas, Crows, Ravens, Crocodiles, Gavials, Alligators, Venomous colubrid snakes, Gila monsters, Beaded lizards, Giant and marine toads, Banded tetras, Piranha, Grass, silver, and bighead carp, Air-breathing catfish, Giant walking catfish, Snakeheads, Fresh-water stingrays</p>



<h5 class="wp-block-heading">Hawaii</h5>



<p class="wp-block-paragraph">Hedgehogs, Hamsters, Ferrets, Snakes, Gerbils, Lions, Tigers, Cheetahs, Jaguars, Cougars, Leopards, Clouded leopards, Caracals, Ocelots, Margays, Servals, Bears, Wolves, Hyenas, Aardvarks, Elephants, Hippopotamus, Rhinoceros, Non-human primates, Crocodilians, Bloodworms, Hermit crabs, Freshwater crabs, Honeybees, Mexican jumping bean moths, Jellyfish, Freshwater clams, Octopuses, Salamanders, Sirens, Frogs, Cuban tree frogs, Snakes, Gila monsters, Nicaraguan freshwater sharks, Freshwater stingrays, Spotted and Banded carpet sharks, Lampreys, Bowfins, Dogfishes, Mudfishes, Eels, Electric eels, Freshwater morays, Silversides, Needlefish, Halfbeaks, Pike minnows, Piranhas, Cacchorros, Characins, Lizard fish, Pirarucu, Snake heads, Pike cichlids, Lion fish, Scorpion fish, Catfish, Hummingbirds, Pigeons, Doves, Crow, Finches, Grouses, Bulbuls, Sparrows, Orioles, Vermillion cardinals, Mynas, Starlings, Parrots, Parakeets, Parrolets, Caiques, Bats, Flying foxes, Wild hares, Porcupine, Dog, Cat and another hybrids with an illegal animal.</p>



<h5 class="wp-block-heading"><br>Idaho</h5>



<p class="wp-block-paragraph">It is prohibited to take endangered and threatened species, large predatory and big game wildlife, and hold them as pets.</p>



<h5 class="wp-block-heading"><br>Illinois</h5>



<p class="wp-block-paragraph">Bears, Lions, Tigers, Leopards, Ocelots, Jaguars, Cheetahs, Margays, Cougars, Lynx, Bobcats, Jaguarundis, Wolves, Coyotes, Hyenas, Flying fox, Mongoose, Meerkats, European rabbits, Indian wild hogs, Multimammate rats or mice, Raccoon dogs, Rosy pastors, Doiches, Java sparrows, Red-whiskered bulbuls, Snakeheads, Walking catfish, Ruffes, Silver carp, Bighead carp, Black carp, Round and tubenose gobies, Rudds, Stone morokos, Zanders, Wels catfish, Yabbies, Zebra mussels, Mitten crabs, Rusty crayfish, Filler shrimp, Golden mussels, Brown tree snakes and Venomous medically important reptiles.</p>



<h5 class="wp-block-heading"><br>Indiana</h5>



<p class="wp-block-paragraph">Indiana doesn&#8217;t explicitly prohibit having any animals as pets.</p>



<h5 class="wp-block-heading"><br>Iowa</h5>



<p class="wp-block-paragraph">Wild canines and cats, Bears, Pandas, Hyenas, Aardwolves, Rhinoceros, Elephants, Non-human primates, Marmosets, Tamarins, Monkeys, Lemurs, Galagos, Bushbabies, Great and  Lesser apes, Gibbons, Indris, Sifakas, Tarsiers, Crocodiles, Alligators, Caimans, Gharials, Water, and Crocodile monitors, Mole vipers, Burrowing asps, Beaded lizard, Gila monster, Reticulated python, Cobras, Mambas, Coral snakes, Kraits, Adders, Vipers, Rattlesnakes, Copperheads, keelbacks, Cottonmouths, Sea snakes, Anaconda, African rock python, Russian, European and Wild boars,  Vipers and Hybrids.</p>



<h5 class="wp-block-heading"><br>Kansas</h5>



<p class="wp-block-paragraph"><a rel="noreferrer noopener" href="https://codes.findlaw.com/ks/chapter-32-wildlife-parks-and-recreation/ks-st-sect-32-1301.html" target="_blank">Dangerous wildlife species</a>: Lions; Tigers; Leopards; Jaguars; Cheetahs; Mountain lions; Bears and Hybrids. <a rel="noreferrer noopener" href="https://sos.ks.gov/publications/pubs_kar_Regs.aspx?KAR=115-18-10&amp;Srch=Y" target="_blank">Invasive species</a>: Monk parakeet; Asian raccoon dog, Walking catfish; Silver,  Bighead,  Crucian  and Black carps; Wels catfish; Eurasian minnow; Stone moroko; Snakehead; Round goby; White, European and Nile perches; Roach grandfathered; Amur sleeper; Zander; Zebra and Quagga mussels; New Zealand mudsnails; Diploid grass carp; Marbled crayfish; Common yabbies; <br>Commensal rodents; Gophers; Ground squirrels; Kangaroo and Wood rats; Porcupines; Prairie dogs; Woodchucks; Non-native venomous snakes.</p>



<h5 class="wp-block-heading"><br>Kentucky</h5>



<p class="wp-block-paragraph">Alligators, Caimans, Crocodiles, Gavials, Gila monsters, Beaded lizards, Komodo dragons, African buffalo, Bears, Elephants, Hippopotamus, Rhinoceros, Cheetahs, Clouded leopards, Lions, Jaguars, Leopards, including snow leopards, Tigers, Honey and  Old World badgers, Wolves, Wolverines, Hyenas, Gorillas, Baboons, Drills, Mandrills, Sea and Coral snakes,  Copperbelly water snakes, Cobras, Adders, Vipers, Venomous exotic snakes except for hognose snakes, Wild turkeys, Alligator snapping turtles and hybrids; non-native blackbirds, Baya weavers, Cape sparrows, Non-native cowbirds, Non-native cuckoos, Queleas, Fieldfares, Flying foxes,<br>Fruit bats, Foxes, Gambian giant pouched and Multimammate rats, Giant, marine, and cane toads,  Tongueless and African clawed frogs, Hawaiian rice bird or spotted munias, Jackrabbits, Java sparrows, Madagascar weavers, Mistle thrushes, Monk or Quaker parakeets, Mute swans, Nutrias, Prairie and Raccoon dogs, San Juan rabbits, Skylarks, Song thrushes, Starlings (except Indian Hill mynahs), Suricates and slender-tailed meerkats, Weaver finches (except Passer), White-eyes, Wild European rabbits, Yellowhammers, Wild and feral pigs, Eurasian and Russian boars, Domestic or wild hybrids; Endangered species.</p>



<h5 class="wp-block-heading"><br>Louisiana</h5>



<p class="wp-block-paragraph">Dangerous wild nature species: Black, grizzly, and polar bears; Red and gray wolves;  Coyotes;  Foxes;  Cougars;  Tigers; Lions; all species of Leopards; Jaguars; Cheetahs;  and all subspecies or hybrids of all these big cats. Endangered and threatened species: Mississippi gopher frogs; Gopher tortoises; Green sea, Hawksbill sea, Kemp&#8217;s ridley sea, Leatherback sea, Loggerhead sea, and Ringed sawback turtles.</p>



<h5 class="wp-block-heading">Maine</h5>



<p class="wp-block-paragraph">Monk parakeets, Mute swans, Burrowing parrots, Laughing kookaburras, Austral and  Alender-billed, Anatidae, Hornbills, Cassowaries, Emus, Storks, Pigeons, Doves, Rollers, Crows, Chachalaca, Guans, Cussarows, Cranes, Turacos, Pheasants, Flamingos, Trumpeters, Toucans, Penguins, New Zealand parrots, Starlings, Bearded barbets, Birds of prey, Shorebirds, Bustards, Pelicans, Owls, Ostriches, Prevost&#8217;s squirrels, Hoffman&#8217;s two-toed sloths, Brazilian porcupines, Black-tailed prairie dogs, Red-rumped agouti, Long-nosed armadillos, Pronghorn family, Mountain beavers, Bovids, Canids, Beavers, Cervids, Elephants, Quidae, Felids, Giraffes, Hippopotamus, Hyenas, Aardwolves, Kangaroos, Wallabies, Mustelids, Walrus, Eared and true seals, Rhinoceros, Pigs, Tapirs, Viverrids, Crested porcupines, Gray short-tailed opossum, Cetacea, Bats, Primates, Sea cows, Aardvark, Kinkajou, Southern tamandua, Asiatic linsangs, Deer, Moose, Wild turkeys, Hybrids</p>



<p class="wp-block-paragraph">Moreover, some captive-bred animals cannot be kept as home pets: Western dwarf clawed frogs; African clawed frogs; Golden,  Yellow, Green, Brown and Bernhard&#8217;s mantellas; Puerto Rican boas; Grand Cayman blue iguanas; Eastern indigo and  Atlantic Salt Marsh snakes; Eunectes; Elapidae; Beaded lizards; Gila monsters; Viperidae; Gopher tortoises; Isla Todos Santos king and  Louisiana pine snakes; Amethystine, Scrub,  Indian,  Southern African rock,  Northern African rock and  Reticulated pythons; Crocodilians; Chinese softshell tortoises; Common box, Gulf Coast box, and Three-toed box turtles; Pond and Red-eared sliders.</p>



<p class="wp-block-paragraph">Rare and endangered species: New England cottontails; Little brown, Easter small-footed and  Northern long-legged bats; Least terns; Golden eagles; Piper plovers; Sedge wrens; Grasshopper sparrows; Roseate and Black terns; American pipets; Peregrine falcons; Black-crowned night herons; Least bitterns;  Black racers; Box and  Blanding&#8217;s turtles; Redfin pickerels; Six-whorl vertigos; Edward&#8217;s and Hessel&#8217;s hairstreaks; Katahdin arctics; Juniper hairstreaks; Rapids clubtails; Cobblestone tiger beetles; Frigga fritiliaries; Northern bog lemmings; Razorbills; Harlequin ducks; Arctic terns; Upland sandpipers; Common gallinules; Great cormorants; Short-eared owls; Barrow&#8217;s goldeneyes;  Leatherback,  Atlantic ridley,  Loggerhead,  Spotted and Swamp turtles; Swamp darters; Tidewater muckets; Yellow lampmussels; Brook floaters; Whales; Shortnose sturgeons.</p>



<h5 class="wp-block-heading"><br>Maryland</h5>



<p class="wp-block-paragraph">Felines and hybrids more than 30 pounds; Canines and hybrids; Foxes; Skunks; Raccoons; Non-human primates; Lemurs; Monkeys; Chimpanzees; Gorillas; Orangutans; Marmosets; Loris; Tamarins; Bears; Caimans; Alligators; Crocodiles Poisonous snakes (Hydrophidae, Elapidae, Viperidae, Colubridae, and Crotolidae families); Cervids; Eastern tiger, Green, Jefferson and Wehrle&#8217;s salamanders; Eastern hellbenders; Mudpuppies; Eastern narrow-mouthed toads; Carpenter, Mountain chorus,<br>Barking tree frogs; Northern map, Leatherback sea, Loggerhead sea, Green sea, Atlantic hawksbill, Bog, and Kemp&#8217;s ridley sea turtles; Spiny softshell; Northern coal skinks; Copperheads.</p>



<h5 class="wp-block-heading">Massachusetts</h5>



<p class="wp-block-paragraph">Threatened or endangered listed in the Red Books.</p>



<h5 class="wp-block-heading"><br>Michigan</h5>



<p class="wp-block-paragraph">Wildlife species: Cheetah; Cougar; Jaguar; All leopards; Lion; Panther; Tiger; Bears; Hybrids of wolfs and big carnivore cats. Native endangered species: Eastern massasaugas; Queen,  Copper-bellied water, Eastern fox and  Kirtland&#8217;s snakes; Wood, Eastern box, Butler&#8217;s garter, Spotted, Smooth green and Blanding&#8217;s turtles; Grey rat snakes (except for common albino colors); Boreal chorus frogs; Western lesser sirens; Mudpuppies; Fowler&#8217;s toads; Pickerel and  Blanchard&#8217;s cricket frogs; Northern dusky and  Northern two-lined salamanders; Mink frogs; Six-lined racerunners; Marbled and Small-mouth salamanders.<br></p>



<h5 class="wp-block-heading">Minnesota</h5>



<p class="wp-block-paragraph">Felines (except domestic cats) and hybrids, Bears, Non-human primates, Deer, Wolves, Mourning doves, Bats, Snakes, Salamanders, Lizards, White-tailed and mule, deer, Moose, Elks, Antelopes, Caribou, Game birds, Gray and Fox squirrels, Cottontail rabbits, Snowshoe hares, Jackrabbits, Raccoons, Lynx, Bobcats, Short-tailed and Long-tailed weasels, Red fox and gray foxes, Fishers, Pine martens, Opossum, Badgers, Cougars, Wolverines, Muskrats, Minks, Otters, Beavers, Lake and shovelnose surgeons, American eels, Black and white crappies, Largemouth, rock, smallmouth, white and yellow bass, Sunfish and hybrids, Muskellunges, <br>Northern pikes, Burbots, Blue, channel, and flathead catfish, Saugers, Walleyes, Yellow perch, Paddlefish, Atlantic, chinook, coho, kokanee, and pink salmon<br>Brook, brown, lake, and rainbow trout, Ciscos, Lake whitefish, Carp, Buffalo, and Sucker fish, Sheepsheads, Bowfins, Gars, Goldeyes, Bullheads, Minnows, Leeches, Alewives, Chubs, Coregoninae, Rainbow smelt, Frogs, Turtles, Clams, Mussels.</p>



<h5 class="wp-block-heading"><br>Mississippi</h5>



<p class="wp-block-paragraph">Alligator.</p>



<h5 class="wp-block-heading"><br>Missouri</h5>



<p class="wp-block-paragraph">Large and predatory animals: Tigers, Lions, Jaguars, Snow and Clouded leopards, Cheetahs, Big cat hybrids, Non-native bears.</p>



<h5 class="wp-block-heading"><br>Montana</h5>



<p class="wp-block-paragraph">Bears, Big cats, Skunk, Foxs, Bats, Raccoons, African clawed frogs, North American bullfrogs, Rusty and  Walking crayfish, Bighead, black, grass, and silver carp, Eurasian ruffes, Round gobies, Snakeheads, White perch, Zanders, African natal rats, Multimammate mice, Argali sheep, Brush-tailed and Short-tailed possum, Hyenas, Aardwolves, Nutrias, Small spotted genets, Southern flying squirrels, Virginia opossum, Transcapian urial sheep, All monkeys and apes, New Zealand mudsnails, Quagga and Zebra mussels, Alligators, Crocodiles, Caimans, Red-eared sliders, African rock, Amethystine, Burmese and Reticulated pythons, Boomslangs, Green anaconda, Coral snakes, Cobras, Kraits, Mambas, Non-native Viperidae, California and Gambrel&#8217;s quail.</p>



<h5 class="wp-block-heading"><br>Nebraska</h5>



<p class="wp-block-paragraph">Wolves, Skunks, Felines (excluding domestic cats), Bears, Hawks, Owls, Eagles, Jackrabbits, Short-horned lizards, Asian raccoon dogs, Whitetailed, Mule, and Red deer, Wild pigs, Bighorn and thinhorn sheep (in some counties), and endangered animal species.</p>



<h5 class="wp-block-heading"><br>Nevada</h5>



<p class="wp-block-paragraph">Wild hogs, Red deer elk and Wapiti, Axis, Rusa, Sambar, Sika, Roe and white-tailed deer, Moose, Reedbucks, Oryxes and gemsboks, Addaxes, Blesboks, topi and bonteboks,  Raccoon and Wild dogs, Mongooses, Meerkats, Wild European rabbits, Multimammate rats, bats, Nutrias, Coyotes, Foxes, Raccoons, Skunks, Hartebeests, Wildebeest and gnus, Chamois, Tahrs, Ibex, wild goats, turs and markhors, Barbary and Mouflon sheep, urials, bighorn and argali, Alligators and Crocodiles, Gharials, Bird snakes, Boomslangs, Keelbacks, Burrowing asps, Coral snakes, cobras, kraits, mambas, Australia elapids, Pit vipers and true vipers (excluding indigenous species), Snapping turtles, Giant or marine toads, Clawed frogs, Pink starlings, Rosy pastors, Red-billed dioches, Red-whiskered bulbuls<br>Lampreys, Freshwater stingrays, Freshwater sharks, Bowfins, Gars, Herrings and shads (excluding threadfins and gizzards), European whitefish, Mexican banded tetras, Piranhas, South American parasitic catfish, White perch, Freshwater drums, Grass carp, Pike topminnows, Snakeheads, Walking catfish, Tigerfish, Sticklebacks, Tilapia, Nile perch, Goldeyes, Carps, Rudds, Northern pikes, Asian swamp eels, New Zealand mudsnails, African giant snails, Zebra and quagga mussels, Crayfish, Asiatic mitten crabs.</p>



<h5 class="wp-block-heading"><br>New Hampshire</h5>



<p class="wp-block-paragraph">Armadillos, Anteaters, Badgers, Barbary sheep, Bears, Beavers, Wild boars, Bobcats, Chipmunks, Deer, Elephants, Kangaroos, Kinkajous, Lemmings, Leopards, Lions, Lynx, Mongooses, Mouse, Muskrat, Virginia opossum, Prairie dogs, Porcupines, Primates, Raccoons, African pouched rats, Shrews, Skunks, Squirrels, including Flying squirrels, Tigers, Voles, Wallabies, Water buffalo, Weasels, Wolverines, Wolves, Zebras, Zebra mussels, Spiny and Fishhook waterfleas, Non-indigenous catfish, Asiatic clams, Walking catfish, White amurs; Grass, Black,  Bighead and  Silver carps, European rudds, Round and Tubenose gobies, Ruffes, Snakeheads.</p>



<h5 class="wp-block-heading"><br>New Jersey</h5>



<p class="wp-block-paragraph">Elephants, Rhinoceros, Lions, Leopards, Cheetahs, and any African species, Tigers, Pangolins, Marine turtles, Rays, Monkeys, Baboons, Apes,  Bears,  Nondomestic dogs and cats, Gila monsters, Coral snakes, Cobras, Alligators, Caimans, Crocodiles, Gavials, Ring-necked parakeets, Monk parakeets, Patagonia conures, Ground squirrels.</p>



<h5 class="wp-block-heading"><br>New Mexico</h5>



<p class="wp-block-paragraph">Felines, Crocodiles, Wolves, Alligators, Primates but many New Mexico municipalities have much more stringent exotic animal legislation than the state level.</p>



<h5 class="wp-block-heading">New York</h5>



<p class="wp-block-paragraph">Non-human primates; Prosimians; Wild dogs; Big cats and hybrids; Bears; All venomous snakes; Burmese, Reticulated, African rock,  Australian amethystine, and Indian pythons; Green and Yellow anaconda; Asiatic, Nile, Whitethroat, Black throat and Crocodile monitors; Komodo dragons; Crocodiles; Racoon dogs; Wolfdogs; Coyotes.</p>



<h5 class="wp-block-heading">North Carolina</h5>



<p class="wp-block-paragraph">Cities and counties regulate the ownership of dangerous wild nature animals.</p>



<h5 class="wp-block-heading">North Dakota</h5>



<p class="wp-block-paragraph">Skunks, Racoons, and Venomous reptiles.</p>



<h5 class="wp-block-heading">Ohio</h5>



<p class="wp-block-paragraph">Dangerous species: Hyenas; Pure grey wolves; Lions; Tigers; Jaguars; Leopards; Cheetahs; Lynx; Cougars; Caracals; Servals; Cat hybrids; Bears; Elephants, Rhinoceros; Hippopotamus; Cape buffalo; African wild dogs; Komodo dragons; Alligators; Crocodiles; Caimans except for dwarfs; Gharials; Non-human primates except lemurs; Golden,  Golden-rumped, and Black-faced lions; Cotton-top, Emperor, Saddlebacked, black-mantled and Geoffrey&#8217;s tamarins; Southern and northern night monkeys; Dusky titi and masked titi monkeys; Muriquis, Goeldi&#8217;s monkeys; White-faced, black-bearded, white-nose bearded, and monk sakis;<br>Bald and black uakaris; Black-handed, white-bellied, brown-headed, and black spider monkeys; Common woolly monkeys; Red, black, and mantled howler monkeys. Invasive species: Walking catfish; Diploid white amur; Diploid grass, Silver, and Black carp; Ruffes; Round gobies; Snakeheads; White perch; Three spin sticklebacks; Sea lampreys; Eastern banded killifish, or hybrids; Raccoon dogs; Marrons; Yabbies; Zebra and Quagga mussels, Rudds.</p>



<h5 class="wp-block-heading">Oklahoma</h5>



<p class="wp-block-paragraph">Native bears and wild cats over 50 pounds.</p>



<h5 class="wp-block-heading">Oregon</h5>



<p class="wp-block-paragraph">Non-human primates; Bears (except the America Black Bear); Non-indigenous canines and felines which are not domestic or domestic hybrids; Skunks; Crocodilians.</p>



<h5 class="wp-block-heading">Pennsylvania</h5>



<p class="wp-block-paragraph">The state doesn&#8217;t explicitly list exotic pets that are illegal to own.</p>



<h5 class="wp-block-heading">Rhode Island</h5>



<p class="wp-block-paragraph">Wild nature carnivores and hybrids; Mute swans; Mudpuppies; American bullfrogs; Zebra mussels; Spiny and Fishhook waterfleas; Non-indigenous crayfish; Asiatic clams; Grass carp; White amurs; Rudds; Walking catfish; Snakeheads; Black carp; Round and Tubenose gobies; Ruffes; Eastern American toads; Eastern red-backed salamanders; Eastern spadefoots; Four-toed salamanders; Fowler&#8217;s toads; Gray treefrogs; Marbled, Northern dusky salamanders; Wood, Northern green and Northern leopard frogs; Northern spring, Northern two-lined and Spotted salamanders; Pickerel frogs; Red-spotted newts; Spring peepers; Wood, Spotted, Eastern box, Eastern musk, Eastern painted, and Eastern snapping turtles; Northern diamond-backed terrapins; Common ribbon, Common water, Eastern garter, Eastern hog-nosed, Eastern milk, Eastern rat,  Northern brown, Northern red-bellied, Northern ring-necked, Smooth green, and Timber rattle snakes; Northern black racers; American beavers; American minks; Big brown,  Silver-haired and  Small-footed and  Tri-colored  bats ; Black bears; Bobcats; Common muskrats; Eastern chipmunks; Eastern cottontails; Eastern coyotes; Eastern gray squirrels; Eastern moles; Eastern red, Little brown, Gray, Fisher,  Northern long-eared and Hoary bats; Hairy-tailed moles; Long-tailed weasels; Masked shrews; Meadow voles; Moose; New England cottontails; Northern short-tailed shrews; Porcupines; Raccoons; Red foxes; Red squirrels; River otters; Short-tailed weasels; Smoky shrews; Snowshoe hares; Southern bog lemmings; Southern flying squirrels; Southern red-backed and  Woodland voles; Star-nosed moles; Striped skunks; Virginia opossum; Water shrews; White-footed and  Woodland jumping mice; White-tailed deer<br>Woodchucks;  mice. </p>



<h5 class="wp-block-heading">South Carolina</h5>



<p class="wp-block-paragraph">Lions, Tigers, Leopards, Jaguars, Cheetahs, Snow leopards, Non-native bears, Chimpanzees, Gorillas, Orangutans.</p>



<h5 class="wp-block-heading">South Dakota</h5>



<p class="wp-block-paragraph">Raccoon dogs and free-roaming wildlife animals.</p>



<h5 class="wp-block-heading">Tennessee</h5>



<p class="wp-block-paragraph">Black bears, White-tailed deer, Wild turkeys, Big cats, and hybrids.</p>



<h5 class="wp-block-heading">Texas</h5>



<p class="wp-block-paragraph">Wolves, Bats, Diamondback terrapins, Indigenous birds, Endangered species as well as<br>Invasive species fish and shellfish.</p>



