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Visualizing the Growth of COVID-19 in the U.S., Organized by State Peak Date

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The exponential nature of viral spread means that pandemics are fast-moving and dynamic.

Combine this with the high interconnectedness of modern life—even when social distancing and lockdowns are applied—and pandemics can evolve quickly. In just a few weeks, previous hotspots can cool down, while new high risk areas can crop up seemingly out of nowhere.

In the United States, like many other places in the world, the virus is hitting regions differently, and this landscape is constantly changing over time.

COVID-19 Growth, by State

Today’s first visualization comes to us from Reddit user bgregory98, and it uses data from the New York Times to plot confirmed active COVID-19 cases by state.

States are organized by the date that weekly average cases peaked, from top to bottom. Data is normalized and is current until June 16th, and states are colored based on regional definitions (i.e. Northeast, Midwest, West, South) as defined by the U.S. Census Bureau.

Visualizing the Growth of COVID-19 in the U.S., Organized by State Peak Date

As you can see, when looking purely at active cases, the situation has evolved considerably from a geographical perspective.

Early on, COVID-19 cases were more concentrated in coastal population centers, especially in the Northeast. New York, New Jersey, and Massachusetts, the three hardest hit states per capita so far, saw cases peak in April.

However, a look at the bottom half of the visualization shows that generally, states in the South and West are starting to heat up with cases. Recent daily numbers confirm this, with California, Texas, Florida, Arizona, and North Carolina all gaining more than 1,000 new cases on June 17th.

Growth by State, Part Deux

The following visualization by Reddit user jawsem17 is designed using a similar concept, and is current as of June 17th.

This version uses the same data set from the New York Times. However, it also includes deaths as a metric, showing a comparison of peak deaths to peak cases for each state.

Visualizing the Growth of COVID-19 by Peak Cases and Peak Deaths

Although one would expect peak deaths to follow peak cases, this is not always the case.

Peak deaths in Nevada, for example, occurred on April 24th, but peak cases have been in the last week. This same peculiar pattern can be seen in a variety of states, from California to Oklahoma.

Mapped: The Evolution of COVID-19 in the U.S.

As the pandemic spreads and the situation has evolved, the mean center of weekly COVID-19 cases has been moving in a southwest direction.

The following map, which also comes from Reddit user bgregory98, averages the center coordinates of all counties weighted by how many new confirmed cases they have had over the past week:

Mean Cases Map

Originating in Ohio, the mean center of cases was initially heavily skewed by cases in the New York metro area. Since then, the mean center of cases has shifted and has now journeyed slightly past the mean center of U.S. population, located in Missouri.

This is partially a regression to the mean, but it is also driven by growing case counts in aforementioned states in the southern and western parts of the country.

Mapped: Peak County Totals

Finally, the progression of COVID-19 within the U.S. can be mapped in another useful way, revealing a geographical perspective to the virus’ spread.

These maps from Winston Saunders show places where current disease levels are below their previous peaks (blue), and where current COVID-19 cases are at highs (red) as of June 18:

Cases Below Previous Peaks

Cases at Peak Levels

This again shows the shift from the Northeast and Midwest parts of the country towards the West and South regions.

As always, the path of the virus’ spread will continue to change and evolve, and the picture could again look quite different in just a few weeks time.

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Countries

Charted: The World’s Aging Population from 1950 to 2100

This graphic visualizes the world’s aging population, showing data for every country and territory around the world.

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Charted: The World’s Aging Population from 1950 to 2100

As demographics continue to shift in the 21st century, the world’s aging population will continue to be a focal point for many global decision makers.

Most countries around the world have experienced population explosions, or are about to. Combine this with declining birth rates and falling mortality rates, and it’s clear that the global senior population will continue to reach new heights.

These graphics by Pablo Alvarez use data from the 2022 UN World Population Prospects to visualize this increasing aging population across countries.

The World’s Aging Population from 1950 to 2100

In 2022, there were 771 million people aged 65+ years globally, accounting for almost 10% of the world’s population.

This segment has been growing at an increasing rate, and it’s expected to hit 16% in 2050, and eventually 24% by 2100. Here’s what that’s projected to look like, for every country and territory.

