See more visualizations like this on the Voronoi app. Use This Visualization Visualizing the $117 Trillion World Economy in 2025 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 The U.S., China, and Germany are the top three countries by GDP in 2025. India ranks in fifth, averaging 6.4% in real GDP growth since 2000. America’s $30.6 trillion economy is greater than China, Germany, and Japan combined, with real GDP set to rise 2% this year. In comparison, India’s economy is projected to grow 6.6%, among the fastest rates across the world’s largest economies. It is only surpassed by Ireland, as frontloading of exports is expected to expand GDP by a striking 9.1% in 2025. This graphic shows the state of the world economy in 2025, based on projections from the IMF’s latest World Economic Outlook. Ranked: The Biggest Countries in the World Economy Below, we rank the 50 largest economies globally, highlighting their historical growth trends: RankCountryGDP 2025Real GDPGrowth2000-2025 CumulativeReal GDP Growth2000-2025Average AnnualReal GDP Growth 1 U.S.$30.6T2.0%69.0%2.1% 2 China$19.4T4.8%585.7%8.0% 3 Germany$5.0T0.2%27.8%1.0% 4 Japan$4.3T1.1%16.6%0.6% 5 India$4.1T6.6%364.1%6.4% 6 UK$4.0T1.3%44.6%1.5% 7 France$3.4T0.7%35.0%1.2% 8 Italy$2.5T0.5%9.8%0.4% 9 Russia$2.5T0.6%107.3%3.0% 10 Canada$2.3T1.2%59.4%1.9% 11 Brazil$2.3T2.4%75.1%2.3% 12 Spain$1.9T2.9%50.6%1.7% 13 Mexico$1.9T1.0%44.4%1.5% 14 South Korea$1.9T0.9%131.3%3.4% 15 Australia$1.8T1.8%92.7%2.7% 16 Türkiye$1.6T3.5%228.3%5.0% 17 Indonesia$1.4T4.9%233.4%4.9% 18 Netherlands$1.3T1.4%43.9%1.5% 19 Saudi Arabia$1.3T4.0%154.1%3.9% 20 Poland$1.0T3.2%138.5%3.6% 21 Switzerland$1.0T0.9%54.9%1.8% 22 Taiwan$884B3.7%144.2%3.7% 23 Belgium$717B1.1%46.4%1.6% 24 Ireland$709B9.1%243.3%5.2% 25 Argentina$683B4.5%54.2%1.9% 26 Sweden$662B0.7%56.8%1.8% 27 Israel$611B2.5%132.1%3.5% 28 Singapore$574B2.2%196.8%4.5% 29 UAE$569B4.8%155.9%3.9% 30 Austria$566B0.3%36.0%1.3% 31 Thailand$559B2.0%116.2%3.2% 32 Norway$517B1.2%47.5%1.6% 33 Philippines$494B5.4%234.5%5.0% 34 Vietnam$485B6.5%372.0%6.4% 35 Bangladesh$475B3.8%318.5%5.9% 36 Malaysia$471B4.5%196.2%4.5% 37 Denmark$460B1.8%40.8%1.4% 38 Colombia$438B2.5%135.8%3.5% 39 Hong Kong SAR$428B2.4%92.2%2.7% 40 South Africa$426B1.1%67.2%2.1% 41 Romania$423B1.0%134.4%3.5% 42 Pakistan$410B2.7%158.7%3.9% 43 Czechia$383B2.3%77.0%2.4% 44 Iran$357B0.6%110.2%3.1% 45 Egypt$349B4.3%185.5%4.3% 46 Chile$347B2.5%125.5%3.4% 47 Portugal$338B1.9%26.3%1.0% 48 Peru$318B2.9%170.7%4.2% 49 Finland$315B0.5%30.4%1.1% 50 Kazakhstan$300B5.9%288.2%5.6% As we can see, the U.S. economy has grown nearly 70% in the past quarter-century, in inflation-adjusted terms. On an annual basis, the average growth rate was 2.1%, the third-fastest across the 10 largest economies today. For perspective, India has grown at more than triple this rate over the last 25 years, helping grow its GDP to $4.1 trillion. By next year, it is forecast to surpass Japan as the fourth-biggest economy. Germany, on the other hand, has seen notably sluggish growth for decades. In both 2023 and 2024, the economy contracted, while growth is expected to be just 0.2% this year. Along with weak productivity growth, its manufacturing sector has been in decline since 2018. Similarly many European countries have averaged less than 2% growth over the last 25 years. Italy, the eighth-biggest economy, has averaged just 0.4% GDP growth, while in France, it has been just 1.2%. Learn More on the Voronoi App To learn more about this topic, check out this graphic on the U.S. states with the fastest GDP growth since 1998.

See more visualizations like this on the Voronoi app. Use This Visualization America’s Data Center Capacity Shortfall 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 Rapid growth in power-hungry AI models is expected to push U.S. data center demand beyond available capacity through 2028. The projected power gap—10 gigawatts (GW) by 2028—is comparable to the electricity needed to power roughly 7.5 million homes for an entire year. Hyperscalers like Google, Meta, and Amazon are set to spend a combined $325 billion on capital expenditures this year, mainly for data centers. But this massive spending is being met with constraints in the physical world. This year, data center capacity faces about an 11 GW shortfall. Supply chain pressures, from limited land and grid capacity to ongoing chip shortages, remain headwinds to data center buildouts. This graphic shows U.S. data center supply and demand through to 2028, based on estimates from Goldman Sachs. U.S. Data Center Capacity Supply and Demand Below, we show how data center supply faces a huge shortfall in the coming years: YearU.S. Data Center CapacityDemand (GW)U.S. Data Center CapacitySupply (GW)Data Center CapacityShortfall (GW) 202324.014.2-9.8 202429.721.1-8.6 2025P38.126.7-11.4 2026P49.840.5-9.3 2027P62.753.0-9.7 2028P77.067.0-10.0 For perspective, a large data center is estimated to need as much power as 400,000 electric vehicles annually. As AI adoption grows, “inferencing” will see higher demand. This is when AI responds to a query, rather than training the models themselves. When data centers are located closer to cities, it creates faster responses, but there is a shortage of land and electricity needed to support this. Moreover, data center vacancy rates are at all-time lows of 3%. When it comes to power needs, natural-gas turbines face yearslong waits and long construction timelines. In turn, tech companies are looking to alternative—and sometimes more expensive sources—such as smaller natural-gas turbines that are more readily accessible. Even so, the data center shortfall is forecast to be 9.3 GW in 2026, rising to 10 GW by 2028. Learn More on the Voronoi App To learn more about this topic, check out this graphic on the world’s data centers.

See more visualizations like this on the Voronoi app. Use This Visualization Visualizing $2.4 Trillion in Energy Transition Spending 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 Global energy transition investment hit a record $2.4 trillion in 2024, up 20% from 2022-2023 average spending levels. Electric vehicle investment surged 33% to reach $763 billion, while solar power climbed 49% versus the previous benchmark. Energy transition spending is booming worldwide, as EVs and renewable power expand their market share. While average global spending in renewable energy was $662 billion between 2022 and 2023, it grew to $807 billion in 2024. Not only that, 92% of new U.S. electricity additions will be powered by clean sources this year and next. This graphic shows global energy transition investment in 2024, based on data from the Climate Policy Institute and IRENA. Global Energy Transition Investment by Category Below, we show investment across key categories in the energy transition, from wind energy and power grids to battery storage: CategoryGlobal Investment 2024(USD)Growth vs 2022/2023Average Solar PV$554B49% Solar Thermal$12B-32% Wind Energy$196B-11% Other Renewables$19B-61% Electric Vehicles$763B33% EV Charging Infrastructure$39B27% Power Grids$359B14% Energy Efficiency$346B3% Battery Storage$54B73% Green Hydrogen$8B-20% Global Total$2.4T20% Overall, EVs and solar power were the two largest categories, driving 55% of the total last year. China accounted for 49% global investment in battery EVs in 2024, supported by government policies. At the same time, nearly 1.8 million EV charging points were built, more than the rest of the world combined. Meanwhile, investment in battery storage was the fastest-growing segment, rising 73% in 2024 versus the 2022-2023 average. What’s more, investment was 11 times higher than 2019-2020 levels given lower costs and efficiency improvements. Investment in power grids also saw meaningful growth, rising 14% to reach $359 billion. Globally, spending is forecast to continue rising to support EVs and renewable energy generation. In contrast, wind energy spending declined to $196 billion given permitting timelines and rising financing costs, particularly for offshore wind. As a result, many offshore wind projects were canceled in the U.S., and are expected to continue looking ahead. Learn More on the Voronoi App To learn more about this topic, check out this graphic on future solar power capacity by country.