<h5 class="wp-block-heading">Utah</h5>



<p class="wp-block-paragraph">Tigers, Lions, Cougars, Jaguars, Leopards, Cheetahs, Ocelots, Lynx, Servals, Bison, Bighorn sheep, Elks, Mule deer, Moose, Pronghorn antelopes, Rocky mountain goats, Albert&#8217;s squirrels, Prairie dogs; Merriam kangaroo and Deser rats, Ringtails; Cottontail and snowshoe rabbits, Weasels, Skunks, Martens, Minks, Black-footed ferrets, Banded Gila monsters, Desert iguanas, Glen Canyon and Western chuckwallas,  Mojave Desert sidewinders;  Mojave rattle, Desert glossy snakes, Sonoran lyre, Speckled rattle, Utah milk, and Utah mountain kingsnakes; Desert tortoises; Coyotes; Wolves; Dingos; Foxes; Jackals; African wild dogs; Bears; Bats; River otters<br>Badgers; Primates; Venomous fish; Piranhas.</p>



<h5 class="wp-block-heading">Vermont</h5>



<p class="wp-block-paragraph">Feral swine, Wild boars, Wild and Ferals hogs, Wild and  Old world swine, Feral pigs, Razorbacks<br>Eurasian wild and Russian wild boar.</p>



<h5 class="wp-block-heading">Virginia</h5>



<p class="wp-block-paragraph">Virginia doesn&#8217;t explicitly list exotic pets that are illegal to own.</p>



<h5 class="wp-block-heading">Washington</h5>



<p class="wp-block-paragraph">Dangerous wild animals: Lions, Tigers, Captive-bred cougars, Bobcats, Jaguars, Cheetahs, Leopards, Snow leopards, Clouded leopard, Wolves, Bears, Hyenas, Rhinoceros, Non-human primates, Elephants, Elks, Atractaspidae, Dispholidus, Cobras, Mambas, Kraits; Coral, Australian tiger, and Sea snakes; Water and<br>Crocodile monitors; Rattlesnakes; Cottonmouths; Bushmasters; Puff adders; Gaboon vipers; Crocodiles; Alligators; Caimans; Gavials. Invasive species: Mute swans<br>Mongooses, Wild boars, Javelinas, Chamois, Wild goats, Wild sheep, Wildebeests, Reindeer, Fallow deer. Disease-carrying species: Bats, Skunks, Foxes, Raccoons, and Coyotes.</p>



<h5 class="wp-block-heading">West Virginia</h5>



<p class="wp-block-paragraph">Dangerous animals: Hyenas, Gray wolves, Lions, Tigers, Jaguars, Leopards, Cheetahs, hybrids of big cats (including  Lynxes and Cougars), Bears (except black bears), Elephants, Rhinoceros, Hippopotamus, Cape buffalo, African wild dogs, Komodo dragons,  Raccoon, Fox skunk, Non-human primates (except Lemurs;  Uakaris; Tamarins;  Sakis;  Muriquis;  Night,  Titi,  Spider, Common wooly, Howler and Goeldi&#8217;s monkeys).<br></p>



<h5 class="wp-block-heading">Wisconsin</h5>



<p class="wp-block-paragraph">Cougars; Bears; Wild and Mute swans; Wolves and hybrids; Non-native wild ducks, geese, and swans; Wild or native amphibians and reptiles.</p>



<h5 class="wp-block-heading">Wyoming</h5>



<p class="wp-block-paragraph">Wolves and wolf hybrids, Big or trophy game, Black and Grizzly bear, Mountain lions, Gray wolves.</p>



<p class="wp-block-paragraph"></p>
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		<title>The Naughtiest and Best-Behaved Dog Breeds, According to Instagram</title>
		<link>https://vividmaps.com/best-behaved-dog-breeds/</link>
					<comments>https://vividmaps.com/best-behaved-dog-breeds/#comments</comments>
		
		<dc:creator><![CDATA[Alex]]></dc:creator>
		<pubDate>Sat, 23 Oct 2021 18:13:19 +0000</pubDate>
				<category><![CDATA[Animals]]></category>
		<category><![CDATA[World]]></category>
		<category><![CDATA[dogs]]></category>
		<category><![CDATA[Instagram]]></category>
		<guid isPermaLink="false">https://vividmaps.com/?p=28444</guid>

					<description><![CDATA[<p>The best-behaved dog breed on Instagram is the Korean Jindo Dog, with 75.86 percent positive behavior tags. Instagram's naughtiest dog breed is the Japanese Spitz, with 86.67 percent of Spitz behavior posts describing bad behavior.</p>
<p>The post <a href="https://vividmaps.com/best-behaved-dog-breeds/">The Naughtiest and Best-Behaved Dog Breeds, According to Instagram</a> appeared first on <a href="https://vividmaps.com">Vivid Maps</a>.</p>
]]></description>
										<content:encoded><![CDATA[
<p class="wp-block-paragraph">You might believe there are just two kinds of dogs on Instagram: good girls and good boys. But dig a little deeper, and there are more exciting trends to chew on.</p>



<p class="wp-block-paragraph">Each dog has an individual character. But some breeds share distinctive traits.</p>



<p class="wp-block-paragraph">Science has revealed how DNA may form around 15 percent of a dog breed&#8217;s character: the Labrador is most expected to get worried when you cease working from home; the Border Collie and the poodle are among the diverse breeds assort as &#8220;eager learners.&#8221;</p>



<p class="wp-block-paragraph">But how about naughtiness? <a href="https://protectmypaws.com/the-naughtiest-and-best-behaved-dog-breeds-according-to-instagram/" target="_blank" rel="noreferrer noopener">Protect My Paws</a> questioned if any of these breeds of good boys are – you know – better than the others.</p>







<p class="wp-block-paragraph">The team at Protect My Paws took a comprehensive list of dog breeds from <a href="https://dogtime.com/dog-breeds/profiles" target="_blank" rel="noreferrer noopener">Dog Time</a> and analyzed posts featuring each dog breed along with good or bad dog Instagram hashtags (#gooddog, #cleverdog, #cleverpuppy, #baddog, #naughtypuppy, #cheekydog, #muddydog).</p>



<p class="wp-block-paragraph">Then they made a comprehensive list of dog breeds and analyzed Instagram posts featuring a dog breed and any of those hashtags. (87,886 posts in total.) The team then calculated the proportion of good to bad hashtags for each breed to identify the top naughty and well-behaved breeds. 43,367 geotagged posts were analyzed to create the maps. Here&#8217;s a preview of the top 10 in each category:</p>



<figure class="wp-block-image size-large"><a href="https://vividmaps.com/wp-content/uploads/2021/10/Best-Behaved-Dog-Breeds-389x1024.jpg"><img loading="lazy" decoding="async" width="389" height="1024" src="https://vividmaps.com/wp-content/uploads/2021/10/Best-Behaved-Dog-Breeds-389x1024.jpg" alt="The naughtiest and best-behaved dog breeds" class="wp-image-28446" srcset="https://vividmaps.com/wp-content/uploads/2021/10/Best-Behaved-Dog-Breeds-389x1024.jpg 389w, https://vividmaps.com/wp-content/uploads/2021/10/Best-Behaved-Dog-Breeds-114x300.jpg 114w, https://vividmaps.com/wp-content/uploads/2021/10/Best-Behaved-Dog-Breeds-768x2022.jpg 768w, https://vividmaps.com/wp-content/uploads/2021/10/Best-Behaved-Dog-Breeds-583x1536.jpg 583w, https://vividmaps.com/wp-content/uploads/2021/10/Best-Behaved-Dog-Breeds-778x2048.jpg 778w, https://vividmaps.com/wp-content/uploads/2021/10/Best-Behaved-Dog-Breeds-scaled.jpg 972w" sizes="auto, (max-width: 389px) 100vw, 389px" /></a></figure>




<table id="tablepress-138" class="tablepress tablepress-id-138">
<thead>
<tr class="row-1">
	<th class="column-1">Breed name</th><th class="column-2">% of posts with naughty hashtags</th><th class="column-3">% of posts with well-behaved hashtags</th>
</tr>
</thead>
<tbody class="row-striping row-hover">
<tr class="row-2">
	<td class="column-1">Japanese Spitz</td><td class="column-2">0.86666666666667</td><td class="column-3">0.13333333333333</td>
</tr>
<tr class="row-3">
	<td class="column-1">Shichon</td><td class="column-2">0.78378378378378</td><td class="column-3">0.21621621621622</td>
</tr>
<tr class="row-4">
	<td class="column-1">Mudi</td><td class="column-2">0.77272727272727</td><td class="column-3">0.22727272727273</td>
</tr>
<tr class="row-5">
	<td class="column-1">Cockapoo</td><td class="column-2">0.76545842217484</td><td class="column-3">0.23454157782516</td>
</tr>
<tr class="row-6">
	<td class="column-1">Wirehaired Vizsla</td><td class="column-2">0.76190476190476</td><td class="column-3">0.23809523809524</td>
</tr>
<tr class="row-7">
	<td class="column-1">Chug</td><td class="column-2">0.76</td><td class="column-3">0.24</td>
</tr>
<tr class="row-8">
	<td class="column-1">Poochon</td><td class="column-2">0.75806451612903</td><td class="column-3">0.24193548387097</td>
</tr>
<tr class="row-9">
	<td class="column-1">Welsh Terrier</td><td class="column-2">0.74285714285714</td><td class="column-3">0.25714285714286</td>
</tr>
<tr class="row-10">
	<td class="column-1">Keeshond</td><td class="column-2">0.73076923076923</td><td class="column-3">0.26923076923077</td>
</tr>
<tr class="row-11">
	<td class="column-1">English Springer Spaniel</td><td class="column-2">0.72832369942197</td><td class="column-3">0.27167630057803</td>
</tr>
<tr class="row-12">
	<td class="column-1">Cavapoo</td><td class="column-2">0.72773536895674</td><td class="column-3">0.27226463104326</td>
</tr>
<tr class="row-13">
	<td class="column-1">Goldador</td><td class="column-2">0.72727272727273</td><td class="column-3">0.27272727272727</td>
</tr>
<tr class="row-14">
	<td class="column-1">Cocker Spaniel</td><td class="column-2">0.72718894009217</td><td class="column-3">0.27281105990783</td>
</tr>
<tr class="row-15">
	<td class="column-1">Dogue de Bordeaux</td><td class="column-2">0.72340425531915</td><td class="column-3">0.27659574468085</td>
</tr>
<tr class="row-16">
	<td class="column-1">Borador</td><td class="column-2">0.72222222222222</td><td class="column-3">0.27777777777778</td>
</tr>
<tr class="row-17">
	<td class="column-1">Jack-A-Poo</td><td class="column-2">0.71794871794872</td><td class="column-3">0.28205128205128</td>
</tr>
<tr class="row-18">
	<td class="column-1">Lhasa Apso</td><td class="column-2">0.71014492753623</td><td class="column-3">0.28985507246377</td>
</tr>
<tr class="row-19">
	<td class="column-1">Springador</td><td class="column-2">0.70731707317073</td><td class="column-3">0.29268292682927</td>
</tr>
<tr class="row-20">
	<td class="column-1">Dachshund</td><td class="column-2">0.68372703412073</td><td class="column-3">0.31627296587927</td>
</tr>
<tr class="row-21">
	<td class="column-1">French Bulldog</td><td class="column-2">0.6806411837238</td><td class="column-3">0.3193588162762</td>
</tr>
<tr class="row-22">
	<td class="column-1">Leonberger</td><td class="column-2">0.67647058823529</td><td class="column-3">0.32352941176471</td>
</tr>
<tr class="row-23">
	<td class="column-1">Border Terrier</td><td class="column-2">0.6687898089172</td><td class="column-3">0.3312101910828</td>
</tr>
<tr class="row-24">
	<td class="column-1">Samoyed</td><td class="column-2">0.66812227074236</td><td class="column-3">0.33187772925764</td>
</tr>
<tr class="row-25">
	<td class="column-1">Shih-Poo</td><td class="column-2">0.66666666666667</td><td class="column-3">0.33333333333333</td>
</tr>
<tr class="row-26">
	<td class="column-1">Maltese Shih Tzu</td><td class="column-2">0.66666666666667</td><td class="column-3">0.33333333333333</td>
</tr>
<tr class="row-27">
	<td class="column-1">Cairn Terrier</td><td class="column-2">0.65957446808511</td><td class="column-3">0.34042553191489</td>
</tr>
<tr class="row-28">
	<td class="column-1">Whippet</td><td class="column-2">0.65909090909091</td><td class="column-3">0.34090909090909</td>
</tr>
<tr class="row-29">
	<td class="column-1">English Setter</td><td class="column-2">0.65853658536585</td><td class="column-3">0.34146341463415</td>
</tr>
<tr class="row-30">
	<td class="column-1">Bearded Collie</td><td class="column-2">0.6551724137931</td><td class="column-3">0.3448275862069</td>
</tr>
<tr class="row-31">
	<td class="column-1">Chorkie</td><td class="column-2">0.6551724137931</td><td class="column-3">0.3448275862069</td>
</tr>
<tr class="row-32">
	<td class="column-1">Bulldog</td><td class="column-2">0.64795918367347</td><td class="column-3">0.35204081632653</td>
</tr>
<tr class="row-33">
	<td class="column-1">Olde English Bulldogge</td><td class="column-2">0.64761904761905</td><td class="column-3">0.35238095238095</td>
</tr>
<tr class="row-34">
	<td class="column-1">English Cocker Spaniel</td><td class="column-2">0.64705882352941</td><td class="column-3">0.35294117647059</td>
</tr>
<tr class="row-35">
	<td class="column-1">Brussels Griffon</td><td class="column-2">0.64444444444444</td><td class="column-3">0.35555555555556</td>
</tr>
<tr class="row-36">
	<td class="column-1">Cavachon</td><td class="column-2">0.64</td><td class="column-3">0.36</td>
</tr>
<tr class="row-37">
	<td class="column-1">Coton de Tulear</td><td class="column-2">0.63829787234043</td><td class="column-3">0.36170212765957</td>
</tr>
<tr class="row-38">
	<td class="column-1">Pug</td><td class="column-2">0.63251670378619</td><td class="column-3">0.36748329621381</td>
</tr>
<tr class="row-39">
	<td class="column-1">Pomchi</td><td class="column-2">0.63157894736842</td><td class="column-3">0.36842105263158</td>
</tr>
<tr class="row-40">
	<td class="column-1">Bichon Frise</td><td class="column-2">0.62837837837838</td><td class="column-3">0.37162162162162</td>
</tr>
<tr class="row-41">
	<td class="column-1">Miniature Bull Terrier</td><td class="column-2">0.625</td><td class="column-3">0.375</td>
</tr>
<tr class="row-42">
	<td class="column-1">Flat-Coated Retriever</td><td class="column-2">0.62222222222222</td><td class="column-3">0.37777777777778</td>
</tr>
<tr class="row-43">
	<td class="column-1">Dalmatian</td><td class="column-2">0.6219512195122</td><td class="column-3">0.3780487804878</td>
</tr>
<tr class="row-44">
	<td class="column-1">Pomsky</td><td class="column-2">0.61666666666667</td><td class="column-3">0.38333333333333</td>
</tr>
<tr class="row-45">
	<td class="column-1">Sheepadoodle</td><td class="column-2">0.61538461538462</td><td class="column-3">0.38461538461538</td>
</tr>
<tr class="row-46">
	<td class="column-1">Patterdale Terrier</td><td class="column-2">0.61538461538462</td><td class="column-3">0.38461538461538</td>
</tr>
<tr class="row-47">
	<td class="column-1">Saluki</td><td class="column-2">0.61538461538462</td><td class="column-3">0.38461538461538</td>
</tr>
<tr class="row-48">
	<td class="column-1">Great Pyrenees</td><td class="column-2">0.61458333333333</td><td class="column-3">0.38541666666667</td>
</tr>
<tr class="row-49">
	<td class="column-1">Italian Greyhound</td><td class="column-2">0.609375</td><td class="column-3">0.390625</td>
</tr>
<tr class="row-50">
	<td class="column-1">Eurasier</td><td class="column-2">0.60869565217391</td><td class="column-3">0.39130434782609</td>
</tr>
<tr class="row-51">
	<td class="column-1">Lakeland Terrier</td><td class="column-2">0.60606060606061</td><td class="column-3">0.39393939393939</td>
</tr>
<tr class="row-52">
	<td class="column-1">Golden Retriever</td><td class="column-2">0.60564853556485</td><td class="column-3">0.39435146443515</td>
</tr>
<tr class="row-53">
	<td class="column-1">Greyhound</td><td class="column-2">0.60493827160494</td><td class="column-3">0.39506172839506</td>
</tr>
<tr class="row-54">
	<td class="column-1">Tibetan Terrier</td><td class="column-2">0.6031746031746</td><td class="column-3">0.3968253968254</td>
</tr>
<tr class="row-55">
	<td class="column-1">Beagle</td><td class="column-2">0.60109289617486</td><td class="column-3">0.39890710382514</td>
</tr>
<tr class="row-56">
	<td class="column-1">Spinone Italiano</td><td class="column-2">0.6</td><td class="column-3">0.4</td>
</tr>
<tr class="row-57">
	<td class="column-1">Labrador Retriever</td><td class="column-2">0.59763313609467</td><td class="column-3">0.40236686390533</td>
</tr>
<tr class="row-58">
	<td class="column-1">Old English Sheepdog</td><td class="column-2">0.59259259259259</td><td class="column-3">0.40740740740741</td>
</tr>
<tr class="row-59">
	<td class="column-1">Frenchton</td><td class="column-2">0.59259259259259</td><td class="column-3">0.40740740740741</td>
</tr>
<tr class="row-60">
	<td class="column-1">Saint Bernard</td><td class="column-2">0.59166666666667</td><td class="column-3">0.40833333333333</td>
</tr>
<tr class="row-61">
	<td class="column-1">Labradoodle</td><td class="column-2">0.59126984126984</td><td class="column-3">0.40873015873016</td>
</tr>
<tr class="row-62">
	<td class="column-1">Wire Fox Terrier</td><td class="column-2">0.58974358974359</td><td class="column-3">0.41025641025641</td>
</tr>
<tr class="row-63">
	<td class="column-1">Staffordshire Bull Terrier</td><td class="column-2">0.5884476534296</td><td class="column-3">0.4115523465704</td>
</tr>
<tr class="row-64">
	<td class="column-1">Siberian Husky</td><td class="column-2">0.58695652173913</td><td class="column-3">0.41304347826087</td>
</tr>
<tr class="row-65">
	<td class="column-1">American Bulldog</td><td class="column-2">0.58474576271186</td><td class="column-3">0.41525423728814</td>
</tr>
<tr class="row-66">
	<td class="column-1">Basset Hound</td><td class="column-2">0.58407079646018</td><td class="column-3">0.41592920353982</td>
</tr>
<tr class="row-67">
	<td class="column-1">Pembroke Welsh Corgi</td><td class="column-2">0.58227848101266</td><td class="column-3">0.41772151898734</td>
</tr>
<tr class="row-68">
	<td class="column-1">Irish Setter</td><td class="column-2">0.58139534883721</td><td class="column-3">0.41860465116279</td>
</tr>
<tr class="row-69">
	<td class="column-1">Parson Russell Terrier</td><td class="column-2">0.58139534883721</td><td class="column-3">0.41860465116279</td>
</tr>
<tr class="row-70">
	<td class="column-1">Vizsla</td><td class="column-2">0.58035714285714</td><td class="column-3">0.41964285714286</td>
</tr>
<tr class="row-71">
	<td class="column-1">Miniature Schnauzer</td><td class="column-2">0.57983193277311</td><td class="column-3">0.42016806722689</td>
</tr>
<tr class="row-72">
	<td class="column-1">Boston Terrier</td><td class="column-2">0.57872340425532</td><td class="column-3">0.42127659574468</td>
</tr>
<tr class="row-73">
	<td class="column-1">Shih Tzu</td><td class="column-2">0.57692307692308</td><td class="column-3">0.42307692307692</td>
</tr>
<tr class="row-74">
	<td class="column-1">Jack Chi</td><td class="column-2">0.57575757575758</td><td class="column-3">0.42424242424242</td>
</tr>
<tr class="row-75">
	<td class="column-1">Alaskan Malamute</td><td class="column-2">0.57352941176471</td><td class="column-3">0.42647058823529</td>
</tr>
<tr class="row-76">
	<td class="column-1">Pomeranian (dog)</td><td class="column-2">0.5727923627685</td><td class="column-3">0.4272076372315</td>
</tr>
<tr class="row-77">
	<td class="column-1">Bedlington Terrier</td><td class="column-2">0.57142857142857</td><td class="column-3">0.42857142857143</td>
</tr>
<tr class="row-78">
	<td class="column-1">Bernedoodle</td><td class="column-2">0.57142857142857</td><td class="column-3">0.42857142857143</td>
</tr>
<tr class="row-79">
	<td class="column-1">German Wirehaired Pointer</td><td class="column-2">0.57142857142857</td><td class="column-3">0.42857142857143</td>
</tr>
<tr class="row-80">
	<td class="column-1">Goldendoodle</td><td class="column-2">0.57119476268412</td><td class="column-3">0.42880523731588</td>
</tr>
<tr class="row-81">
	<td class="column-1">Poodle</td><td class="column-2">0.57085828343313</td><td class="column-3">0.42914171656687</td>
</tr>
<tr class="row-82">
	<td class="column-1">Chow Chow</td><td class="column-2">0.56862745098039</td><td class="column-3">0.43137254901961</td>
</tr>
<tr class="row-83">
	<td class="column-1">Cavalier King Charles Spaniel</td><td class="column-2">0.56132075471698</td><td class="column-3">0.43867924528302</td>
</tr>
<tr class="row-84">
	<td class="column-1">Irish Terrier</td><td class="column-2">0.56</td><td class="column-3">0.44</td>
</tr>
<tr class="row-85">
	<td class="column-1">Pekingese</td><td class="column-2">0.55769230769231</td><td class="column-3">0.44230769230769</td>
</tr>
<tr class="row-86">
	<td class="column-1">Weimaraner</td><td class="column-2">0.55670103092784</td><td class="column-3">0.44329896907216</td>
</tr>
<tr class="row-87">
	<td class="column-1">Aussiedoodle</td><td class="column-2">0.55555555555556</td><td class="column-3">0.44444444444444</td>
</tr>
<tr class="row-88">
	<td class="column-1">West Highland White Terrier</td><td class="column-2">0.55555555555556</td><td class="column-3">0.44444444444444</td>
</tr>
<tr class="row-89">
	<td class="column-1">Puggle</td><td class="column-2">0.55555555555556</td><td class="column-3">0.44444444444444</td>
</tr>
<tr class="row-90">
	<td class="column-1">Jack Russell Terrier</td><td class="column-2">0.55357142857143</td><td class="column-3">0.44642857142857</td>
</tr>
<tr class="row-91">
	<td class="column-1">Bullmastiff</td><td class="column-2">0.55172413793103</td><td class="column-3">0.44827586206897</td>
</tr>
<tr class="row-92">
	<td class="column-1">Newfoundland</td><td class="column-2">0.54794520547945</td><td class="column-3">0.45205479452055</td>
</tr>
<tr class="row-93">
	<td class="column-1">White Shepherd</td><td class="column-2">0.54716981132075</td><td class="column-3">0.45283018867925</td>
</tr>
<tr class="row-94">
	<td class="column-1">Australian Kelpie</td><td class="column-2">0.54411764705882</td><td class="column-3">0.45588235294118</td>
</tr>
<tr class="row-95">
	<td class="column-1">Maltipoo</td><td class="column-2">0.54193548387097</td><td class="column-3">0.45806451612903</td>
</tr>
<tr class="row-96">
	<td class="column-1">Maltese (dog)</td><td class="column-2">0.54022988505747</td><td class="column-3">0.45977011494253</td>
</tr>
<tr class="row-97">
	<td class="column-1">Nova Scotia Duck Tolling Retriever</td><td class="column-2">0.53846153846154</td><td class="column-3">0.46153846153846</td>
</tr>
<tr class="row-98">
	<td class="column-1">Airedale Terrier</td><td class="column-2">0.53846153846154</td><td class="column-3">0.46153846153846</td>
</tr>
<tr class="row-99">
	<td class="column-1">Bull Terrier</td><td class="column-2">0.53048780487805</td><td class="column-3">0.46951219512195</td>
</tr>
<tr class="row-100">
	<td class="column-1">Yorkshire Terrier</td><td class="column-2">0.53012048192771</td><td class="column-3">0.46987951807229</td>
</tr>
<tr class="row-101">
	<td class="column-1">Boxer (dog)</td><td class="column-2">0.5280612244898</td><td class="column-3">0.4719387755102</td>
</tr>
<tr class="row-102">
	<td class="column-1">Shetland Sheepdog</td><td class="column-2">0.52577319587629</td><td class="column-3">0.47422680412371</td>
</tr>
<tr class="row-103">
	<td class="column-1">Bloodhound</td><td class="column-2">0.52173913043478</td><td class="column-3">0.47826086956522</td>
</tr>
<tr class="row-104">
	<td class="column-1">Pointer (dog)</td><td class="column-2">0.52083333333333</td><td class="column-3">0.47916666666667</td>
</tr>
<tr class="row-105">
	<td class="column-1">Fox Terrier</td><td class="column-2">0.52083333333333</td><td class="column-3">0.47916666666667</td>
</tr>
<tr class="row-106">
	<td class="column-1">Bordoodle</td><td class="column-2">0.52</td><td class="column-3">0.48</td>
</tr>
<tr class="row-107">
	<td class="column-1">Shepsky</td><td class="column-2">0.51948051948052</td><td class="column-3">0.48051948051948</td>
</tr>
<tr class="row-108">
	<td class="column-1">Dingo</td><td class="column-2">0.51724137931034</td><td class="column-3">0.48275862068966</td>
</tr>
<tr class="row-109">
	<td class="column-1">Chinese Crested</td><td class="column-2">0.51428571428571</td><td class="column-3">0.48571428571429</td>
</tr>
<tr class="row-110">
	<td class="column-1">German Shorthaired Pointer</td><td class="column-2">0.51401869158878</td><td class="column-3">0.48598130841122</td>
</tr>
<tr class="row-111">
	<td class="column-1">Chinese Shar-Pei</td><td class="column-2">0.51086956521739</td><td class="column-3">0.48913043478261</td>
</tr>
<tr class="row-112">
	<td class="column-1">Border Collie</td><td class="column-2">0.50789692435578</td><td class="column-3">0.49210307564422</td>
</tr>
<tr class="row-113">
	<td class="column-1">American Bully</td><td class="column-2">0.50769230769231</td><td class="column-3">0.49230769230769</td>
</tr>
<tr class="row-114">
	<td class="column-1">Shorkie</td><td class="column-2">0.5</td><td class="column-3">0.5</td>
</tr>
<tr class="row-115">
	<td class="column-1">Australian Shepherd</td><td class="column-2">0.49720670391061</td><td class="column-3">0.50279329608939</td>
</tr>
<tr class="row-116">
	<td class="column-1">Collie</td><td class="column-2">0.4957264957265</td><td class="column-3">0.5042735042735</td>
</tr>
<tr class="row-117">
	<td class="column-1">Shiba Inu</td><td class="column-2">0.48945147679325</td><td class="column-3">0.51054852320675</td>
</tr>
<tr class="row-118">
	<td class="column-1">Chihuahua</td><td class="column-2">0.48840803709428</td><td class="column-3">0.51159196290572</td>
</tr>
<tr class="row-119">
	<td class="column-1">Catahoula Leopard Dog</td><td class="column-2">0.48648648648649</td><td class="column-3">0.51351351351351</td>
</tr>
<tr class="row-120">
	<td class="column-1">Rottweiler</td><td class="column-2">0.48286604361371</td><td class="column-3">0.51713395638629</td>
</tr>
<tr class="row-121">
	<td class="column-1">Schnoodle</td><td class="column-2">0.47727272727273</td><td class="column-3">0.52272727272727</td>
</tr>
<tr class="row-122">
	<td class="column-1">Mastiff</td><td class="column-2">0.47577092511013</td><td class="column-3">0.52422907488987</td>
</tr>
<tr class="row-123">
	<td class="column-1">Great Dane</td><td class="column-2">0.47290640394089</td><td class="column-3">0.52709359605911</td>
</tr>
<tr class="row-124">
	<td class="column-1">German Spitz</td><td class="column-2">0.46875</td><td class="column-3">0.53125</td>
</tr>
<tr class="row-125">
	<td class="column-1">Lagotto Romagnolo</td><td class="column-2">0.46153846153846</td><td class="column-3">0.53846153846154</td>
</tr>
<tr class="row-126">
	<td class="column-1">Morkie</td><td class="column-2">0.45454545454545</td><td class="column-3">0.54545454545455</td>
</tr>
<tr class="row-127">
	<td class="column-1">Finnish Lapphund</td><td class="column-2">0.45454545454545</td><td class="column-3">0.54545454545455</td>
</tr>
<tr class="row-128">
	<td class="column-1">Brittany dog</td><td class="column-2">0.45205479452055</td><td class="column-3">0.54794520547945</td>
</tr>
<tr class="row-129">
	<td class="column-1">English Shepherd</td><td class="column-2">0.45</td><td class="column-3">0.55</td>
</tr>
<tr class="row-130">
	<td class="column-1">Bernese Mountain Dog</td><td class="column-2">0.44936708860759</td><td class="column-3">0.55063291139241</td>
</tr>
<tr class="row-131">
	<td class="column-1">Boerboel</td><td class="column-2">0.44827586206897</td><td class="column-3">0.55172413793103</td>
</tr>
<tr class="row-132">
	<td class="column-1">Papillon (dog)</td><td class="column-2">0.44067796610169</td><td class="column-3">0.55932203389831</td>
</tr>
<tr class="row-133">
	<td class="column-1">Havanese dog</td><td class="column-2">0.43939393939394</td><td class="column-3">0.56060606060606</td>
</tr>
<tr class="row-134">
	<td class="column-1">Akita</td><td class="column-2">0.4390243902439</td><td class="column-3">0.5609756097561</td>
</tr>
<tr class="row-135">
	<td class="column-1">German Shepherd</td><td class="column-2">0.43900343642612</td><td class="column-3">0.56099656357388</td>
</tr>
<tr class="row-136">
	<td class="column-1">White Swiss Shepherd Dog</td><td class="column-2">0.43859649122807</td><td class="column-3">0.56140350877193</td>
</tr>
<tr class="row-137">
	<td class="column-1">Dogo Argentino</td><td class="column-2">0.4375</td><td class="column-3">0.5625</td>
</tr>
<tr class="row-138">
	<td class="column-1">American Staffordshire Terrier</td><td class="column-2">0.43617021276596</td><td class="column-3">0.56382978723404</td>
</tr>
<tr class="row-139">
	<td class="column-1">Irish Wolfhound</td><td class="column-2">0.43478260869565</td><td class="column-3">0.56521739130435</td>
</tr>
<tr class="row-140">
	<td class="column-1">Bolognese</td><td class="column-2">0.42857142857143</td><td class="column-3">0.57142857142857</td>
</tr>
<tr class="row-141">
	<td class="column-1">Giant Schnauzer</td><td class="column-2">0.42857142857143</td><td class="column-3">0.57142857142857</td>
</tr>
<tr class="row-142">
	<td class="column-1">Mucuchies</td><td class="column-2">0.42424242424242</td><td class="column-3">0.57575757575758</td>
</tr>
<tr class="row-143">
	<td class="column-1">Australian Cattle Dog</td><td class="column-2">0.42361111111111</td><td class="column-3">0.57638888888889</td>
</tr>
<tr class="row-144">
	<td class="column-1">Chiweenie</td><td class="column-2">0.4047619047619</td><td class="column-3">0.5952380952381</td>
</tr>
<tr class="row-145">
	<td class="column-1">Dobermann</td><td class="column-2">0.40074906367041</td><td class="column-3">0.59925093632959</td>
</tr>
<tr class="row-146">
	<td class="column-1">Huntaway</td><td class="column-2">0.4</td><td class="column-3">0.6</td>
</tr>
<tr class="row-147">
	<td class="column-1">Scottish Terrier</td><td class="column-2">0.39285714285714</td><td class="column-3">0.60714285714286</td>
</tr>
<tr class="row-148">
	<td class="column-1">Cane Corso</td><td class="column-2">0.38842975206612</td><td class="column-3">0.61157024793388</td>
</tr>
<tr class="row-149">
	<td class="column-1">Rough Collie</td><td class="column-2">0.37735849056604</td><td class="column-3">0.62264150943396</td>
</tr>
<tr class="row-150">
	<td class="column-1">Basenji</td><td class="column-2">0.36111111111111</td><td class="column-3">0.63888888888889</td>
</tr>
<tr class="row-151">
	<td class="column-1">American Pit Bull Terrier</td><td class="column-2">0.36</td><td class="column-3">0.64</td>
</tr>
<tr class="row-152">
	<td class="column-1">Dutch Shepherd</td><td class="column-2">0.34090909090909</td><td class="column-3">0.65909090909091</td>
</tr>
<tr class="row-153">
	<td class="column-1">Miniature Pinscher</td><td class="column-2">0.33333333333333</td><td class="column-3">0.66666666666667</td>
</tr>
<tr class="row-154">
	<td class="column-1">Belgian Malinois</td><td class="column-2">0.32098765432099</td><td class="column-3">0.67901234567901</td>
</tr>
<tr class="row-155">
	<td class="column-1">Rat Terrier</td><td class="column-2">0.31818181818182</td><td class="column-3">0.68181818181818</td>
</tr>
<tr class="row-156">
	<td class="column-1">Anatolian Shepherd Dog</td><td class="column-2">0.31034482758621</td><td class="column-3">0.68965517241379</td>
</tr>
<tr class="row-157">
	<td class="column-1">Black Mouth Cur</td><td class="column-2">0.29166666666667</td><td class="column-3">0.70833333333333</td>
</tr>
<tr class="row-158">
	<td class="column-1">Portuguese Water Dog</td><td class="column-2">0.29166666666667</td><td class="column-3">0.70833333333333</td>
</tr>
<tr class="row-159">
	<td class="column-1">Rhodesian Ridgeback</td><td class="column-2">0.28947368421053</td><td class="column-3">0.71052631578947</td>
</tr>
<tr class="row-160">
	<td class="column-1">Perro de Presa Canario</td><td class="column-2">0.27272727272727</td><td class="column-3">0.72727272727273</td>
</tr>
<tr class="row-161">
	<td class="column-1">Korean Jindo Dog</td><td class="column-2">0.24137931034483</td><td class="column-3">0.75862068965517</td>
</tr>
</tbody>
</table>




