Visualized: The Most Googled Countries, Worldwide
View a higher resolution version of this network diagram.
Analyzing societal trends can teach us a lot about a population’s cultural fabric.
And since Google makes up more than 90% of internet searches outside of the Great Firewall, studying its usage is one of the best resources for modern social research.
This series of visualizations by Anders Sundell uses Google Trends search data to show the most googled countries around the world, from 2004 to 2022. These graphics provide thought-provoking insight into different cultural similarities and geopolitical dynamics.
A Quick Note on Methodology
The visualization above shows the most googled country in each nation around the world over the last couple of decades.
For example, the arrow pointing from Canada to the United States means that, between 2004 and 2022, people in Canada had more searches about the U.S. than any other country globally.
And since this study only looked at interest in other countries, queries of countries searching for themselves were not included in the data.
Finally, each country’s circle is scaled relative to its search interest, meaning the bigger the circle, the more countries pointing to it (and searching for it).
The Top Googled Countries Overall
Perhaps unsurprisingly, the U.S. is the most googled country on the list, ranking first place in 45 of the 190 countries included in the dataset.
|Country||Top Googled Country|
|🇦🇩 Andorra||🇪🇸 Spain|
|🇦🇪 The United Arab Emirates||🇮🇳 India|
|🇦🇫 Afghanistan||🇮🇷 Iran|
|🇦🇬 Antigua and Barbuda||🇺🇸 The United States|
|🇦🇱 Albania||🇮🇹 Italy|
|🇦🇲 Armenia||🇷🇺 Russia|
|🇦🇴 Angola||🇧🇷 Brazil|
|🇦🇷 Argentina||🇪🇸 Spain|
|🇦🇹 Austria||🇩🇪 Germany|
|🇦🇺 Australia||🇺🇸 The United States|
|🇦🇿 Azerbaijan||🇹🇷 Turkey|
|🏴 Bosnia and Herzegovina||🇷🇴 Romania|
|🇧🇧 Barbados||🇬🇧 United Kingdom|
|🇧🇩 Bangladesh||🇮🇳 India|
|🇧🇪 Belgium||🇫🇷 France|
|🇧🇫 Burkina Faso||🇫🇷 France|
|🇧🇬 Bulgaria||🇷🇺 Russia|
|🇧🇭 Bahrain||🇮🇳 India|
|🇧🇮 Burundi||🇫🇷 France|
|🇧🇯 Benin||🇫🇷 France|
|🇧🇳 Brunei||🇲🇾 Malaysia|
|🇧🇴 Bolivia||🇦🇷 Argentina|
|🇧🇷 Brazil||🇺🇸 The United States|
|🇧🇸 The Bahamas||🇺🇸 The United States|
|🇧🇹 Bhutan||🇮🇳 India|
|🇧🇼 Botswana||🇿🇦 South Africa|
|🇧🇾 Belarus||🇷🇺 Russia|
|🇧🇿 Belize||🇺🇸 The United States|
|🇨🇦 Canada||🇺🇸 The United States|
|🇨🇩 The Democratic Republic of Congo||🇫🇷 France|
|🇨🇫 The Central African Republic||🇫🇷 France|
