Published 6 hours ago on February 23, 2026 By Jenna Ross Graphics & Design Athul Alexander Twitter Facebook LinkedIn Reddit Pinterest Email The following content is sponsored by Terzo Inflation Shock: The Biggest Price Hikes Businesses Are Facing Key Takeaways Wholesale turkey had the largest price increase in 2025, with prices surging by 70%. Metals make up eight of the 15 commodities with the highest inflation. Before households feel inflation at the checkout line, it often starts much earlier in the supply chain. When businesses face rising input costs, those pressures can ripple outward, shaping everything from grocery bills to construction budgets.  Created in partnership with Terzo, this graphic shows where business price hikes have been the most intense. It’s part of our Markets in a Minute series, which delivers quick economic insights for executives. Commodities With the Most Sticker Shock We’ve used data from the Producer Price Index, which tracks the prices businesses pay for inputs like raw materials, energy, and intermediate goods. The table below shows which commodities had the biggest price hikes in 2025. CommodityCategoryDec. 2024 to Dec. 2025 Price Increase Wholesale TurkeyFood & Agriculture 70% Primary Metals*Metals62% Metal Ores*Metals47% Recycled Metals*Metals31% Aluminum ProductsMetals31% Aluminum ScrapMetals25% Wholesale BeefFood & Agriculture 21% Copper ScrapMetals20% Industrial GasesChemical & Industrial18% Nitrogen FertilizersChemical & Industrial18% Steel ProductsMetals17% Portfolio ManagementServices17% Fluid Power Equipment**Chemical & Industrial16% Wire and Cable*Metals15% Inedible Fats & OilsFood & Agriculture 14% *Excluding iron and steel. **Uses pressurized liquid or gas. Source: U.S. Bureau of Labor Statistics, data as of December 2025. One standout: turkeys. Businesses saw wholesale prices rise by 70% in the last year, driven by bird flu outbreaks that reduced supply. Businesses using turkey as a core input, such as deli meat producers, frozen meal manufacturers, and pet food companies will be hit particularly hard. Turkey inflation has also impacted grocers, but companies typically have not passed these prices on to consumers around Thanksgiving. Many retailers treat turkeys as a loss leader, absorbing higher costs to draw shoppers into their stores. Metals: Crowding the Leaderboard of High Inflation Notably, eight of the top 15 biggest price hikes are related to metals. Aluminum prices have been pushed higher by energy-intensive smelting costs, tariffs that have reduced supply, and high demand for the metal in everything from vehicles to AI data centers. Copper has also seen high inflation, driven by tight supply just as demand accelerates from electrification, power grids, and renewable energy infrastructure. 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Published 6 hours ago on February 23, 2026 By Ryan Bellefontaine Graphics & Design Abha Patil Twitter Facebook LinkedIn Reddit Pinterest Email The following content is sponsored by Palo Alto Where Attacks Happen in Cyber Intrusions Key Takeaways Most cyber intrusions span multiple surfaces, so detection must connect signals across layers. Identity leads the attack surface list, but endpoints and networks still enable fast pivots. The human layer remains decisive, making awareness and phishing resistance operational priorities. Cyber intrusions rarely follow a single path once attackers get a foothold. Instead, they pivot across systems to widen impact and deepen damage. This graphic, in partnership with Unit 42 by Palo Alto Networks, shows where attacks occur in cyber intrusions, based on data from the Unit 42 Global Incident Response Report. Identity Is the Practical Perimeter Here is a table that breaks intrusions into nine primary attack surfaces observed across investigations. Attack FrontIncidents Percentage Identity89% Endpoints61% Network50% Human45% Email27% Application26% Cloud20% SecOps10% Database1% In Unit 42’s sample, 87% of incidents touched at least two surfaces, and 67% hit three or more. Because the categories overlap, a single case can span multiple layers at once. Identity Dominates, but the “Human Layer” Still Drives Risk Identity appears in 89% of cases, making it the most common surface in the dataset. Meanwhile, endpoints (61%) and networks (50%) remain common launch points for lateral movement.Email (27%) and applications (26%) sit mid-pack, while cloud services appear in 20% of incidents. Still, even “lower” categories matter when attackers chain small wins into bigger access. Humans show up in 45% of incidents, often through user-driven activity that enables the next pivot. Integrated Defenses Beat Siloed Tools Multi-surface activity means point solutions can miss context when attackers hop layers. Teams need shared signals across identity, endpoint, network, app, and cloud to spot chained actions early. SecOps appears in 10% of cases, so attackers sometimes probe security operations tooling and workflows. As a result, integrated detection and response helps contain movement before it reaches databases, which appear in 1% of incidents. See why cyberattacks are getting 4x faster Related Topics: #technology #cyberattacks #phishing #cyber intrusions #social engineering You may also like Privacy6 days ago Visualized: How Cyberattackers Gain Access See how cyberattackers gain access by abusing identity, credentials, sessions, and permissions—and what to fix first. Subscribe Please enable JavaScript in your browser to complete this form.Join 375,000+ email subscribers: *Sign Up

See more visuals like this on the Voronoi app. Use This Visualization Trust in the U.S. Government Fell From 77% to 17% 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 Public trust in the U.S. federal government fell from 77% in 1964 to 17% in 2025, according to Pew Research. Trust has rarely topped 30% since the early 2000s, with brief spikes during national crises like 9/11. Over the past seven decades, Americans’ trust in the federal government has dropped from postwar highs to historic lows. In 1964, 77% said they trusted Washington to do what is right most of the time. As of September 2025, that figure stands at just 17%. The chart above tracks this long-term shift, using data from Pew Research Center. While trust has occasionally surged during moments of national crisis, the broader trajectory shows a steady erosion across generations. From Postwar Highs to Vietnam-Era Decline Trust peaked in 1964, when 77% of Americans said they trusted the federal government most of the time. Even in 1958, nearly three-quarters of the public expressed confidence in the federal government. That began to change in the late 1960s and early 1970s. By 1970, trust had fallen to 54%, and it slipped further to 36% by 1974 in the aftermath of Watergate. The Vietnam War, political scandals, and economic turbulence reshaped public opinion for decades to come. DateTrust the government (%) 9/28/202517 2/9/202519 5/19/202418 6/11/202319 05/01/202220 4/11/202121 8/2/202024 4/12/202021 3/25/201917 12/04/201718 4/11/201719 10/04/201518 7/20/201419 2/26/201418 11/15/201320 10/13/201319 5/31/201320 02/06/201322 1/13/201323 10/31/201219 10/19/201117 10/04/201115 9/23/201118 8/21/201121 2/28/201123 10/21/201023 10/01/201021 09/06/201023 09/01/201023 04/05/201023 04/05/201022 3/21/201024 2/12/201022 02/05/201021 1/10/201020 12/20/200921 8/31/200922 6/12/200923 12/21/200825 10/15/200824 10/13/200824 07/09/200724 01/09/200728 10/08/200629 9/15/200630 02/05/200631 1/20/200633 01/06/200632 12/02/200532 9/11/200531 09/09/200530 6/19/200535 10/15/200439 7/15/200441 3/21/200438 10/26/200336 7/27/200343 10/15/200246 09/04/200246 09/02/200240 7/13/200240 6/17/200243 1/24/200246 12/07/200149 10/25/200154 10/06/200149 1/17/200144 10/31/200038 10/15/200042 07/09/200039 04/02/200038 2/14/200034 10/03/199936 9/14/199933 5/16/199933 2/21/199931 2/12/199932 02/04/199934 1/10/199934 01/03/199937 12/01/199833 11/15/199830 11/01/199826 10/26/199828 8/10/199831 2/22/199835 02/01/199833 1/25/199832 1/19/199832 10/31/199731 8/27/199731 06/01/199726 1/14/199727 11/02/199627 10/15/199628 5/12/199631 05/06/199629 11/19/199527 08/07/199522 08/05/199521 3/19/199520 2/22/199521 12/01/199421 10/29/199422 10/23/199420 06/06/199419 1/30/199420 1/20/199422 3/24/199325 1/17/199325 1/14/199325 10/23/199225 10/15/199225 06/08/199229 10/20/199135 03/06/199142 03/01/199146 1/27/199140 12/01/199033 10/28/199032 09/06/199035 1/16/199038 6/29/198939 1/15/198941 11/10/198843 10/15/198841 1/23/198840 10/18/198743 06/01/198743 03/01/198744 1/21/198743 1/19/198742 12/01/198644 11/30/198643 09/09/198644 1/19/198644 11/06/198543 7/29/198542 3/21/198540 2/27/198542 2/22/198545 11/14/198444 10/15/198441 12/01/198239 11/07/198032 10/15/198030 3/12/198027 11/03/197928 12/01/197831 10/23/197732 4/25/197734 10/15/197636 09/05/197635 6/15/197635 03/01/197634 02/08/197635 12/01/197436 10/15/197253 12/01/197054 10/15/196862 12/01/196665 10/15/196477 12/01/195873 Temporary Surges During National Crises Although the long-term trend is downward, trust has occasionally rebounded during moments of national unity. After the 9/11 attacks, trust jumped from 44% to 54% in a matter of months. It was one of the last times a majority expressed confidence in Washington. Similar, though smaller, increases occurred during other crises. In early 2020, trust briefly rose to 24% amid the COVID-19 outbreak. However, these bumps have proven short-lived, with trust quickly returning to lower levels. A New Era of Persistent Low Trust Since the mid-2000s, trust in government has rarely crossed the 30% mark. In the 2010s and early 2020s, it often dipped below 20%. As of September 2025, just 17% of Americans say they trust the federal government most of the time — near the lowest level recorded in Pew’s time series. Learn More on the Voronoi App If you enjoyed today’s post, check out America’s Growing Mountain of Debt on Voronoi, the new app from Visual Capitalist.

