See more visualizations like this on the Voronoi app. Use This Visualization Mapped: Where Gas Costs Are Highest—and Why See visuals like this from many other data creators on our Voronoi app. Download it for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources. Key Takeaways U.S. drivers spend between $1.6K and $3.3K per year on gas, depending on the state. Driving distance—not gas prices—is the biggest factor behind higher costs. Rural states like Wyoming top the list, while Northeast states rank lowest due to shorter commutes. Gas prices only tell part of the story. Across the U.S., drivers can pay more than twice as much annually for fuel, even in states where gas is relatively cheap. The difference comes down to how much people drive. Using data from AAA and the Federal Highway Administration via FinanceBuzz, this map estimates annual gasoline costs by state based on April 15, 2026 prices, average miles driven, and a fuel efficiency of 25.6 miles per gallon. The result is a clear divide: states with longer driving distances, often rural, face the highest total costs, while shorter commutes in the Northeast keep annual spending far lower. Ranked: Where Gas Costs Add Up the Most Wyoming tops the list at $3,343 per year, over $1,000 above the national average, not because of high gas prices but because of how much people drive. Drivers in the state log nearly 22,000 miles annually, about 50% more than the U.S. average, pushing total fuel costs higher despite below-average prices at the pump. Other rural states, like Indiana ($2,928) and Mississippi ($2,912), also rank among the highest due to longer driving distances, even with gas prices below the U.S. average of $4.07 per gallon. The table below breaks down estimated annual gas costs by state, combining April 15, 2026 fuel prices, average miles driven, and a fuel efficiency of 25.6 miles per gallon. RankStateAnnual Fuel CostPrice of Gas per GallonApril 15Annual Miles per Driver 1Wyoming$3,343$3.8921,986 2Indiana$2,928$3.8819,296 3Mississippi$2,912$3.7419,910 4New Mexico$2,833$3.9618,321 5Missouri$2,733$3.6719,049 6California$2,705$5.8811,780 7Alabama$2,657$3.8417,728 8Utah$2,587$4.2115,725 9Kentucky$2,541$3.9816,330 10Tennessee$2,497$3.8616,558 11Idaho$2,483$4.3414,643 12North Dakota$2,480$3.6217,560 13Nevada$2,465$4.9612,716 14Arkansas$2,463$3.6517,287 15Arizona$2,458$4.6613,501 16Hawaii$2,454$5.6511,115 17Oklahoma$2,426$3.4418,031 18Georgia$2,411$3.6816,763 19Louisiana$2,409$3.7516,452 20Montana$2,406$3.9015,775 21Vermont$2,404$4.0915,048 22Texas$2,373$3.7716,125 23Oregon$2,345$5.0012,016 24Virginia$2,309$3.9714,877 25Wisconsin$2,299$3.7815,580 26Florida$2,296$4.1514,179 27North Carolina$2,292$3.8615,198 28South Carolina$2,232$3.7915,075 29Maine$2,230$4.0214,185 30South Dakota$2,220$3.6815,424 31Kansas$2,184$3.5115,941 32West Virginia$2,164$3.9314,091 33Nebraska$2,148$3.6315,157 34Washington$2,132$5.3910,125 35Maryland$2,120$4.1013,228 36Illinois$2,072$4.3612,154 37Minnesota$2,066$3.7114,272 38Alaska$2,026$4.6411,173 39Iowa$2,005$3.6514,077 40Ohio$1,981$3.8013,345 41Michigan$1,976$3.9212,906 42New Hampshire$1,934$3.9612,511 43Massachusetts$1,932$3.9712,472 44Colorado$1,921$3.9612,426 45Connecticut$1,908$4.0811,974 46Pennsylvania$1,807$4.1311,189 47New Jersey$1,804$4.0011,536 48Delaware$1,684$3.9710,854 49Rhode Island$1,616$3.9710,411 50New York$1,582$4.139,815 -- U.S. State Average $2,285$4.0714,558 California ranks sixth at $2,705 per year. Despite having the highest gas prices in the country, shorter driving distances, about 11,780 miles annually versus the 13,916 national average, keep total costs lower than in many cheaper states. Why Northeast Drivers Spend the Least on Gas The same pattern plays out in reverse in the Northeast. In New York, drivers spend just $1,582 per year, about $700 below the national average, largely because they drive the fewest miles (9,185 annually). States like Rhode Island, Delaware, and New Jersey follow a similar pattern, where shorter commutes keep total fuel costs low even when gas prices are relatively high. Ultimately, the states with the highest gas prices aren’t always the most expensive places to drive. Instead, longer commutes in rural America push total costs higher, changing how fuel affordability is actually experienced. Learn More on the Voronoi App To learn more about this topic, check out this graphic on the top countries by oil reserves.

Use This Visualization Charted: AI Articles Have Overtaken Human-Written Ones See visuals like this from many other data creators on our Voronoi app. Download it for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources. Key Takeaways AI-generated articles rose from 2.2% of sampled articles in January 2020 to 51.7% in May 2025. Graphite estimates AI-written articles first surpassed human-written ones in November 2024. The study looked at 65,000 English-language URLs from Common Crawl and classified articles as AI-generated when more than half the text was flagged as AI-written. AI-written articles have gone from a small share of the web to a majority of sampled articles in just five years. This visualization is part of Visual Capitalist’s AI Week, sponsored by Terzo. It visualizes monthly data from Graphite, which studied 65,000 English-language URLs from Common Crawl and tracked how the share of AI-generated articles changed between January 2020 and May 2025. When AI-Written Articles Passed Human-Written Ones In January of 2020, 97.8% of written content analyzed by Graphite was written by humans, with just 2.2% written by AI. One year after ChatGPT’s launch, in November 2023, AI-written content had risen to make up 39%. The data table below shows the estimated share of sampled published web articles classified as human-written versus AI-generated over time from January 2020 to May 2025: MonthHuman ContentAI Content January 202097.8%2.2% February 202097.7%2.3% March 202098.0%2.0% April 202097.4%2.6% May 202097.9%2.1% June 202098.1%2.0% July 202097.7%2.3% August 202097.6%2.4% September 202096.8%3.2% October 202096.9%3.1% November 202097.0%3.0% December 202097.3%2.7% January 202198.0%2.0% February 202197.0%3.0% March 202197.1%2.9% April 202196.7%3.4% May 202197.2%2.8% June 202196.1%4.0% July 202197.0%3.0% August 202195.7%4.3% September 202198.4%1.6% October 202195.2%4.8% November 202198.6%1.4% December 202196.4%3.6% January 202295.0%5.0% February 202293.4%6.6% March 202294.9%5.1% April 202295.1%4.9% May 202295.2%4.8% June 202293.8%6.2% July 202294.4%5.6% August 202292.8%7.2% September 202290.4%9.6% October 202291.9%8.1% November 202292.3%7.8% December 202289.0%11.0% January 202384.0%16.0% February 202383.7%16.3% March 202379.3%20.7% April 202374.5%25.5% May 202369.6%30.4% June 202367.2%32.8% July 202360.8%39.2% August 202361.0%39.0% September 202364.1%35.9% October 202360.2%39.9% November 202361.0%39.0% December 202355.4%44.6% January 202454.6%45.4% February 202458.9%41.1% March 202454.8%45.3% April 202459.0%41.0% May 202457.3%42.7% June 202458.1%41.9% July 202455.5%44.5% August 202452.4%47.6% September 202452.6%47.4% October 202451.4%48.6% November 202448.9%51.1% December 202445.5%54.5% January 202544.9%55.1% February 202548.6%51.4% March 202548.7%51.3% April 202552.7%47.3% May 202548.3%51.7% According to Graphite, AI-generated articles eventually surpassed human-written ones in November 2024, marking a major turning point in web publishing. As of May 2025, AI-written articles accounted for 51.7% of Graphite’s sample, slightly above the human-written share. A Plateau After Rapid Growth While AI-written content grew quickly, the trend has leveled off more recently. Graphite found that the proportion of AI-generated articles has remained relatively stable since May 2024, suggesting that the first wave of explosive adoption may have cooled. Importantly, this does not mean most web traffic goes to AI-written content. Graphite notes that publishing volume and audience visibility are different measures, and AI-generated articles appear less visible in Google and ChatGPT than their prevalence in published articles suggests. How Articles Were Classified Graphite split each article into 500-word chunks and used Surfer’s AI detector to estimate how much of it was AI-written. An article was labeled AI-generated if more than 50% of its content was flagged as AI-written. This study focused specifically on English-language articles and listicles, not all online content. To be included, URLs had to have article schema markup, contain at least 100 words, and have publish dates between January 2020 and May 2025. Learn More on the Voronoi App If you enjoyed today’s post, check out The Jobs Most Exposed to Generative AI on Voronoi.  