|🇨🇬 The Congo||🇨🇩 The Democratic Republic of Congo|
|🇨🇭 Switzerland||🇩🇪 Germany|
|🇨🇮 Côte d'Ivoire||🇫🇷 France|
|🇨🇱 Chile||🇦🇷 Argentina|
|🇨🇲 Cameroon||🇫🇷 France|
|🇨🇳 China||🇺🇸 The United States|
|🇨🇴 Colombia||🇺🇸 The United States|
|🇨🇷 Costa Rica||🇺🇸 The United States|
|🇨🇺 Cuba||🇪🇸 Spain|
|🇨🇻 Cabo Verde||🇺🇸 The United States|
|🇨🇾 Cyprus||🇬🇧 United Kingdom|
|🇨🇿 Czechia||🇩🇪 Germany|
|🇩🇪 Germany||🇺🇸 The United States|
|🇩🇯 Djibouti||🇫🇷 France|
|🇩🇰 Denmark||🇩🇪 Germany|
|🇩🇲 Dominica||🇺🇸 The United States|
|🇩🇴 The Dominican Republic||🇺🇸 The United States|
|🇩🇿 Algeria||🇫🇷 France|
|🇪🇨 Ecuador||🇺🇸 The United States|
|🇪🇪 Estonia||🇷🇺 Russia|
|🇪🇬 Egypt||🇸🇦 Saudi Arabia|
|🇪🇷 Eritrea||🇪🇹 Ethiopia|
|🇪🇸 Spain||🇺🇸 The United States|
|🇪🇹 Ethiopia||🇺🇸 The United States|
|🇫🇮 Finland||🇸🇪 Sweden|
|🇫🇯 Fiji||🇦🇺 Australia|
|🇫🇲 Micronesia||🇺🇸 The United States|
|🇫🇷 France||🇺🇸 The United States|
|🇬🇦 Gabon||🇫🇷 France|
|🇬🇧 United Kingdom||🇺🇸 The United States|
|🇬🇩 Grenada||🇺🇸 The United States|
|🇬🇪 Georgia||🇷🇺 Russia|
|🇬🇭 Ghana||🇺🇸 The United States|
|🇬🇲 Gambia||🇬🇧 United Kingdom|
|🇬🇳 Guinea||🇫🇷 France|
|🇬🇶 Equatorial Guinea||🇪🇸 Spain|
|🇬🇷 Greece||🇬🇧 United Kingdom|
|🇬🇹 Guatemala||🇸🇻 El Salvador|
|🇬🇼 Guinea-Bissau||🇵🇹 Portugal|
|🇬🇾 Guyana||🇮🇳 India|
|🇭🇳 Honduras||🇺🇸 The United States|
|🇭🇷 Croatia||🇩🇪 Germany|
|🇭🇹 Haiti||🇺🇸 The United States|
|🇭🇺 Hungary||🇺🇸 The United States|
|🇮🇩 Indonesia||🇯🇵 Japan|
|🇮🇪 Ireland||🇬🇧 United Kingdom|
|🇮🇱 Israel||🇺🇸 The United States|
|🇮🇳 India||🇺🇸 The United States|
|🇮🇶 Iraq||🇹🇷 Turkey|
|🇮🇷 Iran||🇹🇷 Turkey|
|🇮🇸 Iceland||🇬🇧 United Kingdom|
|🇮🇹 Italy||🇺🇸 The United States|
|🇯🇲 Jamaica||🇺🇸 The United States|
|🇯🇴 Jordan||🇪🇬 Egypt|
|🇯🇵 Japan||🇺🇸 The United States|
|🇰🇪 Kenya||🇺🇸 The United States|
|🇰🇬 Kyrgyzstan||🇷🇺 Russia|
|🇰🇭 Cambodia||🇹🇭 Thailand|
|🇰🇮 Kiribati||🇫🇯 Fiji|
|🇰🇲 Comoros||🇫🇷 France|
|🇰🇳 Saint Kitts and Nevis||🇺🇸 The United States|
|🇰🇵 North Korea||🇺🇸 The United States|
|🇰🇷 South Korea||🇯🇵 Japan|
|🇰🇼 Kuwait||🇮🇳 India|
|🇰🇿 Kazakhstan||🇷🇺 Russia|
|🇱🇦 Laos||🇹🇭 Thailand|
|🇱🇧 Lebanon||🇸🇾 Syria|
|🇱🇨 Saint Lucia||🇬🇧 United Kingdom|
|🇱🇮 Liechtenstein||🇨🇭 Switzerland|
|🇱🇰 Sri Lanka||🇮🇳 India|
|🇱🇷 Liberia||🇺🇸 The United States|
|🇱🇸 Lesotho||🇿🇦 South Africa|
|🇱🇹 Lithuania||🇷🇺 Russia|
|🇱🇺 Luxembourg||🇫🇷 France|
|🇱🇻 Latvia||🇷🇺 Russia|
|🇱🇾 Libya||🇪🇬 Egypt|
|🇲🇦 Morocco||🇫🇷 France|
|🇲🇨 Monaco||🇫🇷 France|
|🇲🇩 Moldova||🇷🇺 Russia|
|🇲🇪 Montenegro||🇷🇸 Serbia|
|🇲🇬 Madagascar||🇫🇷 France|