See more visuals like this on the Voronoi app. Use This Visualization Mapped: Every State’s Share of U.S. GDP 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 California remains the largest state economy, responsible for 14.5% of U.S. GDP. California, Texas, New York, and Florida collectively generate over 37% of national GDP. The median U.S. state contributes roughly 1% to 2% of U.S. GDP. The U.S. economy now exceeds $30 trillion in size, but that output is far from evenly distributed across the country. While large and economically diverse states like California dominate contributions to national GDP, many smaller states contribute less than 0.5% each. This infographic maps the share of U.S. GDP by state based on data from Mark Zandi and Moody’s Analytics. Breaking Down U.S. GDP by State More than one-third of America’s GDP comes from the top four states—California, Texas, New York, and Florida. These are also the country’s most populous states, which directly impacts their economic size and output. The table below shows every state’s share of U.S. GDP as of October 2025: RankState/DistrictShare of U.S. GDP (%) 1California14.5% 2Texas9.4% 3New York7.9% 4Florida5.8% 5Illinois3.9% 6Pennsylvania3.5% 7Ohio3.1% 8Georgia3.0% 9Washington3.0% 10New Jersey2.9% 11North Carolina2.9% 12Massachusetts2.7% 13Virginia2.7% 14Michigan2.4% 15Colorado1.9% 16Arizona1.9% 17Tennessee1.9% 18Maryland1.9% 19Indiana1.8% 20Minnesota1.7% 21Missouri1.5% 22Wisconsin1.5% 23Connecticut1.3% 24South Carolina1.2% 25Oregon1.1% 26Louisiana1.1% 27Alabama1.1% 28Utah1.0% 29Kentucky1.0% 30Oklahoma0.9% 31Iowa0.9% 32Nevada0.9% 33Kansas0.8% 34Arkansas0.7% 35District of Columbia0.6% 36Nebraska0.6% 37Mississippi0.5% 38New Mexico0.5% 39Idaho0.4% 40New Hampshire0.4% 41Hawaii0.4% 42West Virginia0.4% 43Delaware0.3% 44Maine0.3% 45Rhode Island0.3% 46North Dakota0.3% 47Montana0.3% 48South Dakota0.3% 49Alaska0.2% 50Wyoming0.2% 51Vermont0.2% California stands far ahead of the rest of the country, generating 14.5% or more than $4 trillion of the national GDP. On its own, California would rank as the fifth-largest economy in the world, with real estate and finance as major drivers of economic output. Texas follows at 9.4%, fueled by strong energy, technology, and business services sectors. New York ranks third at 7.9%, and Florida (5.8%) rounds out the top four, boosted by tourism, real estate, and strong population growth. Besides mid-sized states like Illinois and Pennsylvania, most other states account for anywhere between 1 and 3% of U.S. GDP, while 22 states contribute less than 1%, including Vermont, Wyoming, and Alaska. States At Risk of Recession In the first 11 months of 2025, U.S. employers announced more than 1.1 million job cuts, marking the sixth time that layoffs have surpassed this threshold since 1993. Mark Zandi, chief economist at Moody’s Analytics, notes that several states are already seeing slowdowns in economic activity based on indicators such as employment, income, industrial production, and retail sales. According to Zandi, 23 of the 50 U.S. states are already in recession, and another 12 states, including large economies like California and New York, are “treading water” and at risk of entering recession. You can see recession risk by state mapped out here. Despite these pressures, the U.S. economy grew by 3.8% in Q2 2025, rebounding from a 0.6% decline in the first quarter. Learn More on the Voronoi App If you enjoyed today’s post, explore more economic insights on Voronoi, including Unemployment by State.

See more visuals like this on the Voronoi app. Use This Visualization Immigrant vs. Native-Born Labor Force Participation, 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 incredible data-driven charts from a variety of trusted sources. Key Takeaways Immigrants have higher labor force participation than native-born populations in 21 of 36 OECD countries. In Chile, 83% of immigrants are active in the labor market, compared to just 69% of native-born adults. In a few countries, including the Netherlands, Türkiye, and Germany, native-born participation remains higher. As many developed economies face aging populations and shrinking workforces, labor force participation has become increasingly important, and is a key driver behind immigration policy. This chart compares labor force participation rates between native-born and foreign-born populations across OECD countries, using data from the OECD’s International Migration Outlook 2025. Labor force participation is defined as the share of adults who are either employed or actively seeking work. Immigrant Participation Often Matches Native-Born Rates Across OECD countries, the average labor force participation rate for immigrants stands at 77%, slightly higher than the 76% average for native-born adults. In many countries, immigrants are just as engaged in the labor market, if not more, than their native-born counterparts. The table below shows labor force participation rates for native-born and foreign-born populations across OECD countries: CountryForeign-born participation rateNative-born participation rate Chile83.0%68.9% Luxembourg79.2%67.8% Costa Rica74.1%64.5% Portugal83.6%77.0% Poland81.1%74.6% Ireland81.6%76.4% Italy71.1%65.8% Czechia82.1%77.2% Colombia70.6%66.6% Spain77.6%73.7% Greece73.6%70.2% United Kingdom80.4%77.6% Hungary81.1%78.6% United States76.0%73.3% New Zealand84.3%81.8% Estonia84.0%81.9% Iceland90.1%88.3% Slovenia77.4%75.7% Japan81.4%79.8% Canada80.6%79.4% Denmark83.1%82.3% Australia80.6%80.6% South Korea71.8%72.3% Sweden83.5%84.0% Slovak Republic75.5%76.6% Lithuania78.4%79.5% Latvia75.4%76.9% Austria76.9%78.6% Switzerland82.5%85.0% Finland79.9%79.7% Belgium68.4%71.8% France70.9%75.2% Norway76.6%81.6% Germany74.3%82.1% Mexico56.4%65.8% Netherlands76.3%87.5% Türkiye49.7%60.9% OECD average76.9%76.1% Chile shows the largest gap favoring immigrants, with a 14.1 percentage-point difference in labor force participation. The country’s foreign-born population has grown by 334% since 2014, driven largely by migration from other South American countries such as Venezuela, Peru, and Colombia. Luxembourg also stands out, with nearly four in five immigrants (79%) active in the labor market, compared to 68% of native-born adults. It also has one of the world’s highest proportions of international migrants in its population. Costa Rica follows a similar pattern, where immigrant participation reaches 74%, versus 65% for native citizens. Countries With High Native-Born Participation While immigrants are more active in many countries, the opposite pattern appears in several large European economies. In Germany, native-born participation stands at 82%, compared to 74% among immigrants. Although Germany faces labor shortages and has expanded pathways for skilled immigration, around 24% of long-term arrivals are humanitarian migrants, many of whom are not immediately integrated into the labor market. The Netherlands and Türkiye show the largest gaps, with native-born labor force participation exceeding immigrant participation by 11.2 percentage points in both countries. Learn More on the Voronoi App If you enjoyed this post, see How Much of Europe is Made of Immigrants? on Voronoi.