<p class="wp-block-paragraph">They also took the even number of posts with locations (17,150 for both good and bad hashtags) and scored the cities, US states, and countries with the proportion of good/bad hashtags. The cities and countries with less than 10 unique users who posted were dropped.</p>



<h5 class="wp-block-heading">World map of countries with the naughtiest dogs</h5>



<p class="wp-block-paragraph">According to Pet Secure, South Africa places tenth in the list of top 20 dog populations globally. Despite strict lead laws and pet-parent responsibilities, of all the country&#8217;s pooch-related posts, 87.85 percent of them featured a naughty puppy or cheeky dog.</p>



<figure class="wp-block-image size-large"><a href="https://vividmaps.com/wp-content/uploads/2021/10/Naughtiest-and-Best-Behaved-Dog-Breeds-World-Map-1024x842.jpg"><img loading="lazy" decoding="async" width="1024" height="842" src="https://vividmaps.com/wp-content/uploads/2021/10/Naughtiest-and-Best-Behaved-Dog-Breeds-World-Map-1024x842.jpg" alt="Countries with the naughtiest dogs mapped" class="wp-image-28447" srcset="https://vividmaps.com/wp-content/uploads/2021/10/Naughtiest-and-Best-Behaved-Dog-Breeds-World-Map-1024x842.jpg 1024w, https://vividmaps.com/wp-content/uploads/2021/10/Naughtiest-and-Best-Behaved-Dog-Breeds-World-Map-300x247.jpg 300w, https://vividmaps.com/wp-content/uploads/2021/10/Naughtiest-and-Best-Behaved-Dog-Breeds-World-Map-768x632.jpg 768w, https://vividmaps.com/wp-content/uploads/2021/10/Naughtiest-and-Best-Behaved-Dog-Breeds-World-Map-1536x1263.jpg 1536w, https://vividmaps.com/wp-content/uploads/2021/10/Naughtiest-and-Best-Behaved-Dog-Breeds-World-Map.jpg 1600w" sizes="auto, (max-width: 1024px) 100vw, 1024px" /></a></figure>



<h6 class="wp-block-heading"> Countries by percentage of posts with bad and good dog Instagram hashtags</h6>




<table id="tablepress-139" class="tablepress tablepress-id-139">
<thead>
<tr class="row-1">
	<th class="column-1">Country</th><th class="column-2">Outcome</th><th class="column-3">% of posts with naughty hashtags</th><th class="column-4">% of posts with well-behaved hashtags</th>
</tr>
</thead>
<tbody class="row-striping row-hover">
<tr class="row-2">
	<td class="column-1">South Africa</td><td class="column-2">Naughty</td><td class="column-3">0.87847222222222</td><td class="column-4">0.12152777777778</td>
</tr>
<tr class="row-3">
	<td class="column-1">Slovakia</td><td class="column-2">Naughty</td><td class="column-3">0.85416666666667</td><td class="column-4">0.14583333333333</td>
</tr>
<tr class="row-4">
	<td class="column-1">Singapore</td><td class="column-2">Naughty</td><td class="column-3">0.85106382978723</td><td class="column-4">0.14893617021277</td>
</tr>
<tr class="row-5">
	<td class="column-1">Australia</td><td class="column-2">Naughty</td><td class="column-3">0.80547380812242</td><td class="column-4">0.19452619187758</td>
</tr>
<tr class="row-6">
	<td class="column-1">United Kingdom</td><td class="column-2">Naughty</td><td class="column-3">0.80541219137955</td><td class="column-4">0.19458780862045</td>
</tr>
<tr class="row-7">
	<td class="column-1">Malaysia</td><td class="column-2">Naughty</td><td class="column-3">0.78125</td><td class="column-4">0.21875</td>
</tr>
<tr class="row-8">
	<td class="column-1">India</td><td class="column-2">Naughty</td><td class="column-3">0.73893805309735</td><td class="column-4">0.26106194690265</td>
</tr>
<tr class="row-9">
	<td class="column-1">Romania</td><td class="column-2">Naughty</td><td class="column-3">0.72727272727273</td><td class="column-4">0.27272727272727</td>
</tr>
<tr class="row-10">
	<td class="column-1">Israel</td><td class="column-2">Naughty</td><td class="column-3">0.71428571428571</td><td class="column-4">0.28571428571429</td>
</tr>
<tr class="row-11">
	<td class="column-1">United Arab Emirates</td><td class="column-2">Naughty</td><td class="column-3">0.62337662337662</td><td class="column-4">0.37662337662338</td>
</tr>
<tr class="row-12">
	<td class="column-1">Argentina</td><td class="column-2">Naughty</td><td class="column-3">0.62068965517241</td><td class="column-4">0.37931034482759</td>
</tr>
<tr class="row-13">
	<td class="column-1">Czechia</td><td class="column-2">Naughty</td><td class="column-3">0.58088235294118</td><td class="column-4">0.41911764705882</td>
</tr>
<tr class="row-14">
	<td class="column-1">Belgium</td><td class="column-2">Naughty</td><td class="column-3">0.57425742574257</td><td class="column-4">0.42574257425743</td>
</tr>
<tr class="row-15">
	<td class="column-1">Chile</td><td class="column-2">Naughty</td><td class="column-3">0.56521739130435</td><td class="column-4">0.43478260869565</td>
</tr>
<tr class="row-16">
	<td class="column-1">Netherlands</td><td class="column-2">Naughty</td><td class="column-3">0.52291105121294</td><td class="column-4">0.47708894878706</td>
</tr>
<tr class="row-17">
	<td class="column-1">Denmark</td><td class="column-2">Neutral</td><td class="column-3">0.5</td><td class="column-4">0.5</td>
</tr>
<tr class="row-18">
	<td class="column-1">Estonia</td><td class="column-2">Neutral</td><td class="column-3">0.5</td><td class="column-4">0.5</td>
</tr>
<tr class="row-19">
	<td class="column-1">Taiwan</td><td class="column-2">Well-behaved</td><td class="column-3">0.48387096774194</td><td class="column-4">0.51612903225806</td>
</tr>
<tr class="row-20">
	<td class="column-1">Ireland</td><td class="column-2">Well-behaved</td><td class="column-3">0.46859903381643</td><td class="column-4">0.53140096618357</td>
</tr>
<tr class="row-21">
	<td class="column-1">Austria</td><td class="column-2">Well-behaved</td><td class="column-3">0.46296296296296</td><td class="column-4">0.53703703703704</td>
</tr>
<tr class="row-22">
	<td class="column-1">Portugal</td><td class="column-2">Well-behaved</td><td class="column-3">0.42857142857143</td><td class="column-4">0.57142857142857</td>
</tr>
<tr class="row-23">
	<td class="column-1">Mexico</td><td class="column-2">Well-behaved</td><td class="column-3">0.42105263157895</td><td class="column-4">0.57894736842105</td>
</tr>
<tr class="row-24">
	<td class="column-1">Canada</td><td class="column-2">Well-behaved</td><td class="column-3">0.42022393282015</td><td class="column-4">0.57977606717985</td>
</tr>
<tr class="row-25">
	<td class="column-1">Italy</td><td class="column-2">Well-behaved</td><td class="column-3">0.41194968553459</td><td class="column-4">0.58805031446541</td>
</tr>
<tr class="row-26">
	<td class="column-1">Colombia</td><td class="column-2">Well-behaved</td><td class="column-3">0.40625</td><td class="column-4">0.59375</td>
</tr>
<tr class="row-27">
	<td class="column-1">Brazil</td><td class="column-2">Well-behaved</td><td class="column-3">0.39583333333333</td><td class="column-4">0.60416666666667</td>
</tr>
<tr class="row-28">
	<td class="column-1">Germany</td><td class="column-2">Well-behaved</td><td class="column-3">0.38251986379115</td><td class="column-4">0.61748013620885</td>
</tr>
<tr class="row-29">
	<td class="column-1">Thailand</td><td class="column-2">Well-behaved</td><td class="column-3">0.375</td><td class="column-4">0.625</td>
</tr>
<tr class="row-30">
	<td class="column-1">Sweden</td><td class="column-2">Well-behaved</td><td class="column-3">0.37209302325581</td><td class="column-4">0.62790697674419</td>
</tr>
<tr class="row-31">
	<td class="column-1">Indonesia</td><td class="column-2">Well-behaved</td><td class="column-3">0.35897435897436</td><td class="column-4">0.64102564102564</td>
</tr>
<tr class="row-32">
	<td class="column-1">New Zealand</td><td class="column-2">Well-behaved</td><td class="column-3">0.35602094240838</td><td class="column-4">0.64397905759162</td>
</tr>
<tr class="row-33">
	<td class="column-1">Hungary</td><td class="column-2">Well-behaved</td><td class="column-3">0.35051546391753</td><td class="column-4">0.64948453608247</td>
</tr>
<tr class="row-34">
	<td class="column-1">Philippines</td><td class="column-2">Well-behaved</td><td class="column-3">0.34920634920635</td><td class="column-4">0.65079365079365</td>
</tr>
<tr class="row-35">
	<td class="column-1">Spain</td><td class="column-2">Well-behaved</td><td class="column-3">0.33739837398374</td><td class="column-4">0.66260162601626</td>
</tr>
<tr class="row-36">
	<td class="column-1">Croatia</td><td class="column-2">Well-behaved</td><td class="column-3">0.33333333333333</td><td class="column-4">0.66666666666667</td>
</tr>
<tr class="row-37">
	<td class="column-1">United States</td><td class="column-2">Well-behaved</td><td class="column-3">0.3142607556235</td><td class="column-4">0.6857392443765</td>
</tr>
<tr class="row-38">
	<td class="column-1">Slovenia</td><td class="column-2">Well-behaved</td><td class="column-3">0.3125</td><td class="column-4">0.6875</td>
</tr>
<tr class="row-39">
	<td class="column-1">Norway</td><td class="column-2">Well-behaved</td><td class="column-3">0.30147058823529</td><td class="column-4">0.69852941176471</td>
</tr>
<tr class="row-40">
	<td class="column-1">Ecuador</td><td class="column-2">Well-behaved</td><td class="column-3">0.28571428571429</td><td class="column-4">0.71428571428571</td>
</tr>
<tr class="row-41">
	<td class="column-1">Serbia</td><td class="column-2">Well-behaved</td><td class="column-3">0.27777777777778</td><td class="column-4">0.72222222222222</td>
</tr>
<tr class="row-42">
	<td class="column-1">Bulgaria</td><td class="column-2">Well-behaved</td><td class="column-3">0.26666666666667</td><td class="column-4">0.73333333333333</td>
</tr>
<tr class="row-43">
	<td class="column-1">France</td><td class="column-2">Well-behaved</td><td class="column-3">0.26160337552743</td><td class="column-4">0.73839662447257</td>
</tr>
<tr class="row-44">
	<td class="column-1">Turkey</td><td class="column-2">Well-behaved</td><td class="column-3">0.23529411764706</td><td class="column-4">0.76470588235294</td>
</tr>
<tr class="row-45">
	<td class="column-1">South Korea</td><td class="column-2">Well-behaved</td><td class="column-3">0.22222222222222</td><td class="column-4">0.77777777777778</td>
</tr>
<tr class="row-46">
	<td class="column-1">Japan</td><td class="column-2">Well-behaved</td><td class="column-3">0.20338983050847</td><td class="column-4">0.79661016949153</td>
</tr>
<tr class="row-47">
	<td class="column-1">Finland</td><td class="column-2">Well-behaved</td><td class="column-3">0.18781725888325</td><td class="column-4">0.81218274111675</td>
</tr>
<tr class="row-48">
	<td class="column-1">Switzerland</td><td class="column-2">Well-behaved</td><td class="column-3">0.17045454545455</td><td class="column-4">0.82954545454545</td>
</tr>
<tr class="row-49">
	<td class="column-1">Poland</td><td class="column-2">Well-behaved</td><td class="column-3">0.16346153846154</td><td class="column-4">0.83653846153846</td>
</tr>
<tr class="row-50">
	<td class="column-1">Greece</td><td class="column-2">Well-behaved</td><td class="column-3">0.10869565217391</td><td class="column-4">0.89130434782609</td>
</tr>
<tr class="row-51">
	<td class="column-1">Belarus</td><td class="column-2">Well-behaved</td><td class="column-3">0.08695652173913</td><td class="column-4">0.91304347826087</td>
</tr>
<tr class="row-52">
	<td class="column-1">Russia</td><td class="column-2">Well-behaved</td><td class="column-3">0.059233449477352</td><td class="column-4">0.94076655052265</td>
</tr>
<tr class="row-53">
	<td class="column-1">Ukraine</td><td class="column-2">Well-behaved</td><td class="column-3">0.032786885245902</td><td class="column-4">0.9672131147541</td>
</tr>
</tbody>
</table>




<h6 class="wp-block-heading">Cities by percentage of posts with bad and good dog Instagram hashtags</h6>




