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Hawaii Has America's Highest Life Expectancy, West Virginia The Lowest

Life expectancy varies widely across the U.S., with clear regional patterns emerging in the latest data.

States in the Northeast and on the West Coast tend to have higher life expectancies, while many in the South and Appalachia rank lower.

This map, via Visual Capitalist's Niccolo Conte, shows these differences using data from the CDC’s National Center for Health Statistics, based on 2022 life tables published in December 2025, the latest publicly available state-level figures as of March 2026.

The CDC’s report uses period life tables, which estimate how long a hypothetical group would live if it experienced the death rates observed in 2022 at every age. In other words, the measure captures current mortality conditions in each state, not a forecast for babies born there today.

Where Americans Live the Longest, and the Shortest

Among the 50 states and D.C., Hawaii had the highest life expectancy at birth in 2022 at 80.0 years. Massachusetts followed at 79.8, with New Jersey, New York, and Connecticut close behind.

The data table below shows the life expectancy of every U.S. state and D.C.:

Rank State Life Expectancy (Years) 1 Hawaii 80.0 2 Massachusetts 79.8 3 New Jersey 79.6 4 New York 79.5 5 Connecticut 79.4 6 California 79.3 7 Minnesota 79.3 8 Rhode Island 79.2 9 Utah 79.0 10 New Hampshire 78.7 11 Colorado 78.5 12 Idaho 78.4 13 Washington 78.4 14 Nebraska 78.3 15 Vermont 78.3 16 Wisconsin 78.1 17 North Dakota 77.9 18 Iowa 77.9 19 Florida 77.9 20 Maryland 77.8 21 Oregon 77.7 22 Illinois 77.5 23 Virginia 77.5 24 Pennsylvania 77.3 25 South Dakota 77.3 26 Montana 77.3 27 Texas 77.1 28 Wyoming 76.8 29 Michigan 76.8 30 Arizona 76.7 31 Maine 76.6 32 District of Columbia 76.6 33 Delaware 76.5 34 Kansas 76.5 35 Nevada 76.4 36 Georgia 75.9 37 North Carolina 75.9 38 Alaska 75.8 39 Ohio 75.6 40 Indiana 75.4 41 Missouri 75.2 42 South Carolina 75.1 43 New Mexico 74.5 44 Arkansas 73.9 45 Oklahoma 73.8 46 Tennessee 73.8 47 Alabama 73.8 48 Louisiana 73.8 49 Kentucky 73.6 50 Mississippi 72.6 51 West Virginia 72.2

On the other end of the ranking, West Virginia came in last at 72.2 years, behind Mississippi at 72.6 and Kentucky at 73.6.

The broad pattern is regional: the Northeast and West Coast have higher life expectancies, while many Southern and Appalachian states cluster at the bottom.

Why the National Average Misses the State Divide

While the national average is 77.5 years, only 21 states cleared that mark. Illinois and Virginia matched it exactly, and the remaining 28 states came in below it.

The CDC also found that females had higher life expectancy than males in every state and D.C., but the size of that gender gap varied widely. States on the lower end of life expectancy tended to have larger divides, while higher-ranked states had smaller gaps.

For example, New Mexico (ninth-lowest life expectancy at 74.5) recorded the largest female-male gap at 6.9 years, while Utah (ninth-highest at 79 years) had the smallest at 3.6 years.

If you enjoyed today’s post, check out Why Living Longer Isn’t Always Living Healthier on Voronoi.

Tyler Durden Fri, 05/01/2026 - 20:55

Ex-"Parks and Recreation" star Adam Scott said the US has lost its "innocence" after President Donald Trump ran his initial campaign for the Oval Office in 2015.

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Russia Now Main Supplier Of Oil To Post-Assad Syria, Despite Pivot To West

Via The Cradle

Russia has become Syria's leading supplier of oil since the collapse of former Syrian president Bashar al-Assad’s government and the rise to power of former Al-Qaeda chief Ahmad al-Sharaa, according to Reuters. 

Shipments of Russian oil have risen by 75 percent this year to roughly 60,000 barrels per day (bpd), based on Reuters calculations using official data and vessel tracking from LSEG, MarineTraffic, and Shipnext.

Getty Images

While these volumes account for only a small fraction of Russia’s total global oil exports, they are significant for Syria. With domestic production still well below demand, Russian supplies have made Moscow the country’s leading crude provider.

According to two analysts and three Syrian officials cited by Reuters, the trade is driven by economic necessity in Damascus while also allowing Moscow to maintain influence in Syria. 

The energy supplies risk complicating Syrian ties with Washington and the EU, sources were cited as saying. 

“If the US were to fail to reach an agreement or settlement with Russia regarding Ukraine, it wouldn’t be a surprise if it told Syria overnight to stop buying these oil shipments,” said economist Karam Shaar. 

