Mapped: The 22 Cities With the Most $1 Million Homes in the U.S.
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Mapped: The 22 Cities With the Most $1 Million Homes in the U.S.

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Mapped: The 22 Cities With the Most $1 Million Homes in the U.S.

Map: The 22 Cities With the Most $1 Million Homes

Throughout most of America, owning a $1 million home gives you definite bragging rights – it means you may have six bedrooms, 5,000 square feet, an infinity pool, and at least a few acres of property.

But along the coasts – and particularly in California – the two comma club has lost most of its novelty. That’s because in some places, like San Jose, CA, the majority (53.8%) of homes are already soaring past the $1 million mark, despite most of them looking nothing more than ordinary.

$1 Million Homes by City

Today’s chart uses data from a study by LendingTree, which ranks the largest 50 U.S. cities by the percentage of million dollar homes in each metro area. The data from the study was pulled out of a database of 155 million property prices throughout the country.

Here are the 22 U.S. cities that have at least 1% of their housing stock exceeding the $1 million value mark:

RankCity% of $1mm homesMedian home price
#1San Jose, CA53.81%$1,069,000
#2San Francisco, CA40.03%$891,000
#3Los Angeles, CA17.23%$622,000
#4New York, NY11.81%$454,000
#5San Diego, CA10.55%$563,000
#6Seattle, WA9.90%$461,000
#7Boston, MA7.95%$459,000
#8Washington, DC5.27%$395,000
#9Miami, FL3.79%$267,000
#10Denver, CO2.65%$391,000
#11Austin, TX2.16%$282,000
#12Portland, OR1.95%$378,000
#13Sacramento, CA1.72%$378,000
#15Nashville, TN1.52%$235,000
#14Houston, TX1.52%$192,000
#16Phoenix, AZ1.51%$242,000
#17Providence, RI1.32%$266,000
#18Dallas, TX1.31%$213,000
#19Chicago, IL1.30%$223,000
#20Riverside, CA1.12%$332,000
#21Baltimore, MD1.07%$270,000
#22Charlotte, NC1.02%$187,000

The data looks pretty telling, with four of the top five cities being located in California. In each of those cities, more than 10% of all homes have surpassed the $1 million mark.

In the Bay Area specifically, prices are amplified even further: San Francisco (40.0%) and San Jose (53.8%) have by far more $1 million homes than other major cities in the country. It’s also worth noting that in San Jose, the median price of all homes is a whopping $1,069,000.

You can just imagine what houses might cost in some of the Silicon Valley towns like Mountain View or Palo Alto, or just over the Golden Gate Bridge in Marin County.

The Bottom of the List

While the above chart shows the 22 U.S. cities with the most $1 million homes, LendingTree also listed the major cities in the country with the fewest.

Buffalo, located in upstate New York, takes this title, with only 0.10% of homes passing the mark and an overall median home price of just $141,000. So, to buy the average home in San Jose, you’d need to sell off about eight average houses in Buffalo.

The other cities with the smallest concentrations of million dollar homes are also located in the Great Lakes and Midwest regions: Pittsburgh (0.17%), Hartford (0.18%), Cleveland (0.19%), and Indianapolis (0.27%).

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The World’s Biggest Real Estate Bubbles in 2021

According to UBS, there are nine real estate markets that are in bubble territory with prices rising to unsustainable levels.

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Ranked: The World’s Biggest Real Estate Bubbles in 2021

Identifying real estate bubbles is a tricky business. After all, even though many of us “know a bubble when we see it”, we don’t have tangible proof of a bubble until it actually bursts.

And by then, it’s too late.

The map above, based on data from the Real Estate Bubble Index by UBS, serves as an early warning system, evaluating 25 global cities and scoring them based on their bubble risk.

Reading the Signs

Bubbles are hard to distinguish in real-time as investors must judge whether a market’s pricing accurately reflects what will happen in the future. Even so, there are some signs to watch out for.

As one example, a decoupling of prices from local incomes and rents is a common red flag. As well, imbalances in the real economy, such as excessive construction activity and lending can signal a bubble in the making.

With this in mind, which global markets are exhibiting the most bubble risk?

The Geography of Real Estate Bubbles

Europe is home to a number of cities that have extreme bubble risk, with Frankfurt topping the list this year. Germany’s financial hub has seen real home prices rise by 10% per year on average since 2016—the highest rate of all cities evaluated.

housing bubble index 2021

Two Canadian cities also find themselves in bubble territory: Toronto and Vancouver. In the former, nearly 30% of purchases in 2021 went to buyers with multiple properties, showing that real estate investment is alive and well. Despite efforts to cool down these hot urban markets, Canadian markets have rebounded and continued their march upward. In fact, over the past three decades, residential home prices in Canada grew at the fastest rates in the G7.