|🇲🇰 Republic of North Macedonia||🇷🇸 Serbia|
|🇲🇱 Mali||🇫🇷 France|
|🇲🇲 Myanmar||🇯🇵 Japan|
|🇲🇳 Mongolia||🇯🇵 Japan|
|🇲🇷 Mauritania||🇫🇷 France|
|🇲🇹 Malta||🇬🇧 United Kingdom|
|🇲🇺 Mauritius||🇮🇳 India|
|🇲🇻 Maldives||🇮🇳 India|
|🇲🇼 Malawi||🇿🇦 South Africa|
|🇲🇽 Mexico||🇺🇸 The United States|
|🇲🇾 Malaysia||🇯🇵 Japan|
|🇲🇿 Mozambique||🇧🇷 Brazil|
|🇳🇪 The Niger||🇫🇷 France|
|🇳🇬 Nigeria||🇺🇸 The United States|
|🇳🇮 Nicaragua||🇺🇸 The United States|
|🇳🇱 The Netherlands||🇩🇪 Germany|
|🇳🇴 Norway||🇸🇪 Sweden|
|🇳🇵 Nepal||🇮🇳 India|
|🇳🇿 New Zealand||🇦🇺 Australia|
|🇴🇲 Oman||🇮🇳 India|
|🇵🇦 Panama||🇺🇸 The United States|
|🇵🇪 Peru||🇪🇸 Spain|
|🇵🇬 Papua New Guinea||🇦🇺 Australia|
|🇵🇭 The Philippines||🇯🇵 Japan|
|🇵🇰 Pakistan||🇮🇳 India|
|🇵🇱 Poland||🇩🇪 Germany|
|🇵🇸 Palestine||🇮🇱 Israel|
|🇵🇹 Portugal||🇧🇷 Brazil|
|🇵🇾 Paraguay||🇦🇷 Argentina|
|🇶🇦 Qatar||🇮🇳 India|
|🇷🇴 Romania||🇮🇹 Italy|
|🇷🇸 Serbia||🇽🇰 Kosovo|
|🇷🇺 Russia||🇺🇸 The United States|
|🇷🇼 Rwanda||🇺🇬 Uganda|
|🇸🇦 Saudi Arabia||🇪🇬 Egypt|
|🇸🇧 Solomon Islands||🇦🇺 Australia|
|🇸🇨 Seychelles||🇮🇳 India|
|🇸🇩 Sudan||🇪🇬 Egypt|
|🇸🇪 Sweden||🇺🇸 The United States|
|🇸🇬 Singapore||🇯🇵 Japan|
|🇸🇮 Slovenia||🇭🇷 Croatia|
|🇸🇰 Slovakia||🇨🇿 Czechia|
|🇸🇱 Sierra Leone||🇬🇳 Guinea|
|🇸🇲 San Marino||🇮🇹 Italy|
|🇸🇳 Senegal||🇫🇷 France|
|🇸🇴 Somalia||🇮🇳 India|
|🇸🇷 Suriname||🇳🇱 The Netherlands|
|🇸🇸 South Sudan||🇺🇸 The United States|
|🇸🇹 Sao Tome and Principe||🇵🇹 Portugal|
|🇸🇻 El Salvador||🇺🇸 The United States|
|🇸🇾 Syria||🇱🇧 Lebanon|
|🇸🇿 Eswatini||🇿🇦 South Africa|
|🇹🇩 Chad||🇺🇸 The United States|
|🇹🇬 Togo||🇫🇷 France|
|🇹🇭 Thailand||🇯🇵 Japan|
|🇹🇯 Tajikistan||🇷🇺 Russia|
|🇹🇱 Timor-Leste||🇸🇬 Singapore|
|🇹🇲 Turkmenistan||🇷🇺 Russia|
|🇹🇳 Tunisia||🇫🇷 France|
|🇹🇴 Tonga||🇳🇿 New Zealand|
|🇹🇷 Turkey||🇺🇸 The United States|
|🇹🇹 Trinidad and Tobago||🇺🇸 The United States|
|🇹🇼 Taiwan||🇯🇵 Japan|
|🇹🇿 Tanzania||🇰🇪 Kenya|
|🇺🇦 Ukraine||🇷🇺 Russia|
|🇺🇬 Uganda||🇺🇸 The United States|
|🇺🇸 The United States||🇲🇽 Mexico|
|🇺🇾 Uruguay||🇦🇷 Argentina|
|🇺🇿 Uzbekistan||🇷🇺 Russia|
|🇻🇨 Saint Vincent and the Grenadines||🇧🇧 Barbados|
|🇻🇪 Venezuela||🇨🇴 Colombia|
|🇻🇳 Vietnam||🇯🇵 Japan|
|🇻🇺 Vanuatu||🇦🇺 Australia|
|🇽🇰 Kosovo||🇦🇱 Albania|
|🇾🇪 Yemen||🇸🇦 Saudi Arabia|
|🇿🇦 South Africa||🇬🇧 United Kingdom|
|🇿🇲 Zambia||🇿🇦 South Africa|
|🇿🇼 Zimbabwe||🇿🇦 South Africa|
While it’s the top googled country in neighboring places like Canada and Mexico, it’s also number one in countries much farther away like Nigeria, Sweden, and Australia.