<table id="tablepress-140" class="tablepress tablepress-id-140">
<thead>
<tr class="row-1">
	<th class="column-1">City</th><th class="column-2">Region</th><th class="column-3">Country</th><th class="column-4">Outcome</th><th class="column-5">% of posts with naughty hashtags</th><th class="column-6">% of posts with well-behaved hashtags</th>
</tr>
</thead>
<tbody class="row-striping row-hover">
<tr class="row-2">
	<td class="column-1">Moscow</td><td class="column-2">Moscow</td><td class="column-3">Russia</td><td class="column-4">Well-behaved</td><td class="column-5">0.015873015873016</td><td class="column-6">0.98412698412698</td>
</tr>
<tr class="row-3">
	<td class="column-1">Tokyo</td><td class="column-2">Tokyo</td><td class="column-3">Japan</td><td class="column-4">Well-behaved</td><td class="column-5">0.032258064516129</td><td class="column-6">0.96774193548387</td>
</tr>
<tr class="row-4">
	<td class="column-1">Saint Petersburg</td><td class="column-2">Saint Petersburg</td><td class="column-3">Russia</td><td class="column-4">Well-behaved</td><td class="column-5">0.039473684210526</td><td class="column-6">0.96052631578947</td>
</tr>
<tr class="row-5">
	<td class="column-1">Bend</td><td class="column-2">Oregon</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.04</td><td class="column-6">0.96</td>
</tr>
<tr class="row-6">
	<td class="column-1">Buffalo</td><td class="column-2">New York</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.063380281690141</td><td class="column-6">0.93661971830986</td>
</tr>
<tr class="row-7">
	<td class="column-1">Wrocław</td><td class="column-2">Lower Silesian Voivodeship</td><td class="column-3">Poland</td><td class="column-4">Well-behaved</td><td class="column-5">0.074074074074074</td><td class="column-6">0.92592592592593</td>
</tr>
<tr class="row-8">
	<td class="column-1">Washington</td><td class="column-2">District of Columbia</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.075782537067545</td><td class="column-6">0.92421746293245</td>
</tr>
<tr class="row-9">
	<td class="column-1">Baltimore</td><td class="column-2">Maryland</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.082706766917293</td><td class="column-6">0.91729323308271</td>
</tr>
<tr class="row-10">
	<td class="column-1">Arlington</td><td class="column-2">Virginia</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.088888888888889</td><td class="column-6">0.91111111111111</td>
</tr>
<tr class="row-11">
	<td class="column-1">Kyiv</td><td class="column-2">Kyiv City</td><td class="column-3">Ukraine</td><td class="column-4">Well-behaved</td><td class="column-5">0.090909090909091</td><td class="column-6">0.90909090909091</td>
</tr>
<tr class="row-12">
	<td class="column-1">Tucson</td><td class="column-2">Arizona</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.10810810810811</td><td class="column-6">0.89189189189189</td>
</tr>
<tr class="row-13">
	<td class="column-1">Paris</td><td class="column-2">Île-de-France</td><td class="column-3">France</td><td class="column-4">Well-behaved</td><td class="column-5">0.11320754716981</td><td class="column-6">0.88679245283019</td>
</tr>
<tr class="row-14">
	<td class="column-1">St. Petersburg</td><td class="column-2">Florida</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.11940298507463</td><td class="column-6">0.88059701492537</td>
</tr>
<tr class="row-15">
	<td class="column-1">San Antonio</td><td class="column-2">Texas</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.1340206185567</td><td class="column-6">0.8659793814433</td>
</tr>
<tr class="row-16">
	<td class="column-1">Jacksonville</td><td class="column-2">Florida</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.14285714285714</td><td class="column-6">0.85714285714286</td>
</tr>
<tr class="row-17">
	<td class="column-1">Berlin</td><td class="column-2">Berlin</td><td class="column-3">Germany</td><td class="column-4">Well-behaved</td><td class="column-5">0.14634146341463</td><td class="column-6">0.85365853658537</td>
</tr>
<tr class="row-18">
	<td class="column-1">Warsaw</td><td class="column-2">Masovian Voivodeship</td><td class="column-3">Poland</td><td class="column-4">Well-behaved</td><td class="column-5">0.16279069767442</td><td class="column-6">0.83720930232558</td>
</tr>
<tr class="row-19">
	<td class="column-1">Indianapolis</td><td class="column-2">Indiana</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.16901408450704</td><td class="column-6">0.83098591549296</td>
</tr>
<tr class="row-20">
	<td class="column-1">Tampa</td><td class="column-2">Florida</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.17647058823529</td><td class="column-6">0.82352941176471</td>
</tr>
<tr class="row-21">
	<td class="column-1">Virginia Beach</td><td class="column-2">Virginia</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.18181818181818</td><td class="column-6">0.81818181818182</td>
</tr>
<tr class="row-22">
	<td class="column-1">Mississauga</td><td class="column-2">Ontario</td><td class="column-3">Canada</td><td class="column-4">Well-behaved</td><td class="column-5">0.19480519480519</td><td class="column-6">0.80519480519481</td>
</tr>
<tr class="row-23">
	<td class="column-1">Guelph</td><td class="column-2">Ontario</td><td class="column-3">Canada</td><td class="column-4">Well-behaved</td><td class="column-5">0.2</td><td class="column-6">0.8</td>
</tr>
<tr class="row-24">
	<td class="column-1">Munich</td><td class="column-2">Bavaria</td><td class="column-3">Germany</td><td class="column-4">Well-behaved</td><td class="column-5">0.20689655172414</td><td class="column-6">0.79310344827586</td>
</tr>
<tr class="row-25">
	<td class="column-1">Montreal</td><td class="column-2">Quebec</td><td class="column-3">Canada</td><td class="column-4">Well-behaved</td><td class="column-5">0.22077922077922</td><td class="column-6">0.77922077922078</td>
</tr>
<tr class="row-26">
	<td class="column-1">Seattle</td><td class="column-2">Washington</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.22485207100592</td><td class="column-6">0.77514792899408</td>
</tr>
<tr class="row-27">
	<td class="column-1">Seoul</td><td class="column-2">Seoul</td><td class="column-3">South Korea</td><td class="column-4">Well-behaved</td><td class="column-5">0.22727272727273</td><td class="column-6">0.77272727272727</td>
</tr>
<tr class="row-28">
	<td class="column-1">Phoenix</td><td class="column-2">Arizona</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.22794117647059</td><td class="column-6">0.77205882352941</td>
</tr>
<tr class="row-29">
	<td class="column-1">San Diego</td><td class="column-2">California</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.25595238095238</td><td class="column-6">0.74404761904762</td>
</tr>
<tr class="row-30">
	<td class="column-1">Colorado Springs</td><td class="column-2">Colorado</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.26190476190476</td><td class="column-6">0.73809523809524</td>
</tr>
<tr class="row-31">
	<td class="column-1">Louisville</td><td class="column-2">Kentucky</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.27272727272727</td><td class="column-6">0.72727272727273</td>
</tr>
<tr class="row-32">
	<td class="column-1">Sacramento</td><td class="column-2">California</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.2741935483871</td><td class="column-6">0.7258064516129</td>
</tr>
<tr class="row-33">
	<td class="column-1">Orlando</td><td class="column-2">Florida</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.27941176470588</td><td class="column-6">0.72058823529412</td>
</tr>
<tr class="row-34">
	<td class="column-1">Kansas City</td><td class="column-2">Missouri</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.28571428571429</td><td class="column-6">0.71428571428571</td>
</tr>
<tr class="row-35">
	<td class="column-1">Windsor</td><td class="column-2">Ontario</td><td class="column-3">Canada</td><td class="column-4">Well-behaved</td><td class="column-5">0.29411764705882</td><td class="column-6">0.70588235294118</td>
</tr>
<tr class="row-36">
	<td class="column-1">Oakland</td><td class="column-2">California</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.2972972972973</td><td class="column-6">0.7027027027027</td>
</tr>
<tr class="row-37">
	<td class="column-1">Auckland</td><td class="column-2">Auckland</td><td class="column-3">New Zealand</td><td class="column-4">Well-behaved</td><td class="column-5">0.29936305732484</td><td class="column-6">0.70063694267516</td>
</tr>
<tr class="row-38">
	<td class="column-1">San Jose</td><td class="column-2">California</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.3030303030303</td><td class="column-6">0.6969696969697</td>
</tr>
<tr class="row-39">
	<td class="column-1">Richmond</td><td class="column-2">Virginia</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.30434782608696</td><td class="column-6">0.69565217391304</td>
</tr>
<tr class="row-40">
	<td class="column-1">Columbus</td><td class="column-2">Ohio</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.31034482758621</td><td class="column-6">0.68965517241379</td>
</tr>
<tr class="row-41">
	<td class="column-1">Las Vegas</td><td class="column-2">Nevada</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.3109243697479</td><td class="column-6">0.6890756302521</td>
</tr>
<tr class="row-42">
	<td class="column-1">London</td><td class="column-2">Ontario</td><td class="column-3">Canada</td><td class="column-4">Well-behaved</td><td class="column-5">0.32</td><td class="column-6">0.68</td>
</tr>
<tr class="row-43">
	<td class="column-1">Boulder</td><td class="column-2">Colorado</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.33333333333333</td><td class="column-6">0.66666666666667</td>
</tr>
<tr class="row-44">
	<td class="column-1">Edmonton</td><td class="column-2">Alberta</td><td class="column-3">Canada</td><td class="column-4">Well-behaved</td><td class="column-5">0.34020618556701</td><td class="column-6">0.65979381443299</td>
</tr>
<tr class="row-45">
	<td class="column-1">Calgary</td><td class="column-2">Alberta</td><td class="column-3">Canada</td><td class="column-4">Well-behaved</td><td class="column-5">0.34146341463415</td><td class="column-6">0.65853658536585</td>
</tr>
<tr class="row-46">
	<td class="column-1">Cape Town</td><td class="column-2">Western Cape</td><td class="column-3">South Africa</td><td class="column-4">Well-behaved</td><td class="column-5">0.34285714285714</td><td class="column-6">0.65714285714286</td>
</tr>
<tr class="row-47">
	<td class="column-1">San Francisco</td><td class="column-2">California</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.34659090909091</td><td class="column-6">0.65340909090909</td>
</tr>
<tr class="row-48">
	<td class="column-1">Gdańsk</td><td class="column-2">Pomeranian Voivodeship</td><td class="column-3">Poland</td><td class="column-4">Well-behaved</td><td class="column-5">0.35294117647059</td><td class="column-6">0.64705882352941</td>
</tr>
<tr class="row-49">
	<td class="column-1">Long Beach</td><td class="column-2">California</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.35483870967742</td><td class="column-6">0.64516129032258</td>
</tr>
<tr class="row-50">
	<td class="column-1">New York</td><td class="column-2">New York</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.35724533715925</td><td class="column-6">0.64275466284075</td>
</tr>
<tr class="row-51">
	<td class="column-1">Alexandria</td><td class="column-2">Virginia</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.359375</td><td class="column-6">0.640625</td>
</tr>
<tr class="row-52">
	<td class="column-1">Chicago</td><td class="column-2">Illinois</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.36092715231788</td><td class="column-6">0.63907284768212</td>
</tr>
<tr class="row-53">
	<td class="column-1">Los Angeles</td><td class="column-2">California</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.37755102040816</td><td class="column-6">0.62244897959184</td>
</tr>
<tr class="row-54">
	<td class="column-1">Dallas</td><td class="column-2">Texas</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.38356164383562</td><td class="column-6">0.61643835616438</td>
</tr>
<tr class="row-55">
	<td class="column-1">Austin</td><td class="column-2">Texas</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.38775510204082</td><td class="column-6">0.61224489795918</td>
</tr>
<tr class="row-56">
	<td class="column-1">Scottsdale</td><td class="column-2">Arizona</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.39285714285714</td><td class="column-6">0.60714285714286</td>
</tr>
<tr class="row-57">
	<td class="column-1">Portland</td><td class="column-2">Oregon</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.39316239316239</td><td class="column-6">0.60683760683761</td>
</tr>
<tr class="row-58">
	<td class="column-1">Toronto</td><td class="column-2">Ontario</td><td class="column-3">Canada</td><td class="column-4">Well-behaved</td><td class="column-5">0.39530332681018</td><td class="column-6">0.60469667318982</td>
</tr>
<tr class="row-59">
	<td class="column-1">Milwaukee</td><td class="column-2">Wisconsin</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.4</td><td class="column-6">0.6</td>
</tr>
<tr class="row-60">
	<td class="column-1">Denver</td><td class="column-2">Colorado</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.4041095890411</td><td class="column-6">0.5958904109589</td>
</tr>
<tr class="row-61">
	<td class="column-1">Boston</td><td class="column-2">Massachusetts</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.40650406504065</td><td class="column-6">0.59349593495935</td>
</tr>
<tr class="row-62">
	<td class="column-1">Norwich</td><td class="column-2">East of England</td><td class="column-3">United Kingdom</td><td class="column-4">Well-behaved</td><td class="column-5">0.40909090909091</td><td class="column-6">0.59090909090909</td>
</tr>
<tr class="row-63">
	<td class="column-1">Dublin</td><td class="column-2">County Dublin</td><td class="column-3">Ireland</td><td class="column-4">Well-behaved</td><td class="column-5">0.41044776119403</td><td class="column-6">0.58955223880597</td>
</tr>
<tr class="row-64">
	<td class="column-1">Atlanta</td><td class="column-2">Georgia</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.41216216216216</td><td class="column-6">0.58783783783784</td>
</tr>
<tr class="row-65">
	<td class="column-1">St. Louis</td><td class="column-2">Missouri</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.41666666666667</td><td class="column-6">0.58333333333333</td>
</tr>
<tr class="row-66">
	<td class="column-1">Frankfurt</td><td class="column-2">Hesse</td><td class="column-3">Germany</td><td class="column-4">Well-behaved</td><td class="column-5">0.42857142857143</td><td class="column-6">0.57142857142857</td>
</tr>
<tr class="row-67">
	<td class="column-1">Budapest</td><td class="column-2">Hungary</td><td class="column-3">Hungary</td><td class="column-4">Well-behaved</td><td class="column-5">0.43333333333333</td><td class="column-6">0.56666666666667</td>
</tr>
<tr class="row-68">
	<td class="column-1">Charleston</td><td class="column-2">South Carolina</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.44444444444444</td><td class="column-6">0.55555555555556</td>
</tr>
<tr class="row-69">
	<td class="column-1">Fort Worth</td><td class="column-2">Texas</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.45454545454545</td><td class="column-6">0.54545454545455</td>
</tr>
<tr class="row-70">
	<td class="column-1">Kamloops</td><td class="column-2">British Columbia</td><td class="column-3">Canada</td><td class="column-4">Well-behaved</td><td class="column-5">0.46153846153846</td><td class="column-6">0.53846153846154</td>
</tr>
<tr class="row-71">
	<td class="column-1">Jakarta</td><td class="column-2">Jakarta</td><td class="column-3">Indonesia</td><td class="column-4">Well-behaved</td><td class="column-5">0.46666666666667</td><td class="column-6">0.53333333333333</td>
</tr>
<tr class="row-72">
	<td class="column-1">Oslo</td><td class="column-2">Oslo</td><td class="column-3">Norway</td><td class="column-4">Well-behaved</td><td class="column-5">0.47058823529412</td><td class="column-6">0.52941176470588</td>
</tr>
<tr class="row-73">
	<td class="column-1">Halifax</td><td class="column-2">Nova Scotia</td><td class="column-3">Canada</td><td class="column-4">Well-behaved</td><td class="column-5">0.47368421052632</td><td class="column-6">0.52631578947368</td>
</tr>
<tr class="row-74">
	<td class="column-1">Fresno</td><td class="column-2">California</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.48148148148148</td><td class="column-6">0.51851851851852</td>
</tr>
<tr class="row-75">
	<td class="column-1">Brisbane</td><td class="column-2">Queensland</td><td class="column-3">Australia</td><td class="column-4">Well-behaved</td><td class="column-5">0.48372093023256</td><td class="column-6">0.51627906976744</td>
</tr>
<tr class="row-76">
	<td class="column-1">Vancouver</td><td class="column-2">British Columbia</td><td class="column-3">Canada</td><td class="column-4">Well-behaved</td><td class="column-5">0.49152542372881</td><td class="column-6">0.50847457627119</td>
</tr>
<tr class="row-77">
	<td class="column-1">Philadelphia</td><td class="column-2">Pennsylvania</td><td class="column-3">United States</td><td class="column-4">Well-behaved</td><td class="column-5">0.49593495934959</td><td class="column-6">0.50406504065041</td>
</tr>
<tr class="row-78">
	<td class="column-1">Kraków</td><td class="column-2">Lesser Poland Voivodeship</td><td class="column-3">Poland</td><td class="column-4">Neutral</td><td class="column-5">0.5</td><td class="column-6">0.5</td>
</tr>
<tr class="row-79">
	<td class="column-1">Huntington Beach</td><td class="column-2">California</td><td class="column-3">United States</td><td class="column-4">Neutral</td><td class="column-5">0.5</td><td class="column-6">0.5</td>
</tr>
<tr class="row-80">
	<td class="column-1">Barcelona</td><td class="column-2">Catalonia</td><td class="column-3">Spain</td><td class="column-4">Naughty</td><td class="column-5">0.51351351351351</td><td class="column-6">0.48648648648649</td>
</tr>
<tr class="row-81">
	<td class="column-1">Minneapolis</td><td class="column-2">Minnesota</td><td class="column-3">United States</td><td class="column-4">Naughty</td><td class="column-5">0.51515151515152</td><td class="column-6">0.48484848484848</td>
</tr>
<tr class="row-82">
	<td class="column-1">Wellington</td><td class="column-2">Wellington</td><td class="column-3">New Zealand</td><td class="column-4">Naughty</td><td class="column-5">0.51612903225806</td><td class="column-6">0.48387096774194</td>
</tr>
<tr class="row-83">
	<td class="column-1">Nashville</td><td class="column-2">Tennessee</td><td class="column-3">United States</td><td class="column-4">Naughty</td><td class="column-5">0.51807228915663</td><td class="column-6">0.48192771084337</td>
</tr>
<tr class="row-84">
	<td class="column-1">Burnaby</td><td class="column-2">British Columbia</td><td class="column-3">Canada</td><td class="column-4">Naughty</td><td class="column-5">0.53333333333333</td><td class="column-6">0.46666666666667</td>
</tr>
<tr class="row-85">
	<td class="column-1">Rome</td><td class="column-2">Lazio</td><td class="column-3">Italy</td><td class="column-4">Naughty</td><td class="column-5">0.54166666666667</td><td class="column-6">0.45833333333333</td>
</tr>
<tr class="row-86">
	<td class="column-1">Stockholm</td><td class="column-2">Stockholm County</td><td class="column-3">Sweden</td><td class="column-4">Naughty</td><td class="column-5">0.54545454545455</td><td class="column-6">0.45454545454545</td>
</tr>
<tr class="row-87">
	<td class="column-1">Pittsburgh</td><td class="column-2">Pennsylvania</td><td class="column-3">United States</td><td class="column-4">Naughty</td><td class="column-5">0.55102040816327</td><td class="column-6">0.44897959183673</td>
</tr>
<tr class="row-88">
	<td class="column-1">Kelowna</td><td class="column-2">British Columbia</td><td class="column-3">Canada</td><td class="column-4">Naughty</td><td class="column-5">0.55263157894737</td><td class="column-6">0.44736842105263</td>
</tr>
<tr class="row-89">
	<td class="column-1">Houston</td><td class="column-2">Texas</td><td class="column-3">United States</td><td class="column-4">Naughty</td><td class="column-5">0.55952380952381</td><td class="column-6">0.44047619047619</td>
</tr>
<tr class="row-90">
	<td class="column-1">New Orleans</td><td class="column-2">Louisiana</td><td class="column-3">United States</td><td class="column-4">Naughty</td><td class="column-5">0.56896551724138</td><td class="column-6">0.43103448275862</td>
</tr>
<tr class="row-91">
	<td class="column-1">Cincinnati</td><td class="column-2">Ohio</td><td class="column-3">United States</td><td class="column-4">Naughty</td><td class="column-5">0.57142857142857</td><td class="column-6">0.42857142857143</td>
</tr>
<tr class="row-92">
	<td class="column-1">Charlotte</td><td class="column-2">North Carolina</td><td class="column-3">United States</td><td class="column-4">Naughty</td><td class="column-5">0.57377049180328</td><td class="column-6">0.42622950819672</td>
</tr>
<tr class="row-93">
	<td class="column-1">Madison</td><td class="column-2">Wisconsin</td><td class="column-3">United States</td><td class="column-4">Naughty</td><td class="column-5">0.57692307692308</td><td class="column-6">0.42307692307692</td>
</tr>
<tr class="row-94">
	<td class="column-1">Delhi</td><td class="column-2">Delhi</td><td class="column-3">India</td><td class="column-4">Naughty</td><td class="column-5">0.58426966292135</td><td class="column-6">0.41573033707865</td>
</tr>
<tr class="row-95">
	<td class="column-1">Southend-on-Sea</td><td class="column-2">East of England</td><td class="column-3">United Kingdom</td><td class="column-4">Naughty</td><td class="column-5">0.58620689655172</td><td class="column-6">0.41379310344828</td>
</tr>
<tr class="row-96">
	<td class="column-1">Winnipeg</td><td class="column-2">Manitoba</td><td class="column-3">Canada</td><td class="column-4">Naughty</td><td class="column-5">0.58620689655172</td><td class="column-6">0.41379310344828</td>
</tr>
<tr class="row-97">
	<td class="column-1">Honolulu</td><td class="column-2">Hawaii</td><td class="column-3">United States</td><td class="column-4">Naughty</td><td class="column-5">0.59259259259259</td><td class="column-6">0.40740740740741</td>
</tr>
<tr class="row-98">
	<td class="column-1">Miami</td><td class="column-2">Florida</td><td class="column-3">United States</td><td class="column-4">Naughty</td><td class="column-5">0.59574468085106</td><td class="column-6">0.40425531914894</td>
</tr>
<tr class="row-99">
	<td class="column-1">North Vancouver</td><td class="column-2">British Columbia</td><td class="column-3">Canada</td><td class="column-4">Naughty</td><td class="column-5">0.61111111111111</td><td class="column-6">0.38888888888889</td>
</tr>
<tr class="row-100">
	<td class="column-1">Victoria</td><td class="column-2">British Columbia</td><td class="column-3">Canada</td><td class="column-4">Naughty</td><td class="column-5">0.61111111111111</td><td class="column-6">0.38888888888889</td>
</tr>
<tr class="row-101">
	<td class="column-1">Bristol</td><td class="column-2">South West</td><td class="column-3">United Kingdom</td><td class="column-4">Naughty</td><td class="column-5">0.61585365853659</td><td class="column-6">0.38414634146341</td>
</tr>
<tr class="row-102">
	<td class="column-1">Hamilton</td><td class="column-2">Ontario</td><td class="column-3">Canada</td><td class="column-4">Naughty</td><td class="column-5">0.63636363636364</td><td class="column-6">0.36363636363636</td>
</tr>
<tr class="row-103">
	<td class="column-1">Oakville</td><td class="column-2">Ontario</td><td class="column-3">Canada</td><td class="column-4">Naughty</td><td class="column-5">0.65</td><td class="column-6">0.35</td>
</tr>
<tr class="row-104">
	<td class="column-1">Perth</td><td class="column-2">Western Australia</td><td class="column-3">Australia</td><td class="column-4">Naughty</td><td class="column-5">0.656</td><td class="column-6">0.344</td>
</tr>
<tr class="row-105">
	<td class="column-1">Prague</td><td class="column-2">Prague</td><td class="column-3">Czechia</td><td class="column-4">Naughty</td><td class="column-5">0.66129032258065</td><td class="column-6">0.33870967741935</td>
</tr>
<tr class="row-106">
	<td class="column-1">Dubai</td><td class="column-2">Dubai</td><td class="column-3">United Arab Emirates</td><td class="column-4">Naughty</td><td class="column-5">0.66129032258065</td><td class="column-6">0.33870967741935</td>
</tr>
<tr class="row-107">
	<td class="column-1">Ottawa</td><td class="column-2">Ontario</td><td class="column-3">Canada</td><td class="column-4">Naughty</td><td class="column-5">0.67123287671233</td><td class="column-6">0.32876712328767</td>
</tr>
<tr class="row-108">
	<td class="column-1">Raleigh</td><td class="column-2">North Carolina</td><td class="column-3">United States</td><td class="column-4">Naughty</td><td class="column-5">0.67391304347826</td><td class="column-6">0.32608695652174</td>
</tr>
<tr class="row-109">
	<td class="column-1">Gold Coast</td><td class="column-2">Queensland</td><td class="column-3">Australia</td><td class="column-4">Naughty</td><td class="column-5">0.69072164948454</td><td class="column-6">0.30927835051546</td>
</tr>
<tr class="row-110">
	<td class="column-1">Edinburgh</td><td class="column-2">Scotland</td><td class="column-3">United Kingdom</td><td class="column-4">Naughty</td><td class="column-5">0.69298245614035</td><td class="column-6">0.30701754385965</td>
</tr>
<tr class="row-111">
	<td class="column-1">Amsterdam</td><td class="column-2">North Holland</td><td class="column-3">Netherlands</td><td class="column-4">Naughty</td><td class="column-5">0.7</td><td class="column-6">0.3</td>
</tr>
<tr class="row-112">
	<td class="column-1">Saskatoon</td><td class="column-2">Saskatchewan</td><td class="column-3">Canada</td><td class="column-4">Naughty</td><td class="column-5">0.7</td><td class="column-6">0.3</td>
</tr>
<tr class="row-113">
	<td class="column-1">Surrey</td><td class="column-2">British Columbia</td><td class="column-3">Canada</td><td class="column-4">Naughty</td><td class="column-5">0.73076923076923</td><td class="column-6">0.26923076923077</td>
</tr>
<tr class="row-114">
	<td class="column-1">Brighton</td><td class="column-2">South East</td><td class="column-3">United Kingdom</td><td class="column-4">Naughty</td><td class="column-5">0.73076923076923</td><td class="column-6">0.26923076923077</td>
</tr>
<tr class="row-115">
	<td class="column-1">Bournemouth</td><td class="column-2">South West</td><td class="column-3">United Kingdom</td><td class="column-4">Naughty</td><td class="column-5">0.73684210526316</td><td class="column-6">0.26315789473684</td>
</tr>
<tr class="row-116">
	<td class="column-1">Sydney</td><td class="column-2">New South Wales</td><td class="column-3">Australia</td><td class="column-4">Naughty</td><td class="column-5">0.7463556851312</td><td class="column-6">0.2536443148688</td>
</tr>
<tr class="row-117">
	<td class="column-1">Harrogate</td><td class="column-2">Yorkshire and the Humber</td><td class="column-3">United Kingdom</td><td class="column-4">Naughty</td><td class="column-5">0.75</td><td class="column-6">0.25</td>
</tr>
<tr class="row-118">
	<td class="column-1">Cleveland</td><td class="column-2">Ohio</td><td class="column-3">United States</td><td class="column-4">Naughty</td><td class="column-5">0.75</td><td class="column-6">0.25</td>
</tr>
<tr class="row-119">
	<td class="column-1">London</td><td class="column-2">London</td><td class="column-3">United Kingdom</td><td class="column-4">Naughty</td><td class="column-5">0.75436147941382</td><td class="column-6">0.24563852058618</td>
</tr>
<tr class="row-120">
	<td class="column-1">Cardiff</td><td class="column-2">Wales</td><td class="column-3">United Kingdom</td><td class="column-4">Naughty</td><td class="column-5">0.75862068965517</td><td class="column-6">0.24137931034483</td>
</tr>
<tr class="row-121">
	<td class="column-1">Sheffield</td><td class="column-2">Yorkshire and the Humber</td><td class="column-3">United Kingdom</td><td class="column-4">Naughty</td><td class="column-5">0.77272727272727</td><td class="column-6">0.22727272727273</td>
</tr>
<tr class="row-122">
	<td class="column-1">Mexico City</td><td class="column-2">Mexico City</td><td class="column-3">Mexico</td><td class="column-4">Naughty</td><td class="column-5">0.77777777777778</td><td class="column-6">0.22222222222222</td>
</tr>
<tr class="row-123">
	<td class="column-1">Kitchener</td><td class="column-2">Ontario</td><td class="column-3">Canada</td><td class="column-4">Naughty</td><td class="column-5">0.77777777777778</td><td class="column-6">0.22222222222222</td>
</tr>
<tr class="row-124">
	<td class="column-1">Leeds</td><td class="column-2">Yorkshire and the Humber</td><td class="column-3">United Kingdom</td><td class="column-4">Naughty</td><td class="column-5">0.77777777777778</td><td class="column-6">0.22222222222222</td>
</tr>
<tr class="row-125">
	<td class="column-1">Newcastle upon Tyne</td><td class="column-2">North East</td><td class="column-3">United Kingdom</td><td class="column-4">Naughty</td><td class="column-5">0.78217821782178</td><td class="column-6">0.21782178217822</td>
</tr>
<tr class="row-126">
	<td class="column-1">Belfast</td><td class="column-2">Northern Ireland</td><td class="column-3">United Kingdom</td><td class="column-4">Naughty</td><td class="column-5">0.78947368421053</td><td class="column-6">0.21052631578947</td>
</tr>
<tr class="row-127">
	<td class="column-1">Poole</td><td class="column-2">South West</td><td class="column-3">United Kingdom</td><td class="column-4">Naughty</td><td class="column-5">0.78947368421053</td><td class="column-6">0.21052631578947</td>
</tr>
<tr class="row-128">
	<td class="column-1">Birmingham</td><td class="column-2">West Midlands</td><td class="column-3">United Kingdom</td><td class="column-4">Naughty</td><td class="column-5">0.79411764705882</td><td class="column-6">0.20588235294118</td>
</tr>
<tr class="row-129">
	<td class="column-1">Adelaide</td><td class="column-2">South Australia</td><td class="column-3">Australia</td><td class="column-4">Naughty</td><td class="column-5">0.80392156862745</td><td class="column-6">0.19607843137255</td>
</tr>
<tr class="row-130">
	<td class="column-1">Oxford</td><td class="column-2">South East</td><td class="column-3">United Kingdom</td><td class="column-4">Naughty</td><td class="column-5">0.80769230769231</td><td class="column-6">0.19230769230769</td>
</tr>
<tr class="row-131">
	<td class="column-1">Mumbai</td><td class="column-2">Maharashtra</td><td class="column-3">India</td><td class="column-4">Naughty</td><td class="column-5">0.84375</td><td class="column-6">0.15625</td>
</tr>
<tr class="row-132">
	<td class="column-1">Glasgow</td><td class="column-2">Scotland</td><td class="column-3">United Kingdom</td><td class="column-4">Naughty</td><td class="column-5">0.84615384615385</td><td class="column-6">0.15384615384615</td>
</tr>
<tr class="row-133">
	<td class="column-1">Singapore</td><td class="column-2">Singapore</td><td class="column-3">Singapore</td><td class="column-4">Naughty</td><td class="column-5">0.85714285714286</td><td class="column-6">0.14285714285714</td>
</tr>
<tr class="row-134">
	<td class="column-1">Pontefract</td><td class="column-2">Yorkshire and the Humber</td><td class="column-3">United Kingdom</td><td class="column-4">Naughty</td><td class="column-5">0.85714285714286</td><td class="column-6">0.14285714285714</td>
</tr>
<tr class="row-135">
	<td class="column-1">Liverpool</td><td class="column-2">North West</td><td class="column-3">United Kingdom</td><td class="column-4">Naughty</td><td class="column-5">0.86111111111111</td><td class="column-6">0.13888888888889</td>
</tr>
<tr class="row-136">
	<td class="column-1">Manchester</td><td class="column-2">North West</td><td class="column-3">United Kingdom</td><td class="column-4">Naughty</td><td class="column-5">0.86190476190476</td><td class="column-6">0.13809523809524</td>
</tr>
<tr class="row-137">
	<td class="column-1">York</td><td class="column-2">Yorkshire and the Humber</td><td class="column-3">United Kingdom</td><td class="column-4">Naughty</td><td class="column-5">0.88</td><td class="column-6">0.12</td>
</tr>
<tr class="row-138">
	<td class="column-1">Bath</td><td class="column-2">South West</td><td class="column-3">United Kingdom</td><td class="column-4">Naughty</td><td class="column-5">0.88235294117647</td><td class="column-6">0.11764705882353</td>
</tr>
<tr class="row-139">
	<td class="column-1">Hamburg</td><td class="column-2">Hamburg</td><td class="column-3">Germany</td><td class="column-4">Naughty</td><td class="column-5">0.88709677419355</td><td class="column-6">0.11290322580645</td>
</tr>
<tr class="row-140">
	<td class="column-1">Hong Kong</td><td class="column-2">Hong Kong</td><td class="column-3">Hong Kong</td><td class="column-4">Naughty</td><td class="column-5">0.89261744966443</td><td class="column-6">0.10738255033557</td>
</tr>
<tr class="row-141">
	<td class="column-1">Derby</td><td class="column-2">East Midlands</td><td class="column-3">United Kingdom</td><td class="column-4">Naughty</td><td class="column-5">0.89473684210526</td><td class="column-6">0.10526315789474</td>
</tr>
<tr class="row-142">
	<td class="column-1">Plymouth</td><td class="column-2">South West</td><td class="column-3">United Kingdom</td><td class="column-4">Naughty</td><td class="column-5">0.9</td><td class="column-6">0.1</td>
</tr>
<tr class="row-143">
	<td class="column-1">Melbourne</td><td class="column-2">Victoria</td><td class="column-3">Australia</td><td class="column-4">Naughty</td><td class="column-5">0.91582229150429</td><td class="column-6">0.084177708495713</td>
</tr>
<tr class="row-144">
	<td class="column-1">Bengaluru</td><td class="column-2">Karnataka</td><td class="column-3">India</td><td class="column-4">Naughty</td><td class="column-5">0.92307692307692</td><td class="column-6">0.076923076923077</td>
</tr>
<tr class="row-145">
	<td class="column-1">Leicester</td><td class="column-2">East Midlands</td><td class="column-3">United Kingdom</td><td class="column-4">Naughty</td><td class="column-5">0.9375</td><td class="column-6">0.0625</td>
</tr>
<tr class="row-146">
	<td class="column-1">Preston</td><td class="column-2">North West</td><td class="column-3">United Kingdom</td><td class="column-4">Naughty</td><td class="column-5">0.9375</td><td class="column-6">0.0625</td>
</tr>
<tr class="row-147">
	<td class="column-1">Nottingham</td><td class="column-2">East Midlands</td><td class="column-3">United Kingdom</td><td class="column-4">Naughty</td><td class="column-5">0.97256097560976</td><td class="column-6">0.027439024390244</td>
</tr>
<tr class="row-148">
	<td class="column-1">Canberra</td><td class="column-2">Australian Capital Territory</td><td class="column-3">Australia</td><td class="column-4">Naughty</td><td class="column-5">0.99736147757256</td><td class="column-6">0.0026385224274406</td>
</tr>
</tbody>
</table>




