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Ranked: The World’s 50 Largest Economies, Including U.S. States
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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.
Charted: The Escalating Destruction of U.S. Wildfires
Published 2 hours ago on February 19, 2026
By Julia Wendling
Graphics & Design
Athul Alexander
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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.
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Ranked: The World’s Most Harvested Crops
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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.
Charted: The Growth of $100 by Asset Class (1965–2025)
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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.
Mapped: Job Growth in Every U.S. State in 2025
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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.
Ranked: The Biggest Buyers and Sellers of U.S. Debt (2025)
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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.
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Mapped: The U.S. States Building the Most Homes in the Fire Line
Published 18 minutes ago on February 18, 2026
By Julia Wendling
Graphics & Design
Lebon Siu
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Mapped: The U.S. States Building the Most Homes in the Fire Line
Key Takeaways
Urban growth is expanding directly into wildfire-prone areas, increasing structural exposure.
The wildland–urban interface (WUI) now includes nearly one-third of U.S. homes, concentrating risk along fire lines.
Each new home in the WUI compounds insurance and recovery challenges, raising costs for mitigation, protection, and rebuilding.
Urban sprawl is increasingly colliding with climate risk, as more and more homes are being built into the fire line.
This visualization, created in partnership with Inigo, provides visual context to the risk of urban sprawl. Data is from the U.S. Fire Administration.
Growth Is Pushing Housing Into Fire Zones
According to the U.S. Fire Administration, nearly one-third of all U.S. homes now sit in the wildland–urban interface (WUI). These are areas where human development meets high-risk burn zones.
StateNumber of homes in WUI
California5,089,397
Texas3,173,293
Florida2,586,713
North Carolina2,113,853
Pennsylvania1,967,753
Georgia1,920,046
New York1,686,022
Arizona1,461,103
Virginia1,389,800
South Carolina1,312,624
Alabama1,271,160
Massachusetts1,225,594
Colorado1,080,835
Michigan1,064,107
Washington1,043,366
Tennessee927,138
New Jersey884,114
Louisiana879,906
Ohio787,712
Connecticut765,301
Mississippi725,748
West Virginia665,808
Maryland657,306
Oklahoma651,632
New Mexico640,093
Oregon601,454
Kentucky594,334
Wisconsin585,984
Maine579,101
Utah572,967
Nevada571,013
Arkansas557,920
Missouri518,985
Hawaii508,193
New Hampshire493,741
Minnesota440,237
Illinois396,295
Montana321,816
Indiana320,704
Idaho297,386
Vermont236,060
Alaska219,319
Wyoming217,708
Kansas170,952
Rhode Island145,597
South Dakota101,947
Nebraska99,310
Iowa73,265
North Dakota57,231
Delaware44,350
District of Columbia980
As housing demand rises, construction has accelerated fastest in regions already prone to wildfire. Since 1990, states such as California, Texas, and Florida have each added more than a million homes within the WUI. Most commonly, there are near forests and grasslands that are drying out under rising temperatures and prolonged drought.
Why the WUI Is a Growing Risk Frontier
This expansion doesn’t just raise the likelihood of loss, it multiplies exposure. Every additional home in the WUI increases the cost and complexity of fire protection, evacuation, and recovery, creating a compounding challenge for insurers, reinsurers, and property risk managers.
As development continues along the fire line, mitigation (through land-use planning, building codes, and defensible space) may become the defining frontier of U.S. housing risk. Understanding where and why these overlaps occur is critical for assessing future property exposure.
Explore the data behind emerging global property risks.
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Ranked: China’s Largest Trading Partners in 2025
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Ranked: China’s Largest Trading Partners 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. remained China’s largest trading partner in 2025, with $560 billion in trade.
China’s total trade surpassed $6.3 trillion, generating a record $1.2 trillion surplus.
Trade growth accelerated across Southeast Asia, while German car exports to China have fallen sharply since 2022.
China’s trade engine continues to expand, but the geography of that growth is shifting.
In 2025, total trade exceeded $6.3 trillion, driving a record $1.2 trillion surplus as exports outpaced relatively flat imports. While the U.S. remained China’s largest trading partner, trade momentum increasingly tilted toward Southeast Asia.
At the same time, strains are emerging in Europe. German car exports to China have dropped 66% since 2022, reflecting intensifying competition in the world’s largest auto market.
This graphic shows the country’s largest trading partners in 2025, based on data from China’s General Administration of Customs.
The U.S. Remains China’s Largest Trading Partner
At $560 billion in total trade, the U.S. accounted for 8.8% of China’s global trade in 2025. However, bilateral trade declined 18.7% year over year amid escalating tariff tensions.
RankCountryTrade Value2025Share2025Change2024-2025
1 U.S.$560B8.8%-18.7%
2 Hong Kong SAR$367B5.8%18.9%
3 South Korea$331B5.2%1.2%
4 Japan$322B5.1%4.5%
5 Taiwan$314B5.0%7.3%
6 Vietnam$296B4.7%13.7%
7 Russia$228B3.6%-6.9%
8 Germany$211B3.3%4.6%
9 Australia$207B3.3%-2.3%
10 Malaysia$192B3.0%-9.6%
11 Brazil$188B3.0%-0.1%
12 Indonesia$167B2.6%13.4%
13 India$156B2.4%12.4%
14 Thailand$153B2.4%14.4%
15 Singapore$119B1.9%7.5%
16 Netherlands$114B1.8%3.9%
17 Mexico$109B1.7%0.0%
18 Saudi Arabia$108B1.7%0.5%
19 UAE$108B1.7%6.0%
20 UK$104B1.6%5.3%
Hong Kong ranked second at $367 billion, followed by South Korea, Japan, and Taiwan—all of which saw modest trade growth.
Meanwhile, Vietnam posted a 13.7% increase in bilateral trade, part of a broader surge in trade across the ASEAN region. Chinese exports to Africa also rose 25.8% year over year.
Europe’s Auto Weakness Stands Out
China-Germany trade reached $211 billion in 2025, up 4.6% overall. However, German exports to China fell 9.3% during the year.