Use This Visualization Mapped: The States Where Businesses Use AI Most See visuals like this from many other data creators on our Voronoi app. Download it for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources. Key Takeaways Colorado, Arizona, and Washington, D.C. have the highest business AI adoption rates in 2026, while West Virginia ranks last at 10.8%. California ranks 13th at 19.5%, above the U.S. average but behind several Western and Sun Belt states. AI adoption among U.S. businesses is spreading beyond the country’s traditional tech hubs. In 2026, Colorado and Arizona report the highest shares of businesses using AI, while California ranks 13th nationally. At the other end of the list, West Virginia, Arkansas, and North Dakota have some of the lowest adoption rates. This visualization is part of Visual Capitalist’s AI Week, sponsored by Terzo. It maps AI adoption by businesses by state in 2026 using data from the U.S. Census Bureau’s Business Trends and Outlook Survey (BTOS), averaged across six releases published from January 15, 2026 to March 26, 2026. Where Business AI Adoption Is Highest in the U.S. Colorado tops the country with 23.2% of businesses adopting AI on average in 2026. It’s followed closely by Arizona (22.9%) and Washington, D.C. (22.5%), with Oregon and Utah tied for fourth at 21.1%. The data table below shows the share of businesses by state that are using AI in their workflows in 2026: RankState or DistrictShare of businesses reporting AI usein any business function in 2026 1Colorado23.2% 2Arizona22.9% 3District of Columbia22.5% 4Oregon21.1% 5Utah21.1% 6Nevada20.9% 7Florida20.9% 8Maryland20.7% 9Washington20.4% 10Delaware20.0% 11Minnesota19.8% 12Texas19.8% 13California19.5% 14Massachusetts19.4% 15North Carolina18.6% 16Virginia18.4% 17South Carolina18.3% 18Georgia18.2% 19Montana18.2% 20Rhode Island18.0% 21Wyoming17.8% 22Ohio17.8% 23Tennessee17.7% 24New Hampshire17.7% 25Maine17.5% 26Missouri17.5% 27South Dakota17.5% 28Indiana17.4% 29Idaho17.0% 30Illinois16.8% 31Hawaii16.4% 32Wisconsin16.1% 33Pennsylvania16.1% 34Connecticut16.0% 35Kentucky16.0% 36New Jersey15.9% 37Alabama15.7% 38New York15.3% 39Michigan15.2% 40Nebraska15.0% 41Kansas15.0% 42Louisiana14.5% 43Alaska14.4% 44Mississippi14.4% 45New Mexico14.1% 46Vermont14.0% 47Iowa13.8% 48Oklahoma13.3% 49North Dakota12.3% 50Arkansas11.8% 51West Virginia10.8% -- U.S. Average18.2% The leaderboard is dominated by Western and Mountain states. Nine states and D.C. report AI use at 20% or above, with most of them west of the Mississippi. California, often assumed to be the AI heartland, ranks 13th at 19.5%—above the national average of 18.2% but still behind the leading states. A few non-Western standouts appear near the top. Maryland (20.7%) and Delaware (20.0%) benefit from proximity to federal agencies and the mid-Atlantic professional services corridor. Florida (20.9%) and Texas (19.8%) reflect the Sun Belt’s rapid growth in tech employment and startup formation over the past several years. Where AI Usage Still Lags in America At the other end of the map, West Virginia trails every state at 10.8%, followed by Arkansas (11.8%), North Dakota (12.3%), Oklahoma (13.3%), and Iowa (13.8%). Vermont (14.0%) and New Mexico (14.1%) round out the bottom seven. These states share a common profile: smaller average firm sizes, heavier concentrations in agriculture, extraction, and manufacturing, and fewer professional services businesses—the sectors that have driven most AI adoption so far. Vermont is a partial exception, but its small-business-heavy economy tracks with the broader pattern. Several large-population states also sit below average. New York reports just 15.3% AI use, Michigan 15.2%, and New Jersey 15.9%. Despite dense corporate footprints, their economy-wide averages are pulled down by the long tail of small firms that have been slower to deploy AI tools. Firm Size Shows a Big Divide in AI Adoption The state-to-state spread is wide, but the gap between large and small businesses is wider. Businesses with 250 or more employees report 32.5% AI use on average. Businesses with just 5 to 9 employees report 17.3%. In other words, business size appears to matter even more than geography. The gap between large and small firms is bigger than the gap between the highest-adoption state, Colorado, and the lowest, West Virginia. Larger firms have the IT staff, vendor relationships, and structured workflows that make it easier to pilot and scale AI. Smaller firms face a steeper cost-per-seat and often rely on whatever AI is bundled into the software they already use. As off-the-shelf AI gets cheaper and more embedded in everyday tools, the size gap is likely to narrow. But as of early 2026, where a business operates matters less for its AI adoption than how big it is. Learn More on the Voronoi App If you enjoyed today’s post, check out which countries lead AI Adoption in Europe on Voronoi.  

Mapped: Where Gas Prices Have Surged Over 100% This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources. Key Takeaways Gas prices have surged dramatically worldwide, led by Myanmar (+101%). Southeast Asia dominates the rankings, with 5 of the top 10 largest increases. Major economies like the U.S. have also seen sharp rises, with prices up 35%. Fuel price spikes are beginning to push up fertilizer and food costs globally. Gasoline prices are rising worldwide, but in some countries the increase has been extreme. In the hardest-hit countries, fuel costs have more than doubled in just a few weeks, underscoring how sharply energy markets can react to geopolitical shocks. This map, created by Iswardi Ishak using data from Global Petrol Prices, tracks changes in gasoline costs across 128 countries between February 23 and April 13, 2026, following the outbreak of the Iran conflict. The sharpest increases are clustered in a handful of regions, particularly across Southeast Asia, where reliance on imported fuel has amplified the impact. If disruptions persist, these price pressures could continue to build, particularly in regions most dependent on imported fuel. Where Gas Prices Are Rising the Fastest The countries below have seen the steepest gasoline price increases since late February, with several experiencing rapid double-digit—and even triple-digit—growth. Southeast Asia accounts for half of the top 10 largest gasoline price increases. Myanmar leads globally with a staggering 101% surge, followed by the Philippines and Malaysia. RankLocationGasoline Price Changes (Feb 23–Apr 13, 2026) 1 Myanmar101.1% 2 Philippines72.6% 3 Malaysia68.1% 4 Laos45.6% 5 Zimbabwe42.9% 6 Pakistan42.0% 7 United Arab Emirates40.8% 8 Cambodia40.4% 9 Nepal39.5% 10 Panama38.5% 11 Guatemala37.7% 12 Tanzania37.0% 13 Peru35.6% 14 United States35.1% 15 Malawi34.4% 16 New Zealand34.0% 17 Sri Lanka33.8% 18 Lebanon32.6% 19 Lesotho31.6% 20 Puerto Rico29.7% 21 Honduras29.7% 22 Thailand29.3% 23 Australia29.3% 24 Canada28.9% 25 China28.0% 26 Morocco26.9% 27 Czech Republic25.3% 28 Moldova25.0% 29 Chile24.7% 30 Bosnia and Herzegovina24.7% 31 Andorra23.1% 32 Sierra Leone22.8% 33 Vietnam22.6% 34 Lithuania21.9% 35 Sweden21.7% 36 Argentina21.4% 37 Bulgaria21.3% 38 Paraguay21.1% 39 Estonia21.1% 40 El Salvador20.6% 41 Belgium20.1% 42 United Kingdom20.0% 43 France19.8% 44 Mayotte18.7% 45 Greece18.6% 46 Germany18.6% 47 Jamaica18.2% 48 Taiwan18.1% 49 Latvia17.7% 50 Ukraine17.5% 51 Ghana16.8% 52 Georgia16.7% 53 South Korea16.5% 54 South Africa16.5% 55 Netherlands16.5% 56 Israel16.4% 57 Iceland16.4% 58 Aruba16.1% 59 Luxembourg16.0% 60 Jordan15.9% 61 Rwanda15.8% 62 Liechtenstein15.8% 63 Cyprus15.8% 64 Denmark15.3% 65 Curacao15.3% 66 Cape Verde15.2% 67 Fiji14.9% 68 Croatia14.9% 69 Egypt14.3% 70 Guyana14.1% 71 Austria13.9% 72 Suriname13.4% 73 Singapore13.3% 74 Portugal13.3% 75 Slovakia13.0% 76 Slovenia12.8% 77 Namibia12.8% 78 Grenada12.5% 79 Romania12.3% 80 Switzerland11.6% 81 Macedonia11.6% 82 Montenegro11.5% 83 Qatar10.8% 84 Mexico10.1% 85 Finland9.6% 86 Ecuador9.6% 87 Cayman Islands9.6% 88 Turkey9.5% 89 Hong Kong9.1% 90 Japan8.2% 91 Ireland8.2% 92 Bahrain7.7% 93 Brazil7.5% 94 Italy7.2% 95 Poland6.8% 96 Serbia6.7% 97 Hungary6.4% 98 Uruguay5.8% 99 Dominican Republic5.2% 100 Spain4.6% 101 Indonesia2.8% 102 Belarus2.7% 103 Norway2.1% 104 Russia1.5% 105 Costa Rica0.8% 106 Wallis and Futuna Islands0.7% 107 Tunisia0.0% 108 Saudi Arabia0.0% 109 Saint Lucia0.0% 110 Oman0.0% 111 Nicaragua0.0% 112 Mozambique0.0% 113 Mauritius0.0% 114 Malta0.0% 115 Kuwait0.0% 116 Kenya0.0% 117 Côte d'Ivoire0.0% 118 Cameroon0.0% 119 Burkina Faso0.0% 120 Bolivia0.0% 121 Benin0.0% 122 Bangladesh0.0% 123 Algeria0.0% 124 India-0.1% 125 Colombia-0.7% 126 Barbados-1.1% 127 Zambia-2.6% 128 Madagascar-3.9% Several Southeast Asian countries are posting increases above 40%, placing the region at the center of the global price surge. This region’s vulnerability is closely tied to its reliance on oil imports flowing through the Strait of Hormuz—one of the world’s most critical chokepoints. Disruptions here can quickly ripple across Asian markets. Compounding the issue, many Southeast Asian economies lack domestic energy buffers, making them especially sensitive to price volatility and shipping risks. Africa’s Rising Cost Burden While Southeast Asia dominates the rankings, several African nations—including Zimbabwe, Tanzania, and Malawi—are also seeing fuel prices climb more than 30%. For these economies, higher gasoline prices translate directly into increased transportation and living costs. In regions where incomes are lower and energy imports are essential, these spikes can quickly strain households and businesses alike. Southern and eastern Africa, in particular, are facing a dual challenge: rising fuel costs and limited infrastructure to cushion supply disruptions. Energy Shock Spreads to Food Systems The impact of rising gasoline prices extends well beyond the pump. Energy is a key input in fertilizer production, and higher oil and gas prices are already pushing fertilizer costs upward. This creates a direct cost shock across global agriculture, raising production expenses and increasing the likelihood of higher food prices in the months ahead, especially in import-dependent economies. Learn More on the Voronoi App For a closer look at how Europe is navigating this energy disruption, check out Europe’s Fuel Index: Tracking the Iran War Shock on the Voronoi app.