Published 3 hours ago on December 15, 2025 By Cody Good Graphics & Design Harrison Schell Twitter Facebook LinkedIn Reddit Pinterest Email The following content is sponsored by Lloyd's Register Foundation View the full-size version of this graphic Special Report: 8,500 Toxic Shipwrecks. Zero Global Framework. Key Takeaways Over 8,500 historic shipwrecks worldwide pose a toxic threat, containing millions of metric tons of oil and other hazardous materials. Small island states are especially at risk, lacking the resources to monitor or respond to leaks in their waters. The Malta Manifesto urges coordinated global action to identify and mitigate high-risk shipwrecks. There are over 8,500 potentially polluting wrecks (PPWs) across the world’s ocean. These shipwrecks may hold as much as 20.4 million metric tons of oil and toxic substances, according to estimates. This graphic, in partnership with Lloyd’s Register Foundation, shows the global density of World War II wrecks. It uses data from Paul Heersink’s Sunken Ships of the Second World War database and oil estimates from Michel et al., 2005, presented at the International Oil Spill Conference. Where Toxic Shipwrecks Are Found World War II battles sank over 75% of PPWs, concentrating most in regions such as the South Pacific (32% of PPWs, 25% of oil) and the North Atlantic (25% of PPWs, 38% of oil). Here is a table that shows the concentration of PPWs by ocean region and their estimated oil content: Ocean RegionNumber of ShipwrecksOil Volume, Mid-Point Estimate (metric tons) South Asian-Pacific2,7372,305,000 Northwest Atlantic1,3932,256,000 Northewest Pacific1,152568,500 Northeast Atlantic7861,969,500 Scandinavian-West Russian Arctic398493,000 Mediterranean Sea361566,000 North Pacific329379,000 Indian296730,000 Middle-Eastern Gulfs193846,500 Southwest Atlantic160194,500 Southeast Atlantic74441,500 Canadian Artic137,900 East Russian Arctic134,800 Southeast Pacific1248,500 Antarctic-Southwest Atlantic1108,500 Anarctic-Indian126,450 Antarctic-Southeast Pacific1475 Source: Michel et. al., 2005 These wrecks remain under the ownership of the original flag states, who have no legal obligation to intervene. As a result, proactive international cooperation is urgently required. The Environmental Threat Many PPWs lie in the waters of small island states reliant on fishing and tourism. Even minor oil spills in sensitive marine areas can be devastating. Here is a table showing the top 10 countries with the most PPWs located in their exclusive economic zones (EEZs), ranked by GDP: CountryShips within EEZ by GDP (Billions US$) Micronesia288.49 Marshall Islands139.11 Solomon Islands74.40 Nauru37.42 Kiribati22.74 Papua New Guinea8.11 Vanuatu6.89 Cape Verde6.87 Sierra Leone5.56 Liberia4.63 Source: Shipwreck locations – Paul Heersink, 2025; EEZ file – Flanders Marine Institute, 2023 Because these nations often lack the resources to respond, they remain especially vulnerable to emerging threats. The Malta Manifesto: Charting a Path Forward The Malta Manifesto, launched by Project Tangaroa, calls for a global framework to address the PPW threat. It outlines key actions, from identifying high-risk wrecks to supporting coastal nations with limited capacity. By recognizing that even a single leak in the wrong location can have far-reaching impacts, the Manifesto pushes for equitable, science-based solutions to this overlooked legacy of conflict. Read the Malta Manifesto. More from Lloyd's Register Foundation Environment1 year ago Are We United or Divided in The Fight Against Climate Change? Visual Capitalist partnered with Lloyd’s Register Foundation to determine which nations believe climate change is a threat. Business1 year ago Ranked: Which Industries Are the Most Dangerous? In this graphic, Visual Capitalist partnered with Lloyd’s Register Foundation to analyze workplace safety and determine the most dangerous industry. Environment1 year ago Visualized: How Do Countries Dispose of Their Household Waste? In this graphic, Visual Capitalist has partnered with Lloyd’s Register Foundation to explore the most common household waste disposal practices in 142 countries. Money1 year ago Visualized: How Long Can Each Generation Survive Without Income? Visual Capitalist has partnered with Lloyd’s Register Foundation to explore how long each generation can cover their needs without income. Green2 years ago World Risk Poll: How Do People Feel About Climate Change? This graphic explores 121 nations thoughts on climate change and ranks them by the volume of their population who views it as a threat. Economy2 years ago World Risk Poll: How Long Can People Survive Without Income? Income security is critical in resilience. In this graphic, we explore how secure people are and how long they could live without income. Misc2 years ago World Risk Poll: Visualizing Harassment and Violence in the Workplace This infographic shows the types of workplace violence and harassment faced by people in the global workplace. Technology2 years ago World Risk Poll: Mapping Global Sentiment on AI This infographic shows public perception of AI all over the globe and how this sentiment is affected by where you live. Subscribe Please enable JavaScript in your browser to complete this form.Join 375,000+ email subscribers: *Sign Up

See more visualizations like this on the Voronoi app. Use This Visualization The World’s Highest Annual Births by Country (2025 vs. 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 The global fertility rate hit an all-time low of 2.3 births per woman in 2024, barely above the replacement level of 2.1. India is projected to see 23.1 million births in 2025, falling to 19 million by 2050. About 3.7 million babies will be born in the U.S. this year, the eighth-highest total worldwide. While America leads in annual births by country across the rich world, it is modest compared to emerging giants. India is set to record more than six times as many births, and Nigeria twice as many. This graphic shows the top countries by annual birth projections, based on data from the UN’s World Population Prospects 2024 via Our World in Data. Annual Births by Country Forecasts Here is where the most babes will be born this year and by mid-century: RankCountryNumber of Births 2025PRankCountryNumber of Births 2050P 1 India23.1M1 India19.0M 2 China8.7M2 Nigeria8.1M 3 Nigeria7.6M3 Pakistan7.5M 4 Pakistan6.9M4 China7.4M 5 DRC4.6M5 DRC6.3M 6 Indonesia4.4M6 Ethiopia4.8M 7 Ethiopia4.2M7 Indonesia3.9M 8 United States3.7M8 United States3.8M 9 Bangladesh3.4M9 Tanzania3.3M 10 Brazil2.5M10 Bangladesh2.7M 11 Egypt2.5M11 Egypt2.6M 12 Tanzania2.4M12 Angola2.0M 13 Mexico2.0M13 Brazil2.0M 14 Philippines1.9M14 Sudan2.0M 15 Uganda1.7M15 Uganda1.9M 16 Sudan1.7M16 Afghanistan1.8M 17 Kenya1.5M17 Mexico1.6M 18 Afghanistan1.5M18 Philippines1.6M 19 Angola1.4M19 Kenya1.6M 20 Yemen1.4M20 Yemen1.6M With 23.1 million births, India is forecast to lead globally in 2025. While the country is expected to drive 17% of all births worldwide, this share is projected to fall to 14% by 2050. Despite its relatively young population, fertility rates are now below replacement levels. China follows next with a projected 8.7 million births in 2025. However, it is forecast to fall to fourth globally in 25 years. With one of the world’s lowest fertility rates, it is set to be surpassed by both Nigeria and Pakistan. When it comes to the U.S., births are projected to shift modestly from 3.7 million in 2025 to 3.8 million in 2050. While declining fertility was often linked to rising incomes and women prioritizing careers, recent evidence points to a reversal. In fact, higher-income families in America have been having more children compared to lower-income families. Learn More on the Voronoi App To learn more about this topic, check out this graphic on fertility rates in Western-aligned countries.

See more visualizations like this on the Voronoi app. Use This Visualization Mapped: Recession Risk by State in 2025 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 As of October, 23 U.S. states face high recession risk, or are already in recession. By contrast, 16 states, including Texas and Kentucky, are expanding based on analysis from Moody’s. U.S. GDP is made up of many smaller, distinct state economies fueling national growth. In 2025, states responsible for about a third of U.S. GDP are in recession, or face high recession risk. Another third are expanding, including Florida and Utah, based on payrolls, employment, and other key economic data. This graphic shows recession risk by state in 2025, based on analysis from Mark Zandi, chief economist at Moody’s Analytics. Where Recession Risk is Highest in America To analyze recession risk, Zandi looks at state-level economic activity. This included a range of data such as unemployment, building permits, retail sales, industrial activity, delinquency rates, and tax revenues. States were then categorized into three buckets based on these factors as of October 2025: In Recession/High Risk Treading Water Expanding State/DistrictBusiness Cycle StatusShare of U.S. GDP (%) GeorgiaIn Recession/High Risk3.03 MontanaIn Recession/High Risk0.25 WyomingIn Recession/High Risk0.18 MichiganIn Recession/High Risk2.44 MassachusettsIn Recession/High Risk2.73 MississippiIn Recession/High Risk0.53 MinnesotaIn Recession/High Risk1.70 KansasIn Recession/High Risk0.80 Rhode IslandIn Recession/High Risk0.28 DelawareIn Recession/High Risk0.34 WashingtonIn Recession/High Risk3.02 IllinoisIn Recession/High Risk3.85 West VirginiaIn Recession/High Risk0.36 New HampshireIn Recession/High Risk0.42 MarylandIn Recession/High Risk1.86 VirginiaIn Recession/High Risk2.66 South DakotaIn Recession/High Risk0.25 ConnecticutIn Recession/High Risk1.27 OregonIn Recession/High Risk1.14 IowaIn Recession/High Risk0.86 New JerseyIn Recession/High Risk2.93 MaineIn Recession/High Risk0.33 District of ColumbiaIn Recession/High Risk0.64 MissouriTreading Water1.54 OhioTreading Water3.14 HawaiiTreading Water0.39 ArkansasTreading Water0.65 New MexicoTreading Water0.49 TennesseeTreading Water1.87 New YorkTreading Water7.92 VermontTreading Water0.16 AlaskaTreading Water0.24 ColoradoTreading Water1.92 CaliforniaTreading Water14.50 NevadaTreading Water0.86 South CarolinaExpanding1.18 TexasExpanding9.41 OklahomaExpanding0.92 IdahoExpanding0.43 KentuckyExpanding0.99 AlabamaExpanding1.10 IndianaExpanding1.81 NebraskaExpanding0.63 North CarolinaExpanding2.86 LouisianaExpanding1.11 FloridaExpanding5.78 North DakotaExpanding0.26 PennsylvaniaExpanding3.54 ArizonaExpanding1.88 WisconsinExpanding1.53 UtahExpanding1.02 Currently, many coastal, Northeastern states are facing some of the worst economic conditions. In Maine, for instance, year-over-year GDP growth is just 0.8% as of Q2 2025, compared to the U.S. average of 2.1%. Meanwhile, Washington, D.C.’s unemployment rate was 6.4% in July, significantly higher than the 4.6% U.S. average given sweeping federal cuts. According to Zandi’s analysis, New York and California are “Treading Water”, together responsible for driving over 22% of U.S. GDP. In comparison, Texas, which fuels 9.4% of U.S. economic growth is expanding. Unemployment rates of 4.0% in July remain below the U.S. average. Additionally, the Texas economy is growing faster than the nation, while income growth rose 6.3% annually as of Q2 2025, outpacing the national average. Learn More on the Voronoi App To learn more about this topic, check out this graphic on unemployment by state in 2025.