See more visualizations like this on the Voronoi app. Use This Visualization Mapped: The U.S. States With the Most Tech Jobs 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 top three states (CA, NY, TX) alone account for over 1 million tech jobs, highlighting how concentrated the industry remains. Washington (171,000) and Florida (161,000) round out the top five, forming a clear upper tier well ahead of the rest of the country. Utah (+6.3%), Illinois (+5.7%), and South Carolina (+4.8%) posted the fastest annual growth rates, signaling momentum beyond the largest tech hubs. California alone employs more than half a million tech workers, nearly twice as many as the next closest state. This map shows where America’s tech jobs are located in 2025, highlighting how heavily the industry is concentrated in just a handful of states. Figures are based on Bureau of Labor Statistics data via Arizona State University. Ranked: Tech Jobs by State in 2025 Nationwide, tech employment totals roughly 3.2 million workers in 2025. In the below table, we break down the number of tech jobs in each state, along with its growth rate over the last year. RankStateNumber of Jobs 2025 Annual Job Growth 1California524K-2.8% 2New York286K0.0% 3Texas226K-2.0% 4Washington171K3.0% 5Florida161K0.5% 6Georgia112K-6.7% 7Illinois98K5.7% 8Massachusetts92K0.3% 9Pennsylvania88K-2.0% 10North Carolina85K-0.9% 11Colorado77K4.6% 12New Jersey70K-4.5% 13Virginia69K-4.2% 14Ohio67K1.4% 15Michigan57K-0.4% 16Tennessee55K-0.7% 17Wisconsin48K-1.6% 18Arizona48K-0.6% 19Missouri45K-2.8% 20Utah44K6.3% 21Minnesota41K-4.2% 22Oregon36K-0.8% 23Maryland34K-1.2% 24South Carolina31K4.8% 25Connecticut30K-0.7% 26Indiana26K-1.1% 27Alabama23K0.4% 28Kentucky21K-1.0% 29Nevada20K-0.5% 30Oklahoma18K2.3% 31Louisiana18K-4.7% 32Iowa18K0.0% 33Kansas18K2.3% 34Nebraska17K-2.3% 35Arkansas12K-4.1% 36New Hampshire11K-0.9% 37Mississippi10K-1.0% 38Idaho9K0.0% 39New Mexico9K-11.0% 40Hawaii8K-2.4% 41West Virginia8K-1.3% 42Maine8K-4.8% 43North Dakota5K1.9% 44Montana5K-5.3% 45South Dakota5K0.0% 46Rhode Island5K-7.1% 47Vermont4K-6.5% 48Alaska4K-4.7% 49Delaware4K0.0% 50Wyoming3K-3.3% With 524,000 tech workers, California employs 18% of the nation’s tech workforce across over 61,000 firms. Still, the state shed thousands of tech jobs last year, given economic uncertainty and the spillover effects of AI. Overall, tech jobs contracted 2.8% in 2025. New York follows, with 286,000 tech workers, equal to one in 10 jobs nationwide. In 2025, tech job growth was effectively flat. Ranking in third is Texas, with tech employment standing at 226,000. As a growing tech hub, the state has added over 26,000 roles in the sector since 2020. Last year, however, the number of roles contracted by 2%. In contrast to these heavyweight states, several smaller tech hubs posted strong job growth. Utah’s tech workforce totals just 44,000, yet employment climbed 6.3% in 2025. Illinois, South Carolina, and Colorado—each with fewer than 100,000 tech jobs—saw gains of 5.8%, 4.8%, and 4.6%, respectively. Learn More on the Voronoi App To learn more about this topic, check out this graphic on the world’s top 50 science and technology clusters.

Charted: Who Believes in Aliens, Bigfoot and the Chupacabra? 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 56% of Americans say aliens definitely or probably exist. Only 28% believe Bigfoot exists, while 16% believe in the chupacabra. Belief in the unknown, whether extraterrestrials or legendary creatures, remains surprisingly common in America. The visualization above, created by Julie Peasley using data from YouGov, explores how likely U.S. adults think it is that aliens, Bigfoot, and the chupacabra exist. Here’s how Americans responded when asked how likely each being exists, according to YouGov: EntityDefinitely ExistsProbably ExistsProbably Does Not ExistDefinitely Does Not ExistNot Sure Aliens18%38%16%15%14% Bigfoot4%24%27%33%12% The Yeti3%20%28%32%17% Chupacabra3%13%29%31%24% Loch Ness Monster3%19%29%35%14% Aliens clearly stand apart. A majority (56%) say extraterrestrials definitely or probably exist, more than double the share who believe in Bigfoot, and more than triple belief in the chupacabra. Aliens: From Fringe to Mainstream? Interest in extraterrestrial life has grown steadily, fueled by government disclosures and increased reporting on unidentified aerial phenomena (UAPs). According to YouGov, 56% of Americans say aliens definitely (18%) or probably (38%) exist. That makes extraterrestrials far more plausible in the public mind than either Bigfoot or the chupacabra. YouGov’s polling also finds that roughly half of Americans believe aliens have visited Earth. In addition, about one-third say UFO sightings are evidence of alien spacecraft, while others attribute them to natural phenomena, secret military technology, or optical illusions. Demographic differences are notable. Younger Americans are generally more likely to believe in extraterrestrials than older cohorts, and men tend to express higher levels of belief than women. Taken together, the data suggests that belief in aliens has moved well beyond the fringe. While skepticism remains, the idea that intelligent life exists somewhere beyond Earth is now a mainstream view in the United States. Globally, belief varies widely. We previously mapped the countries that believe in aliens the most, showing that views differ significantly across regions and cultures. Bigfoot: America’s Favorite Cryptid Bigfoot, also known as Sasquatch, is a legendary ape-like creature said to inhabit forests in North America. While 28% of Americans say Bigfoot probably or definitely exists, a larger share (60%) say it probably or definitely does not. Compared to aliens, belief in Bigfoot is far more polarized, with fewer “not sure” responses. Despite the skepticism, Bigfoot remains deeply embedded in pop culture, particularly in the Pacific Northwest. What Is the Chupacabra? The chupacabra, which translates to “goat sucker” in Spanish, is a cryptid said to attack livestock, particularly in Latin America and the southern United States. Only 16% of Americans believe it exists, while 60% say it likely or definitely does not. Notably, nearly a quarter (24%) say they are not sure, which is a higher uncertainty than for aliens or Bigfoot. This suggests that while the chupacabra is less widely believed, it remains a mysterious figure in American folklore. Learn More on the Voronoi App Curious how beliefs in extraterrestrials connect to UFO sightings? Explore One Third of Americans Believe UFO Sightings are Aliens on the Voronoi app for more data-driven insights into what Americans think about life beyond Earth.

See more visualizations like this on the Voronoi app. Use This Visualization Mapped: Where Food Insecurity Is Highest, State by State 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 Arkansas (19.4%), Kentucky (18.8%), and Louisiana (17.7%) report the highest shares of food-insecure households. Texas (11.5 million households total) combines a high rate (17.6%) with a large population. California, while closer to the national average (12.5%), has roughly 14 million food-insecure households. In parts of the United States, nearly one in five households struggle to afford enough food. The latest data from the U.S. Department of Agriculture (USDA) reveals stark geographic divides in food insecurity across the country. While the national average sits at 13.3%, several states—concentrated largely in the South—report rates far above that level. This map breaks down where food insecurity is highest by state, highlighting the regional inequalities shaping access to basic necessities in America today. Ranked: Food Insecurity Rates by State For the analysis, the USDA surveyed 32,719 households between 2022 and 2024 on their level of food insecurity. Food insecurity is considered as the lack of consistent access to enough nutritious food, driven by limited financial resources. The table below shows state averages over the period. RankStateShare of HouseholdsAverage Number of Households 1Arkansas19.4%1.3M 2Kentucky18.8%1.8M 3Louisiana17.7%1.9M 4Texas17.6%11.5M 5Mississippi17.3%1.2M 6Oklahoma16.9%1.6M 7Wyoming15.6%0.2M 8Nevada15.0%1.3M 9Michigan14.7%4.2M 10Georgia14.6%4.3M 11New Mexico14.5%0.9M 12Ohio14.2%4.9M 13West Virginia14.1%0.7M 14New York14.0%7.9M 15Indiana13.7%2.8M 16South Carolina13.5%2.3M 17Florida13.3%9.3M 18Illinois13.3%5.1M 19Missouri13.3%2.6M 20Tennessee13.3%3.0M 21Arizona13.1%2.9M 22Alaska13.0%0.3M 23Maine12.9%0.6M 24Nebraska12.7%0.8M 25Idaho12.6%0.8M 26California12.5%14.0M 27Kansas12.5%1.2M 28Oregon12.5%1.7M 29Virginia12.4%3.5M 30Alabama12.1%2.1M 31Connecticut12.1%1.4M 32Wisconsin12.0%2.5M 33North Carolina11.8%4.4M 34Massachusetts11.7%2.8M 35Montana11.7%0.5M 36Maryland11.5%2.3M 37Utah11.5%1.2M 38Washington11.0%3.2M 39Pennsylvania10.9%5.3M 40Delaware10.8%0.4M 41Hawaii10.8%0.5M 42Iowa10.8%1.4M 43Rhode Island10.6%0.4M 44Colorado10.5%2.4M 45District of Columbia10.3%0.3M 46Minnesota9.9%2.3M 47New Jersey9.8%3.6M 48South Dakota9.5%0.4M 49Vermont9.4%0.3M 50New Hampshire9.1%0.6M 51North Dakota9.0%0.3M Arkansas reports the highest rate at 19.4%, followed by Kentucky (18.8%), Louisiana (17.7%), Texas (17.6%), and Mississippi (17.3%). Many of these states also have lower median household incomes, higher poverty rates, larger rural populations, and greater reliance on public assistance programs. This overlap suggests food insecurity is closely tied to broader structural economic conditions, rather than short-term fluctuations alone. By contrast, states like North Dakota (9.0%), New Hampshire (9.1%), and Vermont (9.4%) report rates closer to one in 10 households. The result is a more than 10 percentage-point gap between the highest and lowest states. Large States Shape the National Picture While percentages tell one part of the story, population size tells another. Texas, for example, combines a high food insecurity rate (17.6%) with more than 11 million households, meaning millions of families are affected. California, with approximately 14 million households, reports a rate of 12.5%, yet still accounts for a substantial share of food-insecure households due to its size. Learn More on the Voronoi App To learn more about this topic, check out this graphic on the number of households living in poverty by state.