Ranked: What Makes Europeans Most Proud of Their Country? Key Takeaways Culture, people, and history are the top drivers of national pride across Europe. The UK (29%) and Hungary (23%) stand out for high levels of negative sentiment. Sweden is a major outlier, with 53% citing politics as a source of pride. What people take pride in says a lot about how they see their country. Across Europe, those sources range from culture and history to political systems and personal freedoms. But in some countries, a notable share of people say they feel little pride at all. This visualization by The European Correspondent, based on Pew Research Center data, breaks down the top three sources of national pride in each country surveyed. Top Sources of National Pride, by Country Here’s a closer look at the top three sources of national pride cited by adults in each country: CountryTop SourceSecond SourceThird Source SwedenPolitics (53%)Landscape (32%)People (26%) ItalyCulture (38%)Landscape (24%)People (23%) GreeceHistory (37%)People (31%)Negative feeling (19%) GermanyPolitics (36%)Economy (18%)Freedom (16%) SpainPeople (32%)Negative feeling (25%)Culture (16%) UKNegative feeling (29%)People (25%)Politics (22%) FranceCulture (26%)People (24%)Freedom (22%) NetherlandsFreedom (24%)Economy (21%)Politics (21%) HungaryNegative feeling (23%)History (21%)People (20%) PolandIdentity (21%)History (20%)People (18%) TürkiyePeople (20%)History (12%)Identity (10%) Culture dominates in countries like Italy (38%) and France (26%), while history plays a major role in Greece (37%). Meanwhile, Sweden stands out with 53% citing politics—by far the highest single-category share. The Core Drivers of Pride Across Europe In much of Europe, national pride is rooted in shared identity and heritage. Southern European countries like Italy and Greece emphasize culture and history, reflecting their deep historical legacies and global cultural influence. Elsewhere, people themselves are a key source of pride. Spain (32%) and France (24%) rank highly in this category, suggesting a strong sense of national community and social cohesion. Where National Pride Is Weakest Not all sentiment is positive. In the UK, 29% of respondents cite “negative feeling” when describing their country, which is higher than any single positive category. Hungary (23%) and Spain (25%) also show notable shares of dissatisfaction. This aligns with broader research. According to Pew, individuals who express less pride are often those who do not identify with the governing political parties. In the UK specifically, findings from British Social Attitudes surveys suggest national identity has become more fragmented in recent years, often tied to political divisions. These dynamics help explain why politics can be both a source of pride—as in Sweden—and frustration, as seen elsewhere. Politics as a Source of Pride—and Division Sweden stands out sharply, with 53% of respondents citing politics as a source of pride, which is the highest share of any single category in the dataset. Germany (36%) follows at a distance. Meanwhile, in other countries, political dissatisfaction helps explain rising negative sentiment, particularly among those who feel disconnected from leadership.

See more visuals like this on the Voronoi app. Use This Visualization U.S. Birth Rates Still Haven’t Recovered From 2007 See visuals like this from many other data creators on our Voronoi app. Download it for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources. Key Takeaways U.S. birth rates hit a record low in 2025, down 23% from their recent local peak in 2007. The sharpest drop followed the 2008 financial crisis, and rates have never fully recovered. Short-lived rebounds, including after COVID-19, have not reversed the long-term decline. The U.S. birth rate hit another record low in 2025. This chart tracks births per 1,000 women ages 15–44 from 2000 to 2025, based on CDC data with additional reporting from CNN. It highlights a clear turning point after 2007, when birth rates spiked, and shows how economic shocks like the Great Recession and COVID-19 accelerated a trend that has yet to reverse. The Peak Before a Long Decline By 2007, U.S. birth rates reached 69.3 births per 1,000 women, the highest level in the dataset. This marked a clear inflection point. Birth rates then began a sustained decline that continues through 2025. YearBirths per 1,000 Women (ages 15 to 44) 200065.9 200165.1 200265 200366.1 200466.4 200566.7 200668.6 200769.3 200868.1 200966.2 201064.1 201163.2 201263 201362.5 201462.9 201562.5 201662 201760.3 201859.1 201958.3 202055.7 202156.3 202256 202354.5 202453.8 202553.1 The Lasting Impact of the Great Recession The 2008 financial crisis triggered the steepest sustained drop in modern U.S. birth rates. Between 2007 and 2013, the rate fell by nearly 10%, as economic uncertainty led many households to delay or forgo having children. Unlike previous downturns, this decline proved persistent, even after the economy recovered. Part of this sustained decline was driven by falling birth rates among immigrant women, a group that had previously supported higher overall fertility levels. Pandemic Dip and Record Lows The continued decline has significant long-term implications. Fewer births today mean slower population growth and a smaller future workforce, trends that could reshape economic growth, entitlement systems, and demographic balance in the decades ahead. Learn More on the Voronoi App If you enjoyed today’s post, check out U.S. Childcare Cost Higher Than In Other Developed Countries on Voronoi, the new app from Visual Capitalist.

Use This Visualization Ranked: The Smartest AI Models of 2026 See visuals like this from many other data creators on our Voronoi app. Download it for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources. Key Takeaways Grok-4.20 Expert Mode and OpenAI GPT 5.4 Pro (Vision) tie for the top spot in TrackingAI’s April 2026 Mensa Norway benchmark, each scoring 145. The top tier is getting crowded, with several leading models now separated by only a few points. Scores have risen sharply from 2025, highlighting how quickly frontier AI reasoning has improved on visual pattern-recognition tests. The race to build smarter AI models is getting tighter at the top. This visualization, part of Visual Capitalist’s AI Week, sponsored by Terzo, ranks leading systems using data from TrackingAI, which benchmarks models on the Mensa Norway IQ test as of April 2026. The results show both who leads today and how little now separates the top contenders, with multiple frontier models clustered near the top of the leaderboard. A Tie at the Top The ranking offers a snapshot of how today’s leading AI models perform on abstract pattern-recognition tasks, and just how close the race has become. As the table below shows, only a small gap now separates the top models: ModelMensa Norway IQ (April 2026) Grok-4.20 Expert Mode145 OpenAI GPT 5.4 Pro (Vision)145 Gemini 3.1 Pro Preview141 OpenAI GPT 5.4 Thinking (Vision)139 OpenAI GPT 5.3136 Grok-4.20 Expert Mode (Vision)133 OpenAI GPT 5.4 Thinking133 Meta Muse Spark133 Gemini 3.1 Pro Preview (Vision)132 Qwen 3.5130 Claude-4.6 Opus130 Kimi K2.5127 Manus115 DeepSeek R1112 DeepSeek V3111 Gemini 3.1 Flash Preview110 Llama 4 Maverick110 OpenAI GPT 5.3 (Vision)109 Claude-4.6 Sonnet106 Bing Copilot101 Perplexity97 Mistral Medium 3.196 Claude-4.6 Sonnet (Vision)94 Claude-4.6 Opus (Vision)82 Llama 4 Maverick (Vision)79 OpenAI GPT 5.4 Pro73 The biggest takeaway is how compressed the top of the leaderboard has become. Grok-4.20 Expert Mode and OpenAI GPT 5.4 Pro (Vision) are tied for first at 145, while Gemini 3.1 Pro Preview follows closely at 141. That narrow spread suggests frontier AI models are increasingly converging at the top, where a difference of just a few points can shift the rankings. The gains from 2025 are also notable. Last year’s top score was 135, compared with 145 in this year’s results, highlighting the speed at which leading models are improving on this benchmark. Not all models are keeping pace. Among major AI developers, Mistral’s top model ranks lowest in this dataset, scoring 97—well below the leading group. How TrackingAI Runs the Test TrackingAI uses the public Mensa Norway test, a set of 35 visual-pattern puzzles. For non-vision models, the questions are verbalized, while vision models receive the original images directly. As a result, these results are best understood as a benchmark comparison—not a definitive measure of overall intelligence. Because the test is fundamentally visual, model scores can vary depending on how the questions are presented. Why This Benchmark Matters TrackingAI’s leaderboard is useful because it offers a simple, familiar way to compare reasoning performance over time. The site also notes that if a model refuses to answer, it is asked the same question up to 10 times, and the most recent answer is used for scoring. Still, an IQ-style benchmark captures only one slice of capability. It does not measure everything that matters in real-world AI use, such as coding ability, factual reliability, tool use, or performance in professional domains. Learn More on the Voronoi App If you enjoyed today’s post, check out Global AI Adoption on Voronoi.  