See this visualization first on the Voronoi app. Ranked: The Most Expensive Artworks Sold at an Auction 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 Leonardo da Vinci’s Salvator Mundi leads the list, selling for a record-breaking $450 million. The only sculpture among the top 20 is Alberto Giacometti’s Pointing Man, which fetched $141.3 million. Gustav Klimt’s Portrait of Elisabeth Lederer sold in 2025 for $236.4 million, making it the most expensive modern artwork ever auctioned. Every year, art collectors and institutions spend hundreds of millions at auctions to acquire rare masterpieces. These high-profile sales reflect not just the cultural importance of the works, but also the powerful role of art as a symbol of status, legacy, and financial investment. The dataset below ranks the top 20 most expensive artworks ever sold at auction, using figures from ARTnews and compiled visually by Julie Peasley. Here’s the full ranking of the top-selling artworks at auction: RankArtworkArtistAmount sold for ($USD) 1Salvator MundiLeonardo da Vinci450,300,000 2Portrait of Elisabeth LedererGustav Klimt236,400,000 3Shot Sage Blue MarilynAndy Warhol195,000,000 4Women of Algiers (Version ‘O’)Pablo Picasso179,400,000 5Reclining NudeAmedeo Modigliani170,400,000 6Reclining Nude (on Her Left Side)Amedeo Modigliani157,200,000 7Models (Small Version)Georges Seurat149,200,000 8Three Studies of Lucian FreudFrancis Bacon142,400,000 9Pointing ManAlberto Giacometti141,300,000 10Twelve Screens of LandscapesQi Baishi140,800,000 11Woman with a WatchPablo Picasso139,300,000 12Mont Sainte-VictoirePaul Cezanne137,700,000 13Empire of LightRene Magritte121,160,000 14The ScreamEdvard Munch119,900,000 15Orchard with CypressesVincent van Gogh117,620,000 16Young Girl with a Flower BasketPablo Picasso115,000,000 17MeulesClaude Monet110,700,000 18Untitled (1982 Skull)Jean-Michel Basquiat110,500,000 19Lady with a FanGustav Klimt108,400,000 20Nude, Green Leaves and BustPablo Picasso106,500,000 Among the top entries, a few highlights stand out: da Vinci’s Salvator Mundi towers above the rest with a $450 million sale price. Klimt’s 1914 portrait recently surpassed $236 million at Sotheby’s in 2025. Meanwhile, three paintings by Picasso appear in the top 20, underlining his continued dominance in the art world. Why Are These Artworks So Expensive? The sky-high prices of auctioned art often boil down to a mix of scarcity, provenance, cultural impact, and artist reputation. Fame begets fame as buyers pay a premium for historically significant works or pieces previously held in prestigious collections. High-net-worth individuals often see fine art not just as a passion purchase but also as a long-term investment and a status symbol. These dynamics help explain why the most prized works, such as those by Klimt, Warhol, or Monet, reach nine-digit figures. Why Some Artworks Are Auctioned, and Others Are Not While auction houses like Sotheby’s, Christie’s, and Phillips attract headlines with record-breaking sales, not all valuable artworks are sold this way. Many are sold privately through dealers or art brokers, often to maintain discretion or avoid auction fees. In recent auctions, there’s been a noticeable uptick in modern and contemporary works, such as Jean-Michel Basquiat and Andy Warhol, reflecting shifting tastes in the collector community. Paintings vs. Other Mediums Out of the top 20 most expensive artworks, only Giacometti’s Pointing Man is a sculpture. This reflects a broader dynamic highlighted in our previous piece on best-selling visual art mediums: paintings consistently command higher prices than other formats. Factors such as display ease, historical tradition, and broad aesthetic appeal contribute to painting’s enduring dominance in the market. Learn More on the Voronoi App Looking to dive deeper into the legacy of artists like Vincent van Gogh? Check out our latest post on Voronoi: Where and when did van Gogh create his works.

See more visuals like this on the Voronoi app. Use This Visualization Ranked: The Most Valuable NHL Teams in 2025 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 The Edmonton Oilers generated record revenues during the 2024–25 season thanks to their deep Stanley Cup run. Original Six teams still dominate the valuation rankings, while newer markets like Vegas and Seattle show rapid financial growth. CNBC’s latest valuations for 2025 show that historic NHL franchises still command the highest price tags, but fast-growing teams in non-traditional markets are beginning to close the gap. This visualization ranks all 32 NHL teams by their estimated enterprise value, alongside their revenues from the 2024–25 season. Original Six Teams Continue to Lead The Original Six are the six NHL teams that made up the league from 1942 to 1967, before major expansion began. All six teams are still active today, and together they account for a large share of the league’s Stanley Cup championships. Montreal Canadiens Toronto Maple Leafs Boston Bruins New York Rangers Detroit Red Wings Chicago Blackhawks Currently, the Toronto Maple Leafs top our list at $4.3 billion, supported by a massive fanbase and strong media revenues. Close behind are the New York Rangers and Montreal Canadiens, both exceeding $3 billion in value. RankTeamValueRevenue 1Toronto Maple Leafs$4.3B$382M 2New York Rangers$3.8B$322M 3Montreal Canadiens$3.4B$324M 4Los Angeles Kings$3.15B$347M 5Edmonton Oilers$3.1B$431M 6Boston Bruins$3.05B$281M 7Chicago Blackhawks$2.75B$268M 8Philadelphia Flyers$2.6B$315M 9Washington Capitals$2.5B$269M 10Detroit Red Wings$2.47B$251M 11New Jersey Devils$2.45B$300M 12Vancouver Canucks$2.2B$234M 13Vegas Golden Knights$2.1B$243M 14Dallas Stars$2.05B$252M 15Carolina Hurricanes$2B$212M 16Tampa Bay Lightning$1.95B$237M 17Calgary Flames$1.93B$189M 18Minnesota Wild$1.9B$250M 19Colorado Avalanche$1.85B$207M 20New York Islanders$1.82B$208M 21Seattle Kraken$1.77B$191M 22Pittsburgh Penguins$1.76B$206M 23Florida Panthers$1.75B$235M 24Nashville Predators$1.65B$192M 25St. Louis Blues$1.62B$197M 26Anaheim Ducks$1.61B$175M 27Utah Mammoth$1.6B$200M 28San Jose Sharks$1.55B$176M 29Winnipeg Jets$1.46B$182M 30Ottawa Senators$1.44B$169M 31Buffalo Sabres$1.42B$176M 32Columbus Blue Jackets$1.4B$164M Oilers’ Deep Playoff Run Drives Record Revenues The Edmonton Oilers stand out with the highest revenue figure in the league at $431 million. Their run to the Stanley Cup Finals in 2024–25 generated a surge in ticket sales, merchandise, and broadcast interest. As a result, Edmonton now ranks among the league’s most valuable franchises at $3.1 billion. Expansion Teams Show Rapid Market Growth Outside traditional hockey markets, teams like the Vegas Golden Knights and Seattle Kraken continue to build enterprise value quickly. Vegas, valued at $2.1 billion, has established a strong regional and tourism-driven fanbase. Seattle follows at $1.77 billion, reflecting strong ownership investment and enthusiastic local support. The Utah Mammoth—a recently relocated franchise—also enter the rankings with a solid $1.6 billion valuation, showing the league’s expansion strategy continues to pay off. Learn More on the Voronoi App If you enjoyed today’s post, check out Ranked: The Highest Pro Athlete Salaries, by Sport on Voronoi, the new app from Visual Capitalist.