<h5 class="wp-block-heading">The U.S. states with bad and good dog Instagram hashtags</h5>



<p class="wp-block-paragraph">With an estimated 89.7 million dogs, according to the American Pet Products Association, it&#8217;s safe to say that America is a country of <a href="https://vividmaps.com/cats-or-dogs/">dog-lovers</a>. But which U.S. states are home to the naughtiest dogs? The ration of bad-dog hashtags on Instagram across each state reveals that Kansas is the home of mischievous mutts.</p>



<figure class="wp-block-image size-large"><a href="https://vividmaps.com/wp-content/uploads/2021/10/Naughtiest-and-Best-Behaved-Dog-Breeds-US-States-Map.jpg"><img loading="lazy" decoding="async" width="893" height="1024" src="https://vividmaps.com/wp-content/uploads/2021/10/Naughtiest-and-Best-Behaved-Dog-Breeds-US-States-Map-893x1024.jpg" alt="The U.S. states with the naughtiest dogs mapped" class="wp-image-28448" srcset="https://vividmaps.com/wp-content/uploads/2021/10/Naughtiest-and-Best-Behaved-Dog-Breeds-US-States-Map-893x1024.jpg 893w, https://vividmaps.com/wp-content/uploads/2021/10/Naughtiest-and-Best-Behaved-Dog-Breeds-US-States-Map-262x300.jpg 262w, https://vividmaps.com/wp-content/uploads/2021/10/Naughtiest-and-Best-Behaved-Dog-Breeds-US-States-Map-768x880.jpg 768w, https://vividmaps.com/wp-content/uploads/2021/10/Naughtiest-and-Best-Behaved-Dog-Breeds-US-States-Map-1340x1536.jpg 1340w, https://vividmaps.com/wp-content/uploads/2021/10/Naughtiest-and-Best-Behaved-Dog-Breeds-US-States-Map.jpg 1600w" sizes="auto, (max-width: 893px) 100vw, 893px" /></a></figure>



<h6 class="wp-block-heading">U.S. states  by percentage of posts with bad and good dog Instagram hashtags</h6>




<table id="tablepress-141" class="tablepress tablepress-id-141">
<thead>
<tr class="row-1">
	<th class="column-1">State</th><th class="column-2">Outcome</th><th class="column-3">% of posts with naughty hashtags</th><th class="column-4">% of posts with well-behaved hashtags</th>
</tr>
</thead>
<tbody class="row-striping row-hover">
<tr class="row-2">
	<td class="column-1">Kansas</td><td class="column-2">Naughty</td><td class="column-3">0.56521739130435</td><td class="column-4">0.43478260869565</td>
</tr>
<tr class="row-3">
	<td class="column-1">North Carolina</td><td class="column-2">Naughty</td><td class="column-3">0.53963414634146</td><td class="column-4">0.46036585365854</td>
</tr>
<tr class="row-4">
	<td class="column-1">South Dakota</td><td class="column-2">Neutral</td><td class="column-3">0.5</td><td class="column-4">0.5</td>
</tr>
<tr class="row-5">
	<td class="column-1">West Virginia</td><td class="column-2">Neutral</td><td class="column-3">0.5</td><td class="column-4">0.5</td>
</tr>
<tr class="row-6">
	<td class="column-1">Arkansas</td><td class="column-2">Well-behaved</td><td class="column-3">0.48571428571429</td><td class="column-4">0.51428571428571</td>
</tr>
<tr class="row-7">
	<td class="column-1">Louisiana</td><td class="column-2">Well-behaved</td><td class="column-3">0.47272727272727</td><td class="column-4">0.52727272727273</td>
</tr>
<tr class="row-8">
	<td class="column-1">Alabama</td><td class="column-2">Well-behaved</td><td class="column-3">0.45679012345679</td><td class="column-4">0.54320987654321</td>
</tr>
<tr class="row-9">
	<td class="column-1">Hawaii</td><td class="column-2">Well-behaved</td><td class="column-3">0.45</td><td class="column-4">0.55</td>
</tr>
<tr class="row-10">
	<td class="column-1">Pennsylvania</td><td class="column-2">Well-behaved</td><td class="column-3">0.44021739130435</td><td class="column-4">0.55978260869565</td>
</tr>
<tr class="row-11">
	<td class="column-1">Georgia</td><td class="column-2">Well-behaved</td><td class="column-3">0.43877551020408</td><td class="column-4">0.56122448979592</td>
</tr>
<tr class="row-12">
	<td class="column-1">Nebraska</td><td class="column-2">Well-behaved</td><td class="column-3">0.42307692307692</td><td class="column-4">0.57692307692308</td>
</tr>
<tr class="row-13">
	<td class="column-1">New Jersey</td><td class="column-2">Well-behaved</td><td class="column-3">0.41891891891892</td><td class="column-4">0.58108108108108</td>
</tr>
<tr class="row-14">
	<td class="column-1">Ohio</td><td class="column-2">Well-behaved</td><td class="column-3">0.40860215053763</td><td class="column-4">0.59139784946237</td>
</tr>
<tr class="row-15">
	<td class="column-1">Tennessee</td><td class="column-2">Well-behaved</td><td class="column-3">0.40555555555556</td><td class="column-4">0.59444444444444</td>
</tr>
<tr class="row-16">
	<td class="column-1">Missouri</td><td class="column-2">Well-behaved</td><td class="column-3">0.39393939393939</td><td class="column-4">0.60606060606061</td>
</tr>
<tr class="row-17">
	<td class="column-1">Minnesota</td><td class="column-2">Well-behaved</td><td class="column-3">0.39156626506024</td><td class="column-4">0.60843373493976</td>
</tr>
<tr class="row-18">
	<td class="column-1">Connecticut</td><td class="column-2">Well-behaved</td><td class="column-3">0.3717277486911</td><td class="column-4">0.6282722513089</td>
</tr>
<tr class="row-19">
	<td class="column-1">Michigan</td><td class="column-2">Well-behaved</td><td class="column-3">0.36036036036036</td><td class="column-4">0.63963963963964</td>
</tr>
<tr class="row-20">
	<td class="column-1">South Carolina</td><td class="column-2">Well-behaved</td><td class="column-3">0.36021505376344</td><td class="column-4">0.63978494623656</td>
</tr>
<tr class="row-21">
	<td class="column-1">Mississippi</td><td class="column-2">Well-behaved</td><td class="column-3">0.35714285714286</td><td class="column-4">0.64285714285714</td>
</tr>
<tr class="row-22">
	<td class="column-1">Texas</td><td class="column-2">Well-behaved</td><td class="column-3">0.35684647302905</td><td class="column-4">0.64315352697095</td>
</tr>
<tr class="row-23">
	<td class="column-1">Wisconsin</td><td class="column-2">Well-behaved</td><td class="column-3">0.3546511627907</td><td class="column-4">0.6453488372093</td>
</tr>
<tr class="row-24">
	<td class="column-1">North Dakota</td><td class="column-2">Well-behaved</td><td class="column-3">0.35294117647059</td><td class="column-4">0.64705882352941</td>
</tr>
<tr class="row-25">
	<td class="column-1">Colorado</td><td class="column-2">Well-behaved</td><td class="column-3">0.34352941176471</td><td class="column-4">0.65647058823529</td>
</tr>
<tr class="row-26">
	<td class="column-1">Illinois</td><td class="column-2">Well-behaved</td><td class="column-3">0.32964601769912</td><td class="column-4">0.67035398230088</td>
</tr>
<tr class="row-27">
	<td class="column-1">California</td><td class="column-2">Well-behaved</td><td class="column-3">0.3214709371293</td><td class="column-4">0.6785290628707</td>
</tr>
<tr class="row-28">
	<td class="column-1">New Hampshire</td><td class="column-2">Well-behaved</td><td class="column-3">0.32</td><td class="column-4">0.68</td>
</tr>
<tr class="row-29">
	<td class="column-1">Massachusetts</td><td class="column-2">Well-behaved</td><td class="column-3">0.31989924433249</td><td class="column-4">0.68010075566751</td>
</tr>
<tr class="row-30">
	<td class="column-1">New York</td><td class="column-2">Well-behaved</td><td class="column-3">0.31938125568699</td><td class="column-4">0.68061874431301</td>
</tr>
<tr class="row-31">
	<td class="column-1">Nevada</td><td class="column-2">Well-behaved</td><td class="column-3">0.31547619047619</td><td class="column-4">0.68452380952381</td>
</tr>
<tr class="row-32">
	<td class="column-1">New Mexico</td><td class="column-2">Well-behaved</td><td class="column-3">0.30769230769231</td><td class="column-4">0.69230769230769</td>
</tr>
<tr class="row-33">
	<td class="column-1">Delaware</td><td class="column-2">Well-behaved</td><td class="column-3">0.30434782608696</td><td class="column-4">0.69565217391304</td>
</tr>
<tr class="row-34">
	<td class="column-1">Arizona</td><td class="column-2">Well-behaved</td><td class="column-3">0.3027989821883</td><td class="column-4">0.6972010178117</td>
</tr>
<tr class="row-35">
	<td class="column-1">Alaska</td><td class="column-2">Well-behaved</td><td class="column-3">0.30188679245283</td><td class="column-4">0.69811320754717</td>
</tr>
<tr class="row-36">
	<td class="column-1">Kentucky</td><td class="column-2">Well-behaved</td><td class="column-3">0.29885057471264</td><td class="column-4">0.70114942528736</td>
</tr>
<tr class="row-37">
	<td class="column-1">Utah</td><td class="column-2">Well-behaved</td><td class="column-3">0.29885057471264</td><td class="column-4">0.70114942528736</td>
</tr>
<tr class="row-38">
	<td class="column-1">Virginia</td><td class="column-2">Well-behaved</td><td class="column-3">0.28650137741047</td><td class="column-4">0.71349862258953</td>
</tr>
<tr class="row-39">
	<td class="column-1">Idaho</td><td class="column-2">Well-behaved</td><td class="column-3">0.27450980392157</td><td class="column-4">0.72549019607843</td>
</tr>
<tr class="row-40">
	<td class="column-1">Iowa</td><td class="column-2">Well-behaved</td><td class="column-3">0.25806451612903</td><td class="column-4">0.74193548387097</td>
</tr>
<tr class="row-41">
	<td class="column-1">Oregon</td><td class="column-2">Well-behaved</td><td class="column-3">0.256</td><td class="column-4">0.744</td>
</tr>
<tr class="row-42">
	<td class="column-1">Vermont</td><td class="column-2">Well-behaved</td><td class="column-3">0.25</td><td class="column-4">0.75</td>
</tr>
<tr class="row-43">
	<td class="column-1">Wyoming</td><td class="column-2">Well-behaved</td><td class="column-3">0.25</td><td class="column-4">0.75</td>
</tr>
<tr class="row-44">
	<td class="column-1">Rhode Island</td><td class="column-2">Well-behaved</td><td class="column-3">0.23809523809524</td><td class="column-4">0.76190476190476</td>
</tr>
<tr class="row-45">
	<td class="column-1">Washington</td><td class="column-2">Well-behaved</td><td class="column-3">0.22614840989399</td><td class="column-4">0.77385159010601</td>
</tr>
<tr class="row-46">
	<td class="column-1">Oklahoma</td><td class="column-2">Well-behaved</td><td class="column-3">0.22522522522523</td><td class="column-4">0.77477477477477</td>
</tr>
<tr class="row-47">
	<td class="column-1">Florida</td><td class="column-2">Well-behaved</td><td class="column-3">0.21720881427072</td><td class="column-4">0.78279118572928</td>
</tr>
<tr class="row-48">
	<td class="column-1">Montana</td><td class="column-2">Well-behaved</td><td class="column-3">0.2089552238806</td><td class="column-4">0.7910447761194</td>
</tr>
<tr class="row-49">
	<td class="column-1">Indiana</td><td class="column-2">Well-behaved</td><td class="column-3">0.19277108433735</td><td class="column-4">0.80722891566265</td>
</tr>
<tr class="row-50">
	<td class="column-1">Maine</td><td class="column-2">Well-behaved</td><td class="column-3">0.18823529411765</td><td class="column-4">0.81176470588235</td>
</tr>
<tr class="row-51">
	<td class="column-1">Maryland</td><td class="column-2">Well-behaved</td><td class="column-3">0.17549668874172</td><td class="column-4">0.82450331125828</td>
</tr>
<tr class="row-52">
	<td class="column-1">District of Columbia</td><td class="column-2">Well-behaved</td><td class="column-3">0.075782537067545</td><td class="column-4">0.92421746293245</td>
</tr>
</tbody>
</table>




<h5 class="wp-block-heading">Key Findings</h5>



<p class="wp-block-paragraph">• The best-behaved dog breed on Instagram is the Korean Jindo Dog, with 75.86 percent positive behavior tags.<br>• Instagram&#8217;s naughtiest dog breed is the Japanese Spitz, with 86.67 percent of Spitz behavior posts describing bad behavior.<br>• South Africa is a country to the naughtiest dogs &#8211; 87.85 percent of dog behavior Instagram posts are negative.<br>• Ukraine is the home of good boys, with a 96.72 percent good behavior record.<br>• Moscow (Russia) is the city with the best boys (98.41 percent positive).<br>• Canberra (Australia) is the city with the naughtiest dogs (99.74 percent negative)</p>
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]]></content:encoded>
					
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			<slash:comments>1</slash:comments>
		
		
			</item>
		<item>
		<title>The most popular dog names around the world</title>
		<link>https://vividmaps.com/most-popular-dog-names/</link>
					<comments>https://vividmaps.com/most-popular-dog-names/#comments</comments>
		
		<dc:creator><![CDATA[Alex]]></dc:creator>
		<pubDate>Thu, 23 Sep 2021 12:41:57 +0000</pubDate>
				<category><![CDATA[Animals]]></category>
		<category><![CDATA[dogs]]></category>
		<category><![CDATA[Names]]></category>
		<category><![CDATA[World]]></category>
		<guid isPermaLink="false">https://vividmaps.com/?p=28080</guid>

					<description><![CDATA[<p>Bella and Max are trendy dog names in Australia, but you'll find many more Coco's and Sora's in Japan. So how do the rest of the world name their four-legged friends?</p>
<p>The post <a href="https://vividmaps.com/most-popular-dog-names/">The most popular dog names around the world</a> appeared first on <a href="https://vividmaps.com">Vivid Maps</a>.</p>
]]></description>
										<content:encoded><![CDATA[
<p class="wp-block-paragraph">Greeting a puppy into your house is the height of domesticity, but dog name inspiration can get from the most unexpected places.</p>



<p class="wp-block-paragraph">There are thousands of funny puppy names worldwide that might capture the character of your new dog.</p>



<p class="wp-block-paragraph">Bella and Max are trendy dog names in Australia, but you&#8217;ll find many more Coco&#8217;s and Sora&#8217;s in Japan. So how do the rest of the world name their four-legged friends?</p>



<p class="wp-block-paragraph">The pet insurance team at <a href="https://www.budgetdirect.com.au/blog/the-most-popular-dog-names-around-the-world.html" data-type="URL" data-id="https://www.budgetdirect.com.au/blog/the-most-popular-dog-names-around-the-world.html" target="_blank" rel="noreferrer noopener">Budget Direct</a> tried to get the most popular ones in every nation and mapped them out to assist you in finding one you won&#8217;t mind shouting in the street.</p>







<p class="wp-block-paragraph">To determine which <a href="https://vividmaps.com/dog-maps/">dog</a> names are the most popular globally, the pet insurance team at Budget Direct researched the top 10 male and female dogs names in every nation using data from public dog registers, animal welfare charities, and animal insurance providers. The Budget Direct team then cross-referenced these lists to identify the most popular male and female names worldwide.</p>



<p class="wp-block-paragraph">The dog names were scored according to their rank within each country (1st = 10 points, to 10th = 1 point). These scores were tallied across countries to determine the most popular male and female dog names globally.</p>



<p class="wp-block-paragraph">Here are the most popular male and female dog names in each country, mapped:</p>



<h5 class="wp-block-heading">The most popular male dog names worldwide</h5>



<p class="wp-block-paragraph">The most common male dog name worldwide is Max.</p>