See more visuals like this on the Voronoi app. Use This Visualization Mapped: Gas Prices Worldwide, From $0.09 to $15.65 See visuals like this from many other data creators on our Voronoi app. Download it for free on iOS or Android and discover data-driven charts from a variety of trusted sources. Key Takeaways Gas prices range from $0.09 per gallon in Libya to $15.65 in Hong Kong. A $10 fill-up can take you 3,885 miles or just 22 miles, depending on where you are. Oil-rich nations keep prices low through subsidies, while taxes drive higher costs in wealthier economies. Gas prices vary dramatically across the globe, with some drivers paying over 170x more per gallon than others. This map shows gasoline prices in 170 countries as of April 2026, based on data from GlobalPetrolPrices. The global average sits at $5.58 per gallon, in the middle of a massive range from $0.09 in Libya to $15.65 in Hong Kong. In oil-rich countries like Libya and Iran, fuel is heavily subsidized, making it cheaper than bottled water in some cases. Meanwhile, dense, import-dependent regions like Hong Kong face the highest prices in the world. The Cheapest Gasoline Is in Oil-Rich Nations Libya tops the list at just $0.09 per gallon, followed by Iran and Venezuela, all below $0.15. In these countries, governments often subsidize fuel to maintain political stability and support domestic consumption. In Libya, gasoline is even cheaper than bottled water. RankCountryPrice (USD/gal) 1 Libya$0.09 2 Iran$0.11 3 Venezuela$0.13 4 Angola$1.24 5 Kuwait$1.28 6 Algeria$1.34 7 Turkmenistan$1.62 8 Egypt$1.66 9 Kazakhstan$1.99 10 Qatar$2.13 11 Saudi Arabia$2.35 12 Oman$2.35 13 Iraq$2.46 14 Bahrain$2.54 15 Azerbaijan$2.56 16 Sudan$2.65 17 Indonesia$2.75 18 Ecuador$2.89 19 Tunisia$3.25 20 Russia$3.26 21 Niger$3.32 22 Nigeria$3.36 23 UAE$3.38 24 Ethiopia$3.41 25 Belarus$3.44 26 Bhutan$3.47 27 Kyrgyzstan$3.51 28 Guyana$3.52 29 Afghanistan$3.61 30 Syria$3.62 31 Malaysia$3.63 32 Bangladesh$3.68 33 Bolivia$3.82 34 Uzbekistan$3.83 35 Maldives$3.92 36 Vietnam$3.94 37 Gabon$3.97 38 DR Congo$3.98 39 Taiwan$4.02 40 India$4.12 41 Colombia$4.21 42 Japan$4.22 43 Paraguay$4.23 44 El Salvador$4.30 45 Trinidad & Tobago$4.32 46 Swaziland$4.36 47 United States$4.45 48 Madagascar$4.45 49 Togo$4.53 50 Lebanon$4.57 51 Curacao$4.58 52 Benin$4.63 53 Puerto Rico$4.66 54 Grenada$4.68 55 Mauritius$4.71 56 Panama$4.75 57 Suriname$4.89 58 Cuba$4.90 59 Saint Lucia$4.93 60 Ghana$4.93 61 Namibia$4.95 62 Mozambique$4.95 63 Honduras$4.95 64 Brazil$4.97 65 Fiji$4.98 66 Botswana$5.01 67 Dominican Republic$5.02 68 Armenia$5.03 69 Georgia$5.03 70 Nicaragua$5.05 71 China$5.08 72 Burundi$5.10 73 Pakistan$5.13 74 Nepal$5.14 75 Jamaica$5.15 76 Kenya$5.16 77 South Africa$5.16 78 Liberia$5.16 79 Costa Rica$5.17 80 Guinea$5.18 81 Aruba$5.21 82 Lesotho$5.22 83 Seychelles$5.30 84 Zambia$5.30 85 Turkey$5.31 86 Uganda$5.33 87 Mongolia$5.41 88 Guatemala$5.44 89 South Korea$5.45 90 Sri Lanka$5.46 91 Ivory Coast$5.46 92 Haiti$5.53 93 Cape Verde$5.54 94 Bahamas$5.54 95 Tanzania$5.56 96 Australia$5.57 97 Cameroon$5.60 98 Burkina Faso$5.66 99 Canada$5.67 100 Myanmar$5.75 101 Argentina$5.76 102 Cayman Islands$5.79 103 Dominica$5.80 104 Mali$5.83 105 Malta$5.88 106 North Macedonia$5.95 107 Philippines$5.96 108 Rwanda$5.97 109 Mexico$5.99 110 Senegal$6.13 111 Peru$6.16 112 Morocco$6.22 113 Thailand$6.24 114 Chile$6.24 115 Cambodia$6.28 116 Bosnia & Herzegovina$6.35 117 Bulgaria$6.39 118 Jordan$6.41 119 Moldova$6.48 120 Ukraine$6.55 121 Cyprus$6.64 122 Sierra Leone$6.73 123 San Marino$6.81 124 Hungary$6.86 125 Spain$6.88 126 Slovakia$6.92 127 Andorra$6.96 128 Montenegro$6.98 129 Central African Republic$7.00 130 Barbados$7.01 131 Wallis & Futuna$7.02 132 Iceland$7.02 133 Serbia$7.07 134 Slovenia$7.10 135 Laos$7.17 136 Belize$7.27 137 Croatia$7.38 138 Poland$7.41 139 Czech Republic$7.42 140 UK$7.49 141 Estonia$7.57 142 New Zealand$7.61 143 Lithuania$7.64 144 Uruguay$7.67 145 Luxembourg$7.72 146 Sweden$7.79 147 Austria$7.85 148 Italy$7.85 149 Romania$7.91 150 Latvia$8.07 151 Belgium$8.23 152 Norway$8.26 153 Zimbabwe$8.44 154 Portugal$8.51 155 Ireland$8.60 156 Mayotte$8.65 157 France$8.75 158 Switzerland$8.89 159 Finland$8.94 160 Albania$9.10 161 Greece$9.10 162 Singapore$9.11 163 Liechtenstein$9.40 164 Germany$9.57 165 Monaco$9.73 166 Israel$10.00 167 Denmark$10.20 168 Netherlands$10.26 169 Malawi$14.56 170 Hong Kong$15.65 -- World Average$5.58 In the United States, gasoline prices sit close to the global average at about $4.45 per gallon in 2026. This relatively moderate pricing reflects a balance between domestic oil production and comparatively low fuel taxes versus Europe. While the U.S. is one of the world’s largest oil producers, prices still fluctuate with global crude markets and refining capacity. High Taxes Drive Prices in Wealthy Economies In contrast, the most expensive gasoline is found in high-income, import-dependent regions. Hong Kong leads globally at $15.65 per gallon, followed by European countries like the Netherlands and Denmark, as well as countries such as Malawi and Israel. How Far Can $10 Take You? One of the clearest ways to understand global price gaps is purchasing power at the pump—how far the same amount of money takes you. In Libya, $10 can buy enough gasoline to travel roughly 3,885 miles. In Hong Kong, that same amount covers just 22 miles. Learn More on the Voronoi App If you enjoyed today’s post, check out Gasoline Price Changes Since the Start of the Iran War on Voronoi, the new app from Visual Capitalist.

Charted: The Global Trade in European Antiques Key Takeaways France supplies 58% of EU antique exports, dominating the market. The U.S. is the top buyer, importing 44% of Europe’s antiques. Just five countries account for nearly 90% of EU exports, highlighting how concentrated the trade is. The global trade in European antiques is dominated by a few key players on both sides of the market. France leads exports by a wide margin, while the United States is the largest destination for these goods. Based on UN Comtrade data and visualized by The European Correspondent, this flow chart shows how antiques, defined here as objects over 100 years old, move from European sellers to buyers around the world. France Dominates Europe’s Antique Exports Here are the top exporters of European antiquities by value: Top ExportersTrade Value (USD)Market Share (%) France$139M58% Germany$28M12% Netherlands$15M6% Austria$14M6% Belgium$14M6% Others EU$30M12% France is the clear leader in Europe’s antique export market, accounting for 58% of total exports at $139 million, more than all other countries combined. This dominance reflects several structural advantages. Paris remains one of the world’s top auction hubs, with a dense network of galleries, dealers, and auction houses that facilitate global sales. France also holds a vast inventory of cultural assets, from fine art and furniture to rare collectibles built over centuries of artistic and political influence. Other European countries like Germany, the Netherlands, and Austria participate in the market, but at a much smaller scale. Their comparatively limited export values highlight how concentrated the supply side is, with France acting as the primary gateway for European heritage entering global markets. Who’s Buying Europe’s Past? Here are the top importers of European antiquities: Top ImportersTrade Value (USD)Market Share (%) United States$105M44% UK$48M20% Intra-EU$26M11% China / Hong Kong$25M10% Switzerland$15M6% Other$21M9% The United States leads by a wide margin, importing $105 million worth of antiques, or 44% of the total. The UK ranks second, followed by intra-EU trade and Asian markets like China and Hong Kong. This aligns with broader trends in the global art market. American collectors and institutions remain key drivers of demand for cultural assets. Meanwhile, policy changes, such as evolving tariffs on antiques and auction items, could influence future flows. While many antiques have historically benefited from favorable trade treatment, shifts in regulation may affect both buyers and sellers in the coming years.

Use This Visualization Ranked: AI Models U.S. Businesses Pay For See visuals like this from many other data creators on our Voronoi app. Download it for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources. Key Takeaways OpenAI leads paid AI adoption among U.S. businesses at 35%, but Anthropic has surged to 30% in just over a year. Anthropic’s growth has been driven by enterprise tools like Claude Code and Cowork. Google, xAI, and others remain far behind, each used by less than 5% of businesses. Anthropic is rapidly closing the gap with OpenAI in the race for paid AI adoption among U.S. businesses. As of March 2026, 35% of companies pay for OpenAI’s models, compared to 30% for Anthropic—a sharp shift from early 2025, when the gap was nearly three times wider. The change highlights how quickly enterprise demand is consolidating around a small number of AI providers. This chart, a part of Visual Capitalist’s AI Week sponsored by Terzo, uses anonymized spend data from over 50,000 U.S. businesses on the Ramp platform, capturing only paid subscriptions and excluding free-tier usage. OpenAI Leads, But Anthropic Is Closing In Fast OpenAI remains the most widely paid-for AI provider among U.S. businesses, reaching 35.2% of companies in March 2026. Anthropic sits just behind at 30.6%—a gap of only 4.5 percentage points. The data table below shows the share of U.S. businesses paying for AI models from different providers from January 2023 to March of 2026: Share of U.S. Businesses Paying for an AI Subscription DateOpenAIAnthropicGooglexAI 1/1/20230.4%0.0%1.7%0.0% 2/1/20231.5%0.0%1.6%0.0% 3/1/20233.6%0.0%1.7%0.0% 4/1/20235.7%0.0%1.8%0.0% 5/1/20236.1%0.0%1.8%0.0% 6/1/20235.9%0.0%1.9%0.0% 7/1/20236.8%0.1%1.7%0.0% 8/1/20237.2%0.1%1.7%0.0% 9/1/20237.8%0.2%1.8%0.0% 10/1/20238.1%0.3%1.8%0.0% 11/1/20238.2%0.2%2.4%0.0% 12/1/20239.3%0.3%2.4%0.0% 1/1/202410.2%0.4%2.5%0.0% 2/1/202410.2%0.4%2.6%0.0% 3/1/202411.0%1.2%3.0%0.0% 4/1/202410.6%1.4%3.3%0.0% 5/1/202411.3%1.4%3.4%0.0% 6/1/202411.0%1.5%3.2%0.0% 7/1/202411.8%2.3%3.4%0.0% 8/1/202412.5%2.5%3.5%0.0% 9/1/202412.7%2.7%3.6%0.0% 10/1/202413.7%3.0%3.7%0.0% 11/1/202413.4%3.2%3.9%0.0% 12/1/202414.8%3.6%4.0%0.0% 1/1/202516.8%4.1%4.2%0.0% 2/1/202518.2%4.4%4.2%0.2% 3/1/202526.4%7.0%2.5%0.4% 4/1/202532.0%7.9%3.2%0.5% 5/1/202533.6%8.9%4.3%0.5% 6/1/202533.4%9.6%4.0%0.6% 7/1/202535.0%11.1%3.4%1.5% 8/1/202536.5%12.1%3.0%1.5% 9/1/202535.5%12.2%3.3%1.3% 10/1/202535.8%14.3%3.3%1.6% 11/1/202534.8%15.1%4.0%1.8% 12/1/202536.8%16.7%4.3%1.9% 1/1/202635.9%19.5%4.5%2.0% 2/1/202634.4%24.4%4.7%1.9% 3/1/202635.2%30.6%4.3%1.9% That gap looked very different a year ago. In January 2025, OpenAI was used by 16.8% of U.S. businesses while Anthropic sat at 4.1%, a spread of nearly 13 points. Anthropic has since grown more than sevenfold in 14 months, while OpenAI roughly doubled over the same period. The remaining providers remain distant in paid business adoption. Google’s AI products—spanning Gemini, Vertex AI, and Workspace add-ons—have hovered between 3% and 4.5% of U.S. businesses for most of the past three years, barely moving despite heavy investment. xAI has climbed from effectively zero in early 2024 to 1.9% in March 2026, a meaningful but still small footprint. Claude Code and Cowork Drove the Anthropic Surge Anthropic’s rapid rise in business adoption tracks its push into enterprise developer and knowledge-work tools. Claude Code, the company’s coding assistant, and Cowork, its workflow collaboration platform, were both scaled aggressively across late 2025 and 2026—the period that coincides with the steepest part of Anthropic’s curve. The pattern suggests that enterprise-native tooling, rather than general chatbot access, is now the key driver of paid seat growth. OpenAI has responded with its own developer coding tool, Codex, but Anthropic’s focus on developer workflows has clearly found traction in corporate procurement. While Codex launched months after Claude Code, it has rapidly gained adoption among developers and knowledge workers, reaching four million active users as of April 21, 2026.  