Much of that decline reflects weakness in autos. Since 2022, German car exports to China have fallen 66%, raising pressure on manufacturers as domestic Chinese brands gain share.
India ranked 12th overall with $156 billion in trade, posting double-digit growth alongside Indonesia, Vietnam, and Thailand.
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To learn more about this topic, check out this graphic on the top import partner of each U.S. state.
Mapped: The World’s Data Centers by Country (2026)
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The World’s Data Centers by Country (2026)
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Key Takeaways
The U.S. leads with 3,960 data centers, the largest footprint in the dataset.
That’s more data centers than the next 14 countries combined.
Europe clusters heavily (UK, Germany, France lead), while Asia’s footprint is growing (China, India, Japan).
Data centers power everything from streaming and cloud storage to the AI systems reshaping industries. When it comes to scale, one country stands far ahead.
The U.S. has 3,960 data centers in this dataset—more than the next 14 countries combined.
The map above, based on data from Data Center Map, counts operational facilities by country, from small cloud hubs to sprawling colocation campuses. While totals vary by methodology, the concentration of infrastructure in a few major economies is unmistakable.
U.S. Leads by a Wide Margin
With nearly four thousand data centers in this dataset, the U.S. is the world’s largest data center market.
CountryData Centers
USA3,960
United Kingdom498
Germany470
China365
France335
Canada285
India275
Australia268
Japan249
Italy206
Brazil198
Spain189
The Netherlands186
Indonesia184
Russia178
Ireland128
Switzerland113
Sweden110
Malaysia109
Poland97
Finland90
Norway87
South Korea86
Hong Kong85
Denmark81
Turkey76
Chile66
Singapore65
Israel65
Romania63
Mexico62
South Africa61
Thailand59
Saudi Arabia58
United Arab Emirates57
New Zealand57
Czech Republic54
Austria53
Belgium48
Portugal44
Argentina43
Colombia41
Vietnam41
Ukraine37
Taiwan37
Philippines36
Bulgaria31
Pakistan30
Greece25
Latvia24
Nigeria23
Iran20
Slovenia20
Lithuania19
Kenya19
Cyprus18
Hungary17
Panama17
Oman16
Luxembourg16
Kazakhstan15
Bangladesh15
Croatia15
Morocco14
Peru14
Serbia13
Egypt13
Slovakia13
Estonia12
Iceland12
Costa Rica12
Tanzania11
Qatar11
Angola10
Nepal10
Cambodia10
Malta10
Mauritius10
Uruguay10
Ecuador9
Ghana8
Puerto Rico8
Jordan8
Bahrain8
Paraguay7
Guatemala7
Mongolia7
Senegal7
Macedonia7
Venezuela7
Liechtenstein7
Ethiopia6
Uzbekistan6
Moldova6
Ivory Coast6
Mozambique6
Gibraltar6
Algeria6
Isle of Man6
Libya6
Botswana5
Bolivia5
Trinidad and Tobago5
Myanmar5
Reunion5
Kuwait5
Jersey5
Bosnia and Herzegovina4
Sri Lanka4
DR Congo4
Uganda4
Tunisia4
Albania4
Honduras4
Georgia4
Bahamas4
Brunei4
Guam3
El Salvador3
New Caledonia3
Dominican Republic3
Madagascar3
Monaco3
Djibouti3
Curacao3
Rwanda3
Zambia3
Kyrgyzstan3
Nicaragua3
Azerbaijan3
Bhutan3
Guernsey3
Maldives3
Andorra3
Zimbabwe3
Armenia2
Namibia2
French Polynesia2
Belarus2
Togo2
Cameroon2
Jamaica2
Afghanistan2
Bermuda2
Laos2
Lebanon2
Sudan2
Cayman Islands2
Suriname2
Greenland2
Lesotho2
Mayotte1
Iraq1
Guyana1
Syria1
Martinique1
Guinea1
Burkina Faso1
Macau1
French Guiana1
Malawi1
Papua New Guinea1
Republic of the Congo1
Palestine1
Gabon1
Mali1
Equatorial Guinea1
Eswatini1
Kosovo1
Solomon Islands1
Seychelles1
Sierra Leone1
Somalia1
US Virgin Islands1
This U.S. dominance reflects heavy investment by major cloud providers and tech companies. Years of hyperscaler investment help explain why much of the world’s cloud and AI capacity is built in the country.
Some other industry estimates place the U.S. total above 5,000 facilities, reflecting differences in how data centers are defined and counted.
Europe’s Strong Presence
Europe represents the second-largest concentration of data centers globally. The United Kingdom, Germany, and France each have hundreds of data centers. These nations host key internet exchange points and serve as hubs for multinational cloud and IT services.
Other countries like the Netherlands, Spain, and Sweden also maintain strong data center footprints.
Growing Markets in Asia and Beyond
Asia’s footprint is expanding rapidly, led by China, Japan, and India. Rising digital demand and cloud adoption are driving continued expansion across major Asian markets.
Emerging economies also appear on the list, including Indonesia, Malaysia, and South Korea. Meanwhile, smaller countries like Singapore and Hong Kong punch above their weight due to strategic connectivity and business-friendly environments.
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4 Inputs Driving the Rising Cost of Rebuilding
Published 9 hours ago on February 17, 2026
By Julia Wendling
Graphics & Design
Athul Alexander
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4 Inputs Driving the Rising Cost of Rebuilding
Key Takeaways
The cost of disaster recovery have surged since 2019, driven by higher material and labor prices.
Construction inflation is structural, not temporary, with rebuilding now far more expensive even after supply chains normalized.
Higher costs widen the recovery gap, increasing insurance exposure and long-term economic loss after disasters.
Rebuilding after disasters, from hurricanes and floods to wildfires and tornadoes, is becoming significantly more costly across America. Which inputs are driving this trend?
This visualization, created in partnership with Inigo, provides visual context to the rising cost of rebuilding, using data from FRED.