See more visualizations like this on the Voronoi app. Use This Visualization Mapped: The Countries With the Most McDonald’s Per Person 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 McDonald’s is found in 100 markets worldwide, but is easiest to find in Macau (56.8 locations per one million people), Saint Martin (43.2), and the United States (38.6). Despite their similar populations, China has 10x the number of McDonald’s locations as India. McDonald’s has had an unstoppable rise over the last six decades on its path to become the world’s most successful fast food chain, with locations across the world. But which countries have the most McDonald’s locations per person? This world map highlights the classic burger chain’s worldwide presence by counting how many McDonald’s locations each country has per 1 million people. The data for this map comes from the company’s Restaurant Count by Market 2024 report. Burger-lovers and shake aficionados can find the famed golden arches across the world, albeit with relatively more ease in high-density markets like Australia, Canada, Macau, and the United States. McDonald’s Locations Per Person, by Country Among large countries, the U.S. is a natural McDonald’s hub, hosting 38.6 locations for each million inhabitants. This is third only to the small Chinese special administrative region of Macau (56.8) and the Caribbean island of St. Marten (43.2). This data table below demonstrates how many McDonald’s each country hosts per million citizens: CountryMcDonald's locations per one million people Macau56.8 St. Maarten43.2 United States (Includes Cuba, Guam, and Saipan)38.6 Australia (Includes American Samoa, Fiji, New Caledonia, Tahiti, and Western Samoa)37.2 Canada36.1 Virgin Islands34.8 Hong Kong34.6 New Zealand32.5 Curacao32.1 Puerto Rico29.3 Aruba27.8 Martinique27.8 Qatar27.6 Singapore25.2 Japan24.1 Guadeloupe23.4 France (Includes Monaco)23.2 Israel23.1 Austria22.4 United Kingdom (Includes Isle of Man, Jersey, Northern Ireland, Scotland, and Wales)21.2 Bahrain20.8 Switzerland (Includes Liechtenstein)20.3 Reunion Island20.1 Portugal19.5 United Arab Emirates19.1 Denmark18.9 Sweden18.8 Kuwait18.6 Panama17.9 Taiwan17.8 Luxembourg17.7 Ireland17.6 Cyprus16.9 Germany16.4 Poland15.9 Malta15.8 Norway15.3 Costa Rica14.8 Netherlands14.6 Finland14.4 Mauritius13.6 Slovenia13.2 Spain (Includes Andorra and Gibraltar)13.0 Brunei13.0 Italy12.8 Saudi Arabia12.5 Croatia12.2 Hungary12.0 Czech Republic11.7 Malaysia10.5 French Guiana10.1 Uruguay10.0 Belgium10.0 Slovakia8.7 Estonia8.0 South Korea7.7 Latvia7.5 Bahamas7.5 Philippines6.8 Georgia6.8 Bulgaria6.7 Oman6.6 South Africa6.3 Guatemala6.2 Lithuania6.2 Chile5.7 Romania5.6 Brazil5.5 Serbia5.5 Argentina4.9 Mainland China4.8 Moldova4.6 Jordan4.0 Lebanon4.0 El Salvador3.9 Paraguay3.9 Greece3.4 Thailand3.3 Ukraine3.3 Turkey3.2 Suriname3.2 Trinidad/Tobago2.9 Mexico2.9 Azerbaijan2.8 Venezuela2.8 Dominican Republic2.0 Morocco2.0 Ecuador1.9 Egypt1.6 Colombia1.4 Nicaragua1.3 Honduras1.2 Indonesia1.1 Peru0.9 India0.5 Vietnam0.4 Pakistan0.3 Macau’s neighbor, Hong Kong, is also home to many McDonald’s locations in a short area, while Australia, Canada, and New Zealand can all boast having at least 32 locations per each million of their inhabitants. Asia’s Divide in McDonald’s Locations McDonald’s has clearly had far better success penetrating the markets of East Asia over South Asia. For proof of this, look only to Asia’s two giants, China and India. Despite having a similar population of over 1.4 billion people, China today hosts nearly 5 McDonald’s locations per each million of its citizens, a 10x multiplier over neighboring India’s mere 0.5 figure. Even slightly smaller neighboring countries hold true to this division of success. Japan is home to the third-most McDonald’s locations worldwide, and features 24.1 sites per million people, while Pakistan is the country with the fewest per-capita locations in the world, at just 0.3. Regions with the Most Market Potential for McDonald’s While McDonald’s has found significant successes across Eurasia and the Americas, Africa and the Middle East serve as the prime markets for future expansion. Africa’s largest country, Egypt, has merely 1.6 per-capita locations, slightly behind Morocco (2) and South Africa (6.3). These three countries are the only ones to host the golden arches anywhere on the continent, over 30 years after the company made its African market entry. Meanwhile, Qatar (27.6) and Israel (23.1) hold the most per-capita locations in the Middle East, and Kuwait (10.6) is home to the chain’s largest Middle Eastern location. For McDonald’s, there remains ample room for growth in the coming years. Learn More on the Voronoi App If you enjoyed today’s post, check out The 50 Largest Cities in Africa by Population on Voronoi.

See more visualizations like this on the Voronoi app. Use This Visualization Arctic Ice Loss Since 1980, Compared to Countries 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 Arctic has lost 1.1 million square miles of sea ice since 1980, roughly the size of Argentina. At current trends, it could see nearly ice-free summers by 2050. Since 1980, the Arctic’s summer sea ice has shrunk at a rate of 12.2% per decade, dramatically reshaping the polar region and opening new geopolitical and shipping dynamics. This graphic shows the size of Arctic ice loss since 1980 compared to country land masses, based on data from NASA and the World Bank Group. With such significant amounts of ice loss, these changes to the Arctic are opening up global shipping routes, which can be half as long as traditional routes. How Much Arctic Ice Has Melted? Arctic sea ice fluctuates over the course of the year, with the most shipping activity occurring when it is at its smallest point, known as its annual minimum ice extent. This annual minimum ice extent has shrunk the equivalent of tens of thousands of square miles each year. Below, we compare the change in minimum ice extent from 1980 to 2025 to the world’s largest countries by land area: CountryLand Area (Millions of Square Miles) Russia6.2 China3.6 U.S.3.5 Canada3.4 Brazil3.2 Australia3.0 India1.2 Arctic Ice Loss (1980-2025)1.1 Argentina1.1 Kazakhstan1.0 Algeria0.9 DRC0.9 Saudi Arabia0.8 Mexico0.8 Indonesia0.7 Sudan0.7 In 1980, the Arctic’s minimum ice extent was 1.1 million square miles (2.8 million km²) larger than it was in 2025. Given this rapid ice melt, the Arctic region is projected to be “ice-free” in the summer as soon as 2050. Not only has Greenland been under intense focus, but the Arctic region will become increasingly important for shipping, security, and economic reasons. How Global Powers are Preparing for an Ice-Free Arctic Today, multiple countries including China, Russia, Europe, and the U.S. have developed national strategies for the Arctic region given its growing geopolitical importance. In 2018, China introduced the idea of a “Polar Silk Road,” centered on the Northern Sea Route. This Arctic passage could reduce travel time by nearly 20 days compared to the Suez Canal and is about 40% shorter for ships traveling between China and Northern Europe. Moreover, the Arctic holds an estimated 412 billion barrels of undiscovered oil. Greenland’s rare earth reserves alone are estimated to be 1.5 million metric tons, the eighth-highest in the world. While there has been no rare earth production, melting ice could present huge opportunities should local regulations ease. Learn More on the Voronoi App To learn more about this topic, check out this map explainer on the territory of Greenland.

Published 2 hours ago on February 21, 2026 By Cody Good Graphics & Design Jennifer West Twitter Facebook LinkedIn Reddit Pinterest Email The following content is sponsored by Dubai Future Forum Beyond the Depths: Exploring the Ocean’s Future Key Takeaways Exploring the ocean is key to identifying the 0% of marine species estimated yet to be discovered, holding immense scientific and commercial potential. Ocean investment opportunities are projected to exceed $3 trillion as new technologies and solutions emerge. The ocean has long been a frontier of mystery and untapped promise. Covering over 70% of the planet, it plays a critical role in climate regulation, biodiversity, and global trade. Despite this, much of the ocean remains unexplored, creating both risks and opportunities as humanity looks to the future. In partnership with Dubai Future Forum, this graphic shows how exploration, investment, and innovation are converging to transform our understanding of the ocean. It’s one of four dimensions—Ocean, Mind, Space, and Land—within the Forum’s larger theme, Exploring the Unknown. The data comes from these sources: Seabed 2030 World Register of Marine Species OECD UNCTAD Morgan Stanley The Global 50 Report by Dubai Future Foundation. Exploring the Ocean The ocean’s seafloor remains largely uncharted, with just over 27% mapped to modern standards. Strikingly, the remaining 73% of unmapped seafloor is larger than all Earth’s landmass combined. Without detailed ocean maps, humanity remains blind to features that may influence everything from tectonic activity to biodiversity hotspots. Biodiversity: Discovering Ocean Life Every year, ocean scientists identify and catalog thousands of new marine species, yet they estimate that 91% of ocean life remains unidentified. Here is a table that shows known cumulative discovered marine species over time: YearCumulative Discovered Marine Species 17601,477 17803,646 18008,094 182015,299 184030,492 186059,687 188088,253 1900121,236 1920157,149 1940188,913 1960213,705 1980252,738 2000293,526 2020338,584 2025347,360 Each discovery made while exploring the oceans adds to our scientific understanding and may unlock potential for breakthroughs in medicine and technology. The Blue Economy’s Rising Tide Financial commitments to ocean-related initiatives doubled between 2010 and 2023. Morgan Stanley projects even greater potential for the future with over $3 trillion in ocean investment opportunities to add to the global economy. Here is a table that shows ocean funding by sector, comparing 2010 to 2023: Sector2010 ($ Millions)2023 ($ Millions) Maritime Transport1,0522,418 Marine Fisheries & Other Industries392743 Marine Protection372990 Other115515 Health & Rehabilitation400101 Ocean Policy & Management180138 Energy & Minerals5138 The largest opportunity is in decarbonizing marine transportation valued at $1,200B, followed by marine ecosystem protection ($1,100B), renewable energy ($840B), and sustainable aquaculture ($225B). Looking Ahead: The Future of Oceans The ocean’s future is being driven by rapid advances in pollution remediation and energy developments. To continue exploring the ocean and its biggest emerging opportunities shaping the future with the Dubai Future Foundation’s Global 50 report. Learn more about the Dubai Future Forum. You may also like Innovation4 weeks ago Ranked: How Global R&D Spending Growth Has Shifted Since 2000 As global R&D spending hits all-time highs, we rank the top 20 countries with the fastest-growth in R&D expenditure since 2000. Technology5 months ago Ranked: The World’s Most Innovative Countries in 2025 Explore the most innovative countries in 2025, with Switzerland, South Korea, and China making major moves in the Global Innovation Index. Technology8 months ago Charted: The Rise of China’s R&D Spending China’s R&D spending has grown nearly sixfold in the last two decades. Innovation8 months ago Mapped: The Top 50 Global Science and Technology Clusters Asia dominates the global innovation landscape, with 15 of the top 50 science and technology clusters in China. Innovation10 months ago These 18 Industries Could Reshape the Global Economy by 2040 Discover the biggest industries in 2040, from AI to biotech, as emerging sectors generate up to $48 trillion in revenue. Maps1 year ago Mapped: Venture Capital Deal Value by Region (1997 vs. 2023) In the last two decades, Asia has overtaken Europe when it comes to cornering venture capital deals. China is a big part of that success. 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 Mapped: The Share of Each Country That Lives in Its Largest City 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 In some countries, nearly 100% of urban residents live in a single city. In giants like the U.S., China, and India, less than 10% live in their largest metro. Globally, just 16% of urban residents live in their country’s biggest city. In some nations, one city towers over the rest. In others, populations are spread across multiple large metros with no single dominant hub. This map shows the share of each country’s urban population living in its largest city, revealing where megacities dominate and where people are far more dispersed. The data for this map comes from the World Bank. Globally, only 16% of urban residents live in their country’s largest city, suggesting that in most places, population and economic activity are distributed across several urban centers rather than concentrated in just one. The Most Heavily-Concentrated Countries Worldwide The city-state of Singapore, alongside the two Chinese special administrative regions of Hong Kong and Macau, top the list, while giants like China, India, Russia, and the United States see less than 10% of their population reside in their largest cities. This data table below shows each country’s share of urban population living in the country’s largest city: CountryShare of urban population living in the country's largest city Hong Kong SAR, China100% Macao SAR, China100% Singapore100% Eritrea91% Puerto Rico (U.S.)81% Paraguay74% Trinidad and Tobago74% Djibouti71% Guinea-Bissau68% Kuwait68% Mongolia68% Panama68% Congo, Rep.67% Liberia56% Armenia55% Uruguay55% North Macedonia54% Burkina Faso50% Mauritania50% Israel49% Togo49% Georgia48% Latvia48% Estonia47% Haiti47% Bahrain46% Lebanon46% Moldova46% Portugal46% Egypt, Arab Rep.45% Kyrgyz Republic45% Afghanistan43% Dominican Republic43% Bangladesh42% Central African Republic42% Azerbaijan41% Chile40% Oman40% Guinea39% Madagascar39% Mali39% Peru39% Albania38% Gabon38% Greece38% New Zealand38% Argentina37% Burundi37% Equatorial Guinea37% Ireland37% Sudan37% Tajikistan37% Angola36% Costa Rica36% Jamaica36% Malawi36% Congo, Dem. Rep.35% Senegal35% Cote d'Ivoire34% Myanmar34% Sierra Leone34% Serbia34% Zambia34% Cambodia33% Tanzania33% United Arab Emirates32% Finland32% Japan32% Malaysia32% Namibia32% Austria31% Guatemala31% Croatia31% Kenya31% Niger31% Rwanda30% Chad30% Belarus29% Cameroon29% Qatar29% Tunisia29% Colombia28% Ecuador28% Gambia, The28% Bulgaria27% Lithuania27% Nicaragua27% Denmark26% Hungary26% Papua New Guinea26% Saudi Arabia26% Somalia, Fed. Rep.26% Turkmenistan26% Uganda26% Cuba25% Honduras25% Iraq25% Thailand25% Viet Nam25% Korea, Rep.24% Lao PDR24% Norway24% El Salvador24% Zimbabwe24% Philippines23% Yemen, Rep.23% Australia22% Bolivia22% Mexico22% Belgium21% Bosnia and Herzegovina21% France21% Jordan21% Turkiye21% Canada19% Switzerland19% Ghana19% Korea, Dem. People's Rep.19% South Sudan19% Ethiopia18% Libya18% Pakistan18% Romania18% Sweden18% Benin17% Czechia17% Spain17% United Kingdom17% Morocco17% West Bank and Gaza17% European Union16% Kazakhstan16% South Africa16% Mozambique15% Slovak Republic15% Syrian Arab Republic15% Iran, Islamic Rep.14% Sri Lanka14% Uzbekistan14% Brazil12% Russian Federation12% Venezuela, RB12% Italy11% Nigeria11% Ukraine11% Algeria8% Nepal8% Poland8% Indonesia7% India7% Netherlands7% United States7% Germany5% China3% Even within similar regions, there are clear gaps. Roughly a fifth of Britons, Spaniards, and Frenchmen reside in their national capitals and largest cities; in contrast, Germans and Poles are far more spread out across their countries. Across the 27-member European Union, no subregion is more concentrated than the Baltic states: Estonia and Latvia lead the continent with 47-48% of their populations residing in the national capitals of Tallinn and Riga. Disparate Population Distribution in the Americas North and South America are home to some of the world’s largest cities, from São Paulo and Mexico City to New York and Toronto. Yet in each of these cases the sprawling metropolises tend to actually hold a smaller share of the citizenry than smaller capital cities such as Lima, Asuncion, or Montevideo. For many countries in the region, such as Argentina or Colombia, post-independence history has been fraught with concerns over centralization versus decentralization. What are Primate Cities? The term “primate city” was first coined in 1939 by geographer Mark Jefferson to describe any city that is “at least twice as large as the next largest city and more than twice as significant” within a given country. Modern capitals such as Algiers, Paris, Bangkok, and Buenos Aires are classic primate city case studies, serving as the economic, demographic, and social centers of their respective countries. Countries with primate cities often see a heavy concentration of economic output, infrastructure, and internal migration in one metropolitan area. By contrast, federal systems such as Brazil, India, and the United States tend to develop multiple large cities that balance national influence. Learn More on the Voronoi App If you enjoyed today’s post, check out The 50 Largest Cities in Africa by Population on Voronoi.