See more visuals like this on the Voronoi app. Use This Visualization These Countries Hold Most of the World’s Copper See visuals like this from many other data creators on our Voronoi app. Download it for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources. Key Takeaways Chile alone holds 180M tonnes of copper—nearly double the next largest country. Just five countries account for over half of global copper reserves. Known reserves (980M tonnes) exceed all copper ever mined to date. Copper is one of the world’s most critical metals, powering everything from construction to electric vehicles and renewable energy systems. As demand rises, where this resource is located is becoming increasingly important. This visualization shows global copper reserves by country using data from the U.S. Geological Survey (2026), highlighting which nations hold the largest known deposits and how concentrated supply really is. Demand for copper is expected to surge in the coming decades, driven by electrification, AI infrastructure, and the expansion of power grids. This makes the geographic distribution of reserves more strategically important than ever. Chile Dominates Global Copper Reserves Chile dominates global copper reserves with 180 million tonnes—nearly double Australia, the next largest holder, giving it unmatched influence over global copper supply at a time when demand is rapidly rising. RankCountryReserves (Mt) 1 Chile180 2 Australia100 3 Peru85 4 Congo (DRC)80 5 Russia80 6 Mexico53 7 United States47 8 China41 9 Poland33 10 Indonesia21 11 Zambia21 12 Kazakhstan20 13 Canada7 14 India2 -- Other countries210 -- World total (rounded)980 Chile’s reserves account for about 18% of the global total, reinforcing its position as the world’s top producer. These vast deposits, particularly in the Atacama Desert, have made Chile central to global copper supply chains. Australia and Peru also have significant reserves, but are in a distinct second tier behind Chile. Reserves Are Concentrated in a Few Regions Copper reserves are highly concentrated: the top five countries—Chile, Australia, Peru, the DRC, and Russia—hold more than half of the world’s known supply. Australia holds about 100 million tonnes, while Peru, the Democratic Republic of the Congo, and Russia each have between 80–85 million tonnes. Latin America and resource-rich regions in Africa and Eurasia dominate the list. How Reserves Compare to Historical Production Humanity has mined over 700 million tonnes of copper throughout history, yet nearly 1 billion tonnes remain in known reserves. This highlights both the scale of remaining resources and the challenge of extracting them economically. However, much of this remaining copper is harder and more expensive to extract. As demand accelerates, especially from electrification and energy systems, the gap between supply and future needs could become a defining challenge for the global economy. Learn More on the Voronoi App If you enjoyed today’s post, check out Visualizing the Growth of Chinese Copper Miners on Voronoi, the new app from Visual Capitalist.

Use This Visualization Ranked: The Companies That Sell the Most AI Chips See visuals like this from many other data creators on our Voronoi app. Download it for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources. Key Takeaways Nvidia supplied nearly two-thirds of AI compute capacity in Q4 2025, far ahead of all rivals combined. Google ranked a distant second, with less than one-third of Nvidia’s output. AMD, Amazon, and Huawei form a smaller second tier, highlighting how concentrated AI compute remains. Nvidia’s grip on the AI boom remains overwhelming. In Q4 2025, the company shipped nearly two-thirds of all measured AI compute capacity—more than its closest competitors combined. While Google, Amazon, and others are scaling up their own chips, the gap between first and second place remains striking. This visualization, part of Visual Capitalist’s AI Week sponsored by Terzo, ranks the world’s largest AI chip designers using data from Epoch AI’s Chip Sales database, which estimates compute capacity across leading architectures. The Biggest AI Chip Sellers Even as more companies entered the AI chip market, one still towered over the rest in Q4 2025: Nvidia. To make different chips comparable, the data is converted into “H100 equivalents”—a standardized measure based on Nvidia’s flagship AI GPU. RankManufacturerQ4 2025 Chip Sales (H100 equivalents) 1Nvidia2,957,362 2Google976,313 3AMD226,485 4Amazon221,354 5Huawei131,964 Nvidia didn’t just lead—it dominated. Its 2.96 million H100-equivalent shipments in Q4 2025 exceeded the combined total of every other company in this ranking. AMD (226k) and Amazon (221k) formed a much smaller second tier, followed by Huawei (132k). Together, the rankings show that while the market is broadening, AI compute shipments remain highly concentrated at the top. As demand for AI infrastructure accelerates, the key question is whether competitors can meaningfully close this gap or whether Nvidia’s early lead will translate into long-term dominance of the AI stack. What H100 Equivalent Compute Measures This chart measures compute capacity, not units sold or revenue. Epoch AI defines H100e as H100-equivalent compute capacity, converting each chip’s peak dense 8-bit operations into the equivalent number of Nvidia H100 GPUs. Epoch AI uses this measure because it is more intuitive than citing raw operations per second across different chip families. Still, the firm notes that H100e is an imperfect proxy, since real-world performance also depends on factors like memory bandwidth, software ecosystems, and how chips are networked into servers and clusters. Inside the Methodology These figures are estimates rather than exact reported sales. Epoch AI says chipmakers do not consistently disclose precise volumes, and most of its uncertainty ranges span roughly a factor of 2x around the median estimate. The dataset also does not track all AI chip production. Instead, it focuses on the largest designers of dedicated AI accelerators—Nvidia, Google, Amazon, AMD, and Huawei—which Epoch AI says account for the large majority of global AI compute capacity. Learn More on the Voronoi App If you enjoyed today’s post, check out The Global Semiconductor Industry, by Market Cap on Voronoi.  

See more visualizations like this on the Voronoi app. Use This Visualization Mapped: Where Americans Spend the Most on Gas See visuals like this from many other data creators on our Voronoi app. Download it for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources. Key Takeaways Americans can spend more than 2x as much on gas per month depending on where they live. Longer driving distances—not just gas prices—are the biggest driver of higher monthly costs. Wyoming drivers face the highest monthly costs ($279), while New York drivers pay the least ($132). Gas prices may grab headlines, but they don’t tell the full story of what Americans actually spend to fuel their cars. This map estimates monthly gas costs by state using April 15, 2026 fuel prices and average driving distances from the Federal Highway Administration, via FinanceBuzz. The key pattern: distance drives cost. In lower-density states, longer commutes push monthly spending far above the national average, while dense Northeast states benefit from shorter trips and significantly lower fuel bills. Ranked: Monthly Gas Cost by State The table below shows estimated monthly gas costs, based on April 15, 2026 fuel prices by state, average miles driven per driver, and a fuel efficiency of 25.6 miles per gallon. RankStateAvg. Monthly SpendPrice of Gas (Apr 15th)Annual Miles Per Driver 1Wyoming$279$3.8921,986 2Indiana$244$3.8819,296 3Mississippi$243$3.7419,910 4New Mexico$236$3.9618,321 5Missouri$228$3.6719,049 6California$225$5.8811,780 7Alabama$221$3.8417,728 8Utah$216$4.2115,725 9Kentucky$212$3.9816,330 10Tennessee$208$3.8616,558 11Idaho$207$4.3414,643 12North Dakota$207$3.6217,560 13Nevada$205$4.9612,716 14Arkansas$205$3.6517,287 15Arizona$205$4.6613,501 16Hawaii$204$5.6511,115 17Oklahoma$202$3.4418,031 18Georgia$201$3.6816,763 19Louisiana$201$3.7516,452 20Montana$200$3.9015,775 21Vermont$200$4.0915,048 22Texas$198$3.7716,125 23Oregon$195$5.0012,016 24Virginia$192$3.9714,877 25Wisconsin$192$3.7815,580 26Florida$191$4.1514,179 27North Carolina$191$3.8615,198 28South Carolina$186$3.7915,075 29Maine$186$4.0214,185 30South Dakota$185$3.6815,424 31Kansas$182$3.5115,941 32West Virginia$180$3.9314,091 33Nebraska$179$3.6315,157 34Washington$178$5.3910,125 35Maryland$177$4.1013,228 36Illinois$173$4.3612,154 37Minnesota$172$3.7114,272 38Alaska$169$4.6411,173 39Iowa$167$3.6514,077 40Ohio$165$3.8013,345 41Michigan$165$3.9212,906 42New Hampshire$161$3.9612,511 43Massachusetts$161$3.9712,472 44Colorado$160$3.9612,426 45Connecticut$159$4.0811,974 46Pennsylvania$151$4.1311,189 47New Jersey$150$4.0011,536 48Delaware$140$3.9710,854 49Rhode Island$135$3.9710,411 50New York$132$4.139,815 -- U.S. State Average$190$4.0714,558 Drivers in the most expensive states spend more than twice as much per month on gas as those in the cheapest—driven largely by how far they travel, not just fuel prices. Wyoming drivers face the highest monthly gas costs, at $279. Wyoming drivers log over 1,830 miles per month—more than 50% above the U.S. average—making distance the primary driver of their higher fuel costs. In contrast, New York drivers spend $132 per month, the least nationwide. Given its high density, drivers average 817 miles per month on the road, the lowest overall. A cluster of Northeast states follow, including Rhode Island ($135), and Delaware ($140), all with low mileage rates. The gap shows that where you live can matter more than gas prices themselves when it comes to monthly fuel costs. Why This Matters Ultimately, gas prices tell only part of the story. For many Americans, especially in rural states, distance—not price—is the biggest driver of fuel costs. That means even if gas prices fall, millions could still face high monthly bills simply because of how far they need to travel. From dense Northeast states to wide-open Western regions, where you live can mean paying thousands more per year just to get around. And with gas prices still volatile in 2026, that gap could widen even further. Learn More on the Voronoi App To learn more about this topic, check out this graphic on the most reliable used-car brands in America.