Why Rebuilding Is Getting More Expensive
According to Federal Reserve Economic Data (FRED), prices for key construction inputs for new houses and buildings have climbed sharply since 2019. Fabricated metals are up 46.8%, cement 47.4%, and labor costs 31.5%.
InputChange since Jan 2019 (%)
Fabricated metals46.8
Cement47.4
Lumber26.5
Labor31.5
While the pandemic initially triggered these increases through supply chain disruptions and shortages, prices have remained elevated due to sustained demand for skilled labor, climate-driven rebuilding, and ongoing geopolitical tensions.
What This Means for Property Risk
These higher costs are reshaping recovery timelines and insurance exposure. In many cases, federal requirements (such as rebuilding to current codes to qualify for FEMA funding) push costs even higher.
For property risk teams, the implication is clear: each insured dollar now rebuilds less than it did just a few years ago. That widening recovery gap amplifies the economic impact of every disaster, making accurate valuation, coverage limits, and risk pricing more critical than ever.
Explore the data behind emerging global property risks.
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Visualized: How Cyberattackers Gain Access
Published 6 minutes ago on February 17, 2026
By Ryan Bellefontaine
Graphics & Design
Abha Patil
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The following content is sponsored by Palo Alto
How Cyberattackers Gain Access
Key Takeaways
Identity weaknesses show up in 90% of Unit 42 investigations, so identity is a top control point.
Identity-driven techniques drive 65% of initial access, led by social engineering and credential misuse.
Excess permissions and token abuse help attackers move faster, so least privilege and session hardening matter.
Most breaches don’t start with a rare software exploit. Instead, attackers often gain access by taking over identity and using it like a master key.
This graphic, in partnership with Unit 42 by Palo Alto Networks, shows how cyberattackers gain access by exploiting identity paths, based on data from Unit 42 incident-response investigations.
Identity Is the Practical Perimeter
Here is a table that summarizes the main identity-driven routes attackers use to gain access.
Initial Access 1Initial Access 2Initial Access 3Percentage
OtherOtherOther35%
Identity-based techniquesIdentity-based social engineeringIdentify-based phishing22%
Identity-based techniquesIdentity-based social engineeringOther social engineering11%
Identity-based techniquesCredential misuse and brute forceCredential misuse13%
Identity-based techniquesCredential misuse and brute forceBrute force8%
Identity-based techniquesIdentity policy and insider riskInsider threats8%
Identity-based techniquesIdentity policy and insider riskIAM misconfigurations3%
In the past year, Unit 42 found identity weaknesses played a material role in 90% of investigations. As SaaS and cloud use grow, identity now acts as the perimeter.
Here, “identity-driven” specifically means abusing credentials, sessions, multi-factor workarounds, or permissions to look legitimate. Because that activity blends in, defenders often lose precious time.
The Way In: Identity-Driven Initial Access
Identity-based techniques drive 65% of initial access in Unit 42’s casework. However, many organizations still focus more on patching than authentication, and many still repeat common cybersecurity mistakes that attackers exploit.Social engineering leads at 33%, including phishing designed to bypass MFA and hijack sessions. Meanwhile, credential misuse and brute-force attacks account for 21%, and policy or insider abuse accounts for 11%.
The Way Through: Identity Turns Access Into Impact
Once attackers log in, they can escalate privileges and move laterally with fewer alarms. In turn, Unit 42 found 99% of 680,000 cloud identities held excessive permissions.
Token theft and risky OAuth grants also let adversaries persist without repeated logins. Consequently, one over-privileged human or machine identity can expand the blast radius quickly.
Countermeasures That Disrupt Identity Attacks
Start with phishing-resistant MFA such as passkeys or FIDO2 keys for high-value roles. Next, rotate machine credentials, shorten sessions, and shift admins to just-in-time elevation.
You can also connect identity telemetry across cloud and SaaS to spot unusual access chains sooner.
See why cyberattacks are getting 4x faster
Related Topics: #social engineering #cyber intrusions #phishing #cyberattacks #technology
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Charted: U.S. Pension Retirees Now Outnumber Active Workers
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U.S. Pension Retirees Now Outnumber Active 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
U.S. public pension retirees have outnumbered active workers since 2012.
This shift means fewer contributors supporting a growing number of beneficiaries.
Pension systems are increasingly reliant on investment returns to close the gap.
In 2012, America’s public pension system reached a demographic tipping point: retirees began to outnumber the active workers funding them.
More than a decade later, that reversal remains in place. As Americans live longer and public workforce growth slows, pension systems are paying out more in benefits than they collect from contributors, increasing their reliance on investment returns to stay funded.
This visualization, using data from the Equable Institute, tracks the number of active public employees contributing to pension systems versus retirees receiving benefits from 2001 to 2024.
2012: A Historic Turning Point
In 2001, there were 12.7 million active workers supporting 7.6 million retirees. However, by 2012, retirees (13.3 million) surpassed active workers (13.2 million).
Since then, the gap has widened. By 2023, there were 19.5 million retirees compared to 13.7 million active workers. Although 2024 shows a modest rebound in active workers to 14.5 million, retirees still significantly outnumber contributors.
YearActive Workers (Millions)Retirees (Millions)
200112.77.6
200212.98.0
200313.08.7
200412.99.3
200513.29.9
200613.210.6
200713.510.9
200813.711.3
200913.711.8
201013.712.3
201113.412.7
201213.213.3
201313.013.9
201413.114.3
201513.314.7
201613.315.3
201713.615.5
201813.516.3
201913.216.6
202013.516.6
202113.117.6
202213.418.8
202313.719.5
202414.518.8
Why the Worker-to-Retiree Ratio Matters
Pension systems rely on three main funding sources: employee contributions, employer contributions, and investment income. When active workers decline relative to retirees, contribution inflows shrink while benefit payments rise.
This creates a funding gap: benefit payments exceed contributions from active workers. To cover the difference, pension funds must rely more heavily on investment returns, increasing exposure to market volatility.