The U.S. is currently the world’s largest economy by nominal GDP, and one of the biggest cultural influences globally. However, it’s worth noting that China, the world’s second-largest economy and the most populated, had very little search interest in comparison, at least based on Google Trends data.
Zooming into Specific Regions
In addition to the network map highlighting the overall top googled countries, Sundell created a series of videos breaking down the data monthly, by regions. Here are the videos for the U.S., Europe, and Asia.
The United States
Since 2004, there have been a high number of searches for Canada, Mexico and India in America.
The searches for Mexico seem to be concentrated in the Western U.S., which is also where a large portion of the country’s Hispanic population lives. In contrast, searches for India seem to come mostly from the eastern side of the country.
The U.S. is by the far the most commonly googled country across Europe, ranking number one consistently over the last two decades.
However, Russia stole the limelight in 2014, the year that they invaded and ultimately annexed Crimea.
In the early 2000s, the U.S. held the top googled spot in Asia, but over time, relative searches for the U.S. go down. India stole the top spot to become the most googled country in Asia for a majority of the 2010s.
One anomaly occurred when Japan briefly took the top spot in March 2011, which is when a magnitude 9.0 earthquake hit the northern coast of Japan, causing a devastating tsunami.
What will future search results reveal about the global landscape? Were any of the results surprising?
This article was published as a part of Visual Capitalist's Creator Program, which features data-driven visuals from some of our favorite Creators around the world.
Brand Loyalty is Declining for Most Luxury Automakers
Brand loyalty has declined for most luxury automakers, but three brands—Tesla, Maserati, and Genesis—appear to have bucked the trend.
Brand Loyalty is Declining for Most Luxury Automakers
New research conducted by S&P Global Mobility has found that brand loyalty—measured as the percentage of buyers that go back to the same brand for their next vehicle—is falling across the luxury segment.
In this infographic, we’ve visualized the results of this research, which spans from January 2020 to April 2022.
Brand Loyalty Losers
The following brands have all experienced a drop in brand loyalty over the time period.
For additional context, we’ve also included each brand’s score in the J.D. Power 2022 Initial Quality Study. This is measured based on the number of problems experienced per 100 vehicles (PP100) in the first 90 days of ownership.
|Brand||Percentage Point Change|
in Brand Loyalty
|🇬🇧 Land Rover||-9.2||193|
|🇮🇹 Alfa Romeo||-6.6||211|
Land Rover experienced the biggest drop in loyalty, despite a better than average PP100 rating. One potential reason is timing—the brand’s premier model, the Range Rover, has been in its fourth generation since 2012. The SUV has become relatively dated, though a new fifth generation was recently revealed for the 2022 model year.
Two Volkswagen Group brands, Audi and Porsche, also fared poorly in terms of loyalty. This is somewhat surprising, as both brands offer a portfolio of both gasoline and electric models. Many competitors, such as Acura, Lexus, and Maserati, have yet to release an EV.
Brand Loyalty Winners
Three brands have managed to buck the trend, as shown below.
|Brand||Percentage Point Change|
in Brand Loyalty
We can draw parallels between Tesla and Apple, in that both have incredibly loyal followers.
For instance, between March 2021 to April 2022, 62% of buyers/households who returned to market and previously owned a Model 3 purchased a new Tesla. That’s an impressive statistic, especially when we consider Tesla’s history of build quality issues.