See more visualizations like this on the Voronoi app. Where Populations Are Booming and Shrinking by 2050 See visuals like this from many other data creators on our Voronoi app. Download it for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources. Key Takeaways Sub-Saharan Africa is set to drive the majority of global population growth through 2050. Several major economies—including China, Japan, and much of Europe—are projected to shrink. The Democratic Republic of Congo could nearly double its population, the fastest growth globally. The world’s population is projected to grow by 1.4 billion people by 2050—but that growth is becoming increasingly concentrated in a handful of regions. Using data from the United Nations’ World Population Prospects 2024, this map shows where populations are rising fastest—and where they are entering long-term decline. The contrast is stark: parts of sub-Saharan Africa are set to nearly double in size, while several of the world’s largest economies are projected to shrink significantly. These shifts will reshape labor markets, economic growth, and global influence over the coming decades. The Fastest-Growing Countries in the World The most dramatic population increases are concentrated in sub-Saharan Africa, where several countries are on track to nearly double in size by 2050. The Democratic Republic of Congo leads globally, with its population projected to surge by over 100 million people (+93%). Close behind are countries like Niger, Angola, and Somalia. The table below shows population forecasts across 195 countries worldwide: RankCountryPopulation 2025 (M)Population 2050 (M)Change 2020-2025% Change 2020-2025 1 DR Congo112.8218.2+105.4M93.4% 2 Central African Republic5.510.6+5.1M92.6% 3 Angola3974.3+35.3M90.3% 4 Somalia19.737.2+17.6M89.3% 5 Niger27.952.5+24.6M88.1% 6 Chad2138.9+17.9M85.0% 7 Tanzania70.5129.6+59.1M83.7% 8 Mali25.246.2+21.0M83.2% 9 Mozambique35.663.5+27.9M78.3% 10 Mauritania5.39.4+4.1M77.1% 11 Afghanistan43.876.9+33.0M75.4% 12 Zambia21.938.1+16.2M73.8% 13 Cameroon29.951.1+21.2M71.0% 14 Cote d'Ivoire32.755.7+23.0M70.4% 15 Yemen41.871+29.2M69.9% 16 Congo6.511+4.5M69.7% 17 Malawi22.237.4+15.1M68.2% 18 Burundi14.424.1+9.7M67.7% 19 Uganda51.485.4+34.0M66.3% 20 Ethiopia135.5225+89.5M66.1% 21 Sudan51.785.2+33.5M64.9% 22 Benin14.824.4+9.6M64.9% 23 Madagascar32.753.2+20.4M62.4% 24 Equatorial Guinea1.93.1+1.2M62.2% 25 Senegal18.930.4+11.4M60.4% 26 Togo9.715.6+5.9M60.3% 27 Vanuatu0.30.5+199K59.4% 28 Eritrea3.65.7+2.1M57.9% 29 Gabon2.64.1+1.5M57.5% 30 Solomon Islands0.81.3+470K56.1% 31 Rwanda14.622.7+8.1M55.9% 32 Liberia5.78.9+3.2M55.5% 33 Burkina Faso24.137.3+13.2M55.0% 34 Guinea15.123.4+8.3M55.0% 35 Iraq4771.9+24.9M53.0% 36 Guinea-Bissau2.23.4+1.2M52.9% 37 Zimbabwe1725.9+8.9M52.6% 38 Gambia2.84.3+1.5M52.4% 39 Sao Tome and Principe0.20.4+125K52.0% 40 Nigeria237.5359.2+121.7M51.2% 41 Palestine5.68.5+2.9M51.2% 42 South Sudan12.218.3+6.2M50.5% 43 Comoros0.91.3+425K48.1% 44 Syria25.637.8+12.2M47.5% 45 Sierra Leone8.812.9+4.1M46.8% 46 Namibia3.14.5+1.4M45.9% 47 Pakistan255.2371.9+116.6M45.7% 48 Kenya57.583.6+26.1M45.3% 49 Tajikistan10.815.6+4.8M44.4% 50 Ghana35.150.6+15.5M44.2% 51 Vatican City0.0010.00121342.5% 52 Oman5.57.8+2.3M42.4% 53 Jordan11.516.4+4.8M42.1% 54 Uzbekistan37.152.2+15.2M40.9% 55 Papua New Guinea10.814.9+4.1M38.5% 56 Saudi Arabia34.647.7+13.1M38.0% 57 Israel9.513.1+3.6M37.6% 58 Egypt118.4161.6+43.3M36.6% 59 United Arab Emirates11.315.4+4.0M35.4% 60 Honduras1114.8+3.8M34.9% 61 Botswana2.63.4+875K34.2% 62 Kiribati0.10.2+46.1K33.8% 63 Qatar3.14.2+1.0M33.7% 64 Timor-Leste1.41.9+471K33.2% 65 Kyrgyzstan7.39.6+2.3M32.2% 66 Guatemala18.724.7+6.0M32.0% 67 Nauru00+3.7K31.0% 68 Bahrain1.62.1+496K30.2% 69 Djibouti1.21.5+346K29.3% 70 Bolivia12.616.1+3.5M28.0% 71 Mongolia3.54.5+984K28.0% 72 Kazakhstan20.826.5+5.7M27.3% 73 Kuwait56.4+1.3M26.7% 74 Lesotho2.43+630K26.6% 75 Turkmenistan7.69.6+2.0M26.5% 76 Algeria47.459.6+12.1M25.6% 77 Nicaragua78.8+1.7M25.0% 78 Samoa0.20.3+53.4K24.4% 79 Libya7.59.3+1.8M24.2% 80 Laos7.99.8+1.9M23.9% 81 Haiti11.914.7+2.8M23.6% 82 Paraguay78.6+1.6M23.2% 83 Panama4.65.6+1.1M23.2% 84 Malaysia3644.3+8.3M23.1% 85 Cambodia17.821.9+4.1M22.9% 86 South Africa64.779.2+14.4M22.3% 87 Bangladesh175.7214.7+39.0M22.2% 88 Belize0.40.5+93.7K22.2% 89 Australia2732.5+5.5M20.5% 90 Eswatini1.31.5+249K19.8% 91 Lebanon5.87+1.1M19.7% 92 Peru34.640.6+6.0M17.4% 93 Nepal29.634.6+5.0M17.0% 94 Ecuador18.321.3+3.0M16.7% 95 Luxembourg0.70.8+111K16.3% 96 Philippines116.8134.4+17.6M15.1% 97 India1,463.901,679.60+215.7M14.7% 98 Suriname0.60.7+94.1K14.7% 99 Canada40.145.6+5.5M13.7% 100 Morocco38.443.4+5.0M13.0% 101 Mexico131.9148.9+17.0M12.9% 102 Dominican Republic11.513+1.5M12.8% 103 Ireland5.36+662K12.5% 104 Guyana0.80.9+105K12.5% 105 Indonesia285.7320.7+35.0M12.2% 106 Maldives0.50.6+60.3K11.4% 107 Brunei0.50.5+53.2K11.4% 108 Colombia53.459.4+6.0M11.2% 109 Micronesia0.10.1+12.7K11.2% 110 Bhutan0.80.9+85.7K10.8% 111 Iran92.4101.9+9.4M10.2% 112 Cyprus1.41.5+138K10.0% 113 United States347.3380.8+33.6M9.7% 114 New Zealand5.35.8+503K9.6% 115 Venezuela28.531.1+2.6M9.0% 116 Iceland0.40.4+34.7K8.7% 117 United Kingdom69.675.5+6.0M8.6% 118 Vietnam101.6110+8.4M8.3% 119 Azerbaijan10.411.2+827K8.0% 120 Cabo Verde0.50.6+38.8K7.4% 121 Fiji0.91+67.1K7.2% 122 Liechtenstein00+2.9K7.2% 123 Myanmar54.958.6+3.8M6.9% 124 Sri Lanka23.224.8+1.6M6.8% 125 Seychelles0.10.1+9.0K6.8% 126 Tunisia12.313.1+797K6.5% 127 Sweden10.711.3+653K6.1% 128 Argentina45.948.3+2.5M5.4% 129 Bahamas0.40.4+21.2K5.3% 130 Norway5.65.9+277K4.9% 131 El Salvador6.46.7+298K4.7% 132 Switzerland99.3+375K4.2% 133 Turkey87.791.3+3.6M4.1% 134 Costa Rica5.25.4+201K3.9% 135 Singapore5.96.1+211K3.6% 136 Netherlands18.319+612K3.3% 137 Tuvalu00.012893.0% 138 France66.768.2+1.6M2.4% 139 Chile19.920.3+460K2.3% 140 Brazil212.8217.5+4.7M2.2% 141 Denmark66.1+122K2.0% 142 Tonga0.10.1+1.5K1.4% 143 Belgium11.811.9+112K1.0% 144 Antigua and Barbuda0.10.18460.9% 145 San Marino0.0340.0341240.4% 146 Andorra0.0830.082-709-0.9% 147 Malta0.550.54-9.7K-1.8% 148 North Korea26.625.8-784K-3.0% 149 Grenada0.120.11-4.1K-3.5% 150 Georgia3.83.7-143K-3.7% 151 Uruguay3.43.3-130K-3.9% 152 Monaco0.040-1.6K-4.1% 153 Dominica0.070.06-2.7K-4.1% 154 Austria9.18.7-389K-4.3% 155 Saint Lucia0.180.17-8.1K-4.5% 156 Finland5.65.4-272K-4.8% 157 Russia144136.1-7.9M-5.5% 158 Saint Kitts and Nevis0.050.04-2.7K-5.7% 159 Portugal10.49.8-642K-6.2% 160 Spain47.944.9-3.0M-6.2% 161 Slovenia2.12-136K-6.4% 162 Barbados0.280.26-18.4K-6.5% 163 Germany84.178.3-5.8M-6.9% 164 Thailand71.666.4-5.2M-7.3% 165 Trinidad and Tobago1.51.4-111K-7.4% 166 Czechia10.69.8-784K-7.4% 167 Hungary9.68.7-907K-9.4% 168 Slovakia5.54.9-538K-9.8% 169 Saint Vincent and the Grenadines0.10.09-11.0K-11.0% 170 China1,416.101,260.30-155.8M-11.0% 171 Greece9.98.8-1.1M-11.3% 172 Palau0.020.02-2.1K-12.1% 173 Italy59.151.9-7.3M-12.3% 174 Estonia1.31.2-170K-12.6% 175 South Korea51.745.1-6.5M-12.6% 176 Mauritius1.31.1-161K-12.7% 177 Jamaica2.82.5-382K-13.5% 178 Poland38.132.8-5.3M-14.0% 179 Cuba10.99.4-1.6M-14.2% 180 Japan123.1105.1-18.0M-14.6% 181 Romania18.916-2.9M-15.2% 182 Armenia32.5-457K-15.5% 183 Montenegro0.630.53-99.4K-15.7% 184 Croatia3.83.2-614K-16.0% 185 North Macedonia1.81.5-301K-16.6% 186 Belarus97.5-1.5M-17.2% 187 Serbia6.75.5-1.2M-17.3% 188 Ukraine3932-7.0M-17.9% 189 Latvia1.91.5-340K-18.3% 190 Albania2.82.2-531K-19.2% 191 Bulgaria6.75.4-1.3M-19.5% 192 Lithuania2.82.3-571K-20.2% 193 Moldova32.4-644K-21.5% 194 Bosnia and Herzegovina3.12.5-685K-21.8% 195 Marshall Islands0.040.03-11.1K-30.6% All 10 of the fastest-growing sovereign states are in sub-Saharan Africa, where fertility remains high and child mortality has fallen sharply—a demographic lag that East Asia passed through decades ago. This surge will place increasing pressure on infrastructure, education systems, and job markets, while also creating opportunities for economic expansion. Where Populations Are Shrinking the Fastest At the other end of the spectrum, several major economies are entering sustained population decline—driven by low birth rates and aging populations. China alone is projected to lose more than 150 million people by 2050, while Japan, Italy, and Russia are also facing steep contractions. This shift could have significant implications for economic growth, labor supply, and public finances. Overall, European countries make up 11 of the 20 largest absolute declines. Even Thailand is projected to shrink by 4.2 million people, highlighting how population decline is spreading beyond traditionally aging regions. Like many countries in East Asia, Thailand faces persistently low fertility rates (around 1.2 births per woman) and a rapidly aging population. By mid-century, global population trends will be defined less by overall growth and more by divergence. A small group of countries will account for the vast majority of new people, while many others shrink. This widening gap between fast-growing and shrinking populations is set to reshape migration flows, economic power, and the global workforce over the coming decades. Learn More on the Voronoi App To learn more about this topic, check out this graphic on the countries with the most births per hour.