Longer Lives, Greater Pressure
Longer retirements mean benefits are paid out for more years per beneficiary. At the same time, slower public workforce growth limits the base of contributors supporting those payments. Even strong investment years may not fully offset this structural shift.
For policymakers, the challenge is balancing sustainability with benefit security. Options often include contribution adjustments, benefit reforms, or changes to investment strategies.
The growing retiree population reflects broader aging trends across the U.S., which are reshaping public finances at both the state and local level.
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Ranked: U.S. States by AI and Data Center Jobs
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Ranked: U.S. States by AI and Data Center Jobs
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Key Takeaways
There are nearly half a million jobs in the AI-infrastructure and data center categories in the United States.
California has the most jobs at 81,577, about 17% of the country total.
There are 11 states that have fewer than 1,000 jobs in this subsector. Alaska has the fewest of any state at just 119.
The AI boom isn’t just about chatbots and software. It’s also creating thousands of jobs tied to the physical infrastructure that powers large-scale computing.
As companies race to build data centers and expand AI capacity, employment tied to AI infrastructure has climbed to 482,716 jobs nationwide, according to 2025 data from the Bureau of Labor Statistics (BLS).
This map ranks all 50 states by AI and data center employment, highlighting where this fast-growing segment of the tech economy has taken root—and which states have built the deepest talent bases.
The AI and Data Center Boom: Jobs by State
California leads the nation with 81,577 AI and data center jobs, accounting for about 17% of the U.S. total.
While California dominates in total jobs, Washington ranks first on a per capita basis, with 289.8 roles per 100,000 residents. This is partially thanks to being home base to companies like Microsoft and Amazon.
RankStateData Center and AI Jobs (2025)Per capita (Jobs per 100k population)
1California81,577204.5
2Texas48,029148.2
3Florida28,682118.0
4New York27,849138.4
5Georgia24,137211.5
6Washington23,650289.8
7Virginia20,434228.0
8Illinois16,625129.4
9New Jersey16,047164.7
10Missouri14,520229.7
11Colorado13,290219.0
12Pennsylvania13,06098.9
13Ohio13,016108.5
14North Carolina12,439109.3
15Arizona10,936140.2
16Michigan10,21499.6
17Massachusetts10,128139.2
18Wisconsin8,377139.1
19Utah8,276228.3
20Tennessee7,918107.2
21Oregon7,653177.6
22Minnesota7,313124.5
23Maryland5,49186.4
24Connecticut4,408117.9
25Arkansas4,048129.5
26South Carolina4,01070.8
27Indiana3,93156.1
28Alabama3,79172.4
29Kentucky3,68479.0
30Iowa3,545107.8
31Louisiana3,23470.0
32Nevada3,04590.3
33Kansas2,53784.3
34Nebraska2,205108.1
35New Hampshire2,128149.6
36Oklahoma1,65039.7
37District of Columbia1,636233.7
38Idaho1,27161.6
39West Virginia1,19567.6
40Mississippi1,13238.5
41New Mexico99846.5
42Maine80957.1
43Rhode Island69661.6
44Hawaii53436.7
45Delaware51647.6
46Montana51644.9
47Vermont48474.7
48South Dakota40443.1
49North Dakota31338.6
50Wyoming21636.4
51Alaska11915.9
-- U.S. Totals482,716139.2
More populous states like Texas (48,029), Florida (28,682), and New York (27,849) are all at the top of the leaderboard in absolute terms. That said, the latter two (Florida and New York) are actually below average in per capita terms.
Silicon Slopes and the Data Center Capital of the World
When sorting the list in per capita terms, the states Utah, Missouri, and Virginia stand out—all making the top five.
Virginia has the world’s largest concentration of data centers (Northern Virginia’s “Data Center Alley”), driven by hyperscalers, federal demand, and dense fiber connectivity.
Utah is known in the tech industry as “Silicon Slopes”, with a budding startup ecosystem, strong SaaS presence, and tax-friendly policies for data center investment.
Finally, Missouri is an emerging Midwest tech hub with growing cloud, geospatial intelligence, and defense-tech activity, supported by low-cost power and central U.S. connectivity.
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Mapped: What Powers Each U.S. State and Canadian Province?
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Mapped: What Powers Each U.S. State and Canadian Province?
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Key Takeaways
Renewables generate 67% of Canada’s electricity, compared to just 22% in the U.S.
Natural gas is the top power source in most U.S. states, while hydro dominates in Canada.
Coal, nuclear, wind, solar, and even petroleum still lead in select regions.
What powers your state or province?
The answer depends heavily on where you live. While natural gas dominates much of the United States, Canada generates two-thirds of its electricity from renewables, largely thanks to hydro power.
This map shows the single largest source of electricity generation in every U.S. state and Canadian province and territory, as of September 2025. The data for this visualization comes from the Canadian Centre for Energy Information and Ember.
Overall, renewables account for 67% of the power mix in Canada, compared to 22% in the United States.
Natural Gas Dominates the U.S. Map
Natural gas is the leading source of electricity in over half of U.S. states. From Texas and Florida to Pennsylvania and Virginia, gas-fired power plants anchor local grids.
This shift reflects the shale boom of the past 15 years, which made gas abundant and relatively cheap. As coal plants retired, natural gas stepped in as a flexible replacement. While cleaner than coal, it remains a fossil fuel and a major source of emissions.
U.S. StateBiggest Electricity Source
AlabamaNatural Gas
AlaskaNatural Gas
ArizonaNatural Gas
ArkansasNatural Gas
CaliforniaSolar
ColoradoNatural Gas
ConnecticutNatural Gas
DelawareNatural Gas
FloridaNatural Gas
GeorgiaNatural Gas
HawaiiPetroleum
IdahoHydro
IllinoisNuclear
IndianaCoal
IowaWind
KansasWind
KentuckyCoal
LouisianaNatural Gas
MaineNatural Gas
MarylandNuclear
MassachusettsNatural Gas
MichiganNatural Gas
MinnesotaNatural Gas
MississippiNatural Gas
MissouriCoal
MontanaCoal
NebraskaCoal
NevadaNatural Gas
New HampshireNuclear
New JerseyNatural Gas
New MexicoWind
New YorkNatural Gas
North CarolinaNatural Gas
North DakotaCoal
OhioNatural Gas
OklahomaNatural Gas
OregonHydro
PennsylvaniaNatural Gas
Rhode IslandNatural Gas
South CarolinaNuclear
South DakotaWind
TennesseeNuclear
TexasNatural Gas
UtahCoal
VermontHydro
VirginiaNatural Gas
WashingtonHydro
West VirginiaCoal
WisconsinNatural Gas
WyomingCoal
Coal still leads in several states, including West Virginia, Wyoming, and Kentucky—regions historically tied to coal mining and production.