See more visualizations like this on the Voronoi app. Use This Visualization Ranked: Wine Consumption per Capita in 2024 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 Portugal tops the list at 61.1 liters per person—18.4 liters more than Italy (42.7) and nearly 3x the average (21.5). Europe dominates, averaging 28.7 liters per person versus 10.8 for non-European countries in this dataset, and nine of the top 10 are in Europe. Wine is a deeply regional drink. In some countries it’s part of everyday meals, while in others it’s a more occasional purchase. This visualization compares wine consumption per capita in 2024 across the 20 countries with the highest overall wine consumption using data from the International Organisation of Vine and Wine, and population (15 years and older) figures from the World Bank. The differences are dramatic, showing how quickly “typical” wine consumption changes depending on where you look. The Countries that Drink the Most Wine per Person Portugal sits alone at the top at 61.1 liters per person in 2024. That’s 18.4 liters higher than second-place Italy (42.7) and 19.6 liters above France (41.5). The data table below shows wine consumption per capita by country in 2024 in liters: RankCountryAnnual wine consumption per capita in 2024 (liters) 1 Portugal61.1 2 Italy42.7 3 France41.5 4 Switzerland29.7 5 Austria28.6 6 Australia24.5 7 Germany24.5 8 Hungary24.4 9 Spain23.8 10 UK22.3 11 Argentina21.6 12 Netherlands20.7 13 Romania18.7 14 Canada13.7 15 USA11.8 16 South Africa9.2 17 Russia6.8 18 Japan2.8 19 Brazil1.9 20 China0.5 Portugal’s high wine production per capita and low value-added tax (VAT) of 13% on still wine (the lowest in the EU) fuel its high consumption. Even if sparkling wines face a 23% value-added tax in Portugal (with no extra alcohol excise tax), in-restaurant sparkling VAT falls back down to 13%. Across the 20 countries shown, the average is 21.5 liters per person and the median is 22.0—meaning half of countries are above (or below) roughly the low-20s. European Countries Drink the Most Wine per Capita European countries hold the top five spots in terms of drinking the most wine per capita, and as a group, European countries average 28.7 liters per person, well above the 20-country average of 21.5. However, there’s a clear top tier even among European countries, with a significant drop-off after the top three. Consumption falls 11.8 liters from France (41.5) to Switzerland (29.7)—equal to the entire per-capita consumption level in the U.S. (11.8). Wine Consumption Varies Outside Europe Non-European countries in this dataset average 10.8 liters per person—less than half the European average (28.7). But the spread is wide. Australia is the standout at 24.5 liters, while Canada (13.7) and the U.S. (11.8) sit closer to the middle-lower range. At the bottom end, Japan (2.8), Brazil (1.9), and China (0.5) show how small per-capita consumption can be in large, non-traditional markets. Learn More on the Voronoi App To learn more about global wine consumption, check out this graphic on Voronoi which visualizes overall consumption per country.