Published 6 hours ago on April 22, 2026 By Julia Wendling Twitter Facebook LinkedIn Reddit Pinterest Email The following content is sponsored by Adobe AI Use by Students Across Major Economies     Key Takeaways Brazil (11.6%) and India (11.5%) lead global student AI adoption. India’s young population supports stronger uptake than many developed peers. Adoption gaps persist, with the UK (4.6%) and Japan (5.6%) trailing significantly. Student AI use is becoming increasingly common in classrooms worldwide, reshaping how students complete assignments, conduct research, and manage workloads. New data from Adobe Digital Insights (September 2025) highlights how student AI use for schoolwork varies significantly across major economies. This visualization, created in partnership with Adobe, highlights global trends in student AI use and marks the third post in our series on AI use in India. While usage rates remain relatively close among top countries, a clear gap is emerging between early adopters and slower-moving markets. This points to broader differences in digital readiness and education systems. Leaders in Student AI Use: Brazil and India Set the Pace Brazil leads globally, with 11.6% of students using AI for schoolwork, closely followed by India at 11.5% and Italy at 11.1%. Canada (10.6%) and the United States (9.9%) also rank among the top adopters, showing that AI is gaining traction across both emerging and developed economies. CountryStudent AI Use Brazil11.6% India11.5% Italy11.1% Canada10.6% United States9.9% Germany8.8% France7.4% Japan5.6% United Kingdom4.6% India is particularly notable in student AI use given its demographic advantage. With a median age of just 30, it has one of the youngest populations among major economies, helping drive faster adoption of AI study tools. School and university students across India are already using AI assistants for homework and revision, turning this youth-driven familiarity with technology into a tangible academic edge. Lower Adoption Markets: Developed Markets Fall Behind At the lower end of the spectrum, student AI use is notably weaker in advanced economies such as the United Kingdom (4.6%) and Japan (5.6%). These countries fall well behind the global leaders, highlighting a clear adoption gap. Even mid-tier adopters like France (7.4%) and Germany (8.8%) lag behind top performers. This disparity may reflect stricter academic policies, slower institutional adoption, or cultural hesitancy toward AI in education. These factors could impact long-term digital competitiveness. From AI Adoption to AI Study Tools As student AI use grows globally, tools that bridge casual usage and focused learning will define which students stay ahead. They need purpose-built AI tools for students that turn course materials into real learning outcomes. For students in high-adoption markets like India and Brazil, the next step is turning that AI familiarity into real academic advantage.  Free AI study tools like Adobe Acrobat Student Spaces let students upload class notes and instantly generate flashcards, quizzes, study guides, and even audio summaries, turning scattered materials into a structured study hub. As AI adoption grows globally, tools that bridge casual usage and focused learning will define which students stay ahead. Explore AI-powered Document Workflows. You may also like AI4 weeks ago India on Top: AI Adoption by Country India’s tech-savvy workforce is leading the world in AI adoption, fueling the next wave of economic growth. AI1 month ago How AI Could Add $600B to India’s Economy by 2035 India’s AI boom is poised to reshape its economy, with AI expected to boost productivity by between $550B and $607B by 2035. Subscribe Please enable JavaScript in your browser to complete this form.Join 375,000+ email subscribers: *Sign Up

Use This Visualization Ranked: The World’s Biggest Memory Chip Makers See visuals like this from many other data creators on our Voronoi app. Download it for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources. Key Takeaways Memory maker valuations have risen sharply as AI server demand tightened supply, with Samsung at $897B, SK Hynix at $498B, and Micron at $481B in market cap. Below the top three, valuations drop off quickly, with Sandisk at $141B and Kioxia at $107B, showing how concentrated the memory chip market remains. As AI infrastructure expands, memory chips are becoming one of the most strategically important parts of the semiconductor stack. Memory chip makers’ market capitalizations have surged as AI infrastructure spending reshapes the semiconductor industry. This visualization is part of Visual Capitalist’s AI Week, sponsored by Terzo. It ranks the world’s publicly traded DRAM and NAND producers using data from CompaniesMarketCap and StockAnalysis. Samsung Is the World’s Biggest Memory Maker The data of memory chip maker valuations shows an industry that has rebounded sharply as AI server buildouts drive memory demand higher. The data below shows the world’s leading publicly traded memory chip makers by market cap: CompanyMarket Capitalization (Billions, USD)CountryMemory Type Samsung897.3 South KoreaBoth (DRAM + NAND) SK Hynix498.4 South KoreaBoth (DRAM + NAND) Micron481.0 United StatesBoth (DRAM + NAND) Sandisk140.6 United StatesNAND Kioxia106.8 JapanNAND Nanya22.1 TaiwanDRAM Winbond13.4 TaiwanBoth (DRAM + NAND) Macronix8.6 TaiwanNAND Powerchip Semiconductor Manufacturing7.3 TaiwanDRAM Samsung ranks first by a wide margin, with a market capitalization of $897 billion. SK Hynix ($498B) and Micron ($481B) follow close behind, forming a clear top tier among memory producers. Further down the ranking, Sandisk ($141B) and Kioxia ($107B) stand out as sizable second-tier players. Four Taiwanese companies round out the list, Nanya ($22B), Winbond ($13B), Macronix ($9B), and Powerchip Semiconductor Manufacturing ($7B). Why Memory Stocks Have Climbed Memory prices jumped in 2025 as suppliers kept output disciplined while AI server demand tightened supply. That combination helped lift both pricing power and investor expectations for memory producers. Several names on the list posted especially dramatic gains. Nanya rose 560%, Sandisk climbed 559%, and Kioxia advanced 536%, while Winbond, SK Hynix, and Micron also saw major stock gains. 2026 has seen share prices continue to rise for memory makers. Samsung is already up 80% as of April 17, while SK Hynix is up 73% and Micron is up 59%. What DRAM and NAND Memory Actually Do DRAM is short-term working memory that holds the data apps need right now, but clears when power is off. NAND is long-term storage memory that keeps files and software even when a device is shut down. Both are essential to modern computing, but AI data centers are making high-performance memory even more strategically important. As a result, memory chip makers are increasingly tied not just to consumer electronics cycles, but also to the buildout of AI data centers. Learn More on the Voronoi App If you enjoyed today’s post, check out Comparing Major American Chipmakers in One Chart on Voronoi.  

See more visualizations like this on the Voronoi app. Use This Visualization How Much U.S. Population Growth Comes From Immigration See visuals like this from many other data creators on our Voronoi app. Download it for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources. Key Takeaways Immigration accounted for 81% of U.S. population growth from 2021–2025. In 14 states, it drove 100% of growth, fully offsetting domestic losses. Without immigration, many states would be shrinking in population. Immigration is now the primary engine of U.S. population growth, and in some places, the only one. From 2021 to 2025, over four out of every five new U.S. residents came from international migration, according to data from the Harvard University Joint Center for Housing Studies. In 14 states, immigration accounted for 100% of population gains, meaning growth would have been negative without it. This map shows how much each state relies on immigration, revealing a divide between states gaining residents organically and those sustained almost entirely by global inflows. Where Immigration Is the Only Source of Growth In many states, population growth depends entirely on immigration. This table shows immigration’s share of population change by state from 2021–2025. If immigration exceeds total population growth, the share is capped at 100%: StateNet International Immigration’sShare of Population Growth2021–2025Total PopulationChange2021-2025 Alaska100%4,364 Connecticut100%108,853 District of Columbia100%22,687 Kansas100%38,946 Maryland100%86,960 Massachusetts100%168,764 Michigan100%55,590 New Jersey100%277,739 New Mexico100%7,052 Ohio100%101,976 Oregon100%30,042 Pennsylvania100%63,856 Rhode Island100%18,034 Vermont100%1,698 Iowa95%47,306 Wisconsin89%75,416 Virginia85%242,804 Kentucky83%98,593 Minnesota81%119,843 Washington81%274,208 Nebraska74%54,688 North Dakota66%19,746 Indiana64%183,043 Florida60%1,871,193 Missouri60%115,467 Colorado58%225,688 Maine42%50,328 Nevada42%165,337 Georgia41%570,153 Texas41%2,471,926 Arizona37%437,171 Alabama34%160,126 New Hampshire33%36,590 Oklahoma33%158,045 Utah33%254,934 Arkansas32%100,392 North Carolina31%747,753 Tennessee30%387,340 Delaware29%68,062 South Dakota27%47,286 Wyoming24%11,084 South Carolina20%438,282 Idaho13%180,405 Montana8%57,538 CaliforniaN/A (Population Decline)-172,499 HawaiiN/A (Population Decline)-18,310 IllinoisN/A (Population Decline)-76,207 LouisianaN/A (Population Decline)-33,956 MississippiN/A (Population Decline)-4,225 New YorkN/A (Population Decline)-119,835 West VirginiaN/A (Population Decline)-25,523 Florida and Texas led the nation in population growth, but for different reasons. Both gained more than one million international migrants between 2021 and 2025. But their growth drivers differ. Florida combined strong immigration with large domestic inflows, despite negative natural change. Texas saw growth across all fronts, including a strong natural increase. This contrast highlights a broader trend. While every state recorded net international migration during this period, many also faced domestic outflows or aging populations. In fact, 25 states saw net domestic outflows, while 21 recorded more deaths than births, making immigration the decisive factor separating growth from decline. Texas added over 691,000 people through natural growth alone, more than California and New York combined. When Growth Isn’t Enough: The California Example California highlights the imbalance: despite nearly one million international arrivals and more births than deaths, the state still saw overall population decline driven by domestic outflows. Seven states in total lost population over this period, underscoring how internal migration can outweigh both natural change and immigration. The Future of Immigration and U.S. Population Growth A sharp slowdown could reshape this map. In 2026, U.S. immigration is expected to fall to 321,000, less than a fifth of the level seen in 2025. At the same time, natural population change is projected to remain flat. For states highly dependent on immigration, this may mean slower growth or even population decline. Over the past five years, six states, including Oregon and Michigan, experienced both domestic outmigration and negative natural change, leaving immigration as their primary source of growth. States where immigration plays the largest role in population gains are also the most exposed to a slowdown, with potential ripple effects across: Tax receipts Consumer spending Housing demand Labor force growth As natural growth fades, migration, both domestic and international, will determine which states continue to grow and which begin to fall behind. Learn More on the Voronoi App To learn more about this topic, check out this graphic on America’s fastest-growing states from 2025 to 2050.

