3D Mapping The Largest Population Density Centers
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3D Mapping The Largest Population Density Centers

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Mapping 3d global population density spikes
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A 3D Look at the Largest Population Density Centers

It can be difficult to comprehend the true sizes of megacities, or the global spread of nearly 7.8 billion people, but this series of population density maps makes the picture abundantly clear.

Created using the EU’s population density data and mapping tool Aerialod by Alasdair Rae, the 3D-rendered maps highlight demographic trends and geographic constraints.

Though they appear topographical and even resemble urban areas, the maps visualize population density in squares. The height of each bar represents the number of people living in that specific square, with the global map displaying 2km x 2km squares and subsequent maps displaying 1km x 1km squares.

Each region and country tells its own demographic story, but the largest population clusters are especially illuminating.

China vs U.S. — Clusters vs Sprawl

population density spikes around China

Click here to view the high resolution version.

Zooming into the most populated country in the world, China and its surrounding neighbors demonstrate massive clusters of urbanization.

Most people are familiar with the large density centers around Hong Kong, Guangzhou, and Shanghai, but the concentration in central China is surprising. The cities of Chengdu and Chonqing, in the Sichuan Basin, are part of a massive population center.

Interestingly, more than 93% of China’s population lives in the Eastern half of the country. It’s a similar story in neighboring South Korea and Taiwan, where the population is clustered along the west coasts.

population density spikes in the united states

Click here to view the high resolution version.

The U.S. also has large population clusters along the coasts, but far more sprawl compared to its Asian counterparts. Though the Boston-Washington corridor is home to over 50 million residents, major centers spread out the population across the South and the Midwest.

Clearly visible are clusters in Florida (and not exclusively focused around Miami like some might believe), Illinois, Georgia, and Texas. The population is sparse in the West as expected, but California’s Los Angeles and Bay Area metros make up for the discrepancy and are just behind New York City’s density spikes in height.

India & Southeast Asia — Massive Density in Tight Areas

population density spikes around India

Click here to view the high resolution version.

At 1.38 billion people, India’s population is just behind China’s in terms of size. However, this sizable population fits into an area just one-third of China’s total land area, with the above map demonstrating what the same amount of people looks like in a smaller region.

On one hand, you still have clear clusters, such as in Mumbai, New Delhi, Kolkata, and Bangladesh’s Dhaka. On the other, there is a finite amount of room for a massive amount of people, so those density “spikes” are more like density “peaks” with the entire country covered in high density bars.

However, we can still see geographic trends. India’s population is more densely focused in the North before fading into the Himalayas. Bangladesh is equally if not more densely populated, with the exception of the protected Sundarbans mangrove forest along the coast. And Pakistan’s population seen in the distance is clustered along the Indus River.

population density spikes in Southeast Asia

Click here to view the high resolution version.

Geographic constraints have always been the biggest deciding factor when it comes to population density, and nowhere is this more apparent than Southeast Asia.

Take Indonesia, the fourth largest country by population. Despite spanning across many islands, more than half of the country’s 269 million inhabitants are clustered on the single island of Java. The metros of Jakarta and Surabaya have experienced massive growth, but spreading that growth across oceans to entirely new islands (covered by rainforests) is a tall order.

When the distance is smaller, that cross-water growth is more likely to occur. Nearby in the Philippines, more than 100 million people have densely populated a series of islands no bigger than the state of Arizona.

Indeed, despite being one of the most populated areas in the world, each country in Southeast Asia has had its own growing problems. Some are limited by space (Singapore, Philippines), while others are limited by forests (Thailand, Vietnam).

A World of Different Density Pictures

Though the above maps cover the five most populated countries on Earth, accounting for nearly half of the world’s population, they only show a small part of the global picture.

As the full global density map at the top of the page highlights, the population patterns can accurately illustrate some geographic patterns and constraints, while others need further exploration. For example, the map clearly gives an outline of Africa and the sparse area that makes up the Sahara Desert. At the same time, landmasses like Australia and New Zealand are almost invisible save for a few clusters along the coast.

To get a closer and more intricate picture of each country’s density map, head to Alasdair Rae’s long thread of rendered maps and start scrolling up to find yours!

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Misc

Visualizing Two Decades of Reported Hate Crimes in the U.S.

Hate crimes across the U.S. have been on the rise since 2014. Here’s a look at the most common types of offenses over the years.

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Two Decades of Hate Crimes in the U.S.

Visualizing Two Decades of Reported Hate Crimes in the U.S.

Across the U.S., thousands of hate crimes are committed each year, with many different motivating biases.

In 2020 alone, more than 10,000 unique hate crime incidents were reported to the Federal Bureau of Investigation (FBI)—and it’s likely that thousands more were committed that didn’t get reported to law enforcement.

What are the most commonly reported motivating biases, and how have hate crime rates evolved over the years? This graphic uses data from the FBI to visualize two decades of reported hate crime incidents across America.

What is Considered a Hate Crime?

Before diving in, it’s important to determine what constitutes a hate crime.

According to the U.S. Department of Justice, a hate crime is a crime that’s “committed on the basis of the victim’s perceived or actual race, color, religion, national origin, sexual orientation, gender, gender identity, or disability.”