<figure class="wp-block-image size-large"><a href="https://vividmaps.com/wp-content/uploads/2021/09/Most-Popular-Male-Dog-Names.jpg"><img loading="lazy" decoding="async" width="1024" height="811" src="https://vividmaps.com/wp-content/uploads/2021/09/Most-Popular-Male-Dog-Names-1024x811.jpg" alt="world map of the most popular male dog names" class="wp-image-28081" srcset="https://vividmaps.com/wp-content/uploads/2021/09/Most-Popular-Male-Dog-Names-1024x811.jpg 1024w, https://vividmaps.com/wp-content/uploads/2021/09/Most-Popular-Male-Dog-Names-300x238.jpg 300w, https://vividmaps.com/wp-content/uploads/2021/09/Most-Popular-Male-Dog-Names-768x608.jpg 768w, https://vividmaps.com/wp-content/uploads/2021/09/Most-Popular-Male-Dog-Names-1536x1216.jpg 1536w, https://vividmaps.com/wp-content/uploads/2021/09/Most-Popular-Male-Dog-Names.jpg 1600w" sizes="auto, (max-width: 1024px) 100vw, 1024px" /></a></figure>




<table id="tablepress-132" class="tablepress tablepress-id-132">
<thead>
<tr class="row-1">
	<th class="column-1">Country</th><th class="column-2">Name #1</th><th class="column-3">Name #2</th><th class="column-4">Name #3</th>
</tr>
</thead>
<tbody class="row-striping row-hover">
<tr class="row-2">
	<td class="column-1">Albania</td><td class="column-2">Kings</td><td class="column-3">Alfi</td><td class="column-4">Max</td>
</tr>
<tr class="row-3">
	<td class="column-1">Argentina</td><td class="column-2">Milo</td><td class="column-3">Simon</td><td class="column-4">Teo</td>
</tr>
<tr class="row-4">
	<td class="column-1">Australia</td><td class="column-2">Charlie</td><td class="column-3">Max</td><td class="column-4">Buddy</td>
</tr>
<tr class="row-5">
	<td class="column-1">Austria</td><td class="column-2">Balu</td><td class="column-3">Rocky</td><td class="column-4">Lucky</td>
</tr>
<tr class="row-6">
	<td class="column-1">Belgium</td><td class="column-2">Jack</td><td class="column-3">Max</td><td class="column-4">Bo</td>
</tr>
<tr class="row-7">
	<td class="column-1">Brazil</td><td class="column-2">Thor</td><td class="column-3">Luke</td><td class="column-4">Bob</td>
</tr>
<tr class="row-8">
	<td class="column-1">Canada</td><td class="column-2">Charlie</td><td class="column-3">Max</td><td class="column-4">Milo</td>
</tr>
<tr class="row-9">
	<td class="column-1">Chile</td><td class="column-2">Toby</td><td class="column-3">Lucas</td><td class="column-4">Jack</td>
</tr>
<tr class="row-10">
	<td class="column-1">Colombia</td><td class="column-2">Mateo</td><td class="column-3">Lucas</td><td class="column-4">Bruno</td>
</tr>
<tr class="row-11">
	<td class="column-1">Costa Rica</td><td class="column-2">Max</td><td class="column-3">Tom</td><td class="column-4">Rocky</td>
</tr>
<tr class="row-12">
	<td class="column-1">Croatia</td><td class="column-2">Max</td><td class="column-3">Rex</td><td class="column-4">Lun</td>
</tr>
<tr class="row-13">
	<td class="column-1">Czechia</td><td class="column-2">Charlie</td><td class="column-3">Buddy</td><td class="column-4">Andy</td>
</tr>
<tr class="row-14">
	<td class="column-1">Denmark</td><td class="column-2">Charlie</td><td class="column-3">Balder</td><td class="column-4">Max</td>
</tr>
<tr class="row-15">
	<td class="column-1">Ecuador</td><td class="column-2">Max</td><td class="column-3">Rex</td><td class="column-4">Jack</td>
</tr>
<tr class="row-16">
	<td class="column-1">Egypt</td><td class="column-2">Brando</td><td class="column-3">Lucky</td><td class="column-4">Rex</td>
</tr>
<tr class="row-17">
	<td class="column-1">Estonia</td><td class="column-2">Leedi</td><td class="column-3">Bruno</td><td class="column-4">Lord</td>
</tr>
<tr class="row-18">
	<td class="column-1">Finland</td><td class="column-2">Omni</td><td class="column-3">Sisu</td><td class="column-4">Hugo</td>
</tr>
<tr class="row-19">
	<td class="column-1">France</td><td class="column-2">Lucky</td><td class="column-3">Max</td><td class="column-4">Jack</td>
</tr>
<tr class="row-20">
	<td class="column-1">Georgia</td><td class="column-2">Bailey</td><td class="column-3">Max</td><td class="column-4">Charlie</td>
</tr>
<tr class="row-21">
	<td class="column-1">Germany</td><td class="column-2">Balu</td><td class="column-3">Buddy</td><td class="column-4">Milo</td>
</tr>
<tr class="row-22">
	<td class="column-1">Ghana</td><td class="column-2">Bia</td><td class="column-3">Ejura</td><td class="column-4">Madina</td>
</tr>
<tr class="row-23">
	<td class="column-1">Greece</td><td class="column-2">Max</td><td class="column-3">Charlie</td><td class="column-4">Cooper</td>
</tr>
<tr class="row-24">
	<td class="column-1">Hungary</td><td class="column-2">Kutya</td><td class="column-3">Buksi</td><td class="column-4">Maci</td>
</tr>
<tr class="row-25">
	<td class="column-1">Iceland</td><td class="column-2">Moli</td><td class="column-3">Tinni</td><td class="column-4">Skuggi</td>
</tr>
<tr class="row-26">
	<td class="column-1">India</td><td class="column-2">Raja</td><td class="column-3">Yogi</td><td class="column-4">Tiger</td>
</tr>
<tr class="row-27">
	<td class="column-1">Indonesia</td><td class="column-2">Buddy</td><td class="column-3">Duke</td><td class="column-4">Bear</td>
</tr>
<tr class="row-28">
	<td class="column-1">Ireland (Republic)</td><td class="column-2">Charlie</td><td class="column-3">Alfie</td><td class="column-4">Max</td>
</tr>
<tr class="row-29">
	<td class="column-1">Israel</td><td class="column-2">Louis</td><td class="column-3">Toy</td><td class="column-4">Johnny</td>
</tr>
<tr class="row-30">
	<td class="column-1">Italy</td><td class="column-2">Jack</td><td class="column-3">Lucky</td><td class="column-4">Leo</td>
</tr>
<tr class="row-31">
	<td class="column-1">Japan</td><td class="column-2">Sora</td><td class="column-3">Leo</td><td class="column-4">Kotaro</td>
</tr>
<tr class="row-32">
	<td class="column-1">Latvia</td><td class="column-2">Bruno</td><td class="column-3">Bingo</td><td class="column-4">Leo</td>
</tr>
<tr class="row-33">
	<td class="column-1">Lithuania</td><td class="column-2">Draugas</td><td class="column-3">Maks</td><td class="column-4">Carlis</td>
</tr>
<tr class="row-34">
	<td class="column-1">Mexico</td><td class="column-2">Max</td><td class="column-3">Bruno</td><td class="column-4">Toby</td>
</tr>
<tr class="row-35">
	<td class="column-1">Netherlands</td><td class="column-2">Max</td><td class="column-3">Buddy</td><td class="column-4">Joep</td>
</tr>
<tr class="row-36">
	<td class="column-1">New Zealand</td><td class="column-2">Charlie</td><td class="column-3">Max</td><td class="column-4">Buddy</td>
</tr>
<tr class="row-37">
	<td class="column-1">North Macedonia</td><td class="column-2">Buddy</td><td class="column-3">Duke</td><td class="column-4">Bear</td>
</tr>
<tr class="row-38">
	<td class="column-1">Norway</td><td class="column-2">Max</td><td class="column-3">Leo</td><td class="column-4">Milo</td>
</tr>
<tr class="row-39">
	<td class="column-1">Poland</td><td class="column-2">Azor</td><td class="column-3">Igor</td><td class="column-4">Burek</td>
</tr>
<tr class="row-40">
	<td class="column-1">Portugal</td><td class="column-2">Max</td><td class="column-3">Simba</td><td class="column-4">Rex</td>
</tr>
<tr class="row-41">
	<td class="column-1">Romania</td><td class="column-2">Max</td><td class="column-3">Buddy</td><td class="column-4">Charlie</td>
</tr>
<tr class="row-42">
	<td class="column-1">Russia</td><td class="column-2">Oscar</td><td class="column-3">Zeus</td><td class="column-4">Elisey</td>
</tr>
<tr class="row-43">
	<td class="column-1">Serbia</td><td class="column-2">Max</td><td class="column-3">Rex</td><td class="column-4">Tom</td>
</tr>
<tr class="row-44">
	<td class="column-1">Singapore</td><td class="column-2">Milo</td><td class="column-3">Max</td><td class="column-4">Cookie</td>
</tr>
<tr class="row-45">
	<td class="column-1">Slovakia</td><td class="column-2">Max</td><td class="column-3">Charlie</td><td class="column-4">Buddy</td>
</tr>
<tr class="row-46">
	<td class="column-1">Slovenia</td><td class="column-2">Medot</td><td class="column-3">Rex</td><td class="column-4">Max</td>
</tr>
<tr class="row-47">
	<td class="column-1">South Korea</td><td class="column-2">Coco</td><td class="column-3">Choco</td><td class="column-4">Tofu</td>
</tr>
<tr class="row-48">
	<td class="column-1">Spain</td><td class="column-2">Coco</td><td class="column-3">Thor</td><td class="column-4">Max</td>
</tr>
<tr class="row-49">
	<td class="column-1">Sweden</td><td class="column-2">Charlie</td><td class="column-3">Ludde</td><td class="column-4">Rocky</td>
</tr>
<tr class="row-50">
	<td class="column-1">Switzerland</td><td class="column-2">Rocky</td><td class="column-3">Lucky</td><td class="column-4">Max</td>
</tr>
<tr class="row-51">
	<td class="column-1">Turkey</td><td class="column-2">Duman</td><td class="column-3">Findik</td><td class="column-4">Leo</td>
</tr>
<tr class="row-52">
	<td class="column-1">United Kingdom</td><td class="column-2">Alfie</td><td class="column-3">Charlie</td><td class="column-4">Milo</td>
</tr>
<tr class="row-53">
	<td class="column-1">United States of America</td><td class="column-2">Max</td><td class="column-3">Charlie</td><td class="column-4">Cooper</td>
</tr>
<tr class="row-54">
	<td class="column-1">Venezuela</td><td class="column-2">Max</td><td class="column-3">Rex</td><td class="column-4">Jack</td>
</tr>
</tbody>
</table>
<!-- #tablepress-132 from cache -->



<h6 class="wp-block-heading">Top 10 most popular male dog names</h6>



<figure class="wp-block-table is-style-stripes"><table><thead><tr><th> Rank </th><th> Male dog name </th><th>  Male dog name </th></tr></thead><tbody><tr><td>1</td><td>Max</td><td>280</td></tr><tr><td>2</td><td>Charlie</td><td>135</td></tr><tr><td>3</td><td>Buddy</td><td>126</td></tr><tr><td>4</td><td>Rocky</td><td>122</td></tr><tr><td>5</td><td>Jack</td><td>98</td></tr><tr><td>6</td><td>Milo</td><td>83</td></tr><tr><td>7</td><td>Toby</td><td>82</td></tr><tr><td>8</td><td>Leo</td><td>69</td></tr><tr><td>9</td><td>Rex</td><td>63</td></tr><tr><td>10</td><td>Bruno</td><td>63</td></tr></tbody></table></figure>



<h5 class="wp-block-heading"> The most popular female dog names worldwide</h5>



<p class="wp-block-paragraph">Luna (Latin for moon) is the most popular female dog name globally, with Bella (Italian for beautiful) not far behind.</p>



<figure class="wp-block-image size-large"><a href="https://vividmaps.com/wp-content/uploads/2021/09/Most-Popular-Female-Dog-Names-1024x811.jpg"><img loading="lazy" decoding="async" width="1024" height="811" src="https://vividmaps.com/wp-content/uploads/2021/09/Most-Popular-Female-Dog-Names-1024x811.jpg" alt="The world map of the most popular female dog names" class="wp-image-28082" srcset="https://vividmaps.com/wp-content/uploads/2021/09/Most-Popular-Female-Dog-Names-1024x811.jpg 1024w, https://vividmaps.com/wp-content/uploads/2021/09/Most-Popular-Female-Dog-Names-300x238.jpg 300w, https://vividmaps.com/wp-content/uploads/2021/09/Most-Popular-Female-Dog-Names-768x608.jpg 768w, https://vividmaps.com/wp-content/uploads/2021/09/Most-Popular-Female-Dog-Names-1536x1216.jpg 1536w, https://vividmaps.com/wp-content/uploads/2021/09/Most-Popular-Female-Dog-Names.jpg 1600w" sizes="auto, (max-width: 1024px) 100vw, 1024px" /></a></figure>




<table id="tablepress-133" class="tablepress tablepress-id-133">
<thead>
<tr class="row-1">
	<th class="column-1">Country</th><th class="column-2">Name #1</th><th class="column-3">Name #2</th><th class="column-4">Name #3</th>
</tr>
</thead>
<tbody class="row-striping row-hover">
<tr class="row-2">
	<td class="column-1">Albania</td><td class="column-2">Lovely</td><td class="column-3">Lola</td><td class="column-4">Charli</td>
</tr>
<tr class="row-3">
	<td class="column-1">Argentina</td><td class="column-2">Lola</td><td class="column-3">Luna</td><td class="column-4">Mora</td>
</tr>
<tr class="row-4">
	<td class="column-1">Australia</td><td class="column-2">Bella</td><td class="column-3">Molly</td><td class="column-4">Coco</td>
</tr>
<tr class="row-5">
	<td class="column-1">Austria</td><td class="column-2">Luna</td><td class="column-3">Kira</td><td class="column-4">Gina</td>
</tr>
<tr class="row-6">
	<td class="column-1">Belgium</td><td class="column-2">Luna</td><td class="column-3">Mila</td><td class="column-4">Sky</td>
</tr>
<tr class="row-7">
	<td class="column-1">Brazil</td><td class="column-2">Mel</td><td class="column-3">Nina</td><td class="column-4">Luna</td>
</tr>
<tr class="row-8">
	<td class="column-1">Canada</td><td class="column-2">Bella</td><td class="column-3">Luna</td><td class="column-4">Molly</td>
</tr>
<tr class="row-9">
	<td class="column-1">Chile</td><td class="column-2">Luna</td><td class="column-3">Princesa</td><td class="column-4">Canela</td>
</tr>
<tr class="row-10">
	<td class="column-1">Colombia</td><td class="column-2">Luna</td><td class="column-3">Sasha</td><td class="column-4">Muñeca</td>
</tr>
<tr class="row-11">
	<td class="column-1">Costa Rica</td><td class="column-2">Luna</td><td class="column-3">Bella</td><td class="column-4">Nina</td>
</tr>
<tr class="row-12">
	<td class="column-1">Croatia</td><td class="column-2">Bela</td><td class="column-3">Rea</td><td class="column-4">Luna</td>
</tr>
<tr class="row-13">
	<td class="column-1">Czechia</td><td class="column-2">Meggie</td><td class="column-3">Charlie</td><td class="column-4">Bella</td>
</tr>
<tr class="row-14">
	<td class="column-1">Denmark</td><td class="column-2">Bella</td><td class="column-3">Molly</td><td class="column-4">Luna</td>
</tr>
<tr class="row-15">
	<td class="column-1">Ecuador</td><td class="column-2">Luna</td><td class="column-3">Lucky</td><td class="column-4">Nina</td>
</tr>
<tr class="row-16">
	<td class="column-1">Egypt</td><td class="column-2">Vodka</td><td class="column-3">Tequila</td><td class="column-4">Lassie</td>
</tr>
<tr class="row-17">
	<td class="column-1">Estonia</td><td class="column-2">Bella</td><td class="column-3">Donna</td><td class="column-4">Arabella</td>
</tr>
<tr class="row-18">
	<td class="column-1">Finland</td><td class="column-2">Luna</td><td class="column-3">Alma</td><td class="column-4">Helmi</td>
</tr>
<tr class="row-19">
	<td class="column-1">France</td><td class="column-2">Nala</td><td class="column-3">Maya</td><td class="column-4">Luna</td>
</tr>
<tr class="row-20">
	<td class="column-1">Georgia</td><td class="column-2">Bella</td><td class="column-3">Lucy</td><td class="column-4">Molly</td>
</tr>
<tr class="row-21">
	<td class="column-1">Germany</td><td class="column-2">Luna</td><td class="column-3">Emma</td><td class="column-4">Bella</td>
</tr>
<tr class="row-22">
	<td class="column-1">Ghana</td><td class="column-2">Pereko</td><td class="column-3">Bodua</td><td class="column-4">Todzie</td>
</tr>
<tr class="row-23">
	<td class="column-1">Greece</td><td class="column-2">Bella</td><td class="column-3">Luna</td><td class="column-4">Lucy</td>
</tr>
<tr class="row-24">
	<td class="column-1">Hungary</td><td class="column-2">Picur</td><td class="column-3">Molly</td><td class="column-4">Lilly</td>
</tr>
<tr class="row-25">
	<td class="column-1">Iceland</td><td class="column-2">Perla</td><td class="column-3">Dimma</td><td class="column-4">Freyja</td>
</tr>
<tr class="row-26">
	<td class="column-1">India</td><td class="column-2">Jasmine</td><td class="column-3">Karma</td><td class="column-4">Cinnamon</td>
</tr>
<tr class="row-27">
	<td class="column-1">Indonesia</td><td class="column-2">Molly</td><td class="column-3">Lola</td><td class="column-4">Riley</td>
</tr>
<tr class="row-28">
	<td class="column-1">Ireland (Republic)</td><td class="column-2">Lola</td><td class="column-3">Molly</td><td class="column-4">Bella</td>
</tr>
<tr class="row-29">
	<td class="column-1">Israel</td><td class="column-2">Lula</td><td class="column-3">Mika</td><td class="column-4">Luna</td>
</tr>
<tr class="row-30">
	<td class="column-1">Italy</td><td class="column-2">Mia</td><td class="column-3">Luna</td><td class="column-4">Maya</td>
</tr>
<tr class="row-31">
	<td class="column-1">Japan</td><td class="column-2">Coco</td><td class="column-3">Momo</td><td class="column-4">Hana</td>
</tr>
<tr class="row-32">
	<td class="column-1">Latvia</td><td class="column-2">Bella</td><td class="column-3">Mia</td><td class="column-4">Greta</td>
</tr>
<tr class="row-33">
	<td class="column-1">Lithuania</td><td class="column-2">Bella</td><td class="column-3">Lucy</td><td class="column-4">Daisy</td>
</tr>
<tr class="row-34">
	<td class="column-1">Mexico</td><td class="column-2">Luna</td><td class="column-3">Lola</td><td class="column-4">Maya</td>
</tr>
<tr class="row-35">
	<td class="column-1">Netherlands</td><td class="column-2">Luna</td><td class="column-3">Bella</td><td class="column-4">Pip</td>
</tr>
<tr class="row-36">
	<td class="column-1">New Zealand</td><td class="column-2">Bella</td><td class="column-3">Molly</td><td class="column-4">Poppy</td>
</tr>
<tr class="row-37">
	<td class="column-1">North Macedonia</td><td class="column-2">Molly</td><td class="column-3">Lola</td><td class="column-4">Riley</td>
</tr>
<tr class="row-38">
	<td class="column-1">Norway</td><td class="column-2">Luna</td><td class="column-3">Molly</td><td class="column-4">Bella</td>
</tr>
<tr class="row-39">
	<td class="column-1">Poland</td><td class="column-2">Figa</td><td class="column-3">Tosia</td><td class="column-4">Jaga</td>
</tr>
<tr class="row-40">
	<td class="column-1">Portugal</td><td class="column-2">Luna</td><td class="column-3">Mimi</td><td class="column-4">Lucky</td>
</tr>
<tr class="row-41">
	<td class="column-1">Romania</td><td class="column-2">Bella</td><td class="column-3">Lucy</td><td class="column-4">Daisy</td>
</tr>
<tr class="row-42">
	<td class="column-1">Russia</td><td class="column-2">Jasmine</td><td class="column-3">Olivia</td><td class="column-4">Valencia</td>
</tr>
<tr class="row-43">
	<td class="column-1">Serbia</td><td class="column-2">Luna</td><td class="column-3">Mimi</td><td class="column-4">Bella</td>
</tr>
<tr class="row-44">
	<td class="column-1">Singapore</td><td class="column-2">Coco</td><td class="column-3">Cookie</td><td class="column-4">Bella</td>
</tr>
<tr class="row-45">
	<td class="column-1">Slovakia</td><td class="column-2">Bella</td><td class="column-3">Lucy</td><td class="column-4">Daisy</td>
</tr>
<tr class="row-46">
	<td class="column-1">Slovenia</td><td class="column-2">Lina</td><td class="column-3">Piki</td><td class="column-4">Tara</td>
</tr>
<tr class="row-47">
	<td class="column-1">South Korea</td><td class="column-2">Barley</td><td class="column-3">Bean</td><td class="column-4">Byeol</td>
</tr>
<tr class="row-48">
	<td class="column-1">Spain</td><td class="column-2">Luna</td><td class="column-3">Nala</td><td class="column-4">Kira</td>
</tr>
<tr class="row-49">
	<td class="column-1">Sweden</td><td class="column-2">Molly</td><td class="column-3">Bella</td><td class="column-4">Wilma</td>
</tr>
<tr class="row-50">
	<td class="column-1">Switzerland</td><td class="column-2">Luna</td><td class="column-3">Kira</td><td class="column-4">Bella</td>
</tr>
<tr class="row-51">
	<td class="column-1">Turkey</td><td class="column-2">Maya</td><td class="column-3">Sila</td><td class="column-4">Leydi</td>
</tr>
<tr class="row-52">
	<td class="column-1">United Kingdom</td><td class="column-2">Bella</td><td class="column-3">Luna</td><td class="column-4">Poppy</td>
</tr>
<tr class="row-53">
	<td class="column-1">United States of America</td><td class="column-2">Bella</td><td class="column-3">Luna</td><td class="column-4">Lucy</td>
</tr>
<tr class="row-54">
	<td class="column-1">Venezuela</td><td class="column-2">Luna</td><td class="column-3">Bella</td><td class="column-4">Nina</td>
</tr>
</tbody>
</table>
<!-- #tablepress-133 from cache -->



<h6 class="wp-block-heading"> Top 10 most popular male dog names </h6>



<figure class="wp-block-table is-style-stripes"><table><thead><tr><th>Rank</th><th>Female dog name</th><th>Total score</th></tr></thead><tbody><tr><td>1</td><td>Luna</td><td>281</td></tr><tr><td>2</td><td>Bella</td><td>268</td></tr><tr><td>3</td><td>Lola</td><td>156</td></tr><tr><td>4</td><td>Molly</td><td>149</td></tr><tr><td>5</td><td>Lucy</td><td>91</td></tr><tr><td>6</td><td>Kira</td><td>69</td></tr><tr><td>7</td><td>Daisy</td><td>68</td></tr><tr><td>8</td><td>Mia</td><td>57</td></tr><tr><td>9</td><td>Nala</td><td>56</td></tr><tr><td>10</td><td>Nina</td><td>55</td></tr></tbody></table></figure>



<h5 class="wp-block-heading">Top dogs names overall</h5>



<figure class="wp-block-table is-style-stripes"><table><thead><tr><th>Rank</th><th>Dog name</th><th>Type</th><th>Total Score</th></tr></thead><tbody><tr><td>1</td><td>Luna</td><td>Female</td><td>281</td></tr><tr><td>2</td><td>Max</td><td>Male</td><td>280</td></tr><tr><td>3</td><td>Bella</td><td>Female</td><td>268</td></tr><tr><td>4</td><td>Lola</td><td>Female</td><td>156</td></tr><tr><td>5</td><td>Molly</td><td>Female</td><td>149</td></tr><tr><td>6</td><td>Charlie</td><td>Male</td><td>135</td></tr><tr><td>7</td><td>Buddy</td><td>Male</td><td>126</td></tr><tr><td>8</td><td>Rocky</td><td>Male</td><td>122</td></tr><tr><td>9</td><td>Jack</td><td>Male</td><td>98</td></tr><tr><td>10</td><td>Lucy</td><td>Female</td><td>91</td></tr></tbody></table></figure>
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]]></content:encoded>
					