See more visuals like this on the Voronoi app. Use This Visualization Ranked: The World’s 10 Deadliest Viruses by Fatality Rate 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 Rabies has a near-100% fatality rate once symptoms develop, though infections are largely preventable with early treatment. Most of the world’s deadliest viruses originate in animals, including bats, rodents, camels, and birds. Some viruses infect millions but kill relatively few. Others spread less widely yet prove far more lethal once contracted. This graphic ranks 10 of the world’s deadliest viruses by case fatality rate: the percentage of infected people who die from the disease. Rabies tops the list, with a fatality rate approaching 100% once symptoms appear. The data for this visualization comes from various sources such as the World Health Organization (WHO), the BC Centre for Disease Control, the Australian Government, the European Centre for Disease Prevention and Control, Reuters, and the UK Government. Rabies: Almost Universally Fatal The virus kills an estimated 59,000 people per year, primarily in Africa and Southeast Asia. The virus spreads primarily through the saliva of infected animals, especially dogs. Despite being vaccine-preventable, rabies still causes thousands of deaths, mainly in Africa and Southeast Asia. Limited access to post-exposure treatment is a key reason for its continued toll. VirusFatality RateHuman Death Toll Rabies~100%59,000 per year B Virus (Herpes B)80%21 total deaths Lujo Virus80%4 total deaths Nipah Virus40–75%600 total deaths Hendra Virus57%4 total deaths Ebola50%15,000+ total deaths Marburg Virus50%470+ total deaths H5N1 (Avian Influenza)50%477 total deaths Crimean-Congo Hemorrhagic Fever (CCHF)10–40%1,000–2,000 per year MERS-CoV36%959 total deaths Hemorrhagic Fevers: Ebola, Marburg, and CCHF Several of the viruses on the list cause viral hemorrhagic fevers, including Ebola, Marburg, and Crimean-Congo hemorrhagic fever (CCHF). These diseases often lead to severe internal bleeding and organ failure. Ebola and Marburg both have fatality rates around 50%, with outbreaks concentrated in Central and Sub-Saharan Africa. The 2014–2016 West Africa Ebola outbreak alone killed over 11,000 people and brought global attention to epidemic preparedness. CCHF, transmitted primarily through ticks and livestock, is more geographically widespread across Eurasia and Africa. While its fatality rate ranges from 10–40%, it causes an estimated 1,000–2,000 deaths annually. Zoonotic Spillover: From Bats to Camels Most of the viruses ranked here originate in animals. Fruit bats are linked to Nipah and Marburg viruses, while rodents are associated with Lujo virus. Camels are the primary reservoir for MERS-CoV, first identified in Saudi Arabia in 2012. Avian influenza (H5N1) spreads from infected birds and has a roughly 50% fatality rate among confirmed human cases—far higher than seasonal flu. Although human infections remain relatively rare, the high case fatality rate has kept global health authorities on alert. Learn More on the Voronoi App If you enjoyed today’s post, check out Countries With the Biggest Gains in Life Expectancy on Voronoi, the new app from Visual Capitalist.