See more visuals like this on the Voronoi app. Use This Visualization The Number of European Colonies by Country (1450-2000) 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 European colonization began in the late 1400s, reaching a peak count of 101 colonies in 1914. Britain built the largest empire of its peers, with 57 colonies between 1918 and 1919. Europe’s colonial empires have shaped the world’s political and economic systems for over 500 years. From Portugal’s early ventures in the 1400s, to Britain’s massive empire in the early 20th century, European nations have competed for control of territory and trade across nearly every continent. In this graphic, we trace the history of European colonies from 1462 to today, showing how the era of colonies rose and fell. Data & Discussion The data for this visualization comes from Our World in Data. It tracks the number of overseas colonies under the control of key European powers including the UK, France, Spain, Portugal, the Netherlands, and others. These numbers provide a historical record of how European influence expanded through exploration, conquest, and colonization, and later declined through wars, independence movements, and international pressure. Year 146200010000 146300010000 146400010000 146500010000 146600010000 146700010000 146800010000 146900010000 147000010000 147100010000 147200010000 147300010000 147400010000 147500010000 147600010000 147700010000 147800010000 147900010000 148000010000 148100010000 148200020000 148300020000 148400020000 148500020000 148600020000 148700020000 148800020000 148900020000 149000020000 149100020000 149200020000 149300020000 149400020000 149500120000 149600120000 149700120000 149800120000 149900120000 150000120000 150100120000 150200120000 150300120000 150400120000 150500120000 150600120000 150700120000 150800120000 150900220000 151000220000 151100330000 151200330000 151300330000 151400330000 151500330000 151600330000 151700330000 151800330000 151900430000 152000430000 152100530000 152200540000 152300540000 1524001040000 1525001140000 1526001140000 1527001140000 1528001240000 1529001240000 1530001240000 1531001240000 1532001240000 1533001350000 1534001350000 1535001450000 1536001450000 1537001550000 1538001550000 1539001550000 1540001550000 1541001650000 1542001650000 1543001650000 1544001650000 1545001650000 1546001650000 1547001650000 1548001650000 1549001650000 1550001650000 1551001650000 1552001650000 1553001650000 1554001650000 1555001650000 1556001750000 1557001750000 1558001750000 1559001850000 1560001850000 1561001850000 1562001850000 1563001850000 1564001850000 1565001950000 1566001950000 1567001950000 1568001950000 1569001950000 1570001950000 1571001950000 1572001950000 1573001950000 1574001950000 1575001950000 1576001960000 1577001960000 1578001960000 1579001960000 1580002060001 1581002060001 1582002060001 1583002060001 1584002060001 1585002060001 1586002060001 1587002060001 1588002060001 1589002060001 1590002060001 1591002060001 1592002160001 1593002160001 1594002160001 1595002160001 1596002160001 1597002160001 1598002160001 1599002160001 1600002160001 1601002160001 1602002160001 1603002160001 1604002160001 1605002160001 1606002160001 1607102160001 1608112160001 1609112160001 1610112160001 1611112160001 1612112160001 1613112160001 1614112160001 1615112160001 1616112160001 1617112160001 1618112160001 1619112170001 1620112170001 1621112170001 1622112170001 1623212170002 1624212170002 1625212270002 1626212270002 1627312270002 1628312270002 1629312270002 1630312270002 1631312270002 1632422270002 1633422270002 1634422270002 1635422270002 1636422270002 1637422270002 1638422270002 1639422270002 1640422270002 1641422270002 1642422270002 1643422270002 1644422270002 1645422270002 1646422270002 1647422270002 1648422270002 1649422270002 1650442370002 1651442370002 1652442370003 1653442370003 1654442370003 1655542370003 1656542270003 1657542260003 1658542260003 1659542260003 1660542260003 1661542260003 1662542260003 1663542260003 1664542260003 1665552260003 1666552260003 1667552260004 1668552260004 1669552260004 1670552260004 1671552260004 1672552260004 1673552260004 1674552260004 1675552260004 1676552260004 1677552260004 1678552260004 1679552260004 1680552270004 1681552270004 1682552270004 1683552270004 1684552270004 1685552270004 1686552270004 1687552270004 1688552270004 1689552270004 1690552270004 1691552270004 1692552270004 1693652270004 1694652270004 1695652270004 1696652270004 1697652270004 1698652270004 1699652270004 1700652270004 1701652270004 1702652270004 1703652270004 1704652270004 1705652270004 1706652270004 1707652270004 1708652270004 1709652270004 1710652270004 1711652270004 1712652270004 1713652270004 1714652270004 1715662270004 1716662270004 1717662270004 1718662270004 1719662270004 1720662270004 1721662270004 1722662270004 1723662270004 1724662270004 1725662270004 1726662270004 1727662270004 1728662270004 1729662270004 1730662270004 1731662270004 1732662270004 1733662270004 1734662270004 1735662270004 1736662270004 1737662270004 1738662270004 1739662270004 1740662270004 1741662270004 1742662270004 1743662270004 1744662270004 1745662270004 1746662270004 1747662270004 1748662270004 1749662270004 1750662270004 1751662270004 1752662270004 1753662270004 1754662270004 1755662270004 1756672270004 1757672270004 1758672270004 1759672270004 1760672270004 1761672270004 1762872270004 1763962270004 1764942270004 1765942270004 1766942270004 1767942270004 1768942270004 1769942270004 1770942270004 1771942270004 1772942270004 1773942270004 1774942270004 1775942270004 1776942270004 1777942270004 1778942280004 1779942270004 1780942270004 1781942270004 1782942270004 17831042270004 1784942270004 1785942270004 1786942270004 1787942270004 1788942270004 1789942270004 1790942270004 1791942270004 1792942270004 1793942270004 1794942270004 1795932270004 1796932270004 17971032270004 17981232170004 17991232170004 18001232170004 18011232170004 18021232170004 18031232170004 18041232170004 18051322170004 18061322170004 18071322170003 18081322170003 18091322170003 18101422170003 18111412170003 18121412070003 18131412070003 18141812070003 18151802070003 18161802070002 18171802070002 18181702070002 18191701970002 18201701870002 18211701770002 1822170970002 1823170950002 1824170940002 1825170840002 1826180740002 1827190740002 1828190740002 1829200640002 1830200540002 1831200540002 1832200540002 1833200540002 1834200540002 1835200540002 1836200540002 1837200540002 1838200540002 1839200540002 1840210540002 1841210540002 1842210540002 1843210540002 1844210540002 1845210540002 1846210540002 1847210540002 1848211540002 1849211540002 1850211540002 1851211540002 1852211540002 1853211540002 1854212540002 1855212540002 1856212540002 1857242540002 1858232640002 1859232640002 1860232640002 1861242640002 1862242640002 1863242540002 1864242540002 1865242540002 1866242440002 1867242440002 1868242440002 1869242440002 1870242440002 1871242440002 1872242440002 1873242440002 1874262440002 1875262440002 1876262440002 1877262440002 1878262440002 1879262450002 1880262450002 1881264450002 1882275450002 1883275450002 1884297550202 1885297561702 1886308661702 18873110661702 18883510661802 18893511661802 18903511661812 18913611661912 18923911661912 18934012661912 18944113661912 18954315661912 18964415661912 18974415661912 18984515661912 189946155611112 190047152611212 190147152611212 190247152611212 190348162611212 190448172611212 190548172611222 190649182611222 190749182611222 190849182611222 190949182611222 191050192611222 191150192611222 191250202611232 191350202611232 191454212611232 19155521261832 19165621261632 19175621261332 19185721261232 19195721261132 19205621261132 19215121261132 19225124262132 19235526263032 19245526263032 19255526263032 19265526263032 19275526263032 19285526263032 19295526263032 19305526263032 19315526263032 19325526263032 19335426263032 19345426263032 19355426263032 19365326263032 19375326263022 19385326263022 19395326263022 19405326263022 19415426263022 19425426263012 19435426263002 19445426263002 19455426263002 19465526263002 19475424263002 19485124263002 19494824263002 19504724263002 19514724263002 19524624263002 19534524263002 19544523263002 19554521263002 19564521263002 19574419263002 19584319263002 19594418263002 19604418263002 1961414262002 1962394262002 1963363260001 1964323260001 1965303260001 1966283260001 1967243260001 1968233260001 1969203160001 1970203160001 1971183160001 1972153160001 1973153160001 1974143160001 1975133150000 1976132000000 1977122000000 1978121000000 1979101000000 198061000000 198140000000 198220000000 198320000000 198410000000 198500000000 198600000000 198700000000 198800000000 198900000000 199000000000 199100000000 199200000000 199300000000 199400000000 199500000000 199600000000 199700000000 199800000000 199900000000 200000000000 200100000000 200200000000 200300000000 200400000000 200500000000 200600000000 200700000000 200800000000 200900000000 201000000000 201100000000 201200000000 201300000000 201400000000 201500000000 201600000000 201700000000 201800000000 201900000000 202000000000 202100000000 202200000000 The Early Days of Colonization Portugal was the first European nation to establish an overseas colony, beginning in the 1400s along the African coast and Atlantic islands. Spain followed soon after with its vast empire in the Americas. An important milestone was the Treaty of Tordesillas (1494), which granted Spain and Portugal exclusive rights to explore, claim, and colonize along an agreed meridian. Backed by royal patronage and emerging maritime technology, Portugal built trading outposts from Brazil to the Indian Ocean, while Spain established vast territorial colonies across the Americas through conquest, settlement, and resource extraction. By the early 1600s, Britain, France, and the Netherlands had joined the race, creating colonies in North America, the Caribbean, and Asia. This competition fueled centuries of maritime exploration and conflict, laying the groundwork for global trade and cultural exchange. Unfortunately, colonization also brought about exploitation and displacement, characterized by the seizure of land and resources, forced labor, and the disruption of indigenous peoples. Decolonization and the End of Empire After World War II, global power shifted. European empires were financially drained and politically weakened, losing the capacity to control their vast overseas territories. Meanwhile, rising nationalist movements across Asia, Africa, and the Middle East pushed for independence. A clear example is India’s independence from Britain in 1947, which became a catalyst for global decolonization. Britain was exhausted after World War II, and with growing independence movements led by Mahatma Gandhi, the British government was forced to concede sovereignty. Between 1945 and the late 20th century, the number of European-controlled colonial territories declined dramatically, marking the end of formal empire building. Dozens of former colonies across Asia, Africa, and the Middle East gained independence during this period. What remains today are a small number of overseas territories—such as islands and enclaves—administered by European states under special constitutional arrangements. These territories generally have significant local autonomy and are no longer considered colonies in the traditional sense, though debates over self-determination persist in some cases. Learn More on the Voronoi App If you enjoyed today’s post, check out The State of Global Democracy on Voronoi, the new app from Visual Capitalist.

Key Takeaways Alphonse Mucha is the most AI-prompted artist on Midjourney. In architecture prompts, Zaha Hadid dominates with more mentions than the next six architects combined. Wes Anderson is the top director influencing AI-generated content. As generative AI tools like Midjourney become mainstream for creating visual content, a fascinating question arises: whose artistic styles are AI users borrowing from the most? To find out, Kapwing, in partnership with NeoMam Studios, analyzed the Midjourney Discord to see how many times popular artists, architects, and directors were named in close to five million user prompts. This dataset reveals which creatives are influencing the aesthetics of AI-generated images and videos today. Here are the top names across a few different categories. PersonCategoryNumber of Midjourney Images and Videos Alphonse MuchaArtists230,794 WLOPIllustrators166,415 Greg RutkowskiIllustrators134,695 RembrandtArtists128,143 Wes AndersonDirectors92,378 Zaha HadidArchitects63,103 Krenz CushartIllustrators62,408 Leonardo Da VinciArtists61,259 Norman RockwellArtists57,583 Tim BurtonDirectors57,000 Top Architects Used in Visual AI Prompts 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. Alphonse Mucha, the Czech Art Nouveau painter, leads the pack with over 230,000 mentions, which is more than triple any other artist. Mucha is followed by Rembrandt (128,143) and Leonardo da Vinci (61,259), indicating a strong user preference for foundational techniques in light, anatomy, and composition. This suggests that even in the age of AI, classical mastery remains a benchmark for aesthetic credibility and visual coherence. Top Architects Used in Visual AI Prompts Among architects, one name clearly stands above the rest: Zaha Hadid. Her futuristic, fluid forms have inspired over 63,000 prompts—more than the next six architects combined. Frank Lloyd Wright and Tadao Ando follow, highlighting enduring interest in organic and minimalist design philosophies. Top Film Directors Used in Visual AI Prompts Filmmakers are also popular choices in visual storytelling prompts. Wes Anderson leads with 92,378 prompt mentions, thanks to his distinct color palettes and symmetrical compositions. Tim Burton ranks second at 57,000, with other auteurs like Roger Deakins, Christopher Nolan, and Guillermo del Toro rounding out the top 10. Distinctiveness Encourages Imitation While we currently don’t know what people are prompting across all AI platforms, this Midjourney data gives us a fascinating peek at what inspires people in their own creative pursuits. Whether it’s the ornamental elegance of Mucha, the futuristic forms of Hadid, or the stylized symmetry of Anderson, AI-generated content today draws heavily from artists with instantly recognizable and conceptually rich visual languages—regardless of era. Learn More on the Voronoi App Looking for more insights on how people are using AI tools like ChatGPT? See our data dive here: What do people actually use ChatGPT for?