Syria has undergone a major shift toward Washington and the west since Assad’s ouster. The US has declared Damascus a partner and ally in the fight against ISIS – ignoring the Syrian government’s ties to the extremist organization. 

Damascus was also engaged in talks with Israel throughout last year, and began a crackdown on Palestinian resistance factions in Syria at Washington’s request. 

As a result, most US sanctions have been lifted. Despite this, Syria has not been fully integrated into the global economic system. 

Russia was a prime supporter of the Assad government. Throughout the 14-year war in Syria, Russian airstrikes repeatedly targeted extremist groups – which now make up the bulk of Syria's official military and security apparatus. 

But ties have improved, and Russia has retained a military presence inside Syria following negotiations with Damascus throughout 2025. 

In March last year, Reuters reported that Syria was receiving currency shipments from Russia. 

Tyler Durden Fri, 05/01/2026 - 20:35

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Estée Lauder Accelerates Turnaround, Adds 3,000 Jobs To Chopping Block

Beauty and cosmetics giant Estée Lauder is accelerating its workforce restructuring, announcing Friday morning that it will cut another 3,000 jobs, bringing total planned reductions to as many as 10,000 roles. The move is expected to unlock hundreds of millions of dollars in additional savings. Still, it also suggests a deeper reset in the company's workforce after its hiring spree leading up to  Covid, potentially putting a long-term cap on headcount.

The owner of Clinique, La Mer, MAC, Aveda, Bobbi Brown, Jo Malone London, Le Labo, Tom Ford Beauty, Too Faced, and others wrote in an earnings press release that it now "estimates a final net reduction in positions of 9,000 to 10,000, an increase from 5,800 to 7,000." In other words, management found another 3,000 jobs to cut.

According to Bloomberg data, Estée Lauder has a global workforce of about 40,470 as of the second quarter of 2025. The total workforce peaked in 2022 at around 44,800, ending a multi-decade hiring spree.

"Over 70% of the increase is attributable to the reduction in point-of-sale demonstration roles at select unproductive doors in its department store and freestanding store channels, as the Company continues to evolve its focus towards high-growth channels," the company noted.

Management said the restructuring is based on four objectives:

1. reorganization and rightsizing of certain areas,

2. simplification and acceleration of processes,

3. outsourcing of select services and

4. evolution of go-to-market footprint and selling models, all to help rebuild operating margin and also fuel reinvestment in consumer-facing areas to drive sustainable sales growth.

Shares jumped as much as 16% in premarket trading, and if those gains hold through the cash session, it would be the largest increase since November 3, 2011. The optimism stemmed from Estée Lauder's earnings report, which raised its profit outlook.

The company now expects adjusted EPS of $2.35 to $2.45, above analyst estimates tracked by Bloomberg and higher than its prior $2.05 to $2.25 range. Organic sales growth is expected to be 3%, at the high end of previous guidance.

Shares are trading around 2016 levels after what can only be described as a boom-and-bust cycle, peaking in 2021. Shares remain down roughly 80%, as of Thursday's close, from the peak of $370 in late 2021.

The question Wall Street analysts have been asking is whether CEO Stéphane de La Faverie's turnaround will be successful.

Tyler Durden Fri, 05/01/2026 - 20:10

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A Robot Economy: Who Gets Rich, Who Gets Left Behind

Authored by Lance Roberts via RealInvestmentAdvice.com,

Robots are coming to the economy. It is inevitable, really, and there is nothing that will stop it. At some point in the not-so-distant future, robots will infiltrate every aspect of our lives, from office work and manufacturing to service work and trade skills, and even your home. Here are some numbers for you.

The real question I want to explore in today’s post is what happens to the people who don’t own the robots? Let’s dig in.

I spent the past week reading through a detailed account of what’s happening inside Figure’s robotics facility in San Jose, and I want to be direct: the humanoid robots economy is no longer a thought experiment. Figure’s latest robot ran for 67 consecutive hours of fully autonomous work, kitchen tasks, package handling, and logistics, without a single error. That’s not a demo reel, that’s a product. When you factor in a projected lease cost of roughly $10 a day, it’s a product priced to replace the single largest input cost on every corporate income statement in America: human labor.

The optimists call what’s coming the “age of abundance.” Cheaper goods, freed-up time, robots building robots until supply constraints essentially disappear. That would be incredible, and you should not dismiss that vision. Furthermore, I think it’s directionally correct over a long enough horizon. But after 35 years of watching economic cycles play out, I’ve learned that the gap between a macro promise and the lived experience of actual households is where the real story lives.