Charted: South Korea’s Aging Population Key Takeaways Over 150 years, South Korea’s age structure shifts from youth-heavy to senior-dominated. By 2100, nearly 40% of the population is projected to be 65 or older. In 1950, South Korea’s population was overwhelmingly young. By 2100, nearly four in ten residents are projected to be 65 or older. This visualization, created by Oscar Leo of DataCanvas using data from the UN World Population Prospects 2024, shows how South Korea’s age distribution evolves year by year across a 150-year span. The result is one of the most dramatic demographic transformations ever recorded in a developed economy. Age Distribution by Year (1950-2100P) Below we can see how the population distribution changes each year between 1950 and the 2100 projection. Year0–910–1920–2930–3940–4950–5960–6970–7980–89 195029.9%22.3%15.1%12.0%9.1%6.5%3.6%1.1%0.3% 195129.5%23.1%14.9%11.9%9.1%6.4%3.7%1.1%0.3% 195229.1%23.7%14.9%11.9%9.2%6.2%3.7%1.1%0.2% 195328.8%23.9%14.9%12.0%9.2%6.1%3.7%1.1%0.2% 195428.8%23.8%15.1%12.1%9.2%6.0%3.8%1.1%0.2% 195528.9%23.4%15.4%12.1%9.2%5.9%3.8%1.2%0.1% 195629.1%23.1%15.7%12.1%9.1%5.8%3.8%1.2%0.1% 195729.3%22.6%16.1%12.0%9.0%5.8%3.7%1.3%0.2% 195829.7%21.9%16.6%11.9%8.9%5.8%3.7%1.3%0.2% 195930.3%21.2%16.9%11.8%8.7%5.8%3.7%1.4%0.2% 196030.8%20.6%17.2%11.7%8.6%5.9%3.6%1.4%0.2% 196131.4%20.1%17.3%11.6%8.6%5.9%3.5%1.5%0.2% 196231.9%19.8%17.3%11.5%8.5%5.9%3.5%1.5%0.2% 196332.1%19.8%17.1%11.4%8.5%5.9%3.4%1.6%0.2% 196432.2%20.0%16.7%11.5%8.5%5.9%3.3%1.6%0.2% 196531.9%20.6%16.3%11.7%8.4%5.9%3.3%1.6%0.3% 196631.4%21.3%16.0%11.9%8.4%5.9%3.3%1.5%0.3% 196730.9%21.8%15.8%12.1%8.3%5.9%3.4%1.5%0.3% 196830.2%22.4%15.6%12.3%8.4%5.9%3.4%1.6%0.3% 196929.3%23.1%15.5%12.5%8.4%5.8%3.5%1.6%0.3% 197028.5%23.8%15.4%12.6%8.5%5.8%3.5%1.6%0.3% 197127.7%24.4%15.2%12.7%8.5%5.8%3.5%1.6%0.4% 197227.1%24.7%15.2%12.9%8.6%5.9%3.5%1.6%0.4% 197326.5%25.0%15.3%13.0%8.7%6.0%3.5%1.6%0.4% 197426.0%25.0%15.6%12.9%8.9%6.0%3.5%1.6%0.4% 197525.4%24.9%16.1%12.7%9.1%6.1%3.5%1.6%0.5% 197624.8%24.7%16.6%12.6%9.4%6.2%3.6%1.7%0.5% 197724.3%24.5%17.0%12.6%9.6%6.2%3.7%1.7%0.5% 197823.7%24.1%17.6%12.6%9.9%6.3%3.7%1.7%0.5% 197923.0%23.6%18.4%12.6%10.1%6.4%3.8%1.7%0.5% 198022.2%23.3%19.1%12.6%10.3%6.5%3.8%1.7%0.5% 198121.5%23.0%19.7%12.6%10.5%6.5%3.9%1.8%0.5% 198220.9%22.8%20.2%12.7%10.6%6.6%4.0%1.8%0.5% 198320.2%22.5%20.6%12.8%10.7%6.7%4.0%1.9%0.5% 198419.7%22.1%20.9%13.2%10.6%6.9%4.1%1.9%0.5% 198519.1%21.8%21.0%13.8%10.5%7.1%4.2%2.0%0.5% 198618.6%21.5%20.8%14.4%10.5%7.4%4.3%2.0%0.5% 198718.2%21.1%20.7%14.9%10.6%7.6%4.3%2.1%0.6% 198817.7%20.6%20.6%15.4%10.6%7.8%4.4%2.1%0.6% 198917.3%20.0%20.6%16.1%10.7%8.0%4.5%2.2%0.6% 199016.7%19.5%20.5%16.9%10.7%8.2%4.6%2.2%0.6% 199116.0%19.2%20.3%17.6%10.8%8.4%4.8%2.3%0.7% 199215.4%18.8%20.0%18.2%10.9%8.7%4.9%2.4%0.7% 199315.0%18.4%19.8%18.6%11.2%8.8%5.1%2.5%0.7% 199414.8%17.8%19.6%18.9%11.5%8.9%5.3%2.6%0.8% 199514.7%17.2%19.4%18.9%12.1%8.8%5.5%2.7%0.8% 199614.6%16.7%19.1%18.8%12.6%8.8%5.8%2.7%0.9% 199714.6%16.3%18.7%18.7%13.1%8.9%6.0%2.8%0.9% 199814.6%15.9%18.3%18.5%13.6%9.1%6.3%2.9%0.9% 199914.5%15.4%17.9%18.3%14.2%9.2%6.5%3.1%1.0% 200014.3%14.9%17.7%18.2%14.8%9.2%6.7%3.2%1.0% 200114.1%14.4%17.5%18.0%15.5%9.3%6.9%3.3%1.1% 200213.7%14.0%17.1%18.0%16.0%9.4%7.2%3.5%1.1% 200313.1%13.9%16.8%17.8%16.5%9.7%7.3%3.7%1.2% 200412.6%13.8%16.4%17.7%16.8%10.0%7.4%3.9%1.3% 200512.0%13.8%16.1%17.6%17.0%10.6%7.5%4.1%1.4% 200611.4%13.9%15.8%17.4%17.0%11.1%7.5%4.4%1.5% 200710.9%13.9%15.4%17.2%17.1%11.6%7.7%4.6%1.6% 200810.4%13.9%15.0%17.0%17.1%12.1%7.9%4.9%1.7% 200910.0%13.9%14.6%16.7%17.1%12.7%8.0%5.1%1.8% 20109.7%13.8%14.2%16.5%17.1%13.3%8.1%5.3%1.9% 20119.5%13.5%13.9%16.2%17.1%14.0%8.3%5.5%2.1% 20129.2%13.0%13.7%16.0%17.1%14.6%8.5%5.7%2.2% 20139.1%12.4%13.5%15.8%17.1%15.2%8.7%5.9%2.4% 20149.0%11.8%13.3%15.5%17.1%15.7%9.0%6.0%2.5% 20158.9%11.2%13.3%15.2%17.1%16.0%9.5%6.1%2.7% 20168.8%10.7%13.3%15.0%16.9%16.2%10.1%6.2%2.9% 20178.6%10.3%13.4%14.7%16.7%16.3%10.6%6.3%3.1% 20188.3%9.9%13.5%14.4%16.4%16.4%11.2%6.5%3.3% 20198.1%9.6%13.5%14.1%16.1%16.6%11.7%6.7%3.6% 20207.7%9.3%13.5%13.8%15.9%16.6%12.5%6.9%3.8% 20217.4%9.0%13.4%13.5%15.8%16.5%13.3%7.1%4.0% 20226.9%8.9%13.1%13.3%15.6%16.6%14.0%7.2%4.3% 20236.5%8.9%12.7%13.3%15.5%16.6%14.5%7.5%4.5% 20246.1%8.9%12.3%13.3%15.2%16.7%14.9%7.8%4.7% 20255.8%8.9%11.9%13.4%14.9%16.7%15.2%8.3%4.9% 20265.5%8.9%11.5%13.5%14.7%16.6%15.4%8.9%5.1% 20275.3%8.7%11.2%13.6%14.5%16.4%15.6%9.4%5.3% 20285.1%8.5%10.9%13.7%14.3%16.2%15.8%9.9%5.5% 20295.0%8.3%10.7%13.7%14.1%16.0%16.0%10.5%5.8% 20305.0%8.0%10.4%13.6%13.8%15.8%16.0%11.2%6.0% 20315.0%7.6%10.3%13.5%13.5%15.7%16.1%12.0%6.2% 20325.0%7.2%10.3%13.2%13.4%15.6%16.2%12.6%6.5% 20335.1%6.8%10.3%12.8%13.3%15.5%16.3%13.1%6.8% 20345.1%6.5%10.3%12.4%13.3%15.3%16.4%13.5%7.2% 20355.1%6.2%10.3%12.0%13.5%15.1%16.5%13.8%7.6% 20365.1%5.8%10.3%11.6%13.6%14.9%16.4%14.1%8.1% 20375.1%5.6%10.2%11.3%13.7%14.8%16.3%14.3%8.7% 20385.1%5.5%10.0%11.0%13.8%14.6%16.1%14.6%9.2% 20395.1%5.4%9.8%10.8%13.9%14.4%16.0%14.8%9.8% 20405.1%5.4%9.5%10.6%13.9%14.2%15.9%15.0%10.5% 20415.1%5.4%9.1%10.5%13.8%13.9%15.9%15.1%11.2% 20425.0%5.4%8.7%10.5%13.5%13.8%15.8%15.3%11.9% 20435.0%5.5%8.3%10.5%13.1%13.8%15.8%15.5%12.5% 20445.0%5.5%8.0%10.5%12.8%13.9%15.6%15.7%13.0% 20455.1%5.6%7.6%10.6%12.4%14.1%15.4%15.8%13.4% 20465.1%5.6%7.3%10.6%12.0%14.3%15.3%15.8%13.9% 20475.1%5.6%7.1%10.5%11.7%14.5%15.3%15.8%14.4% 20485.1%5.6%7.0%10.4%11.5%14.6%15.2%15.7%15.0% 20495.1%5.6%6.9%10.1%11.3%14.7%15.0%15.6%15.5% 20505.1%5.6%6.9%9.9%11.1%14.8%14.8%15.7%16.1% 20515.1%5.6%7.0%9.5%11.0%14.7%14.7%15.7%16.7% 20525.1%5.6%7.0%9.1%11.0%14.5%14.6%15.8%17.2% 20535.1%5.7%7.1%8.7%11.1%14.2%14.6%15.8%17.7% 20545.0%5.7%7.2%8.4%11.2%13.8%14.8%15.7%18.1% 20554.9%5.7%7.3%8.1%11.3%13.5%15.1%15.7%18.5% 20564.9%5.8%7.3%7.8%11.4%13.1%15.4%15.6%18.7% 20574.8%5.8%7.4%7.5%11.4%12.8%15.7%15.6%19.0% 20584.7%5.9%7.4%7.4%11.2%12.6%15.9%15.6%19.2% 20594.6%5.9%7.4%7.4%11.0%12.5%16.1%15.5%19.5% 20604.6%5.9%7.4%7.4%10.8%12.3%16.2%15.4%19.9% 20614.5%5.9%7.5%7.5%10.4%12.2%16.3%15.3%20.4% 20624.5%5.9%7.5%7.6%10.0%12.4%16.0%15.3%20.8% 20634.5%5.9%7.5%7.7%9.6%12.5%15.7%15.5%21.1% 20644.5%5.8%7.6%7.8%9.2%12.6%15.4%15.7%21.4% 20654.5%5.8%7.7%7.9%8.8%12.8%15.0%16.1%21.5% 20664.6%5.7%7.7%8.0%8.5%12.9%14.7%16.4%21.6% 20674.6%5.6%7.8%8.0%8.3%12.9%14.4%16.8%21.7% 20684.7%5.5%7.9%8.1%8.1%12.7%14.2%17.1%21.8% 20694.7%5.4%7.9%8.1%8.1%12.5%14.0%17.3%21.9% 20704.8%5.4%8.0%8.1%8.1%12.2%13.9%17.5%22.1% 20714.8%5.3%8.0%8.2%8.2%11.8%13.8%17.5%22.3% 20724.9%5.3%8.0%8.2%8.3%11.4%14.0%17.3%22.7% 20735.0%5.3%7.9%8.3%8.5%10.9%14.1%17.0%23.1% 20745.0%5.3%7.9%8.3%8.6%10.5%14.3%16.7%23.5% 20755.1%5.3%7.8%8.4%8.7%10.0%14.4%16.3%23.9% 20765.1%5.4%7.7%8.5%8.8%9.7%14.6%15.9%24.3% 20775.2%5.4%7.6%8.6%8.9%9.4%14.6%15.7%24.7% 20785.3%5.5%7.5%8.7%8.9%9.3%14.4%15.5%25.0% 20795.3%5.6%7.4%8.7%9.0%9.2%14.2%15.3%25.3% 20805.4%5.6%7.3%8.8%9.0%9.2%13.9%15.2%25.6% 20815.4%5.7%7.3%8.8%9.1%9.4%13.4%15.1%25.9% 20825.5%5.8%7.2%8.8%9.1%9.5%12.9%15.3%26.0% 20835.5%5.9%7.2%8.7%9.2%9.6%12.4%15.5%26.0% 20845.5%5.9%7.2%8.6%9.3%9.8%11.9%15.7%26.0% 20855.5%6.0%7.3%8.6%9.4%9.9%11.4%15.9%26.0% 20865.6%6.1%7.3%8.4%9.4%10.1%11.0%16.1%26.0% 20875.6%6.1%7.4%8.3%9.5%10.1%10.7%16.1%26.1% 20885.6%6.2%7.5%8.2%9.6%10.2%10.5%15.9%26.2% 20895.5%6.3%7.6%8.1%9.7%10.3%10.5%15.7%26.3% 20905.5%6.3%7.6%8.0%9.8%10.3%10.6%15.4%26.5% 20915.5%6.4%7.7%8.0%9.8%10.4%10.7%14.9%26.7% 20925.5%6.5%7.8%7.9%9.8%10.4%10.9%14.3%26.9% 20935.5%6.5%7.9%7.9%9.7%10.5%11.1%13.7%27.1% 20945.5%6.5%8.0%7.9%9.7%10.6%11.3%13.2%27.3% 20955.5%6.6%8.1%8.0%9.6%10.7%11.4%12.7%27.5% 20965.5%6.6%8.1%8.0%9.4%10.8%11.5%12.3%27.7% 20975.5%6.6%8.2%8.1%9.3%11.0%11.6%11.9%27.8% 20985.5%6.6%8.3%8.2%9.1%11.1%11.7%11.8%27.7% 20995.5%6.5%8.4%8.3%9.0%11.1%11.8%11.7%27.6% 21005.6%6.5%8.5%8.4%8.9%11.2%11.8%11.8%27.3% The shift is stark. In 1960, children aged 0–9 made up over 30% of the population. By 2100, that figure is projected to fall to just 5.5%, while those aged 80 and over surge into double digits. From Youthful Boom to Demographic Bust In the decades following the Korean War, South Korea had a classic population pyramid: a wide base of young people and relatively few elderly citizens. In 1970, nearly 29% of the population was under 10 years old. Fast forward to today, and the structure has inverted. Persistently low fertility—frequently cited as the lowest in the world—has led to a shrinking base of young people. This trend is frequently described as a “demographic meltdown,” driven by high housing costs, intense education pressures, and shifting social norms. An Economy Growing Older By 2050, people aged 60 and older are projected to account for roughly 40% of the population. The 80–89 and 90+ cohorts grow especially quickly in the second half of the century. This has major economic implications. A smaller working-age population must support a rapidly expanding elderly population, pushing up the old-age dependency ratio. As we’ve explored in our breakdown of the top economies by old-age dependency, countries with aging populations face rising pension and healthcare burdens, as well as slower potential growth. Labor shortages, fiscal strain, and intergenerational inequality are likely to intensify unless offset by higher productivity, immigration, or policy reform. A Small Baby Bump: A Turning Point? After years of record-low fertility, South Korea has recently seen a modest increase in births. While still far below replacement level, even a small shift is notable after such a prolonged decline. Whether this “baby bump” signals a sustained recovery or merely a temporary fluctuation remains to be seen. For now, long-term projections continue to point toward a much older, and smaller, South Korea by the end of the century.