These types of crimes are a threat to society, as they have a broader impact on communities than other types of crimes do. This is because hate crimes can foster fear and intimidate large groups of people or marginalized communities, making them feel unwelcome, unsafe, or othered.

Hate Crimes on the Rise

Hate crimes have been rising across the U.S. in nearly every year since 2014. By 2020, reported crimes across America reached record-level highs not seen in over two decades.

YearNumber of Reported Incidents% Change (y-o-y)
2001973018.4%
20027485-23.1%
200375450.8%
200476851.9%
20057411-3.6%
200677154.1%
20077625-1.2%
200880395.4%
20096613-17.7%
201066330.3%
20116299-5.0%
201265944.7%
20136044-8.3%
20145599-7.4%
201558714.9%
201662766.9%
2017732116.7%
20187170-2.1%
2019789210.1%
20201029930.5%

And sadly, these figures are likely a vast undercount. Law enforcement submit this data to the FBI of their own volition, and in 2020, thousands of agencies did not submit their crime statistics.

Race-Related Hate Crimes are Most Common

Historically, the most reported hate crimes in the U.S. are related to race. In 2020, about 66% of incidents were motivated by discrimination against the victim’s race or ethnicity.

Type of BiasTotal Number of Crimes (2020)% of Total
Race/Ethnicity679366.0%
Religion162615.8%
Sexual Orientation131112.7%
Other5695.5%
Total10299--

While race is the most commonly reported hate crime, incidents related to gender and gender identity are on the rise—in 2020, there was a 9% increase in gender-related incidents, and a 34% increase in gender identity-related incidents, compared to 2019 figures.

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Science

Visualizing the Relationship Between Cancer and Lifespan

New research links mutation rates and lifespan. We visualize the data supporting this new framework for understanding cancer.

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Cancer and lifespan

A Newfound Link Between Cancer and Aging?

A new study in 2022 reveals a thought-provoking relationship between how long animals live and how quickly their genetic codes mutate.

Cancer is a product of time and mutations, and so researchers investigated its onset and impact within 16 unique mammals. A new perspective on DNA mutation broadens our understanding of aging and cancer development—and how we might be able to control it.

Mutations, Aging, and Cancer: A Primer

Cancer is the uncontrolled growth of cells. It is not a pathogen that infects the body, but a normal body process gone wrong.

Cells divide and multiply in our bodies all the time. Sometimes, during DNA replication, tiny mistakes (called mutations) appear randomly within the genetic code. Our bodies have mechanisms to correct these errors, and for much of our youth we remain strong and healthy as a result of these corrective measures.

However, these protections weaken as we age. Developing cancer becomes more likely as mutations slip past our defenses and continue to multiply. The longer we live, the more mutations we carry, and the likelihood of them manifesting into cancer increases.

A Biological Conundrum

Since mutations can occur randomly, biologists expect larger lifeforms (those with more cells) to have greater chances of developing cancer than smaller lifeforms.

Strangely, no association exists.

It is one of biology’s biggest mysteries as to why massive creatures like whales or elephants rarely seem to experience cancer. This is called Peto’s Paradox. Even stranger: some smaller creatures, like the naked mole rat, are completely resistant to cancer.

This phenomenon motivates researchers to look into the genetics of naked mole rats and whales. And while we’ve discovered that special genetic bonuses (like extra tumor-suppressing genes) benefit these creatures, a pattern for cancer rates across all other species is still poorly understood.

Cancer May Be Closely Associated with Lifespan

Researchers at the Wellcome Sanger Institute report the first study to look at how mutation rates compare with animal lifespans.

Mutation rates are simply the speed at which species beget mutations. Mammals with shorter lifespans have average mutation rates that are very fast. A mouse undergoes nearly 800 mutations in each of its four short years on Earth. Mammals with longer lifespans have average mutation rates that are much slower. In humans (average lifespan of roughly 84 years), it comes to fewer than 50 mutations per year.

The study also compares the number of mutations at time of death with other traits, like body mass and lifespan. For example, a giraffe has roughly 40,000 times more cells than a mouse. Or a human lives 90 times longer than a mouse. What surprised researchers was that the number of mutations at time of death differed only by a factor of three.

Such small differentiation suggests there may be a total number of mutations a species can collect before it dies. Since the mammals reached this number at different speeds, finding ways to control the rate of mutations may help stall cancer development, set back aging, and prolong life.

The Future of Cancer Research

The findings in this study ignite new questions for understanding cancer.

Confirming that mutation rate and lifespan are strongly correlated needs comparison to lifeforms beyond mammals, like fishes, birds, and even plants.

It will also be necessary to understand what factors control mutation rates. The answer to this likely lies within the complexities of DNA. Geneticists and oncologists are continuing to investigate genetic curiosities like tumor-suppressing genes and how they might impact mutation rates.

Aging is likely to be a confluence of many issues, like epigenetic changes or telomere shortening, but if mutations are involved then there may be hopes of slowing genetic damage—or even reversing it.

While just a first step, linking mutation rates to lifespan is a reframing of our understanding of cancer development, and it may open doors to new strategies and therapies for treating cancer or taming the number of health-related concerns that come with aging.

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