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			</item>
		<item>
		<title>Every Country&#8217;s Preference For Cats or Dog Mapped</title>
		<link>https://vividmaps.com/cats-or-dogs/</link>
					<comments>https://vividmaps.com/cats-or-dogs/#comments</comments>
		
		<dc:creator><![CDATA[Alex]]></dc:creator>
		<pubDate>Tue, 23 Feb 2021 16:33:51 +0000</pubDate>
				<category><![CDATA[Animals]]></category>
		<category><![CDATA[cats]]></category>
		<category><![CDATA[dogs]]></category>
		<category><![CDATA[Instagram]]></category>
		<category><![CDATA[World]]></category>
		<guid isPermaLink="false">https://vividmaps.com/?p=25877</guid>

					<description><![CDATA[<p>In this new study, the Budget Direct Pet Insurance team aims to settle one of the most divisive questions of all time: Which pet do people love most - cats or dogs? This series of maps answers just that.</p>
<p>The post <a href="https://vividmaps.com/cats-or-dogs/">Every Country&#8217;s Preference For Cats or Dog Mapped</a> appeared first on <a href="https://vividmaps.com">Vivid Maps</a>.</p>
]]></description>
										<content:encoded><![CDATA[
<p class="wp-block-paragraph">Clearly, there are dog people, and there are cat people. In fact, <a href="https://www.theguardian.com/science/2017/jul/26/cats-vs-dogs-in-terms-of-evolution-are-we-barking-up-the-wrong-tree" target="_blank" rel="noreferrer noopener">research reveals</a> humans have identified as either cat or dog lovers since the stone age! This made the <a href="https://www.budgetdirect.com.au/blog/cats-vs-dogs-which-does-the-world-prefer.html" target="_blank" rel="noreferrer noopener">Budget Direct Pet Insurance</a> team wonder, do we live in a &#8216;dog people&#8217; world or a &#8216;cat people&#8217; world?</p>



<p class="wp-block-paragraph">The team decided to turn to Instagram to find out. They analyzed hashtag and geolocation data to settle the debate once and for all.</p>



<p class="wp-block-paragraph">The Budget Direct Pet Insurance team analyzed Instagram posts using the following hashtags: #ilovecats, #catloversclub, #catlovers, #ilovedogs, #dogloversclub &amp; #doglovers, and then extracting the geolocation data of each post. With this information in hand, they awarded the pet&#8217;s victory with the higher share of posts. This analysis was done both at a country, state, and city-level to crown the most dog/cat-loving cities in the world. Finally, Budget Direct Pet Insurance produced maps with the highest proportion of dog/cat lovers.</p>



<p class="wp-block-paragraph">Here&#8217;s a preview of the results in a world map:</p>



<h6 class="wp-block-heading">Cants Vs. Dogs: Which Is the Most Popular Around the World?</h6>



<figure class="wp-block-image size-large"><a href="https://vividmaps.com/wp-content/uploads/2021/02/01-cats-vs-dogs-wolrd-map.jpg"><img loading="lazy" decoding="async" width="1024" height="966" src="https://vividmaps.com/wp-content/uploads/2021/02/01-cats-vs-dogs-wolrd-map-1024x966.jpg" alt="Cants Vs. Dogs: Which Is the Most Popular Around the World?" class="wp-image-25879" srcset="https://vividmaps.com/wp-content/uploads/2021/02/01-cats-vs-dogs-wolrd-map-1024x966.jpg 1024w, https://vividmaps.com/wp-content/uploads/2021/02/01-cats-vs-dogs-wolrd-map-300x283.jpg 300w, https://vividmaps.com/wp-content/uploads/2021/02/01-cats-vs-dogs-wolrd-map-768x725.jpg 768w, https://vividmaps.com/wp-content/uploads/2021/02/01-cats-vs-dogs-wolrd-map-1536x1449.jpg 1536w, https://vividmaps.com/wp-content/uploads/2021/02/01-cats-vs-dogs-wolrd-map.jpg 2000w" sizes="auto, (max-width: 1024px) 100vw, 1024px" /></a></figure>



<h6 class="wp-block-heading">Cats Vs. Dogs: Which Is the Most Popular Around America?</h6>



<figure class="wp-block-image size-large"><a href="https://vividmaps.com/wp-content/uploads/2021/02/02-cats-vs-dogs-usa-map.jpg"><img loading="lazy" decoding="async" width="1024" height="998" src="https://vividmaps.com/wp-content/uploads/2021/02/02-cats-vs-dogs-usa-map-1024x998.jpg" alt="Cats Vs. Dogs: Which Is the Most Popular Around America?" class="wp-image-25880" srcset="https://vividmaps.com/wp-content/uploads/2021/02/02-cats-vs-dogs-usa-map-1024x998.jpg 1024w, https://vividmaps.com/wp-content/uploads/2021/02/02-cats-vs-dogs-usa-map-300x293.jpg 300w, https://vividmaps.com/wp-content/uploads/2021/02/02-cats-vs-dogs-usa-map-768x749.jpg 768w, https://vividmaps.com/wp-content/uploads/2021/02/02-cats-vs-dogs-usa-map-1536x1498.jpg 1536w, https://vividmaps.com/wp-content/uploads/2021/02/02-cats-vs-dogs-usa-map.jpg 2000w" sizes="auto, (max-width: 1024px) 100vw, 1024px" /></a></figure>



<h6 class="wp-block-heading">Cats Vs. Dogs: Which Is the Most Popular in Australia?</h6>



<figure class="wp-block-image size-large"><a href="https://vividmaps.com/wp-content/uploads/2021/02/03-cats-vs-dogs-australia-map.jpg"><img loading="lazy" decoding="async" width="1024" height="998" src="https://vividmaps.com/wp-content/uploads/2021/02/03-cats-vs-dogs-australia-map-1024x998.jpg" alt="Cats Vs. Dogs: Which Is the Most Popular in Australia?" class="wp-image-25881" srcset="https://vividmaps.com/wp-content/uploads/2021/02/03-cats-vs-dogs-australia-map-1024x998.jpg 1024w, https://vividmaps.com/wp-content/uploads/2021/02/03-cats-vs-dogs-australia-map-300x293.jpg 300w, https://vividmaps.com/wp-content/uploads/2021/02/03-cats-vs-dogs-australia-map-768x749.jpg 768w, https://vividmaps.com/wp-content/uploads/2021/02/03-cats-vs-dogs-australia-map-1536x1498.jpg 1536w, https://vividmaps.com/wp-content/uploads/2021/02/03-cats-vs-dogs-australia-map.jpg 2000w" sizes="auto, (max-width: 1024px) 100vw, 1024px" /></a></figure>