Published 26 minutes ago on February 20, 2026 By Julia Wendling Graphics & Design Athul Alexander Twitter Facebook LinkedIn Reddit Pinterest Email Mapped: The U.S. Cities at Risk of Sinking     Key Takeaways 25 out of the top 28 major U.S. cities are experiencing land subsidence, creating hidden but growing property risk.        Houston, Fort Worth, Dallas, New York, and Chicago are all sinking at a rate of over 2 mm per year.        Even slow, millimeter scale sinking can drive long term infrastructure damage and insurability challenges.        Across the United States, the ground beneath many major cities is gradually subsiding. Research published in Nature Cities shows that 25 of the 28 largest U.S. urban areas are sinking, a trend with serious implications for infrastructure durability, flood risk, and long-term resilience. Created in partnership with Inigo, this visualization maps the major U.S. cities most at risk of sinking. Why U.S. Cities Are Slowly Sinking In coastal cities such as San Diego and New York, subsidence amplifies sea level rise and leaves communities more exposed to storm surge and tidal flooding. Inland cities face different pressures. In places like Houston, Phoenix, and Denver, groundwater extraction and soil compaction accelerate vertical land movement. Because subsidence happens gradually, it often goes unnoticed. Still, Houston, Fort Worth, Dallas, New York, and Chicago are all sinking by more than 2.0 mm per year. Even small drops in elevation can strain pipelines, damage roads, and weaken building foundations. CityStateVertical land movement (mm/year) HoustonTexas-5.2 Fort WorthTexas-4.4 DallasTexas-3.8 New YorkNew York-2.4 ChicagoIllinois-2.3 ColumbusOhio-1.9 SeattleWashington-1.8 DetroitMichigan-1.7 DenverColorado-1.7 CharlotteNorth Carolina-1.5 IndianapolisIndiana-1.4 WashingtonDistrict of Columbia-1.3 Oklahoma CityOklahoma-1.3 NashvilleTennessee-1.1 San AntonioTexas-1.1 San DiegoCalifornia-1.1 PortlandOregon-0.9 San FranciscoCalifornia-0.9 PhoenixArizona-0.8 Las VegasNevada-0.8 AustinTexas-0.8 El PasoTexas-0.8 PhiladelphiaPennsylvania-0.7 Los AngelesCalifornia-0.7 BostonMassachusetts-0.5 Many other major cities, including Seattle, Detroit, and Denver, are sinking at rates between 1.5 and 2.0 mm per year. A Growing Blind Spot in Property Risk Although subtle, subsidence affects millions of people and tens of thousands of buildings, many of which sit in high damage risk zones. As elevation changes accumulate, mitigation and adaptation costs rise, often after damage has already occurred. 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See more visuals like this on the Voronoi app. Use This Visualization Ranked: The Companies Holding the Most Cash in the World 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 Financials dominate the list—13 of the top 50 are financial services firms. Berkshire Hathaway is the clear outlier, sitting on a record $382B, the largest cash position in its history—more than Microsoft, Alphabet, and Amazon combined. The cash that companies hold is important for paying employees, funding operations, and as a measure of financial health. This chart shows the 50 companies with the largest cash holdings, using data from TradingView to highlight who is sitting on the largest war chests. This metric captures a company’s most liquid assets: cash plus short-term securities like T-bills that typically mature within a year. Which Companies Hold the Most Cash? Berkshire Hathaway leads the rankings with an impressive $382 billion. The data table below shows the top 50 companies worldwide with the largest cash and short-term securities holdings: RankCompanyCash and short-term investments holdings (billions) 1Berkshire Hathaway$381.7 2CITIC Limited$171.5 3Daiwa Securities Group$131.4 4Alphabet$126.8 5Amazon$126.3 6Taiwan Semiconductor Manufacturing$97.8 7Interactive Brokers Group$93.4 8Microsoft$89.5 9Charles Schwab$88.9 10Meta Platforms$82.4 11Volkswagen$76.9 12PDD Holdings$69.5 13Apple$66.9 14NVIDIA$60.6 15Tencent$59.2 16Alibaba Group Holding$58.2 17Saudi Aramco$56.0 18Contemporary Amperex Technology$51.6 19Toyota Motor$50.5 20SBI Holdings$50.0 21China State Construction Engineering$48.5 22American Express$47.8 23SoftBank Group$45.8 24Tesla$44.5 25China Mobile$43.8 26Daou Technology$43.7 27Hon Hai Precision Industry$42.5 28CNPC Capital$41.9 29Japan Securities Finance$41.0 30PetroChina$40.7 31Hong Kong Exchanges & Clearing$39.4 32Fannie Mae$39.4 33Stellantis$38.7 34Ford Motor$38.5 35International Holding Company$37.6 36Intel$37.4 37BP$36.8 38Rakuten Group$36.0 39CNOOC$35.8 40Nomura Holdings$35.7 41SAIC Motor$35.1 42Honda Motor$30.9 43Deutsche Boerse$30.6 44General Motors$30.6 45Shell$30.3 46JD.com$29.6 47Boeing$29.4 48China Railway Group$28.6 49TotalEnergies$28.3 50Daou Data$26.8 Source: TradingView | Cash and Short-Term Investments | as of Feb 11, 2026 Following Berkshire are CITIC—a Chinese state-backed financial conglomerate—and Daiwa Securities Group, one of Japan’s biggest financial brokerages. Big Tech rounds out the top five, with Alphabet holding $127 billion and Amazon holding $126 billion. Why Buffett Holds So Much Cash Among the top 50 companies, the Financials sector collectively holds the largest cash reserves at $1.2 trillion—partially driven by strict capital rules requiring banks to maintain large liquid buffers. Berkshire Hathaway is different: its cash position is strategic, not regulatory. After 12 straight quarters as a net seller of stocks, Buffett and the team have parked much of the company’s liquidity in short-term U.S. Treasury bills, implying that equity valuations look expensive. The Oracle’s cash and cash equivalents as a percentage of total assets is at an all-time high—roughly 31% of total assets. Historically, this has coincided with periods when he waits for a major economic or market dislocation before deploying capital as prices begin to mean-revert—quietly accumulating dry powder in the meantime. Why Big Tech Holds So Much Cash The Magnificent Seven: Alphabet, Amazon, Meta, Microsoft, Apple, Nvidia and Tesla collectively hold $597 billion—enough to buy most S&P 500 companies. Traditionally, Big Tech companies are massive cash machines: high gross margins and scalable cost structures mean incremental revenue converts into cash quickly. Despite spending heavily to build AI factories, they’ve used little of their cash reserves to finance them—opting instead for debt. They hold large cash stockpiles both to fund acquisitions and guard against potential economic turmoil, such as threats from tariffs or geopolitical conflicts. Learn More on the Voronoi App To learn more about the world’s largest companies, check out this graphic on Voronoi.

See more visualizations like this on the Voronoi app. Use This Visualization The World’s 50 Largest Economies, Including U.S. States 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 19 U.S. states rank among the world’s 50 largest economies in 2025. California ($4.30T) is now the world’s 4th-largest economy, ahead of Japan and India. Texas ($2.94T) is larger than Italy and Russia; Florida’s economy is bigger than Australia’s. The U.S. has the world’s largest economy at $30.6 trillion. But if you break it apart, individual states would rank among the world’s economic superpowers. In 2025, 19 U.S. states place within the top 50 largest economies globally, according to IMF projections and U.S. Bureau of Economic Analysis (BEA) data. California alone, with a $4.30 trillion economy, now ranks fourth in the world, ahead of Japan and India. Texas and New York also outperform entire G7 nations. This graphic compares countries and U.S. states side by side, revealing just how economically powerful America’s largest states have become. Where U.S. States Rank vs. the Largest Economies in 2025 Below, we break down the economic output of U.S. states compared to the world’s largest economies: RankCountry/ StateEntity TypeGDP 2025 1 United StatesCountry$30.62T 2 ChinaCountry$19.40T 3 GermanyCountry$5.01T 4 CaliforniaU.S. State$4.30T 5 JapanCountry$4.28T 6 IndiaCountry$4.13T 7 United KingdomCountry$3.96T 8 FranceCountry$3.36T 9 TexasU.S. State$2.94T 10 ItalyCountry$2.54T 11 RussiaCountry$2.54T 12 New YorkU.S. State$2.50T 13 CanadaCountry$2.28T 14 BrazilCountry$2.26T 15 SpainCountry$1.89T 16 MexicoCountry$1.86T 17 South KoreaCountry$1.86T 18 FloridaU.S. State$1.85T 19 AustraliaCountry$1.83T 20 TürkiyeCountry$1.57T 21 IndonesiaCountry$1.44T 22 NetherlandsCountry$1.32T 23 Saudi ArabiaCountry$1.27T 24 IllinoisU.S. State$1.22T 25 PennsylvaniaU.S. State$1.07T 26 PolandCountry$1.04T 27 SwitzerlandCountry$1.00T 28 OhioU.S. State$979.1B 29 GeorgiaU.S. State$935.8B 30 North CarolinaU.S. State$905.2B 31 WashingtonU.S. State$903.7B 32 New JerseyU.S. State$896.4B 33 TaiwanCountry$884.4B 34 MassachusettsU.S. State$828.3B 35 VirginiaU.S. State$807.3B 36 MichiganU.S. State$738.3B 37 BelgiumCountry$717.0B 38 IrelandCountry$708.8B 39 ArgentinaCountry$683.4B 40 SwedenCountry$662.3B 41 IsraelCountry$610.8B 42 ArizonaU.S. State$604.3B 43 TennesseeU.S. State$596.6B 44 ColoradoU.S. State$589.9B 45 MarylandU.S. State$574.4B 46 SingaporeCountry$574.2B 47 UAECountry$569.1B 48 AustriaCountry$566.5B 49 ThailandCountry$558.6B 50 IndianaU.S. State$551.8B In 2024, California officially overtook Japan to become the world’s fourth-largest economy. Tech, real estate, and finance sectors have powered the state’s economy, with real GDP per capita rising 60% between 2000 and 2024. With one of the fastest growth rates overall, it far exceeds the U.S. average of 37% over the same period. Texas, ranked ninth, commands a $2.94 trillion economy. The Lone Star State is bigger than both Italy ($2.54 trillion) and Russia ($2.54 trillion), driven by its growing population, economic strength, and energy industry. With a $2.50 trillion economy, New York state falls in 12th place, eclipsing Canada’s entire economy. Meanwhile, Illinois’ GDP of $1.22 trillion is roughly equivalent to Saudi Arabia ($1.27 trillion), the world’s second-largest producer of oil. Learn More on the Voronoi App To learn more about this topic, check out this graphic on every state’s share of U.S. GDP.