Despite civil unrest and unease over new policies, Hong Kong still has the second highest score in this index. Meanwhile, Dubai is listed as “undervalued” and is the only city in the index with a negative score. Residential prices have trended down for the past six years and are now down nearly 40% from 2014 levels.

Note: The Real Estate Bubble Index does not currently include cities in Mainland China.

Trending Ever Upward

Overheated markets are nothing new, though the COVID-19 pandemic has changed the dynamic of real estate markets.

For years, house price appreciation in city centers was all but guaranteed as construction boomed and people were eager to live an urban lifestyle. Remote work options and office downsizing is changing the value equation for many, and as a result, housing prices in non-urban areas increased faster than in cities for the first time since the 1990s.

Even so, these changing priorities haven’t deflated the real estate market in the world’s global cities. Below are growth rates for 2021 so far, and how that compares to the last five years.

housing bubble price increases 2021

Overall, prices have been trending upward almost everywhere. All but four of the cities above—Milan, Paris, New York, and San Francisco—have had positive growth year-on-year.

Even as real estate bubbles continue to grow, there is an element of uncertainty. Debt-to-income ratios continue to rise, and lending standards, which were relaxed during the pandemic, are tightening once again. Add in the societal shifts occurring right now, and predicting the future of these markets becomes more difficult.

In the short term, we may see what UBS calls “the era of urban outperformance” come to an end.

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Mapped: Distribution of Global GDP by Region

Where does the world’s economic activity take place? This cartogram shows the $94 trillion global economy divided into 1,000 hexagons.

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Map of Global Wealth Distribution

Mapped: The Distribution of Global GDP by Region

Gross domestic product (GDP) measures the value of goods and services that an economy produces in a given year, but in a global context, it is typically shown using country-level data.

As a result, we don’t often get to see the nuances of the global economy, such as how much specific regions and metro areas contribute to global GDP.

In these cartograms, global GDP has been normalized to a base number of 1,000 in order to show a more regional breakdown of economic activity. Created by Reddit user /BerryBlue_Blueberry, the two maps show the distribution in different ways: by nominal GDP and by GDP adjusted for purchasing power parity (PPP).

Methodology

Before diving in, let us give you some context on how these maps were designed. Each hexagon on the two maps represents 0.1% of the world’s overall GDP.

The number below each region, country or metropolitan area represents the number of hexagons covered by that entity. So in the nominal GDP map, the state of New York represents 20 hexagons (i.e. 2.0% of global GDP), while Munich’s metro area is 3 hexagons (0.3%).

Countries are further broken down based on size. Countries that make up more than 0.95% of global GDP are broken down into subdivisions, while countries that are smaller than 0.1% of GDP are grouped together. Metro areas that account for over 0.25% of global GDP are featured.

Finally, it should be noted that to account for some outdated subdivision participation data, the map creator calculated 2021 estimates for this using the formula: national GDP (2021) x % of subdivision participation (2017-2020).

Nominal vs. PPP

The above map is using nominal data, while the below map accounts for differences in purchasing power (PPP).

Adjusting for PPP takes into account the relative value of currencies and purchasing power in countries around the world. For example, $100 (or its exchange equivalent in Indian rupees) is generally going to be able to buy more in India than it is in the United States.

This is because goods and services are cheaper in India, meaning you can actually purchase more there for the same amount of money.

Anomalies in Global GDP Distribution

Breaking down global GDP distribution into cartograms highlights some interesting anomalies worth considering:

  1. North America, Europe, and East Asia, with a combined GDP of nearly $75 trillion, make up 80% of the world’s GDP in nominal terms.
  2. The U.S. State of California accounts for 3.7% of the world’s GDP by itself, which ranks higher than the United Kingdom’s total contribution of 3.3%.
  3. Canada as a country accounts for 2% of the world’s GDP, which is comparable to the GDP contribution of the Greater Tokyo Area at 2.2%.
  4. With a GDP of $3 trillion, India’s contribution overshadows the GDP of the whole African continent ($2.6 trillion).
  5. This visualization highlights the economic might of cities better than a conventional map. One standout example of this is in Ontario, Canada. The Greater Toronto Area completely eclipses the economy of the rest of the province.

Inequality of GDP Distribution

The fact that certain countries generate most of the world’s economic output is reflected in the above cartograms, which resize countries or regions accordingly.

Compared to wealthier nations, emerging economies still account for just a tiny sliver of the pie.

India, for example, accounts for 3.2% of global GDP in nominal terms, even though it contains 17.8% of the world’s population.

That’s why on the nominal map, India is about the same size as France, the United Kingdom, or Japan’s two largest metro areas (Tokyo and Osaka-Kobe)—but of course, these wealthier places have a far higher GDP per capita.

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