Hydro Power Anchors Canada
In Canada, hydroelectricity dominates much of the map. Provinces such as British Columbia, Manitoba, Quebec, and Newfoundland & Labrador generate most of their electricity from large-scale hydro projects.
Canadian ProvinceBiggest Electricity Source
AlbertaNatural Gas
British ColumbiaHydro
ManitobaHydro
New BrunswickNuclear
Newfoundland & LabradorHydro
Northwest TerritoriesPetroleum
Nova ScotiaCoal
NunavutPetroleum
OntarioNuclear
Prince Edward IslandWind
QuebecHydro
SaskatchewanNatural Gas
YukonHydro
Hydro’s strength comes from geography. Abundant rivers and elevation changes allow Canada to produce stable, low-carbon power at scale. As a result, Canada’s power mix is significantly lower in carbon intensity than that of the United States.
However, fossil fuels still play a role. Alberta and Saskatchewan rely primarily on natural gas, while Nova Scotia remains coal-dependent.
Nuclear and Wind Carve Out Regional Strongholds
Nuclear power leads in several key regions. Illinois, Maryland, New Hampshire, Tennessee and South Carolina are the U.S. states where nuclear is the largest source of electricity, while Ontario and New Brunswick also rely heavily on nuclear generation in Canada.
Wind also stands out across the U.S. Midwest. States like Iowa, Kansas, South Dakota, and New Mexico generate more electricity from wind than any other source. Prince Edward Island is Canada’s lone wind-dominant province.
Meanwhile, solar leads in California, reflecting years of aggressive renewable energy policy and large-scale solar investment.
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Ranked: What People Value Most in the U.S., UK, and Germany
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Ranked: What Matters Most in Life in the U.S., UK, and Germany
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Key Takeaways
Family life ranks as the top priority in all three countries, especially in the UK.
Americans place more emphasis on personal growth and faith, while Germans prioritize health and security.
If you had to choose just three things that matter most in life, what would they be?
Across the U.S., UK, and Germany, family and health dominate. But after that, national differences emerge. Germans lean toward security and stability. Americans stand out for money, growth, and faith. In the UK, work-life balance comes into the fold as a top priority.
The data for this visualization comes from Statista Consumer Insights. Over 1,000 adults per country were surveyed in January 2026 and asked to select up to three personal values that matter most in their lives.
Family Comes First
Family life ranks as the most important value in all three countries.
In the UK, 51% of respondents selected family as a top priority, the highest share among the three nations. Germany follows at 43%, while 42% of Americans say family matters most.
Priority Category United Kingdom (%) Germany (%) United States (%)
Family-life514342
Health444940
Making money25-26
Work-life balance24--
Safety/security2230-
Freedom/independence-27-
Friendships-26-
Personal growth--24
Faith/spirituality--21
Because respondents could choose multiple answers, percentages do not sum to 100%.
Health and Security Stand Out in Germany
Germans place a particularly strong emphasis on health, with 49% identifying it as a top value.
Safety and security (30%) and freedom/independence (27%) also rank highly in Germany. Friendships, at 26%, further suggest a focus on stability and social cohesion.
Money, Growth, and Faith in the U.S.
In the United States, making money ranks relatively high at 26%, slightly above the UK (25%).
Americans are also more likely to prioritize personal growth (24%) and faith or spirituality (21%), categories that did not rank among the top responses in the UK or Germany.
Work-life balance, cited by 24% in the UK, stands out as a distinctly British priority in this comparison.
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Visualizing the Critical Minerals Powering the AI Boom
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Visualizing the Critical Minerals Powering the AI Boom
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Key Takeaways
The U.S. is 100% import reliant for several critical minerals used in AI-related infrastructure.
Core data center components—from circuitry to magnets—depend heavily on foreign-sourced materials.
The artificial intelligence boom is driving an unprecedented buildout of data centers across the United States.
Behind every AI model and cloud server sits a complex web of minerals that make modern computing possible. From semiconductors to cooling systems, these materials form the backbone of digital infrastructure.
This visualization breaks down the critical minerals used in AI data centers—and how reliant the U.S. is on imports for each. The data for this visualization comes from the U.S. Geological Survey (USGS).
Semiconductors: America’s Biggest Vulnerability
Semiconductors are the “brains” of AI data centers—and they are highly import dependent. The U.S. is 100% reliant on imports for arsenic, fluorspar, gallium, germanium, indium, and tantalum used in chip production.
It also imports 85% of its platinum and 36% of its palladium needs, both critical for chip manufacturing.
While silicon, the base material for chips, has less than 50% import reliance, many of the trace elements that enable advanced computing are entirely foreign-controlled.
Data center componentCritical mineralU.S. import reliance (%)
Server boards and circuitrySilver64%
Gold0%
Copper45%
Tin73%
Tantalum100%
Palladium36%
Platinum85%
Heat sinksAluminum47%
Copper45%
Semiconductors and microchipsArsenic100%
Fluorspar100%
Gallium100%
Germanium100%
Indium100%
Palladium36%
Platinum85%
Silicon75%
Boron0%
Rare earth elements80%
Circuitry and Server Components
Beyond chips, server boards and circuitry require a range of conductive and precious metals. The U.S. imports 64% of its silver and 73% of its tin, both vital for soldering and electrical conductivity.
