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This week's hottest real estate listings, ranked by climate risk.

Glued to real estate posts on The New York Times, The Wall Street Journal, Dwell, Spaces, The Modern House, or Architectural Digest and wondering how those gorgeous homes will hold up in the next decades? I have you covered.
Heatmap has partnered with my new climate risk platform, Habitable. Every Friday, we add a climate risk score to the real estate listings featured in the news this week and ask: Could you live here as the climate changes?
Using a model developed by a team of Berkeley data scientists at Climate Check, Habitable scores each property for heat, flood, drought, and fire risk on a scale of 1-10. One represents the lowest risk and 10 is the highest. Our rating for each hazard is based on climate change projections through 2050. (You can check your own home’s climate risk here.)
For today’s edition, I apply the Habitable Index to the many, many mansions that came on the market this week. Will climate denier Tucker Carlson’s house on the hurricane-prone Gulf Coast flood soon? Will Ron Perelman ever sell his climate-safe townhouse? Read on and find out out which are the most Habitable mansions in the news this week, from best to worst.

As billionaire Ron Perelman downsizes his assets, his upper Eastside townhouse is for sale again after being on and off the market since 2021. The massive 16,000-square-feet home is fantastically safe from future climate impacts —- no flood, drought, or fire risk. Even the 7/10 heat risk will be easily managed — the brick building shouldwill keep the temperatures cool inside. For some, keeping cool and dry might be worth a cool $60,000,000?
Featured in the NY Post and listed for $60 million.

This Long Island mansion was the home base for actor Leonardo di Caprio’s security fraud and drug taking antics in The Wolf of Wall Street film.. The property, however, is surprisingly secure — with minimal risk of flood, fire, or drought. Even the heat risk is minimal. A real hide-away and only 50 minutes to Manhattan.
Featured in the Daily Mail and listed for just under $10 million.

Jerome Kohlberg, the late founder of the investment firm KKR, lived in this mansion on 200 acres for more than 30 years. His wife Nancy ran their proper working farm — she raised Scottish Highland cattle, geese, special Black pigs, and even fish (via a professional aquaponics system).
In New York’s Westchester County, the 100-year-old house with an indoor pool and tennis court and a private lake with an old race track will have plenty of water (no drought) and has minimal risk for heat and fire. The flood risk — 6/10 — is a bit high, but with over 200 acres to seep into, maybe a risk worth taking. Featured in WSJ and listed for $11.5 million.

The Knoll House is a polymath. The 12,30-square-foot home features two buildings: one old classic home connected by an underground tunnel to another super modern 20,000-foot entertainment center. The entertainment “wing” includes a 46-seat movie theater and a spa. The property also has a putting green, a pub, and Tiki bar along with a little drought, a little fire, a little heat, and a tiny bit of flood. All this … at a price!
Featured in the Daily Mail and listed for $38.5 million.

Think Truman Show meets The Matrix. An all white master–planned community in the Florida Panhandle has attracted Americans who desire a homogenous, anesthetized environment. And other than scorching heat, the outside world (i.e.: climate change) is unlikely to threaten this 5,000 square foot property with soaring (white) open-plan modern interiors. It’s at little risk for drought or fire and far enough off the beach to avoid sea-level rise. The one fly in this perfectly manicured landscape, however, is that the Florida Panhandle is the most-prone to hurricanes — more than any U.S. state. Hang on to those coordinated blue and white parasols …
Featured in WSJ and listed for $12.5 million.

The waterfront Florida Panhandle property (see above listing for Hurricane forecast for the Panhandle!) once owned by the Rev. Al Green just sold for $13.25 million.
Can the new owners live here? The 6,600-square-foot four-story mansion with two pools has extreme flood and heat risk.ith no sea wall protection, it will also take the brunt of the next hurricane. Enjoy it while you can.
Featured in WSJ and sold for over $13 million.

Ousted Fox News host Tucker Carlson just bought the house next door to his home on Gasparilla Island in Florida — also on the Hurricane-prone Gulf Coast — for $5.5m. There is no denying the extreme flood and heat risk of the property. This barrier island is following the trajectory of Carlson himself: sinking fast.
Featured in The Dirt and sold for $5.5 million.