Published 2 hours ago on February 19, 2026 By Julia Wendling Graphics & Design Athul Alexander Twitter Facebook LinkedIn Reddit Pinterest Email The Escalating Destruction of U.S. Wildfires     Key Takeaways Wildfires in the United States are becoming more destructive as climate conditions intensify and development expands into fire-prone areas.        The area burned by wildfires has trended upward, with many of the most severe seasons occurring in the past decade.        In 2024, nearly 9 million acres were burned, far exceeding the 40-year average of approximately 5 million acres.        Wildfires across the United States are becoming more destructive and more costly. Data from the National Interagency Fire Center shows that the annual area burned has increased over time, with several of the most severe wildfire seasons on record occurring within the past decade. Created in partnership with Inigo, this visualization provides visual context for the rising impact of U.S. wildfires. Wildfires Are Burning Hotter and Spreading Wider Across the country, rising temperatures, prolonged droughts, and stronger winds are intensifying fire behavior, even as housing development pushes further into fire-prone areas. In January 2025 alone, California wildfires burned 64,038 acres, the third-highest January total on record. The figure shows that extreme fire conditions are no longer limited to peak summer months. YearAcres Burned Jan.-Oct. 20254,711,179 20248,924,884 20232,693,910 20227,577,183 20217,125,643 202010,122,336 20194,664,364 20188,767,492 201710,026,086 20165,509,995 201510,125,149 20143,595,613 20134,319,546 20129,326,238 20118,711,367 20103,422,724 20095,921,786 20085,292,468 20079,328,045 20069,873,745 20058,689,389 20048,097,880 20033,960,842 20027,184,712 20013,570,911 20007,393,493 19995,626,093 19981,329,704 19972,856,959 19966,065,998 19951,840,546 19944,073,579 19931,797,574 19922,069,929 19912,953,578 19904,621,621 19891,827,310 19885,009,290 19872,447,296 19862,719,162 19852,896,147 19841,148,409 19831,323,666 Although the most destructive wildfire years occurred across several decades, the broader pattern remains unmistakable. The long-term trend in acres burned is steadily rising. In 2024, nearly 9 million acres burned, far exceeding the 40-year average of just over 5 million acres. Only two years in the past decade recorded fewer acres burned. Why Exposure Is Compounding The expanding overlap between people, property, and high-risk terrain is amplifying both human and economic exposure. Over the past decade, wildfires damaged one in four buildings that stood within a previous burn zone, highlighting how rebuilding in the same areas can magnify future losses. Insurers, property owners, and policymakers can no longer treat wildfire risk as a regional issue confined to the Western states. It is a national challenge reshaping how communities build, insure, and recover. As climate volatility increases, understanding where fires are occurring and how risk is accumulating will be critical to managing future losses. Explore the data behind emerging global property risks. You may also like Real Estate1 day ago Mapped: The U.S. States Building the Most Homes in the Fire Line As housing spreads into the fire line, exposure is rising sharply, compounding loss potential and challenging long-term insurability. Real Estate2 days ago 4 Inputs Driving the Rising Cost of Rebuilding Rising labor and material costs mean every insured dollar now rebuilds less, widening the recovery gap after disasters across the United States. Real Estate5 days ago How Do Interest Rates Impact the Real Estate Market? Lower interest rates have often supported stronger real estate returns and improved valuations. Will that trend return in 2026? Real Estate1 week ago 6 Trends Reshaping U.S. Property Insurance From climate volatility to economic and technological shifts, a wide range of forces are reshaping property risk in the U.S. Environment4 months ago Ranked: The 10 Most Powerful U.S. Hurricanes (1900-2025) Hurricanes are a defining force in the U.S. climate, capable of leaving behind profound environmental, social, and economic devastation. Environment5 months ago Mapped: Which U.S. Cities Saw Record-Breaking Temperatures in 2024? Global temperatures are climbing—but how is this trend playing out across the United States, and which regions are being hit the hardest? Environment6 months ago Ranked: The Most Expensive U.S. Wildfire Events, So Far Wildfire events are growing increasingly frequent and destructive around the world as human-driven climate impacts continue to escalate. Environment6 months ago Mapped: The United States of Drought Drought grips much of the U.S., affecting over 60 million people today. Healthcare7 months ago The $58B Weight Loss Drug Market in One Chart Weight loss drugs have surged in popularity in recent years, transforming the pharmaceutical landscape. Which brands are dominating this space? Healthcare7 months ago Ranked: Which Areas Receive the Most Pharma R&D? The pharmaceutical industry has made enormous strides in treating—and even curing—a wide range of diseases and conditions. Which areas are seeing the most R&D in 2025? 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Crime8 months ago Ranked: America’s Most Common Financial Crimes As technology and AI become more widespread, fraud and other suspicious activity are rising across America. Which types are the most common? Economy8 months ago Tracking the $3.1 Trillion Financial Crime Pandemic From money laundering to fraud, financial crime acts as a drain on the economy, totaling an incredible $3.1 trillion. Politics9 months ago Which Types of Government Rule the World? Over half the global population is ruled by non-centrist types of government, including autocracies and left or right wing parties. Politics9 months ago Breaking Down the $524 Billion Investment Needed to Rebuild Ukraine Ukraine will require an estimated $524B over the next decade to recover from the Russia-Ukraine war. Which sectors have been most impacted? Politics9 months ago Are Tariffs Causing U.S. Inflation Fears? Amid tariff increases, consumers’ expectations for U.S. inflation in the next five years have reached their highest level since March 1991. Politics10 months ago Ranked: Executive Orders by President in the First 100 Days In his first 100 days, President Trump has issued far more executive orders than any other president in history. Subscribe Please enable JavaScript in your browser to complete this form.Join 375,000+ email subscribers: *Sign Up

See more visuals like this on the Voronoi app. Ranked: The World’s Most Harvested Crops 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 Nearly 2 billion metric tons of sugar cane were harvested in 2024, making it the world’s most harvested crop. Third-place finisher rice is the staple food for over half the world’s population. Many of the world’s largest crops are used as much for animal feed and biofuels as for direct human consumption. Nearly 2 billion metric tons of sugar cane are harvested globally each year, making it the most-produced crop on Earth by a wide margin. This visualization highlights the scale of global crop production in 2024, showing how staple foods and key commercial crops compare. The data for this visualization is sourced from the Food and Agriculture Organization (FAO) of the United Nations. While some top crops are dietary staples, others support large industries such as biofuels, sweeteners, and packaged foods. The Main Crops Grown Each Year Sugar cane stands as the dominant crop grown globally at 1.94 billion metric tons, far surpassing all other crops. Maize follows at 1.22 billion tons, while rice and wheat—two of the world’s most essential food staples—come in at 820 million and 798 million tons, respectively. RankCropMetric tons produced in 2024 1Sugar cane1,939,782,021 2Maize (corn)1,218,205,574 3Rice820,223,277 4Wheat798,481,711 5Oil palm fruit418,696,914 6Soya beans397,671,688 7Potatoes390,428,972 8Cassava, fresh341,905,934 9Sugar beet293,624,598 10Tomatoes188,498,383 11Barley141,996,861 12Bananas139,413,684 13Onions and shallots, dry108,260,011 14Watermelons104,959,426 15Apples97,880,076 Brazil is notably the top producer of both sugar cane and soybeans, while Eurasian giants like China, India, and Russia are the main wheat growers worldwide. Lots of the crops in question have regional production hubs; soybeans, for example, tend to be produced in China, the U.S., and South American countries like Argentina, Brazil, and Paraguay. Our Sweet Sugar Craze More sugar cane is harvested in Brazil each year than in the next three largest annual producers. Sugar cane is not only processed into the table sugar you buy at the supermarkets, but also refined into biofuel, molasses, and other sweeteners. Meanwhile, over 294 million tons of sugar beet were grown in 2024, accounting for roughly 20% of global sugar output. Sugar beet is grown specifically for sugar extraction and refined sugar. The Corn Industry Corn, also known internationally as maize, is the runner-up for global agricultural production, with the United States as the top grower worldwide. Most corn today, especially in the U.S., is harvested for use in animal feed or the production of biofuels such as ethanol. The U.S. has maintained large corn subsidies for over half a century. The Corn Belt is a geographic region of the U.S. dominated by the corn industry, and is centered around the Midwestern state of Iowa. Today Iowa grows three times more corn than all of Mexico, the country where corn was first harvested in pre-Columbian times. Learn More on the Voronoi App If you enjoyed today’s post, check out The Big Four American Crops Compared to Entire Countries on Voronoi, the new app from Visual Capitalist.