<table id="tablepress-109" class="tablepress tablepress-id-109">
<thead>
<tr class="row-1">
	<th class="column-1">Country</th><th class="column-2">Count per 30962 CAT posts</th><th class="column-3">Count per 100000 CAT posts</th><th class="column-4">Count per 41147 DOG posts</th><th class="column-5">Count per 100000 DOG posts</th><th class="column-6">Total count per 72109 pet posts</th><th class="column-7">Cat lovers share</th><th class="column-8">Dog lovers share</th><th class="column-9">Outcome</th>
</tr>
</thead>
<tbody class="row-striping row-hover">
<tr class="row-2">
	<td class="column-1">Canada</td><td class="column-2">1513</td><td class="column-3">4887</td><td class="column-4">1832</td><td class="column-5">4452</td><td class="column-6">3345</td><td class="column-7">0.523</td><td class="column-8">0.477</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-3">
	<td class="column-1">Italy</td><td class="column-2">1905</td><td class="column-3">6153</td><td class="column-4">959</td><td class="column-5">2331</td><td class="column-6">2864</td><td class="column-7">0.725</td><td class="column-8">0.275</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-4">
	<td class="column-1">Germany</td><td class="column-2">1416</td><td class="column-3">4573</td><td class="column-4">1206</td><td class="column-5">2931</td><td class="column-6">2622</td><td class="column-7">0.609</td><td class="column-8">0.391</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-5">
	<td class="column-1">Russia</td><td class="column-2">1285</td><td class="column-3">4150</td><td class="column-4">959</td><td class="column-5">2331</td><td class="column-6">2244</td><td class="column-7">0.64</td><td class="column-8">0.36</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-6">
	<td class="column-1">Netherlands</td><td class="column-2">795</td><td class="column-3">2568</td><td class="column-4">546</td><td class="column-5">1327</td><td class="column-6">1341</td><td class="column-7">0.659</td><td class="column-8">0.341</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-7">
	<td class="column-1">Turkey</td><td class="column-2">1069</td><td class="column-3">3453</td><td class="column-4">267</td><td class="column-5">649</td><td class="column-6">1336</td><td class="column-7">0.842</td><td class="column-8">0.158</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-8">
	<td class="column-1">Poland</td><td class="column-2">724</td><td class="column-3">2338</td><td class="column-4">371</td><td class="column-5">902</td><td class="column-6">1095</td><td class="column-7">0.722</td><td class="column-8">0.278</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-9">
	<td class="column-1">Indonesia</td><td class="column-2">653</td><td class="column-3">2109</td><td class="column-4">305</td><td class="column-5">741</td><td class="column-6">958</td><td class="column-7">0.74</td><td class="column-8">0.26</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-10">
	<td class="column-1">Portugal</td><td class="column-2">303</td><td class="column-3">979</td><td class="column-4">334</td><td class="column-5">812</td><td class="column-6">637</td><td class="column-7">0.547</td><td class="column-8">0.453</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-11">
	<td class="column-1">Belgium</td><td class="column-2">310</td><td class="column-3">1001</td><td class="column-4">236</td><td class="column-5">574</td><td class="column-6">546</td><td class="column-7">0.636</td><td class="column-8">0.364</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-12">
	<td class="column-1">Argentina</td><td class="column-2">237</td><td class="column-3">765</td><td class="column-4">295</td><td class="column-5">717</td><td class="column-6">532</td><td class="column-7">0.516</td><td class="column-8">0.484</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-13">
	<td class="column-1">Thailand</td><td class="column-2">353</td><td class="column-3">1140</td><td class="column-4">174</td><td class="column-5">423</td><td class="column-6">527</td><td class="column-7">0.729</td><td class="column-8">0.271</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-14">
	<td class="column-1">Ukraine</td><td class="column-2">282</td><td class="column-3">911</td><td class="column-4">222</td><td class="column-5">540</td><td class="column-6">504</td><td class="column-7">0.628</td><td class="column-8">0.372</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-15">
	<td class="column-1">Hong Kong</td><td class="column-2">286</td><td class="column-3">924</td><td class="column-4">181</td><td class="column-5">440</td><td class="column-6">467</td><td class="column-7">0.677</td><td class="column-8">0.323</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-16">
	<td class="column-1">Norway</td><td class="column-2">218</td><td class="column-3">704</td><td class="column-4">175</td><td class="column-5">425</td><td class="column-6">393</td><td class="column-7">0.623</td><td class="column-8">0.377</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-17">
	<td class="column-1">Switzerland</td><td class="column-2">225</td><td class="column-3">727</td><td class="column-4">164</td><td class="column-5">399</td><td class="column-6">389</td><td class="column-7">0.646</td><td class="column-8">0.354</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-18">
	<td class="column-1">Sweden</td><td class="column-2">229</td><td class="column-3">740</td><td class="column-4">144</td><td class="column-5">350</td><td class="column-6">373</td><td class="column-7">0.679</td><td class="column-8">0.321</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-19">
	<td class="column-1">Singapore</td><td class="column-2">221</td><td class="column-3">714</td><td class="column-4">143</td><td class="column-5">348</td><td class="column-6">364</td><td class="column-7">0.673</td><td class="column-8">0.327</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-20">
	<td class="column-1">Greece</td><td class="column-2">202</td><td class="column-3">652</td><td class="column-4">158</td><td class="column-5">384</td><td class="column-6">360</td><td class="column-7">0.629</td><td class="column-8">0.371</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-21">
	<td class="column-1">Iran</td><td class="column-2">166</td><td class="column-3">536</td><td class="column-4">182</td><td class="column-5">442</td><td class="column-6">348</td><td class="column-7">0.548</td><td class="column-8">0.452</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-22">
	<td class="column-1">United Arab Emirates</td><td class="column-2">212</td><td class="column-3">685</td><td class="column-4">119</td><td class="column-5">289</td><td class="column-6">331</td><td class="column-7">0.703</td><td class="column-8">0.297</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-23">
	<td class="column-1">South Korea</td><td class="column-2">233</td><td class="column-3">753</td><td class="column-4">92</td><td class="column-5">224</td><td class="column-6">325</td><td class="column-7">0.771</td><td class="column-8">0.229</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-24">
	<td class="column-1">Malaysia</td><td class="column-2">287</td><td class="column-3">927</td><td class="column-4">34</td><td class="column-5">83</td><td class="column-6">321</td><td class="column-7">0.918</td><td class="column-8">0.082</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-25">
	<td class="column-1">Taiwan</td><td class="column-2">232</td><td class="column-3">749</td><td class="column-4">72</td><td class="column-5">175</td><td class="column-6">304</td><td class="column-7">0.811</td><td class="column-8">0.189</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-26">
	<td class="column-1">Austria</td><td class="column-2">188</td><td class="column-3">607</td><td class="column-4">105</td><td class="column-5">255</td><td class="column-6">293</td><td class="column-7">0.704</td><td class="column-8">0.296</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-27">
	<td class="column-1">Romania</td><td class="column-2">188</td><td class="column-3">607</td><td class="column-4">87</td><td class="column-5">211</td><td class="column-6">275</td><td class="column-7">0.742</td><td class="column-8">0.258</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-28">
	<td class="column-1">Hungary</td><td class="column-2">90</td><td class="column-3">291</td><td class="column-4">75</td><td class="column-5">182</td><td class="column-6">165</td><td class="column-7">0.615</td><td class="column-8">0.385</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-29">
	<td class="column-1">Denmark</td><td class="column-2">92</td><td class="column-3">297</td><td class="column-4">71</td><td class="column-5">173</td><td class="column-6">163</td><td class="column-7">0.633</td><td class="column-8">0.367</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-30">
	<td class="column-1">Finland</td><td class="column-2">80</td><td class="column-3">258</td><td class="column-4">40</td><td class="column-5">97</td><td class="column-6">120</td><td class="column-7">0.727</td><td class="column-8">0.273</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-31">
	<td class="column-1">Bulgaria</td><td class="column-2">51</td><td class="column-3">165</td><td class="column-4">62</td><td class="column-5">151</td><td class="column-6">113</td><td class="column-7">0.522</td><td class="column-8">0.478</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-32">
	<td class="column-1">Venezuela</td><td class="column-2">49</td><td class="column-3">158</td><td class="column-4">47</td><td class="column-5">114</td><td class="column-6">96</td><td class="column-7">0.581</td><td class="column-8">0.419</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-33">
	<td class="column-1">Latvia</td><td class="column-2">49</td><td class="column-3">158</td><td class="column-4">46</td><td class="column-5">112</td><td class="column-6">95</td><td class="column-7">0.586</td><td class="column-8">0.414</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-34">
	<td class="column-1">Morocco</td><td class="column-2">64</td><td class="column-3">207</td><td class="column-4">30</td><td class="column-5">73</td><td class="column-6">94</td><td class="column-7">0.739</td><td class="column-8">0.261</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-35">
	<td class="column-1">Pakistan</td><td class="column-2">66</td><td class="column-3">213</td><td class="column-4">25</td><td class="column-5">61</td><td class="column-6">91</td><td class="column-7">0.778</td><td class="column-8">0.222</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-36">
	<td class="column-1">Lebanon</td><td class="column-2">46</td><td class="column-3">149</td><td class="column-4">40</td><td class="column-5">97</td><td class="column-6">86</td><td class="column-7">0.604</td><td class="column-8">0.396</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-37">
	<td class="column-1">China</td><td class="column-2">73</td><td class="column-3">236</td><td class="column-4">13</td><td class="column-5">32</td><td class="column-6">86</td><td class="column-7">0.882</td><td class="column-8">0.118</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-38">
	<td class="column-1">Egypt</td><td class="column-2">39</td><td class="column-3">126</td><td class="column-4">46</td><td class="column-5">112</td><td class="column-6">85</td><td class="column-7">0.53</td><td class="column-8">0.47</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-39">
	<td class="column-1">Lithuania</td><td class="column-2">44</td><td class="column-3">142</td><td class="column-4">36</td><td class="column-5">87</td><td class="column-6">80</td><td class="column-7">0.619</td><td class="column-8">0.381</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-40">
	<td class="column-1">Vietnam</td><td class="column-2">48</td><td class="column-3">155</td><td class="column-4">29</td><td class="column-5">70</td><td class="column-6">77</td><td class="column-7">0.687</td><td class="column-8">0.313</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-41">
	<td class="column-1">Cyprus</td><td class="column-2">30</td><td class="column-3">97</td><td class="column-4">32</td><td class="column-5">78</td><td class="column-6">62</td><td class="column-7">0.555</td><td class="column-8">0.445</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-42">
	<td class="column-1">Estonia</td><td class="column-2">45</td><td class="column-3">145</td><td class="column-4">15</td><td class="column-5">36</td><td class="column-6">60</td><td class="column-7">0.799</td><td class="column-8">0.201</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-43">
	<td class="column-1">Costa Rica</td><td class="column-2">25</td><td class="column-3">81</td><td class="column-4">30</td><td class="column-5">73</td><td class="column-6">55</td><td class="column-7">0.525</td><td class="column-8">0.475</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-44">
	<td class="column-1">Algeria</td><td class="column-2">31</td><td class="column-3">100</td><td class="column-4">23</td><td class="column-5">56</td><td class="column-6">54</td><td class="column-7">0.642</td><td class="column-8">0.358</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-45">
	<td class="column-1">Saudi Arabia</td><td class="column-2">37</td><td class="column-3">120</td><td class="column-4">10</td><td class="column-5">24</td><td class="column-6">47</td><td class="column-7">0.831</td><td class="column-8">0.169</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-46">
	<td class="column-1">Paraguay</td><td class="column-2">27</td><td class="column-3">87</td><td class="column-4">18</td><td class="column-5">44</td><td class="column-6">45</td><td class="column-7">0.666</td><td class="column-8">0.334</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-47">
	<td class="column-1">Georgia</td><td class="column-2">22</td><td class="column-3">71</td><td class="column-4">21</td><td class="column-5">51</td><td class="column-6">43</td><td class="column-7">0.582</td><td class="column-8">0.418</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-48">
	<td class="column-1">Azerbaijan</td><td class="column-2">36</td><td class="column-3">116</td><td class="column-4">6</td><td class="column-5">15</td><td class="column-6">42</td><td class="column-7">0.889</td><td class="column-8">0.111</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-49">
	<td class="column-1">Kazakhstan</td><td class="column-2">25</td><td class="column-3">81</td><td class="column-4">14</td><td class="column-5">34</td><td class="column-6">39</td><td class="column-7">0.704</td><td class="column-8">0.296</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-50">
	<td class="column-1">Qatar</td><td class="column-2">24</td><td class="column-3">78</td><td class="column-4">13</td><td class="column-5">32</td><td class="column-6">37</td><td class="column-7">0.71</td><td class="column-8">0.29</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-51">
	<td class="column-1">Jordan</td><td class="column-2">23</td><td class="column-3">74</td><td class="column-4">12</td><td class="column-5">29</td><td class="column-6">35</td><td class="column-7">0.718</td><td class="column-8">0.282</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-52">
	<td class="column-1">Oman</td><td class="column-2">34</td><td class="column-3">110</td><td class="column-4">1</td><td class="column-5">2</td><td class="column-6">35</td><td class="column-7">0.978</td><td class="column-8">0.022</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-53">
	<td class="column-1">Bangladesh</td><td class="column-2">24</td><td class="column-3">78</td><td class="column-4">10</td><td class="column-5">24</td><td class="column-6">34</td><td class="column-7">0.761</td><td class="column-8">0.239</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-54">
	<td class="column-1">Moldova</td><td class="column-2">16</td><td class="column-3">52</td><td class="column-4">16</td><td class="column-5">39</td><td class="column-6">32</td><td class="column-7">0.571</td><td class="column-8">0.429</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-55">
	<td class="column-1">Kuwait</td><td class="column-2">20</td><td class="column-3">65</td><td class="column-4">9</td><td class="column-5">22</td><td class="column-6">29</td><td class="column-7">0.747</td><td class="column-8">0.253</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-56">
	<td class="column-1">Bahrain</td><td class="column-2">16</td><td class="column-3">52</td><td class="column-4">11</td><td class="column-5">27</td><td class="column-6">27</td><td class="column-7">0.659</td><td class="column-8">0.341</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-57">
	<td class="column-1">Tunisia</td><td class="column-2">11</td><td class="column-3">36</td><td class="column-4">13</td><td class="column-5">32</td><td class="column-6">24</td><td class="column-7">0.529</td><td class="column-8">0.471</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-58">
	<td class="column-1">North Macedonia</td><td class="column-2">11</td><td class="column-3">36</td><td class="column-4">11</td><td class="column-5">27</td><td class="column-6">22</td><td class="column-7">0.571</td><td class="column-8">0.429</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-59">
	<td class="column-1">Bosnia and Herzegovin</td><td class="column-2">11</td><td class="column-3">36</td><td class="column-4">11</td><td class="column-5">27</td><td class="column-6">22</td><td class="column-7">0.571</td><td class="column-8">0.429</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-60">
	<td class="column-1">Cambodia</td><td class="column-2">9</td><td class="column-3">29</td><td class="column-4">11</td><td class="column-5">27</td><td class="column-6">20</td><td class="column-7">0.521</td><td class="column-8">0.479</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-61">
	<td class="column-1">Iceland</td><td class="column-2">16</td><td class="column-3">52</td><td class="column-4">2</td><td class="column-5">5</td><td class="column-6">18</td><td class="column-7">0.914</td><td class="column-8">0.086</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-62">
	<td class="column-1">Nepal</td><td class="column-2">8</td><td class="column-3">26</td><td class="column-4">7</td><td class="column-5">17</td><td class="column-6">15</td><td class="column-7">0.603</td><td class="column-8">0.397</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-63">
	<td class="column-1">Uzbekistan</td><td class="column-2">12</td><td class="column-3">39</td><td class="column-4">2</td><td class="column-5">5</td><td class="column-6">14</td><td class="column-7">0.889</td><td class="column-8">0.111</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-64">
	<td class="column-1">Iraq</td><td class="column-2">12</td><td class="column-3">39</td><td class="column-4">1</td><td class="column-5">2</td><td class="column-6">13</td><td class="column-7">0.941</td><td class="column-8">0.059</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-65">
	<td class="column-1">Guam</td><td class="column-2">8</td><td class="column-3">26</td><td class="column-4">3</td><td class="column-5">7</td><td class="column-6">11</td><td class="column-7">0.78</td><td class="column-8">0.22</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-66">
	<td class="column-1">Mongolia</td><td class="column-2">10</td><td class="column-3">32</td><td class="column-4">1</td><td class="column-5">2</td><td class="column-6">11</td><td class="column-7">0.93</td><td class="column-8">0.07</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-67">
	<td class="column-1">Tanzania</td><td class="column-2">4</td><td class="column-3">13</td><td class="column-4">3</td><td class="column-5">7</td><td class="column-6">7</td><td class="column-7">0.639</td><td class="column-8">0.361</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-68">
	<td class="column-1">Curasao</td><td class="column-2">6</td><td class="column-3">19</td><td class="column-4">1</td><td class="column-5">2</td><td class="column-6">7</td><td class="column-7">0.889</td><td class="column-8">0.111</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-69">
	<td class="column-1">Zimbabwe</td><td class="column-2">4</td><td class="column-3">13</td><td class="column-4">2</td><td class="column-5">5</td><td class="column-6">6</td><td class="column-7">0.727</td><td class="column-8">0.273</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-70">
	<td class="column-1">Guernsey</td><td class="column-2">4</td><td class="column-3">13</td><td class="column-4">2</td><td class="column-5">5</td><td class="column-6">6</td><td class="column-7">0.727</td><td class="column-8">0.273</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-71">
	<td class="column-1">Cuba</td><td class="column-2">5</td><td class="column-3">16</td><td class="column-4">1</td><td class="column-5">2</td><td class="column-6">6</td><td class="column-7">0.869</td><td class="column-8">0.131</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-72">
	<td class="column-1">Martinique</td><td class="column-2">3</td><td class="column-3">10</td><td class="column-4">2</td><td class="column-5">5</td><td class="column-6">5</td><td class="column-7">0.666</td><td class="column-8">0.334</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-73">
	<td class="column-1">Brunei</td><td class="column-2">5</td><td class="column-3">16</td><td class="column-4">0</td><td class="column-5">0</td><td class="column-6">5</td><td class="column-7">1</td><td class="column-8">0</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-74">
	<td class="column-1">Kyrgyzstan</td><td class="column-2">3</td><td class="column-3">10</td><td class="column-4">1</td><td class="column-5">2</td><td class="column-6">4</td><td class="column-7">0.799</td><td class="column-8">0.201</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-75">
	<td class="column-1">Palestine</td><td class="column-2">3</td><td class="column-3">10</td><td class="column-4">1</td><td class="column-5">2</td><td class="column-6">4</td><td class="column-7">0.799</td><td class="column-8">0.201</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-76">
	<td class="column-1">Syria</td><td class="column-2">2</td><td class="column-3">6</td><td class="column-4">1</td><td class="column-5">2</td><td class="column-6">3</td><td class="column-7">0.727</td><td class="column-8">0.273</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-77">
	<td class="column-1">Zambia</td><td class="column-2">2</td><td class="column-3">6</td><td class="column-4">1</td><td class="column-5">2</td><td class="column-6">3</td><td class="column-7">0.727</td><td class="column-8">0.273</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-78">
	<td class="column-1">Botswana</td><td class="column-2">3</td><td class="column-3">10</td><td class="column-4">0</td><td class="column-5">0</td><td class="column-6">3</td><td class="column-7">1</td><td class="column-8">0</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-79">
	<td class="column-1">Fiji</td><td class="column-2">1</td><td class="column-3">3</td><td class="column-4">1</td><td class="column-5">2</td><td class="column-6">2</td><td class="column-7">0.571</td><td class="column-8">0.429</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-80">
	<td class="column-1">Haiti</td><td class="column-2">1</td><td class="column-3">3</td><td class="column-4">1</td><td class="column-5">2</td><td class="column-6">2</td><td class="column-7">0.571</td><td class="column-8">0.429</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-81">
	<td class="column-1">Mozambique</td><td class="column-2">1</td><td class="column-3">3</td><td class="column-4">1</td><td class="column-5">2</td><td class="column-6">2</td><td class="column-7">0.571</td><td class="column-8">0.429</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-82">
	<td class="column-1">Uganda</td><td class="column-2">1</td><td class="column-3">3</td><td class="column-4">1</td><td class="column-5">2</td><td class="column-6">2</td><td class="column-7">0.571</td><td class="column-8">0.429</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-83">
	<td class="column-1">Angola</td><td class="column-2">1</td><td class="column-3">3</td><td class="column-4">1</td><td class="column-5">2</td><td class="column-6">2</td><td class="column-7">0.571</td><td class="column-8">0.429</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-84">
	<td class="column-1">New Caledonia</td><td class="column-2">2</td><td class="column-3">6</td><td class="column-4">0</td><td class="column-5">0</td><td class="column-6">2</td><td class="column-7">1</td><td class="column-8">0</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-85">
	<td class="column-1">Yemen</td><td class="column-2">2</td><td class="column-3">6</td><td class="column-4">0</td><td class="column-5">0</td><td class="column-6">2</td><td class="column-7">1</td><td class="column-8">0</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-86">
	<td class="column-1">San Marino</td><td class="column-2">2</td><td class="column-3">6</td><td class="column-4">0</td><td class="column-5">0</td><td class="column-6">2</td><td class="column-7">1</td><td class="column-8">0</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-87">
	<td class="column-1">French Guiana</td><td class="column-2">2</td><td class="column-3">6</td><td class="column-4">0</td><td class="column-5">0</td><td class="column-6">2</td><td class="column-7">1</td><td class="column-8">0</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-88">
	<td class="column-1">Turkmenistan</td><td class="column-2">1</td><td class="column-3">3</td><td class="column-4">0</td><td class="column-5">0</td><td class="column-6">1</td><td class="column-7">1</td><td class="column-8">0</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-89">
	<td class="column-1">French Polynesia</td><td class="column-2">1</td><td class="column-3">3</td><td class="column-4">0</td><td class="column-5">0</td><td class="column-6">1</td><td class="column-7">1</td><td class="column-8">0</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-90">
	<td class="column-1">Maldives</td><td class="column-2">1</td><td class="column-3">3</td><td class="column-4">0</td><td class="column-5">0</td><td class="column-6">1</td><td class="column-7">1</td><td class="column-8">0</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-91">
	<td class="column-1">Myanmar (Burma)</td><td class="column-2">1</td><td class="column-3">3</td><td class="column-4">0</td><td class="column-5">0</td><td class="column-6">1</td><td class="column-7">1</td><td class="column-8">0</td><td class="column-9">Cats win</td>
</tr>
<tr class="row-92">
	<td class="column-1">United States</td><td class="column-2">6083</td><td class="column-3">19647</td><td class="column-4">10407</td><td class="column-5">25292</td><td class="column-6">16490</td><td class="column-7">0.437</td><td class="column-8">0.563</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-93">
	<td class="column-1">Brazil</td><td class="column-2">2403</td><td class="column-3">7761</td><td class="column-4">5879</td><td class="column-5">14288</td><td class="column-6">8282</td><td class="column-7">0.352</td><td class="column-8">0.648</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-94">
	<td class="column-1">United Kingdom</td><td class="column-2">2123</td><td class="column-3">6857</td><td class="column-4">4451</td><td class="column-5">10817</td><td class="column-6">6574</td><td class="column-7">0.388</td><td class="column-8">0.612</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-95">
	<td class="column-1">France</td><td class="column-2">1027</td><td class="column-3">3317</td><td class="column-4">1939</td><td class="column-5">4712</td><td class="column-6">2966</td><td class="column-7">0.413</td><td class="column-8">0.587</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-96">
	<td class="column-1">India</td><td class="column-2">738</td><td class="column-3">2384</td><td class="column-4">1533</td><td class="column-5">3726</td><td class="column-6">2271</td><td class="column-7">0.39</td><td class="column-8">0.61</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-97">
	<td class="column-1">Australia</td><td class="column-2">751</td><td class="column-3">2426</td><td class="column-4">1476</td><td class="column-5">3587</td><td class="column-6">2227</td><td class="column-7">0.403</td><td class="column-8">0.597</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-98">
	<td class="column-1">Spain</td><td class="column-2">595</td><td class="column-3">1922</td><td class="column-4">857</td><td class="column-5">2083</td><td class="column-6">1452</td><td class="column-7">0.48</td><td class="column-8">0.52</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-99">
	<td class="column-1">Japan</td><td class="column-2">203</td><td class="column-3">656</td><td class="column-4">747</td><td class="column-5">1815</td><td class="column-6">950</td><td class="column-7">0.265</td><td class="column-8">0.735</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-100">
	<td class="column-1">Mexico</td><td class="column-2">206</td><td class="column-3">665</td><td class="column-4">446</td><td class="column-5">1084</td><td class="column-6">652</td><td class="column-7">0.38</td><td class="column-8">0.62</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-101">
	<td class="column-1">Peru</td><td class="column-2">108</td><td class="column-3">349</td><td class="column-4">289</td><td class="column-5">702</td><td class="column-6">397</td><td class="column-7">0.332</td><td class="column-8">0.668</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-102">
	<td class="column-1">Philippines</td><td class="column-2">88</td><td class="column-3">284</td><td class="column-4">148</td><td class="column-5">360</td><td class="column-6">236</td><td class="column-7">0.441</td><td class="column-8">0.559</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-103">
	<td class="column-1">Serbia</td><td class="column-2">42</td><td class="column-3">136</td><td class="column-4">191</td><td class="column-5">464</td><td class="column-6">233</td><td class="column-7">0.226</td><td class="column-8">0.774</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-104">
	<td class="column-1">South Africa</td><td class="column-2">75</td><td class="column-3">242</td><td class="column-4">148</td><td class="column-5">360</td><td class="column-6">223</td><td class="column-7">0.402</td><td class="column-8">0.598</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-105">
	<td class="column-1">New Zealand</td><td class="column-2">77</td><td class="column-3">249</td><td class="column-4">137</td><td class="column-5">333</td><td class="column-6">214</td><td class="column-7">0.428</td><td class="column-8">0.572</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-106">
	<td class="column-1">Ireland</td><td class="column-2">71</td><td class="column-3">229</td><td class="column-4">139</td><td class="column-5">338</td><td class="column-6">210</td><td class="column-7">0.404</td><td class="column-8">0.596</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-107">
	<td class="column-1">Croatia</td><td class="column-2">52</td><td class="column-3">168</td><td class="column-4">100</td><td class="column-5">243</td><td class="column-6">152</td><td class="column-7">0.409</td><td class="column-8">0.591</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-108">
	<td class="column-1">Israel</td><td class="column-2">44</td><td class="column-3">142</td><td class="column-4">100</td><td class="column-5">243</td><td class="column-6">144</td><td class="column-7">0.369</td><td class="column-8">0.631</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-109">
	<td class="column-1">Belarus</td><td class="column-2">54</td><td class="column-3">174</td><td class="column-4">79</td><td class="column-5">192</td><td class="column-6">133</td><td class="column-7">0.476</td><td class="column-8">0.524</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-110">
	<td class="column-1">Ecuador</td><td class="column-2">46</td><td class="column-3">149</td><td class="column-4">75</td><td class="column-5">182</td><td class="column-6">121</td><td class="column-7">0.449</td><td class="column-8">0.551</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-111">
	<td class="column-1">Slovakia</td><td class="column-2">28</td><td class="column-3">90</td><td class="column-4">58</td><td class="column-5">141</td><td class="column-6">86</td><td class="column-7">0.391</td><td class="column-8">0.609</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-112">
	<td class="column-1">Puerto Rico</td><td class="column-2">6</td><td class="column-3">19</td><td class="column-4">67</td><td class="column-5">163</td><td class="column-6">73</td><td class="column-7">0.106</td><td class="column-8">0.894</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-113">
	<td class="column-1">Slovenia</td><td class="column-2">17</td><td class="column-3">55</td><td class="column-4">51</td><td class="column-5">124</td><td class="column-6">68</td><td class="column-7">0.307</td><td class="column-8">0.693</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-114">
	<td class="column-1">Panama</td><td class="column-2">14</td><td class="column-3">45</td><td class="column-4">39</td><td class="column-5">95</td><td class="column-6">53</td><td class="column-7">0.323</td><td class="column-8">0.677</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-115">
	<td class="column-1">Sri Lanka</td><td class="column-2">14</td><td class="column-3">45</td><td class="column-4">29</td><td class="column-5">70</td><td class="column-6">43</td><td class="column-7">0.391</td><td class="column-8">0.609</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-116">
	<td class="column-1">Nigeria</td><td class="column-2">10</td><td class="column-3">32</td><td class="column-4">29</td><td class="column-5">70</td><td class="column-6">39</td><td class="column-7">0.314</td><td class="column-8">0.686</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-117">
	<td class="column-1">Uruguay</td><td class="column-2">13</td><td class="column-3">42</td><td class="column-4">24</td><td class="column-5">58</td><td class="column-6">37</td><td class="column-7">0.419</td><td class="column-8">0.581</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-118">
	<td class="column-1">Kenya</td><td class="column-2">11</td><td class="column-3">36</td><td class="column-4">23</td><td class="column-5">56</td><td class="column-6">34</td><td class="column-7">0.389</td><td class="column-8">0.611</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-119">
	<td class="column-1">Malta</td><td class="column-2">11</td><td class="column-3">36</td><td class="column-4">19</td><td class="column-5">46</td><td class="column-6">30</td><td class="column-7">0.435</td><td class="column-8">0.565</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-120">
	<td class="column-1">Guatemala</td><td class="column-2">7</td><td class="column-3">23</td><td class="column-4">19</td><td class="column-5">46</td><td class="column-6">26</td><td class="column-7">0.329</td><td class="column-8">0.671</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-121">
	<td class="column-1">Dominican Republic</td><td class="column-2">6</td><td class="column-3">19</td><td class="column-4">19</td><td class="column-5">46</td><td class="column-6">25</td><td class="column-7">0.296</td><td class="column-8">0.704</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-122">
	<td class="column-1">Luxembourg</td><td class="column-2">5</td><td class="column-3">16</td><td class="column-4">16</td><td class="column-5">39</td><td class="column-6">21</td><td class="column-7">0.293</td><td class="column-8">0.707</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-123">
	<td class="column-1">Honduras</td><td class="column-2">5</td><td class="column-3">16</td><td class="column-4">16</td><td class="column-5">39</td><td class="column-6">21</td><td class="column-7">0.293</td><td class="column-8">0.707</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-124">
	<td class="column-1">Albania</td><td class="column-2">6</td><td class="column-3">19</td><td class="column-4">13</td><td class="column-5">32</td><td class="column-6">19</td><td class="column-7">0.38</td><td class="column-8">0.62</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-125">
	<td class="column-1">Montenegro</td><td class="column-2">6</td><td class="column-3">19</td><td class="column-4">12</td><td class="column-5">29</td><td class="column-6">18</td><td class="column-7">0.399</td><td class="column-8">0.601</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-126">
	<td class="column-1">Ghana</td><td class="column-2">0</td><td class="column-3">0</td><td class="column-4">15</td><td class="column-5">36</td><td class="column-6">15</td><td class="column-7">0</td><td class="column-8">1</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-127">
	<td class="column-1">Trinidad and Tobago</td><td class="column-2">1</td><td class="column-3">3</td><td class="column-4">12</td><td class="column-5">29</td><td class="column-6">13</td><td class="column-7">0.1</td><td class="column-8">0.9</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-128">
	<td class="column-1">Reunion</td><td class="column-2">3</td><td class="column-3">10</td><td class="column-4">9</td><td class="column-5">22</td><td class="column-6">12</td><td class="column-7">0.307</td><td class="column-8">0.693</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-129">
	<td class="column-1">Jersey</td><td class="column-2">4</td><td class="column-3">13</td><td class="column-4">8</td><td class="column-5">19</td><td class="column-6">12</td><td class="column-7">0.399</td><td class="column-8">0.601</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-130">
	<td class="column-1">Monaco</td><td class="column-2">2</td><td class="column-3">6</td><td class="column-4">9</td><td class="column-5">22</td><td class="column-6">11</td><td class="column-7">0.228</td><td class="column-8">0.772</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-131">
	<td class="column-1">Macao</td><td class="column-2">4</td><td class="column-3">13</td><td class="column-4">6</td><td class="column-5">15</td><td class="column-6">10</td><td class="column-7">0.47</td><td class="column-8">0.53</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-132">
	<td class="column-1">Andorra</td><td class="column-2">1</td><td class="column-3">3</td><td class="column-4">8</td><td class="column-5">19</td><td class="column-6">9</td><td class="column-7">0.142</td><td class="column-8">0.858</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-133">
	<td class="column-1">El Salvador</td><td class="column-2">1</td><td class="column-3">3</td><td class="column-4">8</td><td class="column-5">19</td><td class="column-6">9</td><td class="column-7">0.142</td><td class="column-8">0.858</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-134">
	<td class="column-1">Jamaica</td><td class="column-2">1</td><td class="column-3">3</td><td class="column-4">7</td><td class="column-5">17</td><td class="column-6">8</td><td class="column-7">0.16</td><td class="column-8">0.84</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-135">
	<td class="column-1">Nicaragua</td><td class="column-2">0</td><td class="column-3">0</td><td class="column-4">7</td><td class="column-5">17</td><td class="column-6">7</td><td class="column-7">0</td><td class="column-8">1</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-136">
	<td class="column-1">Grenada</td><td class="column-2">0</td><td class="column-3">0</td><td class="column-4">7</td><td class="column-5">17</td><td class="column-6">7</td><td class="column-7">0</td><td class="column-8">1</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-137">
	<td class="column-1">Bolivia</td><td class="column-2">1</td><td class="column-3">3</td><td class="column-4">6</td><td class="column-5">15</td><td class="column-6">7</td><td class="column-7">0.181</td><td class="column-8">0.819</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-138">
	<td class="column-1">Mauritius</td><td class="column-2">0</td><td class="column-3">0</td><td class="column-4">5</td><td class="column-5">12</td><td class="column-6">5</td><td class="column-7">0</td><td class="column-8">1</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-139">
	<td class="column-1">Suriname</td><td class="column-2">1</td><td class="column-3">3</td><td class="column-4">4</td><td class="column-5">10</td><td class="column-6">5</td><td class="column-7">0.249</td><td class="column-8">0.751</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-140">
	<td class="column-1">Kosovo</td><td class="column-2">0</td><td class="column-3">0</td><td class="column-4">4</td><td class="column-5">10</td><td class="column-6">4</td><td class="column-7">0</td><td class="column-8">1</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-141">
	<td class="column-1">Saint Martin</td><td class="column-2">0</td><td class="column-3">0</td><td class="column-4">4</td><td class="column-5">10</td><td class="column-6">4</td><td class="column-7">0</td><td class="column-8">1</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-142">
	<td class="column-1">Aruba</td><td class="column-2">0</td><td class="column-3">0</td><td class="column-4">4</td><td class="column-5">10</td><td class="column-6">4</td><td class="column-7">0</td><td class="column-8">1</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-143">
	<td class="column-1">Democratic Republic o</td><td class="column-2">0</td><td class="column-3">0</td><td class="column-4">4</td><td class="column-5">10</td><td class="column-6">4</td><td class="column-7">0</td><td class="column-8">1</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-144">
	<td class="column-1">Malawi</td><td class="column-2">0</td><td class="column-3">0</td><td class="column-4">4</td><td class="column-5">10</td><td class="column-6">4</td><td class="column-7">0</td><td class="column-8">1</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-145">
	<td class="column-1">Bhutan</td><td class="column-2">1</td><td class="column-3">3</td><td class="column-4">3</td><td class="column-5">7</td><td class="column-6">4</td><td class="column-7">0.307</td><td class="column-8">0.693</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-146">
	<td class="column-1">Armenia</td><td class="column-2">1</td><td class="column-3">3</td><td class="column-4">3</td><td class="column-5">7</td><td class="column-6">4</td><td class="column-7">0.307</td><td class="column-8">0.693</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-147">
	<td class="column-1">Cook Islands</td><td class="column-2">0</td><td class="column-3">0</td><td class="column-4">3</td><td class="column-5">7</td><td class="column-6">3</td><td class="column-7">0</td><td class="column-8">1</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-148">
	<td class="column-1">Belize</td><td class="column-2">0</td><td class="column-3">0</td><td class="column-4">3</td><td class="column-5">7</td><td class="column-6">3</td><td class="column-7">0</td><td class="column-8">1</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-149">
	<td class="column-1">Greenland</td><td class="column-2">0</td><td class="column-3">0</td><td class="column-4">2</td><td class="column-5">5</td><td class="column-6">2</td><td class="column-7">0</td><td class="column-8">1</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-150">
	<td class="column-1">Sint Maarten</td><td class="column-2">0</td><td class="column-3">0</td><td class="column-4">2</td><td class="column-5">5</td><td class="column-6">2</td><td class="column-7">0</td><td class="column-8">1</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-151">
	<td class="column-1">Bermuda</td><td class="column-2">0</td><td class="column-3">0</td><td class="column-4">2</td><td class="column-5">5</td><td class="column-6">2</td><td class="column-7">0</td><td class="column-8">1</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-152">
	<td class="column-1">Ethiopia</td><td class="column-2">0</td><td class="column-3">0</td><td class="column-4">2</td><td class="column-5">5</td><td class="column-6">2</td><td class="column-7">0</td><td class="column-8">1</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-153">
	<td class="column-1">Isle of Man</td><td class="column-2">0</td><td class="column-3">0</td><td class="column-4">2</td><td class="column-5">5</td><td class="column-6">2</td><td class="column-7">0</td><td class="column-8">1</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-154">
	<td class="column-1">Cameroon</td><td class="column-2">0</td><td class="column-3">0</td><td class="column-4">2</td><td class="column-5">5</td><td class="column-6">2</td><td class="column-7">0</td><td class="column-8">1</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-155">
	<td class="column-1">Barbados</td><td class="column-2">0</td><td class="column-3">0</td><td class="column-4">2</td><td class="column-5">5</td><td class="column-6">2</td><td class="column-7">0</td><td class="column-8">1</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-156">
	<td class="column-1">Gabon</td><td class="column-2">0</td><td class="column-3">0</td><td class="column-4">1</td><td class="column-5">2</td><td class="column-6">1</td><td class="column-7">0</td><td class="column-8">1</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-157">
	<td class="column-1">The Bahamas</td><td class="column-2">0</td><td class="column-3">0</td><td class="column-4">1</td><td class="column-5">2</td><td class="column-6">1</td><td class="column-7">0</td><td class="column-8">1</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-158">
	<td class="column-1">Cape Verde</td><td class="column-2">0</td><td class="column-3">0</td><td class="column-4">1</td><td class="column-5">2</td><td class="column-6">1</td><td class="column-7">0</td><td class="column-8">1</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-159">
	<td class="column-1">Seychelles</td><td class="column-2">0</td><td class="column-3">0</td><td class="column-4">1</td><td class="column-5">2</td><td class="column-6">1</td><td class="column-7">0</td><td class="column-8">1</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-160">
	<td class="column-1">The Gambia</td><td class="column-2">0</td><td class="column-3">0</td><td class="column-4">1</td><td class="column-5">2</td><td class="column-6">1</td><td class="column-7">0</td><td class="column-8">1</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-161">
	<td class="column-1">U.S. Virgin Islands</td><td class="column-2">0</td><td class="column-3">0</td><td class="column-4">1</td><td class="column-5">2</td><td class="column-6">1</td><td class="column-7">0</td><td class="column-8">1</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-162">
	<td class="column-1">Gibraltar</td><td class="column-2">0</td><td class="column-3">0</td><td class="column-4">1</td><td class="column-5">2</td><td class="column-6">1</td><td class="column-7">0</td><td class="column-8">1</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-163">
	<td class="column-1">British Virgin Islands</td><td class="column-2">0</td><td class="column-3">0</td><td class="column-4">1</td><td class="column-5">2</td><td class="column-6">1</td><td class="column-7">0</td><td class="column-8">1</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-164">
	<td class="column-1">Namibia</td><td class="column-2">0</td><td class="column-3">0</td><td class="column-4">1</td><td class="column-5">2</td><td class="column-6">1</td><td class="column-7">0</td><td class="column-8">1</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-165">
	<td class="column-1">Somalia</td><td class="column-2">0</td><td class="column-3">0</td><td class="column-4">1</td><td class="column-5">2</td><td class="column-6">1</td><td class="column-7">0</td><td class="column-8">1</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-166">
	<td class="column-1">Cote d'Ivoire</td><td class="column-2">0</td><td class="column-3">0</td><td class="column-4">1</td><td class="column-5">2</td><td class="column-6">1</td><td class="column-7">0</td><td class="column-8">1</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-167">
	<td class="column-1">Mayotte</td><td class="column-2">0</td><td class="column-3">0</td><td class="column-4">1</td><td class="column-5">2</td><td class="column-6">1</td><td class="column-7">0</td><td class="column-8">100.0% H170</td><td class="column-9">Dogs win</td>
</tr>
<tr class="row-168">
	<td class="column-1">Chile</td><td class="column-2">498</td><td class="column-3">1608</td><td class="column-4">661</td><td class="column-5">1606</td><td class="column-6">1159</td><td class="column-7">0.5</td><td class="column-8">0.5</td><td class="column-9">Draw</td>
</tr>
<tr class="row-169">
	<td class="column-1">Colombia</td><td class="column-2">275</td><td class="column-3">888</td><td class="column-4">370</td><td class="column-5">899</td><td class="column-6">645</td><td class="column-7">0.497</td><td class="column-8">0.503</td><td class="column-9">Draw</td>
</tr>
<tr class="row-170">
	<td class="column-1">Czechia</td><td class="column-2">94</td><td class="column-3">304</td><td class="column-4">127</td><td class="column-5">309</td><td class="column-6">221</td><td class="column-7">0.496</td><td class="column-8">0.504</td><td class="column-9">Draw</td>
</tr>
</tbody>
</table>




<p class="wp-block-paragraph"><strong>Key Findings:</strong><br>● Cats are more popular than dogs in 91 countries and dogs more prevalent in 76 countries.<br>● The United States, Australia, and the UK are all dog-people countries.<br>● New York City has the highest number of cat- or dog-tagged photos globally, and 59.6% were about cats rather than dogs.</p>
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