Location. Location. Location. Waterway Drive in Sneads Ferry North Carolina (meaning lower ferry) gives away the ending of this story. It’s a stunning, immaculate home (for now) on four private acres seemingly dropped in the middle of the Atlantic Ocean. Island living but with a private bridge. We can all call this one: 10/10 for flood and 8/10 for heat as the house sizzles in the North Carolina Sun. Good thing there is a kayak launch. Whoever buys this will need to stock up on inflatables.
Featured on Zillow Gone Wild and listed for $2.4 million.
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The data center boom is everywhere you look in U.S. economic and emissions data.
This is an edition of Heatmap Daily, an evening review of the day’s news written by our executive editor. Sign up for it here.
It isn’t exactly a new thought, but I’ve been struck recently by how many trends in America’s economic and environmental data are fundamentally about the data center boom and the return of electricity demand:
First, the Energy Information Administration reported this week that U.S. emissions grew by more than 2% last year, driven by surging electricity demand and an increase in coal-fired generation. What caused that higher power demand? New factories and data centers — as well as record summertime cooling demand.
Second, many of the new factories driving that higher power demand are themselves producing goods that are … let’s say … data center-adjacent. There are the enormous new semiconductor fabs, of course. But Ford and General Motors have also set up new production lines (or repurposed old ones) to manufacture grid-scale batteries to meet power demand.
Third, take a look at the recent U.S. spending on private non-residential construction — in other words, everything American companies are building that is not houses, condos, or apartments.
The construction industry’s spent almost $60 billion on data centers over the past year, which is more than it spent on all other office buildings combined (and more than it spent building warehouses, too). Just a handful of categories — data centers, power plants, electricity infrastructure, and certain kinds of electronics manufacturing — now make up a third of all U.S. private non-residential construction investment. They’ve never made up such a large share of construction spending since data collection began in 2014.
As The New York Times recently noted, the American economy is unusually dependent on the American stock market right now — and the stock market is unusually dependent on artificial intelligence. This week, investors started to balk at the enormous spending hyperscalers are planning to keep building out the AI boom; Alphabet’s shares dropped 8% this week after it boosted its planned 2026 capital expenditure and signaled 2027 will be even bigger. If the data center boom started to slow down in earnest, then more than just that budget will change.
Speaking of which, my colleague Emily Pontecorvo wrote earlier this week about how many businesses are struggling to even estimate their carbon emissions from artificial intelligence. The carbon accounting startup Watershed recently unveiled a new formula to help companies get a sense of their AI-related emissions.
But even that formula is still limited by the amount of data hyperscalers publish — and they don’t publish that much. Google, for instance, is the only AI company that has (laudably) provided estimates of its emissions on a per-prompt basis. Yet no company has published its per-token emissions, or how emissions sync up with particular models or regions.
So Emily asked Google: Why aren’t you — or any other model provider — disclosing this kind of data yet?
The tech company didn’t get back to us until after we’d published Emily’s story. But its response was interesting enough that I wanted to quote some of it here.
The problem is “industry consensus,” Cooper Elsworth, a Google spokesperson, told us. “There is currently very little consensus on how to comprehensively and fairly measure the serving environmental impact of generative AI (such as text generation),” he wrote. “Without standardized, ‘apples-to-apples’ frameworks, it is difficult to compare different providers accurately.”
That’s partly because energy use — and emissions data — can vary from site to site and depend on “custom-built hardware, software compilers, and advanced inference techniques.” And he claimed Google doesn’t always have the measurement hardware in place to provide such specific estimates: “Providing precise, repeatable data requires highly advanced measurement infrastructure,” he said. “For example, software-based energy monitoring tools often suffer from sampling biases. For our study, we had to step away from top-down averages and directly measure actual energy at the physical power supply unit (PSU) level across our deployed fleet. Not all providers have the telemetry or data sets required to benchmark their operations at this level of granularity.”
Read Emily’s story to understand the other reasons why estimating — or even “guesstimating” — AI-related carbon emissions is so challenging.
A conversation with Emma Uridge of the Kansas Health Institute.
This week’s conversation is with Emma Uridge, analyst with the Kansas Health Institute. Uridge spent copious hours analyzing state and local laws on data center development to best understand how policymakers are responding to the potential environmental public health impacts of large AI infrastructure, including power and water. The report, which came out this week, also goes in depth into those health impacts. I reached out to her to discuss what she sees as must-watch territory for our readers on this emerging policy arena.