Copper—essential for wiring and connectivity—has a 45% import reliance. Tantalum, used in capacitors, is 100% imported.
Gold stands out as a rare exception, with 0% net import reliance, offering a small pocket of domestic security in an otherwise globalized supply chain.
Cooling Systems and Data Storage
AI servers generate massive heat loads, making cooling systems crucial. Heat sinks rely on aluminum (47% import reliance) and copper (45%).
Meanwhile, data storage components such as magnets and drives depend on rare earth elements, with 80% import reliance. Barite—used in storage-related applications—has also more than 75% reliance.
China’s Commanding Share
Currently, China dominates the production of most of the critical minerals used in data centers. This near-monopoly has become a major concern for other nations, with the U.S. government currently pushing for increased domestic production of these materials.
In addition to being the leading producer, China also controls much of the refining capacity for many of these minerals. For example, around 90% of rare earths are refined in China.
In the race to dominate AI, access to critical minerals may prove just as important as technological leadership.
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The Periodic Table of STEM Careers
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The Periodic Table of STEM Careers
Key Takeaways
STEM occupations span eight major groups, from computer science and engineering to life and physical sciences.
Computer, math, and data-related roles are among the fastest-growing STEM fields over the next decade.
Many high-paying STEM jobs require at least a bachelor’s degree, highlighting the strong link between education and earnings.
STEM careers are projected to grow steadily over the next decade, with some roles expanding nearly 30% and median salaries topping $170,000 per year.
To show how these careers relate to one another, the U.S. Bureau of Labor Statistics (BLS) created a “periodic table” of STEM occupations. The visual groups jobs into eight major fields and highlights projected employment growth (2024–2034), median wages, and typical education requirements.
The Data Behind the Table
Below is a snapshot of the data behind the visualization, based on BLS employment projections and wage estimates.
2024 National Employment Matrix titleSTEM GroupEmploy. change (2024–34P, %)Median wage (2024)Typical education needed
ChemistsChemistry4.9$84,150Bachelor's degree
Chemical techniciansChemistry3.7$57,790Associate's degree
Chemistry teachers, postsecondaryChemistry2.2$86,220Doctoral or prof. degree
Computer and information systems managersCompSci15.2$171,200Bachelor's degree
Information security analystsCompSci28.5$124,910Bachelor's degree
Computer network architectsCompSci11.9$130,390Bachelor's degree
Chemical engineersEngineering2.6$121,860Bachelor's degree
Mechanical engineersEngineering9.1$102,320Bachelor's degree
Civil engineering technologists and techniciansEngineering2.1$64,200Associate's degree
Enviro. scientists and specialists (inc. health)Enviro. Science4.4$80,060Bachelor's degree
Enviro. science and protection technicians (inc. health)Enviro. Science4$49,490Associate's degree
Enviro. science teachers, postsecondaryEnviro. Science2.9$87,710Doctoral or prof. degree
Geoscientists (ex. hydrologists and geographers)Geoscience3.2$99,240Bachelor's degree
HydrologistsGeoscience-0.1$92,060Bachelor's degree
Geological technicians (ex. hydrologic technicians)Geoscience1.5$48,390Associate's degree
Soil and plant scientistsLife Sciences5.4$71,410Bachelor's degree
MicrobiologistsLife Sciences4.1$87,330Bachelor's degree
EpidemiologistsLife Sciences16.2$83,980Master's degree
ActuariesMathematics21.8$125,770Bachelor's degree
MathematiciansMathematics-0.7$121,680Master's degree
StatisticiansMathematics8.5$103,300Master's degree
AstronomersPhysics2.2$132,170Doctoral or prof. degree
PhysicistsPhysics4$166,290Doctoral or prof. degree
Physics teachers, postsecondaryPhysics2.5$97,360Doctoral or prof. degree
Computer and information systems roles stand out for both pay and growth, while math-heavy fields like actuaries and statisticians also rank near the top in median wages. On the other end, technician roles typically require less formal education but offer lower pay and slower growth.
What Qualifies as a STEM Occupation?
According to the BLS, STEM occupations are defined by their heavy use of science, engineering, computer, or mathematical principles. This includes not only well-known roles like software developers or engineers, but also educators, technicians, and researchers who support STEM work across industries.
The BLS STEM table groups these jobs into eight categories: chemistry, computer science, engineering, environmental science, geosciences, life sciences, mathematics, and physics/astronomy. This structure helps show how closely related roles can differ significantly in education requirements and career outcomes.
Which STEM Fields Are Growing the Fastest?
Growth is not evenly distributed across STEM.
Computer science and mathematics occupations—such as information security analysts, data scientists, and statisticians—are projected to grow much faster than average, driven by digital transformation and data-intensive decision-making. Life sciences and environmental science roles are also expanding as healthcare, public health, and climate-related work increase in importance.
These trends reinforce why many of the college degrees with the highest return on investment are concentrated in STEM fields, where demand continues to outpace supply.
Education, Pay, and Career Pathways
The periodic table also makes one thing clear: education matters.
Many of the highest-paying STEM roles require a bachelor’s degree or higher, while positions requiring a master’s or doctoral degree often come with specialized expertise and narrower career tracks. At the same time, associate-level STEM roles can provide accessible entry points into technical careers.
Mapped: The World’s Countries by Political System
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Mapped: The World’s Countries by Political System
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Key Takeaways
72% of the world’s population now lives under autocratic rule, the highest share since 1978.
Electoral autocracies—where elections exist but lack fairness—are now the most common regime type globally.
Liberal democracies remain concentrated in Western Europe, North America, Oceania, and parts of East Asia.
Nearly three-quarters of the world’s population now lives under autocratic rule, according to the V-Dem Institute’s 2024 Regimes of the World report. That’s the highest share since 1978.
The map above classifies every country into one of four political systems: closed autocracy, electoral autocracy, electoral democracy, or liberal democracy.
The results point to a decades-long shift in global governance, with electoral autocracies now the most common regime type worldwide.
The Four Types of Political Regimes
-Dem classifies countries based on the competitiveness of elections, protection of civil liberties, and the strength of institutional checks and balances.