See more visualizations like this on the Voronoi app. Use This Visualization Charted: Substance Use Among Young Adults in the U.S. 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 Alcohol remains the most commonly used substance among young adults, with 81% reporting use in the past year. Cannabis use continues to rise, with 41% of young adults using it in some form. Nicotine pouch use doubled year-over-year, from 5% in 2023 to 10% in 2024. Substance use among young Americans has shifted significantly over the past decade, with cannabis and nicotine vaping emerging as major trends. This infographic shows what substances young adults (ages 19–30) used in 2024, using the latest data from research by the University of Michigan. What Substances Are Young Adults Using in America? While alcohol use remains prevalent among young adults, substances like nicotine, cannabis, and vaping products have seen sharp increases in recent years. The table below shows the share of 19- to 30-year-olds who reported using each substance in 2024: SubstanceShare of young adults reporting use in 2024 Alcohol81% Cannabis (any mode)41% Vaping Cannabis22% Nicotine (any mode)37% Vaping nicotine26% Nicotine pouches10% CBD19% Cigarettes18% Other drugs*18% *Other drugs include hallucinogens, amphetamines, cocaine, sedatives, tranquilizers, and narcotics/opioids. According to the study, nearly 81% of young adults used alcohol in the last 12 months, making it the most widely used substance by far. Meanwhile, cannabis continues to trend upward, with 41% of young adults reporting use, double the rate from the early 2010s. Vaping is also widespread with 26% of young adults vaping nicotine, and 22% vaping cannabis, up from 14% in 2023. Furthermore, nearly 37% of young adults used nicotine in some form, making it one of the most widely-used substances. Nicotine pouches saw the biggest year-over-year shift, with their use doubling to around 10% in 2024, reflecting their growing popularity as an alternative to smoking and vaping. In terms of daily usage, 25% of young adults reported binge drinking, where they consumed five or more drinks in a row in the past two weeks. Among cannabis users, 11% reported daily cannabis use (>20 occasions in the last 30 days). What’s Driving Substance Use? Several factors influence the shifting substance habits of young Americans: Legalization of cannabis across many states has normalized its use. Vaping products are often perceived as less harmful than traditional smoking. Nicotine pouches are marketed as “smoke-free,” making them appealing to younger users. At the same time, traditional cigarette use continues its decades-long decline, although 18% of young adults still report smoking in the past year. Learn More on the Voronoi App To learn more about this topic, see this infographic on alcohol use in U.S. teenagers on Voronoi.

See more visuals like this on the Voronoi app. Use This Visualization Countries with the Most Spoken Languages 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 Papua New Guinea has more than double the number of living languages found across Europe. The visualization includes all established and immigrant languages currently spoken, as of 2025. Language diversity varies around the world, shaped by geography, migration, and centuries of cultural development. Some countries are home to hundreds of distinct languages, often concentrated in small communities with deep historical roots. This visualization highlights the countries with the most living languages in 2025. The data for this visualization comes from Ethnologue. Papua New Guinea Leads the World Papua New Guinea stands far above all other nations, with 841 living languages documented in 2025. Its rugged geography and isolated communities have allowed distinct languages to flourish over thousands of years. This level of linguistic diversity exceeds that of entire global regions, including Europe as a whole. The country remains the world’s most concentrated hub of linguistic heritage. RankCountryLiving Languages 1 Papua New Guinea841 2 Indonesia721 3 Nigeria538 4 India459 5 United States364 6 Australia320 7 China308 8 Mexico304 9 Cameroon281 10 Brazil240 Indonesia and Nigeria Follow as Multilingual Giants Indonesia ranks second with 721 languages, spread across its vast network of islands. Geographic separation and longstanding local cultures help maintain linguistic variety across the archipelago. Nigeria follows with 538 languages, reflecting its long-standing regional identities. Large, Culturally Diverse Nations Also Rank High India, the United States, and Australia each host hundreds of living languages. In India, linguistic diversity is tied to deep historical traditions and regional identities. Despite English being the dominant language in the U.S.—and Spanish serving as a strong second-most spoken language—the country has 364 living languages, including nearly 200 Indigenous ones. Australia’s linguistic landscape is shaped by its Aboriginal languages and multicultural migration patterns. Learn More on the Voronoi App If you enjoyed today’s post, check out Ranked: Countries Seeing the Fastest Growth in Migrant Populations on Voronoi, the new app from Visual Capitalist.

See the high-resolution version of this image by clicking here The Rise and Fall of Civilizations, on One Epic Visual Timeline 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 The famous Histomap tries to show 4,000 years of human civilization wrapped up in one epic visual. Originally created in 1931 by John B. Sparks, it shows the extent of different civilizations throughout time. The wider the column, the more influence they had at that point in history. Being made almost a century ago, the Histomap has obvious limitations in the modern context, which are discussed below. World history is extremely complicated and nuanced. And yet, there is a very human desire to put all of it in one neat and tidy package—as if we can momentarily ignore what happens at the edges—disagreements, gray areas, and unresolved debates. Creating a “single artifact” that sums up all of human history has been tried many times. Ancient writer Eusebius had a go in the 4th century. Writer H.G. Wells tried it in 1920 with The Outline of History. More recently Yuval Noah Harari saw commercial success with Sapiens, which was framed as distilling human progress into one book. Enter: The Histomap Created in 1931 by John B. Sparks, Histomap is one of the world’s most famous historical visualizations. It starts its journey 4,000 years ago in the Bronze Age, with familiar civilizations like the Egyptians, Greeks (Minoans), and Indians (Indus Valley). As you scroll through the visualization, more familiar names appear (Assyrians, Romans, Parthians, Huns, etc.) until you get to the nation states we know today. As the reader scrolls through, you can see the rise and fall of these civilizations, imagining pivotal moments like the Battle of Thermopylae or the Battle of Waterloo. You can picture the famous figures like Augustus, Alexander, Genghis Khan, George Washington, Ashoka, or Cyrus the Great shaping world affairs. It’s ambitious. It’s confident. It’s epic. But is it accurate? History is Dynamic and Always in Flux The problem with this extremely confident take is that our understanding of history changes over time. When Histomap was made, the world felt knowable and progress seemed inevitable. History was often told as a single, linear story driven by empires, leaders, and progress. Over time, however, that confidence eroded. New perspectives—from marginalized voices to systems like economics, climate, and technology—revealed history as fragmented, contested, and incomplete. We gained more data than ever before, but lost agreement on what matters most. History didn’t become messier; we simply stopped pretending it was tidy. What’s “Wrong” With the Histomap? Viewed in historical context, there is nothing inherently “wrong” with the Histomap. Judged by modern standards, however, it has clear limitations. Civilizations are shown as clearly bounded units Example: Rome appears to end in 476 AD, despite Roman law, culture, and institutions continuing for centuries in Byzantium and Europe. Political power is prioritized over social influence Example: Territorial empires dominate the chart, while the spread of religions like Buddhism or Christianity is visually secondary. The perspective is Western-centric Example: European timelines are detailed and continuous, while African and Indigenous American civilizations are compressed or simplified. History is presented as linear and settled Example: Civilizations rise and fall cleanly, leaving little room for overlap, ambiguity, or disputed transitions. The visualization reflects 1931-era knowledge Example: Later discoveries and reinterpretations—such as Göbekli Tepe or revised views of the Indus Valley—are not represented. The Urge Will Endure… Despite the aforementioned limitations above, it seems unlikely that humans will be able to resist the urge to neatly package human history in the future. We want to understand, and seeing history as one singular narrative helps us do that—even if it’s not perfect. And for that reason, the Histomap, along with similar attempts to codify human history and progress, will continue to endure.