In an upcoming article, we will dig deeper into the problems plaguing the K-shaped economy. However, that bifurcated structure, in which higher-income households ascend while lower-income ones stagnate, was already a structural feature of American life before a single humanoid robot touched a factory floor. Back to our question, does the arrival of humanoid robots at scale fix that problem? Or, does it make it dramatically worse? The answer, I believe, is both, in that order, and separated by a decade of potential pain.

The Technology Of Robots Is Not Waiting For A Policy Response

It’s worth taking the technology seriously before discussing the economics, because the economics are downstream of the hardware reality. Figure has replaced over 100,000 lines of handwritten control code with a single neural network — what they call Helix 2 — that controls the robot’s entire body in real time. The key shift is that neural networks learn from data rather than explicit instructions. Once a robot masters a task, that knowledge propagates instantly across the entire fleet. Humans don’t work that way. Robots do.

At $300 per month to lease, against a U.S. minimum wage that runs $15 to $20 per hour, a humanoid robot is already 50 times cheaper than the human it displaces, and it works around the clock without benefits, turnover, or OSHA violations. The corporate incentive to adopt is not subtle. JPMorgan’s own disclosures describe AI-driven efficiency gains of 40% to 50% in certain operations. Add a physical labor layer to that, and you have the most powerful deflationary force for corporate margins in modern history.

While shareholders of corporations with large labor forces will love the improvement in profit margins, workers will not. That asymmetry is not a flaw in the system; it’s a feature of who owns the system. And that ownership structure is the core issue this article is really about.

The K-Shaped Economy Was Already Broken

Here’s what makes the discussion of humanoid robots’ economy so complicated: we’re not starting from a position of broad-based prosperity. The K-shaped economy is already a structural, not cyclical, feature of modern America. The Federal Reserve’s own data shows the top 1% of households hold nearly 32% of total net worth, while the bottom 50% collectively hold 2.5%. The portion of GDP flowing to workers as compensation just hit its lowest level in over 75 years of Bureau of Labor Statistics tracking. The middle class shrank from 61% of the population in 1971 to barely 51% in 2023.

Moody’s Analytics chief economist Mark Zandi described this not as a temporary anomaly but as “a structural, fundamental issue.” U.S. Bank’s economics team concluded in their 2026 report that income concentration now exceeds its pre-pandemic peak and sits at levels not seen in 60 years. These figures predate the meaningful deployment of humanoid robots. They reflect decades of technology-driven productivity gains that have flowed disproportionately to capital owners rather than to labor.

“The gains from technology have reliably accrued to capital. There is no structural reason to expect the arrival of humanoid robots to reverse that pattern — and strong structural reasons to expect it accelerates it.” – US Bank

Fortune’s analysis earlier this year captured the consensus view among economists. That view is that while AI and robots may eventually close the inequality gap, productivity gains need to first reach low-skilled workers. That must come through real wage increases at the bottom of the distribution, before that convergence happens. That process won’t complete until well into the 2030s at the earliest. In the meantime, the wealth effect continues to push the two tracks of the K further apart.

Stanford’s Erik Brynjolfsson, director of the Stanford Digital Economy Lab, drew a blunt historical parallel: the Midwest auto communities hollowed out by trade and automation in the 1990s. But the coming displacement is potentially 10 to 100 times more disruptive — not because it’s faster, but because it spans both blue-collar and white-collar work simultaneously. Software engineers, call center workers, and administrative roles face AI-driven displacement. Factory workers, warehouse staff, and service workers are facing displacement by humanoid robots. There’s no obvious “up-the-ladder” escape hatch when both rungs are being removed at once.

We already discussed the structural challenge in our January 2026 piece on AI Productivity, Employment, and UBI. The IMF estimates that AI could significantly affect nearly 40% of jobs worldwide. But the distribution of risk is deeply unequal. Entry-level roles, historically the on-ramp for younger workers without established skills, are exactly the jobs being automated first.

“The pace of technological change means millions of Americans face an uncertain labor market. Young workers entering the workforce find fewer traditional hiring pathways and rising expectations around digital and AI‑related skills. Older workers frequently lack the time or resources to retrain in rapidly shifting skill environments. Across age groups, employers deploying AI experience reduced labor costs and increased productivity, which simultaneously puts pressure on wages and job security.”

The problem already exists, and robots will likely only make things worse. For example, layoffs in 2025 ran more than 50% above the prior year, according to Challenger, Gray & Christmas. That displacement risk will grow further as robots enter the mainstream.

As we concluded in that previous article:

“The reality is stark. The economy may grow, but how the gains are distributed will determine whether everyday Americans thrive or struggle. Without structural policy interventions, technological displacement risks widening income inequality and weakening labor market attachment. The promise of more leisure, education, and family time from productivity gains remains theoretical. If workers lack stable incomes, employment opportunities, or bridging support, the rest won’t matter.”

But, this is where the “cries for UBI” become most vocal.