Here’s how the four categories differ:
Closed autocracies have no meaningful multiparty elections and suppress core democratic freedoms. Countries like China, Saudi Arabia, and North Korea fall into this group.
Electoral autocracies hold multiparty elections, but they are not free or fair. Media restrictions, weakened opposition, and limited civil liberties are common. This category includes countries such as Russia, India, and Turkey.
Electoral democracies conduct free and fair elections and protect basic rights, but may lack strong institutional constraints. Examples include Argentina, Poland, and the United Kingdom.
Liberal democracies go further, combining competitive elections with robust rule of law and checks and balances. Countries such as Germany, Japan, United States, and Uruguay are classified in this highest tier.
Scroll down to see how every country is classified.
Autocracy Is the Most Common Regime
Electoral autocracy is now the most common regime type in the world.
This category spans every continent, from Sub-Saharan Africa to South Asia and parts of Latin America. In many cases, democratic institutions still exist on paper, but their independence has eroded.
Large-population countries shifting toward electoral autocracy have an outsized effect on global trends. As a result, even if the number of democracies remains substantial, the share of people living under autocratic rule continues to grow.
CountryRegime
AfghanistanClosed Autocracy
AlbaniaElectoral Autocracy
AlgeriaElectoral Autocracy
AngolaElectoral Autocracy
ArgentinaElectoral Democracy
ArmeniaElectoral Democracy
AustraliaLiberal Democracy
AustriaElectoral Democracy
AzerbaijanClosed Autocracy
BangladeshElectoral Autocracy
BarbadosLiberal Democracy
BelarusClosed Autocracy
BelgiumLiberal Democracy
BeninElectoral Autocracy
BhutanElectoral Democracy
BoliviaElectoral Democracy
BotswanaElectoral Democracy
BrazilElectoral Democracy
BruneiClosed Autocracy
BulgariaElectoral Democracy
Burkina FasoElectoral Autocracy
BurundiClosed Autocracy
CambodiaElectoral Autocracy
CameroonElectoral Autocracy
CanadaElectoral Democracy
Cape VerdeElectoral Democracy
Central African RepublicElectoral Autocracy
ChadElectoral Autocracy
ChileLiberal Democracy
ChinaClosed Autocracy
ColombiaElectoral Democracy
ComorosElectoral Autocracy
Congo (Brazzaville)Electoral Autocracy
Costa RicaLiberal Democracy
Côte d’IvoireElectoral Autocracy
CroatiaElectoral Democracy
CubaClosed Autocracy
CyprusElectoral Democracy
CzechiaLiberal Democracy
DenmarkLiberal Democracy
Dominican RepublicElectoral Democracy
EcuadorElectoral Democracy
EgyptElectoral Autocracy
El SalvadorElectoral Autocracy
EritreaClosed Autocracy
EstoniaLiberal Democracy
EswatiniElectoral Autocracy
EthiopiaElectoral Autocracy
FinlandLiberal Democracy
FranceLiberal Democracy
GabonElectoral Autocracy
GambiaElectoral Democracy
GeorgiaElectoral Autocracy
GermanyLiberal Democracy
GhanaElectoral Democracy
GreeceElectoral Democracy
GuatemalaElectoral Democracy
GuyanaElectoral Autocracy
HaitiClosed Autocracy
HondurasElectoral Autocracy
HungaryElectoral Autocracy
IcelandLiberal Democracy
IndiaElectoral Autocracy
IndonesiaElectoral Autocracy
IranClosed Autocracy
IrelandLiberal Democracy
IsraelElectoral Democracy
ItalyLiberal Democracy
JamaicaLiberal Democracy
JapanLiberal Democracy
JordanElectoral Autocracy
KazakhstanClosed Autocracy
KenyaElectoral Autocracy
KosovoElectoral Democracy
KuwaitElectoral Autocracy
LaosClosed Autocracy
LatviaLiberal Democracy
LebanonElectoral Autocracy
LesothoElectoral Democracy
LiberiaElectoral Democracy
LibyaClosed Autocracy
LithuaniaElectoral Democracy
LuxembourgLiberal Democracy
MadagascarElectoral Autocracy
MalawiElectoral Democracy
MalaysiaElectoral Autocracy
MaldivesElectoral Democracy
MaltaElectoral Democracy
MauritaniaElectoral Autocracy
MauritiusElectoral Autocracy
MexicoElectoral Autocracy
MongoliaElectoral Autocracy
MontenegroElectoral Democracy
MoroccoElectoral Autocracy
MozambiqueElectoral Autocracy
MyanmarElectoral Autocracy
NepalElectoral Democracy
NetherlandsLiberal Democracy
New ZealandLiberal Democracy
NicaraguaElectoral Autocracy
NigerElectoral Autocracy
NigeriaElectoral Autocracy
North KoreaClosed Autocracy
NorwayLiberal Democracy
OmanClosed Autocracy
PakistanElectoral Autocracy
PanamaElectoral Democracy
ParaguayElectoral Democracy
PeruElectoral Democracy
PolandElectoral Democracy
PortugalElectoral Democracy
QatarClosed Autocracy
RomaniaElectoral Democracy
RussiaElectoral Autocracy
RwandaElectoral Autocracy
Saudi ArabiaClosed Autocracy
SenegalElectoral Democracy
SerbiaElectoral Autocracy
SeychellesLiberal Democracy
Sierra LeoneElectoral Autocracy
SingaporeElectoral Autocracy
SlovakiaElectoral Democracy
SloveniaElectoral Democracy
Solomon IslandsElectoral Democracy
SomaliaElectoral Autocracy
South AfricaLiberal Democracy
South SudanClosed Autocracy
SpainLiberal Democracy
Sri LankaElectoral Democracy
SudanClosed Autocracy
SurinameElectoral Democracy
SwedenLiberal Democracy
SwitzerlandLiberal Democracy
SyriaClosed Autocracy
TaiwanLiberal Democracy
TajikistanClosed Autocracy
TanzaniaElectoral Autocracy
ThailandElectoral Autocracy
TogoElectoral Autocracy
Trinidad and TobagoElectoral Democracy
TunisiaElectoral Autocracy
TurkeyElectoral Autocracy
TurkmenistanClosed Autocracy
UgandaElectoral Autocracy
United Arab EmiratesClosed Autocracy
United KingdomElectoral Democracy
United StatesLiberal Democracy
UruguayLiberal Democracy
UzbekistanClosed Autocracy
VanuatuElectoral Democracy
VenezuelaElectoral Autocracy
VietnamClosed Autocracy
YemenClosed Autocracy
ZambiaElectoral Autocracy
ZimbabweElectoral Autocracy
Where Liberal Democracy Persists
Liberal democracies are concentrated in Western Europe, parts of East Asia, Oceania, and North America.
