Interactive: Least Affordable Housing in the U.S.
It doesn’t always make sense to measure affordability by a price in absolute dollars.
With real estate in particular, every county is different and value may be relative depending on the area in question. A ranch that seems expensive to a farmer in Nebraska may be a drop in the bucket for a lawyer from Manhattan.
Today’s interactive chart from Overflow Data shows median home values plotted against median household income, which helps give you a feel for where the least affordable housing in the U.S. is located. It’s also worth noting that in this visualization, that data comes from the ACS 2011-2015 5 year estimates from the U.S. Census Bureau.
Expensive by any Measure
The least affordable housing in the U.S. falls into two categories: places that you would expect (San Francisco, New York City) and counties that may be off your radar, such as a few in Massachusetts, Washington, or Wyoming.
The Bay Area, not surprisingly, has some of the least affordable housing in the country – both in absolute terms, and in terms relative to income. There is no shortage of anecdotes for the madness occurring in San Francisco and the surrounding area, and the data reflects that.
In San Francisco proper, the median home value is $800,000 with a median income of $81,000, giving a price-to-income ratio of 9.8. Meanwhile, in Silicon Valley, housing is nearly as pricey, but many people are able to make up for it with higher incomes: San Mateo County has a ratio of 8.3, and Santa Clara County has a ratio of 7.3.
New York City, with its five boroughs, is also interesting to look at. Here they are ranked by price-to-income:
- Kings County (Brooklyn): 11.8 (House value: $570,000, Income: $48,000)
- New York County (Manhattan): 11.7 (House value: $849,000, Income: $73,000)
- Bronx County (The Bronx): 10.6 (House value: $363,000, Income: $34,000)
- Queens County (Queens): 7.8 (House value: $450,000, Income: $58,000)
- Richmond County (Staten Island): 6.0 (House value: $440,000, Income: $73,000)
Brooklyn is the most expensive borough based on price-to-income, just nudging out Manhattan. The Bronx also has some of the least affordable housing in the country, mainly due to lower income levels than the rest of the city.
As mentioned before, states like Wyoming, Massachusetts, Colorado, and Washington also have counties that are quite expensive in terms of price-to-income.
- Teton County, Wyoming: 9.1 (House value: $689,000, Income: $75,000)
- Pitkin County, Colorado: 8.7 (House value: $621,000, Income: $71,000)
- San Miguel County, Colorado: 9.1 (House value: $513,000, Income: $56,000)
- Nantucket County, Massachusetts: 10.7 (House value: $903,000, Income: $84,000)
- Dukes County, Massachusetts: 10.3 (House value: $661,000, Income: $64,000)
- San Juan County, Washington: 8.3 (House value: $466,000, Income: $56,000)
Many of these, such as Teton County or Pitkin County, are located in the mountains.
Others, like the San Juans or Nantucket are made up of beautiful islands that are relatively close to major cities – in this case, Seattle and Providence/Boston respectively.
Animation: The Biggest Tech Companies by Market Cap Over 23 Years
In business, the only constant is change – and for tech companies, this is even more true. Here are the biggest tech companies over 23 years.
The business world is certainly not a static one.
In the past, we’ve shown that the market leaders in the most stable industries are unlikely to keep their leadership positions over long periods of time.
But limit your window to just the dynamic world of tech and you’ll see an even more extreme example of this inherent volatility. Sometimes companies are able to separate from the rest of the pack for days or months, but it’s never an advantage that lasts for long.
Biggest Tech Companies by Market Cap
Today’s animation was originally posted to Reddit by /r/TheNerdistRedditor and captures the crazy world of tech valuations for public companies.
Watch the intense 1 minute animation below:
Note: the data here only lists companies traded on U.S. exchanges, and does not show every single valuation point.
Over just 23 years, the company topping the list flips eight separate times – and if you were to get more granular with the numbers (looking at daily valuations, for example), you’d see it happen far more often.
Today’s Market Cap Leaders
As we noted above, company valuations are constantly changing – and back in early September 2018, both Apple and Amazon even topped the $1 trillion milestone for a short period of time.