The UBI Trap

When people confront this picture, the political reflex is predictable: send checks. Universal Basic Income has become the default policy proposal for managing automation-driven displacement, and it’s worth taking seriously, not because it works, but because understanding why it doesn’t tells you a great deal about what actually might.

We covered the evidence in detail in our earlier piece on UBI experiments. The real-world results were consistent: cash transfers increased short-term consumption and reduced reported stress. They did not raise employment. They did not meaningfully increase retraining, skill development, or entrepreneurship. The largest behavioral response was an uptick in what researchers categorized as “social and solo leisure activities.” Legendary investor Howard Marks framed the core problem plainly: financial support alone cannot replace the psychological and social benefits of employment. Work provides identity, structure, and purpose, not just income. A check replaces the wage. It replaces nothing else.

The structural flaw is deeper than behavioral. An economy cannot function on transfers alone. Production must precede consumption. When the government sends checks to households without a corresponding increase in productive output, the result is inflation, exactly what 2020–2022 demonstrated. Producers observe increased purchasing power and raise prices to capture it. The real value of the transfer evaporates. A national UBI program large enough to offset meaningful displacement would cost trillions annually, requiring higher taxes or debt expansion, each of which suppresses the private investment needed to create new roles.

While that all seems bad, there is a more optimistic possibility, and why I want to push back on the dystopian framing. First, I don’t think the outcome is predetermined. The Industrial Revolution created enormous displacement: artisans lost work to mechanized production, and whole trades disappeared. But it also produced a century of rising living standards for people who successfully transitioned into new economic roles. The difference between that transition going well and going badly was not a UBI check. It was access to new skills, new institutions, and new markets.

The economy of humanoid robots creates real demand for roles that robots genuinely cannot fill. Trades requiring tactile judgment in unpredictable environments, such as master electricians, structural engineers, and experienced surgeons, aren’t going anywhere quickly. Secondly, AI and robotics are capital-intensive industries themselves, generating sustained demand for maintenance technicians, fleet managers, training data specialists, and deployment engineers. These aren’t science-fiction roles, but the downstream jobs for the infrastructure being built right now.

Lastly, there’s one lever that doesn’t get discussed enough: ownership. The K-shaped economy is, at its core, a problem of capital ownership. The households that benefit from automation are the ones that own the companies deploying it. Expanding the share of Americans with meaningful exposure to productive capital, whether through 401(k) reforms, Employee Stock Ownership Plans, or accessible investment platforms, does more for long-term inequality than any transfer payment. If a displaced warehouse worker owns shares in the company whose humanoid robots replaced her, the economics look very different than if she doesn’t.

What This Means for Investors Right Now

From a portfolio standpoint, the humanoid robots economy creates some of the most asymmetric opportunities I’ve seen in my career. However, the risk distribution is equally asymmetric, and most retail investors are positioned to capture the downside more than the upside.

The companies building the enabling infrastructure, robotics manufacturers, neural network chip designers, industrial automation software, and energy infrastructure to power the compute are the obvious beneficiaries. But valuations in that space already reflect extraordinary expectations. Morgan Stanley’s Global Investment Committee assigns roughly a 50/50 probability to AI-related capital expenditures meeting investor expectations, noting that implementation timelines frequently slip and productivity gains tend to concentrate in a handful of large firms. That’s not a reason to avoid the sector. It is a reason to size positions carefully and not chase narratives at elevated multiples.

The overlooked angle is the deflationary pressure on companies that rely heavily on service labor. Hospitality, food service, residential services, and logistics firms currently trade at labor cost structures that will look dramatically different in five to seven years. For some, that’s a margin expansion story. For others, it’s a demand destruction story. A significant portion of their customer base works in exactly the jobs being displaced. The companies that survive the transition are the ones that both reduce labor costs and retain the purchasing power of their customer base. That’s a genuinely difficult needle to thread.

The investors who benefit most from the humanoid robots economy will be those who own the productive assets. Investing in equities, real estate, and capital-allocating businesses will far outpace depending solely on earned income. That pattern is not new. It’s the same dynamic that has driven the K-shaped divergence for the past 50 years. The robotics revolution amplifies it; it doesn’t invent it. Which means the single most important investment decision most Americans can make today has nothing to do with picking the right robotics stock. It’s making sure they own enough capital to participate in the upside that’s coming, whatever form it ultimately takes.

The age of abundance is coming. I genuinely believe that. But abundance distributed through ownership looks completely different from abundance distributed through government transfers. The first compounds. The second erodes. History has run this experiment repeatedly, and the result is not ambiguous. The question isn’t whether humanoid robots will transform the economy. They already are. The question is whether you’re positioned on the right side of the ledger when they do.

Tyler Durden Fri, 05/01/2026 - 19:45

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