See more visuals like this on the Voronoi app. Use This Visualization Charted: The Growth of $100 by Asset Class (1965–2025) 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 Stocks had the best returns, turning $100 into $43k—roughly 29x the return of cash and about 5x that of gold. Real estate and government bonds beat cash, by a factor of 1.4x and 1.9x respectively. What would $100 invested in 1965 be worth today? For stocks, it would’ve multiplied 435 times, but other asset classes have significantly lower returns. Here’s how each asset class performed over 60 years, based on data from NYU Stern professor Aswath Damodaran. Stocks reflect S&P 500 total returns with dividends reinvested, real estate follows the Case-Shiller Home Price Index (price only), and cash represents three-month U.S. Treasury bills. Stocks Outperform Other Asset Classes Since 1965 The table below shows the nominal (before inflation) returns of a $100 investment across six major asset classes between 1965 and 2025, with values representing the investment’s value at year-end: YearStocksGoldCorporate BondsGovernment BondsReal EstateCash 1965$112$100$103$101$102$104 1966$101$100$100$104$103$109 1967$125$100$101$102$105$114 1968$139$112$105$105$110$120 1969$127$118$103$100$117$128 1970$132$106$109$117$127$136 1971$151$124$124$128$132$142 1972$179$185$139$132$136$148 1973$153$320$145$137$141$158 1974$114$531$138$139$155$170 1975$156$400$153$144$166$180 1976$193$383$184$168$179$189 1977$179$470$202$170$205$199 1978$191$644$208$168$238$213 1979$226$1,459$204$170$270$235 1980$298$1,680$197$164$290$262 1981$284$1,132$214$178$305$298 1982$342$1,309$276$236$307$331 1983$419$1,089$321$244$322$361 1984$444$878$371$277$337$397 1985$583$931$460$349$362$427 1986$691$1,108$562$433$396$454 1987$731$1,379$568$412$428$481 1988$852$1,169$657$446$458$514 1989$1,120$1,136$764$525$479$557 1990$1,086$1,100$808$557$475$600 1991$1,414$1,006$940$641$475$633 1992$1,520$948$1,069$701$478$656 1993$1,672$1,116$1,244$801$489$676 1994$1,694$1,092$1,229$736$501$705 1995$2,324$1,103$1,476$909$510$745 1996$2,851$1,052$1,554$922$522$784 1997$3,795$827$1,729$1,014$543$824 1998$4,870$820$1,870$1,165$578$865 1999$5,887$827$1,888$1,069$623$906 2000$5,355$782$2,065$1,247$681$961 2001$4,721$788$2,242$1,316$726$994 2002$3,684$989$2,513$1,515$796$1,010 2003$4,728$1,186$2,824$1,521$874$1,021 2004$5,236$1,241$3,115$1,589$993$1,035 2005$5,490$1,462$3,275$1,635$1,127$1,068 2006$6,347$1,801$3,448$1,667$1,146$1,120 2007$6,695$2,375$3,617$1,837$1,084$1,170 2008$4,248$2,478$3,492$2,206$954$1,187 2009$5,349$3,098$4,189$1,961$918$1,189 2010$6,142$4,004$4,583$2,127$880$1,190 2011$6,271$4,486$5,145$2,468$846$1,191 2012$7,267$4,741$5,629$2,542$900$1,192 2013$9,604$3,432$5,565$2,310$997$1,193 2014$10,902$3,436$6,163$2,558$1,041$1,193 2015$11,053$3,020$6,071$2,591$1,096$1,194 2016$12,354$3,265$6,770$2,609$1,154$1,197 2017$15,023$3,678$7,390$2,682$1,225$1,209 2018$14,388$3,644$7,155$2,682$1,281$1,233 2019$18,879$4,339$8,246$2,940$1,328$1,259 2020$22,281$5,388$9,120$3,273$1,466$1,263 2021$28,625$5,185$9,213$3,129$1,743$1,264 2022$23,462$5,214$7,810$2,571$1,841$1,290 2023$29,576$5,905$8,492$2,671$1,946$1,358 2024$36,934$7,438$8,639$2,627$2,023$1,429 2025$43,480$12,364$9,241$2,832$2,055$1,489 Numbers have been rounded. S&P 500 includes dividends. Cash represented by 3-Month U.S. T-Bills. Corporate Bonds represented by Baa corporate bonds. Real Estate represented by the Case-Shiller Home Price Index. | As of Dec-31-2025 Stocks can build wealth faster than other major assets because company profits tend to grow over time, dividends can be reinvested, and returns compound. The trade-off is risk and volatility as stock prices can swing sharply up and down. In this 60-year window, a large share of equity gains happened during two major bull cycles. Two big bull runs drove most stock gains: 1982–2000 (about 17x) and the post-2008 rebound (about 10x), so missing either one could’ve significantly dampened investment returns. How Drawdowns and Recoveries Affect Returns Every asset class has faced major drawdowns and recoveries, but stocks were often the fastest to recover. In 2008, equities fell 37% in a single year, then rebounded to new highs in roughly four years as aggressive Fed support steadied markets. After the COVID-19 shock, bonds—long seen as a safe haven—suffered their worst two-year stretch in decades. Gold saw the longest dry spell: after its 1980 peak, it took 26 years just to break even as high real rates and a strong dollar dragged on returns. Once it finally cleared that level, it nearly doubled again by 2011. Real estate also took time after its major drawdown—after the housing bust in 2008/2009, prices needed about a decade to fully recover. Together, these cycles show that while no asset class is immune to deep losses, recovery timelines can vary dramatically—and patience often matters as much as diversification. Learn More on the Voronoi App To learn more about stock performance over the last 152 years, check out this graphic on Voronoi which plots out each year’s S&P 500 return.

See more visualizations like this on the Voronoi app. Use This Visualization Mapped: Job Growth in Every U.S. 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 Missouri posted the fastest job growth in 2025 (+1.7%), while 14 states saw employment decline year-over-year. Southern states account for many of the top performers, including North Carolina and South Carolina. Texas added the most jobs in absolute terms (+120,700), even as most large states grew by less than 1%. In 2025, employment growth across the U.S. was modest overall, with 14 states ending the year with fewer jobs than they had in December 2024. At the same time, several Southern states posted some of the strongest gains in the country. This map shows how payroll employment changed in all 50 states between December 2024 and December 2025, based on Bureau of Labor Statistics data via Arizona State University. Missouri recorded the fastest growth rate at 1.7%, while New Hampshire saw the steepest decline at 0.8%. Overall, 14 states ended the year with fewer jobs than they had in December 2024. Job Growth by State in 2025 Below, we show the change in employment between December 2024 and December 2025: RankStateAnnual Job Growth 2025Absolute Job Growth 1Missouri1.7%52.2K 2North Carolina1.5%78.0K 3South Carolina1.3%30.8K 4Minnesota1.2%37.3K 5Utah1.2%21.8K 6Pennsylvania1.2%73.4K 7Arkansas1.2%16.2K 8Idaho1.2%10.2K 9Delaware1.1%5.4K 10Louisiana1.1%21.7K 11Hawaii1.0%6.6K 12New Mexico1.0%8.8K 13Montana1.0%5.0K 14Vermont0.9%2.9K 15Oklahoma0.9%15.8K 16Texas0.8%120.7K 17Ohio0.8%46.9K 18New York0.8%77.6K 19Colorado0.8%22.9K 20Arizona0.8%24.6K 21Michigan0.7%33.4K 22Tennessee0.7%24.6K 23Mississippi0.7%7.8K 24South Dakota0.6%2.9K 25Alabama0.4%9.1K 26Florida0.4%35.2K 27New Jersey0.2%10.3K 28Oregon0.2%4.1K 29Wisconsin0.2%5.7K 30Indiana0.2%5.5K 31Massachusetts0.1%4.8K 32Georgia0.1%6.2K 33Kentucky0.1%2.3K 34Iowa0.1%1.2K 35California0.0%0.9K 36Alaska0.0%0.0K 37Illinois-0.1%-5.3K 38North Dakota-0.1%-0.4K 39Connecticut-0.1%-2.2K 40Virginia-0.2%-7.6K 41Kansas-0.2%-2.8K 42Wyoming-0.3%-0.8K 43Rhode Island-0.3%-1.7K 44Washington-0.4%-14.1K 45West Virginia-0.4%-3.1K 46Maryland-0.5%-14.2K 47Nevada-0.5%-8.6K 48Nebraska-0.6%-6.4K 49Maine-0.6%-4.0K 50New Hampshire-0.8%-6.0K Missouri’s 1.7% increase was driven largely by health services and private education, along with leisure and hospitality. Trade, transportation, and utilities saw declines. North Carolina followed with 1.5% job growth. Construction led job gains in the state, growing by nearly 5%, supported by major investments from Microsoft, Amazon, and Meta. Given the state’s ample land and power, it hosts 40 data centers, with several others announced or under construction. Texas added the most jobs overall in 2025, increasing payrolls by 120,700. As a growing hub for high-value manufacturing, finance, and tech, the state has created about 20% of new jobs in the U.S. over the past five years. By comparison, Maryland shed the most jobs in 2025, dropping by 14,200, with a significant share being federal employees. It lost more federal workers than any other state, significantly dragging down overall job growth. Learn More on the Voronoi App To learn more about this topic, check out this graphic on unemployment by state in 2025.

See more visuals like this on the Voronoi app. Use This Visualization Ranked: The Biggest Buyers and Sellers of U.S. Debt (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 UK, Belgium, and Japan were the three largest buyers of U.S. debt from November 2024 to November 2025, each increasing holdings by more than $115 billion. China reduced its U.S. debt holdings by $86 billion over the same period, leading all countries in net selling. Despite major shifts among individual countries, total foreign holdings of U.S. Treasuries rose to a record $9.4 trillion. Each year, the U.S. relies on investors to finance its growing debt, which stood at $38.6 trillion as of February 2026. Both domestic and overseas investors buy this debt, with foreign holders of U.S. Treasuries owning a record $9.4 trillion of the total. While U.S. debt pays well due to its high yields currently, some countries, like China, have been selling their U.S. Treasury holdings. This chart shows the countries that are the 20 largest buyers and sellers of U.S. Treasury securities from November 2024 to November 2025, based on data from the U.S. Treasury Department. Europe and Japan Lead U.S. Treasury Buying The table below shows the top countries buying U.S. Treasuries from November 2024 to November 2025, in both the U.S. dollar value and percentage change in relation to their Treasury holdings: RankCountryChange in U.S. Treasury Holdings (Millions, Nov 2024 - Nov 2025)Percentage Change 1 United Kingdom$121,61316% 2 Belgium$119,70433% 3 Japan$115,52811% 4 Canada$99,83527% 5 Norway$56,33535% 6 France$43,53813% 7 United Arab Emirates$30,33541% 8 Taiwan$26,5399% 9 Cayman Islands$22,1315% 10 Israel$20,26523% 11 Singapore$19,9348% 12 Spain$17,61927% 13 South Korea$17,60514% 14 Kuwait$13,64327% 15 Saudi Arabia$13,28310% 16 Bermuda$12,88314% 17 Thailand$10,06114% 18 Germany$9,69910% 19 Luxembourg$7,8112% 20 Australia$7,15811% Three countries top $100 billion on the buyer side. The UK led at $122 billion, followed by Belgium and Japan, each within $6 billion of that mark. Canada and Norway rounded out the top five. Together, these five accounted for roughly 65% of the $786 billion in total purchases. Belgium’s 33% surge looks dramatic, but it is largely technical. Brussels hosts Euroclear, a major clearinghouse that holds bonds on behalf of investors across Europe. Hence, the number can indicate where the debt is held rather than who actually purchased it. The same logic applies to other financial hubs, such as the UK, the Cayman Islands, and Luxembourg. China, Brazil, and India Lead U.S. Treasury Selling The table below largest sellers of U.S. Treasuries from November 2024 to November 2025, in both the U.S. dollar value and percentage change in relation to their Treasury holdings: RankCountryChange in U.S. Treasury Holdings (Millions, Nov 2024 - Nov 2025)Percentage Change 1 China-$85,960-11% 2 Brazil-$60,847-27% 3 India-$47,517-20% 4 British Virgin Islands-$38,956-32% 5 Bahamas-$13,822-35% 6 Mexico-$13,320-13% 7 Hong Kong-$9,821-4% 8 South Africa-$6,356-39% 9 Indonesia-$4,865-14% 10 Netherlands-$4,750-6% 11 Portugal-$3,959-66% 12 Ireland-$2,876-1% 13 Denmark-$2,663-21% 14 Philippines-$2,246-3% 15 Colombia-$1,780-4% 16 Ecuador-$647-35% 17 Sweden-$637-1% 18 Austria-$361-5% 19 Barbados-$257-8% 20 Trinidad and Tobago-$249-6% China shed $86 billion in Treasuries, a further 11% annual decline that continues a multiyear reduction in U.S. debt holdings as Beijing diversifies its reserves into gold and other assets. Other BRICS countries, such as Brazil and India, also cut their holdings by a combined $108 billion. That move partly reflects governments’ efforts to defend their own currencies by drawing on dollar reserves, but could also point to a continuous trend of de-dollarization. Learn More on the Voronoi App To learn more about the U.S. debt, check out this graphic which visualizes it all in one dollar bills on Voronoi.