Using the same criteria as the above animation, which is based on U.S. listed companies, here are the top 10 tech companies based on data at time of publication:
|Rank||Company||Ticker(s)||Market Cap (March 18, 2019)|
|#4||Alphabet||GOOG, GOOGL||$824 billion|
Based on March 18, 2019 data
This is not a comprehensive list globally, as it misses companies like Tencent which are listed on other exchanges such as the Hong Kong Stock Exchange. Based on recent HKD/USD conversion rates, it’s estimated that Tencent would be roughly worth $450 billion today – good enough for 7th on the list.
Regardless, since change is the only constant in the tech world, it’s fair to say that the above list of the biggest tech companies will likely be much different in just a few months time.
The Economies Adding the Most to Global Growth in 2019
Global economics is effectively a numbers game – here are the countries and regions projected to contribute the most to global growth in 2019.
The Economies Adding the Most to Global Growth in 2019
Global economics is effectively a numbers game.
As long as the data adds up to economic expansion on a worldwide level, it’s easy to keep the status quo rolling. Companies can shift resources to the growing segments, and investors can put capital where it can go to work.
At the end of the day, growth cures everything – it’s only when it dries up that things get hairy.
Breaking Down Global Growth in 2019
Today’s chart uses data from Standard Chartered and the IMF to break down where economic growth is happening in 2019 using purchasing power parity (PPP) terms. Further, it also compares the share of the global GDP pie taken by key countries and regions over time.
Let’s start by looking at where global growth is forecasted to occur in 2019:
|Country or Region||Share of Global GDP Growth (PPP) in 2019F|
|Other Asia (Excl. China/Japan)||29%|
|Middle East & North Africa||4%|
|Latin America & Caribbean||3%|
|Rest of World||8%|
The data here mimics some of the previous estimates we’ve seen from Standard Chartered, such as this chart which projects the largest economies in 2030.
Asia as a whole will account for 63% of all global GDP growth (PPP) this year, with the lion’s share going to China. Countries like India and Indonesia will contribute to the “Other Asia” share, and Japan will only contribute 1% to the global growth total.
In terms of developed economies, the U.S. will lead the pack (11%) in contributing to global growth. Europe will add 8% between its various sub-regions, and Canada will add 1%.
Share of Global Economy Over Time
Based on the above projections, we were interested in taking a look at how each region or country’s share of global GDP (PPP) has changed over recent decades.
This time, we used IMF projections from its data mapper tool to loosely approximate the regions above, though there are some minor differences in how the data is organized.
|Country or Region||Share of GDP (PPP, 1980)||Share of GDP (PPP, 2019F)||Change|
|Developing Asia||8.9%||34.1%||+25.2 pp|
|European Union||29.9%||16.0%||-13.9 pp|
|United States||21.6%||15.0%||-6.6 pp|
|Latin America & Caribbean||12.2%||7.4%||-4.8 pp|
|Middle East & North Africa||8.6%||6.5%||-2.1 pp|
|Sub-Saharan Africa||2.4%||3.0%||+0.6 pp|
In the past 40 years or so, Developing Asia has increased its share of the global economy (in PPP terms) from 8.9% to an estimated 34.1% today. This dominant region includes China, India, and other fast-growing economies.
The European Union and the United States combined for 51.5% of global productivity in 1980, but they now account for 31% of the total economic mix. Similarly, the Latin America and MENA regions are seeing similar decreases in their share of the economic pie.
Markets2 months ago
The Jeff Bezos Empire in One Giant Chart
Maps4 months ago
Mercator Misconceptions: Clever Map Shows the True Size of Countries
Advertising1 month ago
Meet Generation Z: The Newest Member to the Workforce
Misc4 months ago
24 Cognitive Biases That Are Warping Your Perception of Reality
Technology2 months ago
The 20 Internet Giants That Rule the Web
Environment4 weeks ago
The World’s 25 Largest Lakes, Side by Side
Healthcare4 months ago
An Illustrated Subway Map of Human Anatomy
Chart of the Week2 months ago
Chart: The World’s Largest 10 Economies in 2030