Our conversation was lightly edited for clarity.
What is actually being done on policy when it comes to data centers — beyond moratoria of course?
So first I’d like to just talk about the point of moratoria. It’s helpful to talk about how these policies emerge in the first place. One area where moratoria are helpful is when a data center is proposed but the county has no approach for how they’d like to potentially regulate them. That’s temporary, most of the time. It lets local governments conduct research on the various impacts and also negotiate community benefits, ones that can mitigate any potential negative impacts — like Lancaster Pennsylvania, which instituted a community benefit agreement that maximized the potential benefits of development while mitigating what large data centers can do. That agreement looked at capping municipal water use at 20,000 gallons per day and requiring 100% clean energy. It had financial penalties for non-compliance. The company also committed $20 million to their local economic development and clean energy fund. There are ways to negotiate with developers.
We also see amendments to existing zoning. Data center proposals are increasingly popping up in rural areas, many of which are unzoned, so there’s no way a county can negotiate unless there’s a moratorium in place.
Other policy solutions include different performance standards or requiring on-site renewable energy, like what Jefferson County, Missouri, looked at. Also setback requirements, mandatory noise buffers, ending by-right zoning.
Where are local governments getting ideas for regulating data centers?
A lot of the technical information comes from developers. That can in cases be seen as a biased source of information. I wouldn’t say there’s a dedicated group providing assistance to local governments when a project is proposed — which is a similar story to wind industry development, where we have only a handful of consultants who provide technical advice. It can be really helpful to get a multi-disciplinary approach to hearing information. It can be helpful to have the utility commission, public health folks, those in academia, as well as the developer.
As of right now, especially in rural areas, local governments have a hard task of balancing pushback while getting the most accurate, evidence-based, neutral information to make decisions. That balance can be contentious.
What is the federal government doing on data center policy? How is the Trump administration approaching it?
A few things there. In the early days, the drive was for AI expansion and to be competitive with foreign adversaries. Now due to the amount of public pushback in red and blue localities and a more cautious approach.
I’m not seeing a lot of actual policy movement at this time.
I know the EPA is looking at the chemicals used in cooling data centers because when that water is cycled through the system, some of it is discharged into the water system, so they’re looking at the Toxic Substances and Control Act for monitoring that.
How much of an impact does this minimal federal role have on industry behavior?
Y’know, this isn’t specific to data centers. This is true for all kinds of large-scale development: there’s a need to require some sort of federal monitoring and regulation.
That’s where I see an emerging role for public health. At the federal level, there could be policy movement towards requiring some sort of environmental monitoring at data centers to make sure they’re operating responsibility. Looking at specific water use relative to water availability and what happens when there’s a time of severe, persistent drought. With air quality too — we’ve seen areas where the grid isn’t as reliable so their diesel generators are kicking on more and affecting air quality for residents.
We’re just not seeing all of that right now. We need corporate disclosure.
What do you see as the most important public health impacts from data center development?
It varies by localities. The most discussed obviously is water usage. One thing I’d note about my conversations with folks enthusiastic around emerging tech is, there are still questions that need to be asked about the capacity of localities to support a data center. Like a small town in Kansas may only be using 40% of their water for their utility needs. If a data center came online, how much of that water goes to the data center?
One area underexplored within the public health discipline is energy poverty and energy security. The ability of a household to meet the needs of everything energy provides in our lives. It’s known we have an aging electric grid but we’re not talking enough about large-scale blackouts when the grid is not sufficient to support some of these new data centers.
Plus more of the week’s big development fights.
1. Laramie County, Wyoming — Meta is fighting the fine it received in the Cheyenne data center water pollution controversy, and the conflict between the tech giant and the city’s small board of public utilities is continuing to spill out into the public.
2. Niagara County, New York — This county just rejected a solar project’s highway work permits in a show of retaliation against the state’s Office of Renewable Energy Siting.
3. Barron County, Wisconsin — The anti-solar protest is the new campaign stop in deep red Wisconsin.
4. Chesapeake, Virginia — A large battery storage project on the Virginia coastline is on the rocks amidst rampant local opposition.
5. Lewis County, West Virginia — West Virginia is now a key battleground in the fight over transmission, as a line spanning all of West Virginia and Maryland — and cutting through Data Center Alley in Virginia — causes compounding consternation.