Nordic countries such as Sweden, Norway, and Finland remain among the strongest performers. So do nations like Australia, New Zealand, Japan, and Taiwan.
However, even among established democracies, concerns about polarization, declining trust in institutions, and pressure on judicial independence have intensified in recent years.
While democratic systems still govern many countries, the overall global trend shows autocratic systems expanding their reach in terms of population.
Methodology
The classifications are based on the V-Dem Institute’s 2024 Regimes of the World dataset, which evaluates countries across indicators including electoral integrity, civil liberties, judicial independence, and executive constraints.
Countries are then grouped into one of four regime types to provide a simplified view of the global political landscape.
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Ranked: Countries with the Most Winter Olympics Medals
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Ranked: Countries with the Most Winter Olympics Medals
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Key Takeaways
Norway leads all nations with 405 total Winter Olympic medals, including 148 golds.
The United States ranks second overall, while Germany places third based on gold medals.
This ranking shows the countries with the most all-time Winter Olympics medals, split by gold, silver, and bronze.
Notably, the data does not include medals from Milano Cortina 2026, which is currently in progress.
The data for this visualization comes from the International Olympic Committee. It ranks National Olympic Committees (NOCs) by total Winter Olympic medals.
Norway’s Unmatched Winter Legacy
Norway stands firmly at the top with 405 total medals, including 148 golds across 24 Winter Games.
With a population of just over 5 million, Norway’s dominance is remarkable. The country excels in Nordic skiing, biathlon, and speed skating.
The United States ranks second overall with 330 medals, including 114 golds. Team USA has found success across a broad mix of events, from snowboarding to ice hockey.
RankCountryGoldSilverBronzeTotal Medals
1 Norway148134123405
2 United States11412195330
3 Germany1059765267
4 Austria718891250
5 Canada777276225
6 Soviet Union785759194
7 Sweden655160176
8 Finland456565175
9 Switzerland634758168
10 Netherlands534945147
11 Italy424356141
12 France414255138
13 Russia473935121
14 East Germany393635110
15 South Korea33301679
16 China22322377
17 Japan17293076
18 West Germany11151339
19 Great Britain1251734
20 Czech Republic10111334
Canada, ranked fifth, has earned 225 total medals. The country is especially strong in ice hockey, freestyle skiing, and short track speed skating.
Germany and the Soviet Legacy
Germany ranks third overall with 267 total medals—but has competed in only 13 Winter Games in its current form.
When including East Germany (110 medals) and West Germany (39 medals), the broader German Olympic legacy becomes even more significant.
The Soviet Union, which competed in just nine Winter Games, collected 194 total medals. Russia, listed separately, has added 121 medals across six appearances.
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Ranked: The Best Countries at Creative Thinking
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Ranked: The Best Countries at Creative Thinking
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Key Takeaways
Singapore ranks first globally in creative thinking, the only country to score over 40 on the OECD’s most recently released assessment of students.
Countries with strong education systems tend to cluster around the OECD mean score of 33.
Creativity is increasingly seen as a core skill for the modern economy. As automation and AI reshape jobs, the ability to generate original ideas and solve unfamiliar problems is becoming just as important as technical knowledge.
This infographic ranks countries by how well students perform in creative thinking.
The data for this visualization comes from the OECD’s PISA 2022 Creative Thinking assessment. This evaluation measures how effectively students aged 15 and 16 generate original ideas, evaluate them, and refine solutions to real-world problems, with top performers scoring above 40 points.
Singapore Leads by a Clear Margin
Singapore ranks first overall with a mean creative thinking score of 41, making it the only country to cross the 40-point threshold. This result mirrors its strong performance in other PISA domains such as math and science.
The country’s curriculum emphasizes problem-based learning and interdisciplinary thinking, which may help explain its lead, despite perceptions that Singaporeans lack creativity.
RankCountryScore
1 Singapore41
2 South Korea38
3 Canada38
4 Australia37
5 New Zealand36
6 Estonia36
7 Finland36
8 Denmark35
9 Latvia35
10 Belgium35
11 Poland34
12 Portugal34
13 Taiwan33
14 Lithuania33
15 Spain33
16 Czechia33
17 Germany33
OECD average33
18 Macao32
19 Hong Kong32
20 France32
21 Netherlands32
22 Israel32
23 Italy31
24 Malta31
25 Hungary31
26 Chile31
27 Croatia30
28 Iceland30
29 Slovenia30
30 Greece27
Strong Performance Across Smaller Advanced Economies
A group of advanced economies cluster just below the top spot. Korea and Canada share second place with scores of 38, followed closely by Australia and New Zealand.
Several European countries, including Estonia, Finland, Denmark, and Latvia, also perform above the OECD average.
Most Countries Sit Near the OECD Average
The OECD average score for creative thinking is 33, and many countries fall close to this level. Germany, Spain, Taiwan, and Czechia all score exactly at the average. Toward the bottom, Greece records the lowest score at 27, suggesting larger gaps in creative skill development.
Notably, the United States did not participate in the PISA 2022 creative thinking assessment.
Learn More on the Voronoi App
If you enjoyed today’s post, check out Ranked: The Best Countries at Math on Voronoi, the new app from Visual Capitalist.
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