Maserati appears to be in the same boat. The Italian automaker has strengthened its brand loyalty by 4.3 percentage points, despite having the luxury segment’s worst PP100. Perhaps build quality matters less than we think.
Another Factor to Consider
Ongoing supply chain issues could also be contributing to wide-spread declines in loyalty. Rather than waiting several months (or in the case of EVs, years), buyers may switch to a different brand that has cars in stock.
We are still monitoring it week to week, but up to now basically worldwide, we had no issues running production.
– Joerg Burzer, Mercedes-Benz
Many automakers have reported that their supply issues are diminishing, though new economic challenges have risen. For example, surging inflation has pushed the price of a new car to record highs. Combined with rising interest rates (cost of borrowing), this could negatively impact the demand for new cars.
Visualizing the Relationship Between Cancer and Lifespan
New research links mutation rates and lifespan. We visualize the data supporting this new framework for understanding cancer.
A Newfound Link Between Cancer and Aging?
A new study in 2022 reveals a thought-provoking relationship between how long animals live and how quickly their genetic codes mutate.
Cancer is a product of time and mutations, and so researchers investigated its onset and impact within 16 unique mammals. A new perspective on DNA mutation broadens our understanding of aging and cancer development—and how we might be able to control it.
Mutations, Aging, and Cancer: A Primer
Cancer is the uncontrolled growth of cells. It is not a pathogen that infects the body, but a normal body process gone wrong.
Cells divide and multiply in our bodies all the time. Sometimes, during DNA replication, tiny mistakes (called mutations) appear randomly within the genetic code. Our bodies have mechanisms to correct these errors, and for much of our youth we remain strong and healthy as a result of these corrective measures.
However, these protections weaken as we age. Developing cancer becomes more likely as mutations slip past our defenses and continue to multiply. The longer we live, the more mutations we carry, and the likelihood of them manifesting into cancer increases.
A Biological Conundrum
Since mutations can occur randomly, biologists expect larger lifeforms (those with more cells) to have greater chances of developing cancer than smaller lifeforms.
Strangely, no association exists.
It is one of biology’s biggest mysteries as to why massive creatures like whales or elephants rarely seem to experience cancer. This is called Peto’s Paradox. Even stranger: some smaller creatures, like the naked mole rat, are completely resistant to cancer.
This phenomenon motivates researchers to look into the genetics of naked mole rats and whales. And while we’ve discovered that special genetic bonuses (like extra tumor-suppressing genes) benefit these creatures, a pattern for cancer rates across all other species is still poorly understood.
Cancer May Be Closely Associated with Lifespan
Researchers at the Wellcome Sanger Institute report the first study to look at how mutation rates compare with animal lifespans.
Mutation rates are simply the speed at which species beget mutations. Mammals with shorter lifespans have average mutation rates that are very fast. A mouse undergoes nearly 800 mutations in each of its four short years on Earth. Mammals with longer lifespans have average mutation rates that are much slower. In humans (average lifespan of roughly 84 years), it comes to fewer than 50 mutations per year.
The study also compares the number of mutations at time of death with other traits, like body mass and lifespan. For example, a giraffe has roughly 40,000 times more cells than a mouse. Or a human lives 90 times longer than a mouse. What surprised researchers was that the number of mutations at time of death differed only by a factor of three.
Such small differentiation suggests there may be a total number of mutations a species can collect before it dies. Since the mammals reached this number at different speeds, finding ways to control the rate of mutations may help stall cancer development, set back aging, and prolong life.
The Future of Cancer Research
The findings in this study ignite new questions for understanding cancer.
Confirming that mutation rate and lifespan are strongly correlated needs comparison to lifeforms beyond mammals, like fishes, birds, and even plants.
It will also be necessary to understand what factors control mutation rates. The answer to this likely lies within the complexities of DNA. Geneticists and oncologists are continuing to investigate genetic curiosities like tumor-suppressing genes and how they might impact mutation rates.
Aging is likely to be a confluence of many issues, like epigenetic changes or telomere shortening, but if mutations are involved then there may be hopes of slowing genetic damage—or even reversing it.
While just a first step, linking mutation rates to lifespan is a reframing of our understanding of cancer development, and it may open doors to new strategies and therapies for treating cancer or taming the number of health-related concerns that come with aging.
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