See more visuals like this on the Voronoi app. Use This Visualization Ranked: Education Spending Per Student by Country See visuals like this from many other data creators on our Voronoi app. Download it for free on iOS or Android and discover data-driven charts from a variety of trusted sources. Key Takeaways Luxembourg spends over $31,000 per student, far ahead of every other country. Most advanced economies cluster between $18,000 and $21,000 per student. Spending falls below $6,000 in major economies like China, Türkiye, and Mexico. Education spending per student varies widely across countries, reflecting differences in national priorities and resources. At the top of the ranking, Luxembourg stands alone, spending far more per student than any other country. Beyond this upper tier, spending levels diverge quickly across both advanced and emerging economies. This chart ranks countries by annual education spending per student, using PPP-adjusted data from the OECD’s Education at a Glance 2025. These differences influence everything from class sizes and teacher pay to access to technology and higher education outcomes. Top Spenders Cluster in Europe and North America Luxembourg stands far above all peers, spending over $31,000 per student, nearly $9,000 more than second-place Norway and several times higher than lower-ranked countries. The country also leads in teacher salaries. RankCountryExpenditure per student (in USD PPP) 1 Luxembourg31,439 2 Norway22,558 3 Austria20,942 4 United States20,387 5 South Korea19,805 6 Denmark19,229 7 Netherlands19,186 8 United Kingdom19,072 9 Belgium19,024 10 Canada18,733 11 Iceland18,707 12 Germany17,960 13 Sweden17,804 14 Australia17,529 15 Ireland15,915 16 France15,427 17 OECD average15,023 18 Finland15,000 19 Slovenia14,454 20 Japan14,130 21 Italy13,750 22 Spain13,385 23 Portugal12,956 24 Israel12,877 25 Czechia12,844 26 New Zealand12,389 27 Estonia12,362 28 Poland11,488 29 Lithuania11,313 30 Slovakia11,259 31 Hungary10,097 32 Latvia9,204 33 Croatia9,033 34 Bulgaria8,703 35 Chile8,068 36 Romania7,221 37 Greece7,137 38 Türkiye5,305 39 China5,161 40 South Africa4,395 41 Mexico4,066 42 Peru2,612 --OECD Average15,022 The U.S. and several Western European countries also rank near the top, typically spending between $18,000 and $21,000. These high levels reflect both strong public funding and the higher costs of education systems. Canada and the United Kingdom also fall within this upper tier, underscoring consistent investment across advanced economies. OECD Average Masks Wide Gaps While the OECD average is about $15,000 per student, most countries fall far from this midpoint, clustering either well above it in Western Europe and North America or far below it in emerging economies. Countries like Japan, Italy, and Spain fall below the average despite being advanced economies. Meanwhile, emerging European economies such as Poland and Hungary spend closer to $10,000–$11,000. Spending Drops Sharply Outside Advanced Economies Outside the OECD’s highest spenders, education investment drops off rapidly. Türkiye and China spend just over $5,000 per student, while Mexico and South Africa are closer to $4,000. Peru sits at the bottom of the ranking at roughly $2,600 per student. Learn More on the Voronoi App If you enjoyed today’s post, check out Comparing Education Levels Across 45 Countries on Voronoi, the new app from Visual Capitalist.

Charted: Compute Costs More Than Talent in AI See visuals like this from many other data creators on our Voronoi app. Download it for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources. Key Takeaways Compute is the largest cost for all three AI firms in the dataset, accounting for 57% to 70% of total spending. At Anthropic, compute spending reaches $6.8 billion in 2025 across model training and inference. In this dataset, compute costs exceed staff and other expenses, highlighting how infrastructure—not talent—drives AI spending. For leading AI companies, the biggest expense is not talent. It is compute. This chart from Visual Capitalist’s AI Week, sponsored by Terzo, uses Epoch AI data to compare spending at Anthropic, Minimax, and Z.ai across R&D compute, inference compute, and staff plus other costs. In every case, compute accounts for the majority of total spending, underscoring how capital-intensive it has become to build and serve frontier AI models. How AI Company Costs Break Down Despite differences in scale, all three companies allocate the largest share of their budgets to a single category: compute. The data below compares spending composition across Anthropic, Minimax, and Z.ai. Anthropic’s figures are for 2025, while Minimax’s are from Q1 to Q3 of 2025 and Z.ai’s are for H1 2025. Costs CategoryAnthropicMinimaxZ.ai R&D Compute (Billions, USD)4.100.140.18 Inference Compute (Billions, USD)2.700.040.01 Staff and Other (Billions, USD)2.900.140.12 Total (Billions, USD)9.700.320.31 R&D Compute Share42%44%58% Inference Compute Share28%13%3% Staff and Other Share30%44%39% Across all three AI companies, compute is the main cost center. Epoch AI estimates that R&D compute and inference compute together account for 57% to 70% of total spending, making infrastructure more expensive than staff and other costs in every case. Among the three, Z.ai has the most R&D-heavy profile, with 58% of spending tied to compute powering model development and training. Anthropic stands out for sheer scale. Epoch AI estimates the company spent $9.7 billion in 2025, including $6.8 billion on compute alone across training and inference. Its costs are significantly higher than Minimax’s and Z.ai’s, even if the two Chinese AI companies’ figures were annualized to match Anthropic’s full-year period. Both Chinese companies release many of their models as open source, meaning the model weights are freely available for anyone to download, modify, and run. This strategy helps them compete with better-funded U.S. labs by building developer adoption at a fraction of the cost. AI Talent Costs Less Than Chips and Compute One of the clearest takeaways is that talent costs less than compute in this comparison. Even though top AI labs pay some of the highest salaries in tech, staff and other costs still account for less than half of total spending at each of the three firms. While the chart focuses on costs, Epoch AI estimates these labs are currently spending around 2–3x more than they generate in revenue, even as some expect economics to improve over time. How These Estimates Were Built This dataset comes with a few important caveats. Anthropic’s figures are based on reporting from The Information and are more speculative, while Minimax and Z.ai figures come from IPO filings released in January 2026. The time periods also differ: Anthropic data is for the full year of 2025, Minimax covers 2025 Q1–Q3, and Z.ai covers 2025 H1. Epoch AI says its expense totals include operating expenses, cost of goods and services, and non-cash items such as stock-based compensation. Learn More on the Voronoi App If you enjoyed today’s post, check out The Soaring Revenues of AI Companies on Voronoi.

Use This Visualization Mapped: AI Adoption Across Europe See visuals like this from many other data creators on our Voronoi app. Download it for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources. Key Takeaways AI adoption is highest in Northern Europe, with Norway leading the continent at 56%. Major economies like Germany and the UK lag smaller countries, with only about one-third reporting recent use. Across Europe, the map shows a widening adoption gap as AI becomes mainstream faster in some countries than others. Artificial intelligence is spreading quickly across Europe, but adoption is not happening evenly. A clear divide is emerging between countries where AI is becoming mainstream and those where usage remains relatively low. This map from Visual Capitalist’s AI Week, sponsored by Terzo, shows the share of people in each European country who used AI in the last three months, based on data from Eurostat and IAB UK. AI Usage Across Europe Since the rollout of consumer AI tools in late 2022, Europe has begun to split into clear adoption tiers. Northern European countries dominate the top of the ranking, while several of the continent’s largest economies sit much lower. The table below shows the share of people in each country who report using AI tools within the last three months. RankCountryIndividuals using AI tools (%) 1 Norway56.3 2 Denmark48.4 3 Switzerland47.0 4 Estonia46.6 5 Malta46.5 6 Finland46.3 7 Ireland44.9 8 Netherlands44.7 9 Cyprus44.2 10 Greece44.1 11 Luxembourg42.5 12 Belgium42.0 13 Sweden42.0 14 Austria39.4 15 Portugal38.7 16 Spain37.9 17 Slovenia37.6 18 France37.5 19 Lithuania36.9 20 Czechia35.4 21 UK34.3 22 Latvia33.4 23 EU32.7 24 Germany32.3 25 Slovakia30.8 26 Hungary29.6 27 Croatia27.5 28 Poland22.7 29 Bulgaria22.5 30 North Macedonia22.0 31 Bosnia & Herzegovina20.3 32 Italy19.9 33 Turkey18.6 34 Romania17.8 Eurostat data shows Northern Europe leading the way. Norway ranks first at (56%), followed by Denmark at 48% and Finland at 46%, suggesting AI has already entered the mainstream for a large share of people in these countries. At the other end of the spectrum, adoption remains far lower in parts of southeastern Europe. Romania ranks last, with fewer than one in five people reporting recent AI use Mixed Results in the Mediterranean Across Southern Europe, results varied immensely, with Italy (20%) and even Turkey (19%) seeing less than half the usage reported by their counterparts in Cyprus or Greece (both 44%), to say nothing of Malta (47%). Meanwhile, the Iberian countries, Spain (38%) and Portugal (39%), reported mid-range figures in line with those seen in Western European peers like France and the United Kingdom. The high gaps in AI usage across the Mediterranean appears to cut across economic or developmental divides. Young People Leading the Way Younger people appear to be accelerating adoption further. In the UK, for example, overall recent AI use stands at 34%, but among those aged 15-24, 24% report using these tools daily. That points to a second divide beneath the country-level map: even where national adoption looks moderate, AI may already be deeply embedded among younger users in school and early-career workplaces. Learn More on the Voronoi App If you enjoyed today’s post, check out ChatGPT the Only Constant in an Evolving AI Landscape on Voronoi.