See more visuals like this on the Voronoi app. Use This Visualization The Industries Most Reliant on Immigrant Workers 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 Immigrants in developed countries are far more concentrated in hospitality, administrative services, and construction roles. Native-born workers dominate public-sector, health, and manufacturing jobs. Immigrants play a crucial role in the labor markets of developed countries, yet their employment patterns differ significantly from native-born workers. This visualization breaks down where foreign-born workers tend to work across OECD economies. The data for this visualization comes from the OECD’s International Migration Outlook 2025. It measures the share of foreign-born and native-born workers by industry across several developed countries. Industries Where Immigrants Are Most Concentrated Hospitality and administrative services stand out with the highest immigrant share—over 16% in accommodation and food, and 17% in administrative service activities. These sectors often rely on flexible and seasonal labor, making them entry points for newcomers. Construction also shows a modest immigrant concentration, reflecting long-term demand for skilled and semi-skilled labor. Together, these industries highlight where migration most visibly supports economic activity. IndustryForeign-born (%)Native-born (%)Difference (percentage points) Accommodation and Food16.55.211.3 Administrative Service Activities17.26.510.7 Agriculture4.62.91.7 Construction8.67.61.1 Other Service Activities2.92.70.2 Arts, Entertainment and Recreation1.61.40.1 Real Estate Activities0.80.9-0.2 Mining and Quarrying0.30.5-0.2 Information and Communication2.83-0.2 Water Supply0.20.5-0.3 Electricity, Gas and Steam0.10.5-0.4 Professional Activities4.95.6-0.7 Transportation and Storage4.35.3-1 Education4.25.3-1.2 Financial and Insurance Activities1.13.2-2.2 Wholesale and Retail Trade11.515-3.5 Health6.310-3.7 Public Administration and Defense3.69.3-5.7 Manufacturing8.614.4-5.8 Industries Dominated by Native-Born Workers Public administration, health, and manufacturing show the widest gaps in favor of native-born workers. These fields typically require domestic credentials, security clearances, or lengthy training pipelines. Manufacturing also faces long-standing workforce shortages, yet remains far less accessible to immigrant workers at entry. The result is a structural divide that limits immigrant participation in some of the largest employment sectors. Neutral or Balanced Sectors A handful of industries like real estate, arts and entertainment, and other service activities show almost no difference between foreign- and native-born representation. These sectors may offer more flexible entry paths or a mix of small-business and freelance roles. Learn More on the Voronoi App If you enjoyed today’s post, check out Ranked: U.S. Job Cuts by Industry in 2025 on Voronoi, the app from Visual Capitalist.

Ranked: AI Competitiveness by Country Key Takeaways The U.S. leads global AI competitiveness by a wide margin, with China and India following. This ranking reflects not just R&D output, but economic strength, policy engagement and public awareness of AI. Smaller high‑income countries like Singapore and UAE outperform many larger economies relative to their size. The infographic above, created by Iswardi Ishak, uses data from Stanford University’s Global AI Vibrancy Tool, which aggregates dozens of indicators of national AI performance, from research output and investment to talent attraction and governance frameworks. Here’s how the world’s most AI‑competitive countries rank: RankCountryAI Vibrancy Score 1 United States78.6 2 China36.95 3 India21.59 4 South Korea17.24 5 United Kingdom16.64 6 Singapore16.43 7 Spain16.37 8 UAE16.06 9 Japan16.04 10 Canada15.56 11 Switzerland14.86 12 Luxembourg14.73 13 France14.63 14 Israel14.26 15 Germany13.15 16 Brazil12.74 17 Ireland12.49 18 Finland12.27 19 Saudi Arabia12.1 20 Portugal12.07 21 Denmark11.97 22 Netherlands11.58 23 Belgium11.36 24 Australia11.21 25 Sweden11.11 26 Malaysia11.05 27 Italy10.68 28 Russia10.67 29 Austria10.62 30 Norway10.19 At the top of the list is the United States, ahead by a significant margin. China comes in second with strong research and patent activity, while India’s rapidly growing tech ecosystem and large talent pools land it firmly in third place. Economies like South Korea, the U.K., Singapore, and Spain also score highly, highlighting how a variety of national strategies—such as Singapore’s regulatory sandbox approach or Spain’s public-sector AI adoption—can accelerate AI progress even in smaller economies. What Is the AI Vibrancy Tool? Stanford University’s Global AI Vibrancy Tool is a comprehensive dashboard designed to measure and compare how “vibrant” a country’s AI ecosystem is. Rather than focusing on a single metric, the tool uses 42 indicators across 8 pillars including research, economic competitiveness, infrastructure, policy & governance, and public opinion. This composite score helps show where innovation and talent are concentrated, and where gaps are emerging. The approach is intentionally multidimensional, blending traditional measures such as R&D output with policy engagement and responsible AI adoption. Why the U.S. and China Lead The United States tops the ranking thanks to its dominance in private investment, academic research, and AI startup activity. Its homegrown tech giants and prolific research institutions drive a significant share of global AI innovation. China follows, buoyed by rapid growth in AI publications, patent filings, and large‑scale deployment of AI technologies across industries. Despite trailing the U.S. in some areas, China continues to close the gap in model development and research output. India’s placement reflects its expanding AI talent base and robust digital ecosystem, although it still faces challenges scaling research infrastructure to match global leaders. External analyses similarly show rising engagement from Indian AI researchers and policymakers. Emerging and Regional Players Beyond the top three, many smaller but wealthy countries perform well relative to their size. Nations like Singapore and the U.K. benefit from supportive policy frameworks, strong human capital, and vibrant tech sectors. These factors help them punch above their weight in a landscape increasingly shaped by global competition.

See more visuals like this on the Voronoi app. Use This Visualization Mapped: U.S. States With the Most Data Centers in 2025 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 Virginia dominates U.S. data center infrastructure with more than 600 facilities. Network effects, cheap power, and cloud hyperscaler clusters make Northern Virginia the world’s most critical internet hub. As AI and other technologies accelerate, data centers have become increasingly important to today’s digital economy. In the U.S., the distribution of these facilities is far from even, with a few key states emerging as global powerhouses of digital infrastructure. This map highlights where these clusters have formed and why certain states—especially Virginia and Texas—have become magnets for hyperscale growth. The data for this visualization comes from Datacentermap.com. Virginia: The World’s Digital Capital With 665 data centers, Virginia hosts the largest concentration of digital infrastructure on the planet. Northern Virginia hosts massive deployments from all major hyperscalers, including AWS, Microsoft Azure, Google Cloud, Meta, Oracle Cloud. Today, dense fiber networks, reliable power, and fast permitting make Virginia nearly impossible to replicate as a data center region. RankStateData Centers 1Virginia665 2Texas413 3California321 4Illinois244 5Ohio203 6Arizona164 7Georgia163 8New York142 9Oregon137 10Washington134 11Florida126 12North Carolina110 13Iowa105 14Pennsylvania101 15New Jersey82 16Minnesota81 17Indiana79 18Nevada62 19Connecticut61 20Colorado60 20Tennessee60 22Michigan58 23Missouri55 24Massachusetts49 25Wisconsin47 26Maryland44 26Utah44 28Nebraska39 29Kentucky37 29Oklahoma37 31South Carolina30 32Montana27 33Alabama26 34Louisiana23 35New Mexico22 35North Dakota22 37Delaware19 37Kansas19 39Wyoming15 40Idaho10 40Mississippi10 40New Hampshire10 43Hawaii9 44Maine8 45District of Columbia7 45Rhode Island7 45West Virginia7 48Arkansas6 49South Dakota5 50Alaska4 51Vermont3 Texas and California Anchor Regional Growth Texas ranks second with 413 data centers, driven by abundant land, competitive electricity costs, and major cloud deployments in Dallas, Austin, and San Antonio. Its flexible grid and fast construction timelines continue to attract hyperscale expansions. California follows with 321 facilities, supported by long-standing tech ecosystems in Silicon Valley and strong enterprise demand. While power constraints limit new mega-projects, the state remains a key node for mission-critical data infrastructure. Midwestern and Western States Build Strategic Clusters States like Illinois, Ohio, Oregon, and Washington have become important secondary hubs. Illinois benefits from Chicago’s role as a central U.S. interconnection point, while Ohio has emerged as a major cloud region thanks to available land and stable power. Oregon and Washington contribute strong renewable energy potential and cooler climates that help reduce cooling costs. Learn More on the Voronoi App If you enjoyed today’s post, check out The Soaring Revenues of AI Companies (2023–2025) on Voronoi, the new app from Visual Capitalist.

See more visualizations like this on the Voronoi app. Use This Visualization Visualized: Average Monthly Salary in Major Global Cities 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. Average pay can look wildly different depending on where you live in the world—and it’s not just about job titles. This visualization compares average monthly salaries across 69 major cities worldwide in 2025, and maps out the five-year cumulative changes since 2020, using data from Numbeo via Deutsche Bank. Data & Discussion A key note on methodology: Numbeo’s underlying inputs are primarily crowdsourced, with a smaller share (