Country by Population Aged +65 Years195020222100
🇦🇫 Afghanistan2.85%2.39%16.03%
🇦🇱 Albania6.04%16.66%49.08%
🇩🇿 Algeria3.49%6.39%28.83%
🇦🇸 American Samoa2.38%7.27%45.41%
🇦🇩 Andorra10.02%14.98%37.04%
🇦🇴 Angola2.93%2.6%12.07%
🇦🇮 Anguilla3.69%10.71%37.49%
🇦🇬 Antigua and Barbuda4.14%10.63%35.4%
🇦🇷 Argentina4.13%11.92%31.79%
🇦🇲 Armenia8.17%13.15%36.13%
🇦🇼 Aruba1.77%16.15%36.51%
🇦🇺 Australia8.17%16.9%31.38%
🇦🇹 Austria10.42%19.81%33.93%
🇦🇿 Azerbaijan6.89%7.11%30.5%
🇧🇸 Bahamas4.76%8.89%29.58%
🇧🇭 Bahrain2.88%3.76%21.89%
🇧🇩 Bangladesh3.9%6.04%32.56%
🇧🇧 Barbados5.24%16.28%33.19%
🇧🇾 Belarus8.24%17.18%30.45%
🇧🇪 Belgium11.03%19.73%32.83%
🇧🇿 Belize3.57%5.09%29.21%
🇧🇯 Benin7.85%3.06%11.03%
🇧🇲 Bermuda5.71%20.41%37.73%
🇧🇹 Bhutan2.53%6.25%33.35%
🇧🇴 Bolivia6.11%4.85%21.75%
🇧🇶 Bonaire Sint Eustatius and Saba14.22%13.84%28.94%
🇧🇦 Bosnia and Herzegovina3.95%18.4%36.4%
🇧🇼 Botswana4.32%3.65%17.96%
🇧🇷 Brazil2.39%9.88%33.52%
🇻🇬 British Virgin Islands8.63%9.95%32.47%
🇧🇳 Brunei4.85%6.17%30.93%
🇧🇬 Bulgaria6.66%22.38%37.13%
🇧🇫 Burkina Faso2.01%2.53%13.07%
🇧🇮 Burundi3.22%2.48%13.23%
🇰🇭 Cambodia2.67%5.81%26.43%
🇨🇲 Cameroon3.47%2.67%11.89%
🇨🇦 Canada7.7%19.03%31.55%
🇨🇻 Cape Verde3.67%5.55%32.63%
🇰🇾 Cayman Islands6.05%8.17%28.75%
🇨🇫 Central African Republic5.%2.51%11.43%
🇹🇩 Chad4.33%2.01%9.64%
🇨🇱 Chile3.3%13.03%36.61%
🇨🇳 China5.04%13.72%40.93%
🇨🇴 Colombia3.22%9.%34.49%
🇰🇲 Comoros3.8%4.28%17.81%
🇨🇬 Congo3.36%2.72%11.99%
🇨🇰 Cook Islands2.94%11.73%29.75%
🇨🇷 Costa Rica2.97%10.83%36.99%
🇨🇮 Cote d'Ivoire2.21%2.4%10.86%
🇭🇷 Croatia7.82%22.36%37.03%
🇨🇺 Cuba4.36%15.81%36.31%
🇨🇼 Curacao5.82%14.95%30.46%
🇨🇾 Cyprus5.95%14.83%33.36%
🇨🇿 Czechia8.29%20.64%26.94%
🇨🇩 Democratic Republic of Congo3.77%2.92%10.62%
🇩🇰 Denmark9.04%20.49%30.45%
🇩🇯 Djibouti1.99%4.54%19.68%
🇩🇲 Dominica7.67%9.53%34.28%
🇩🇴 Dominican Republic2.72%7.4%30.47%
🇪🇨 Ecuador5.2%7.83%31.97%
🇪🇬 Egypt2.95%4.83%21.77%
🇸🇻 El Salvador3.93%8.22%36.02%
🇬🇶 Equatorial Guinea5.53%3.12%15.13%
🇪🇷 Eritrea3.2%4.01%19.86%
🇪🇪 Estonia10.56%20.58%34.15%
🇸🇿 Eswatini2.68%4.%16.26%
🇪🇹 Ethiopia3.01%3.14%18.6%
🇫🇴 Faeroe Islands7.59%17.92%26.91%
🇫🇰 Falkland Islands8.27%11.08%35.86%
🇫🇯 Fiji5.99%5.9%20.6%
🇫🇮 Finland6.63%23.27%34.04%
🇫🇷 France11.39%21.66%34.23%
🇬🇫 French Guiana7.96%5.98%21.13%
🇵🇫 French Polynesia3.%10.07%37.85%
🇬🇦 Gabon7.21%3.89%16.25%
🇬🇲 Gambia2.5%2.43%16.06%
🇬🇪 Georgia9.35%14.61%31.19%
🇩🇪 Germany9.46%22.41%33.72%
🇬🇭 Ghana4.62%3.55%15.91%
🇬🇮 Gibraltar6.94%20.84%37.63%
🇬🇷 Greece6.8%22.82%37.52%
🇬🇱 Greenland3.06%10.02%29.16%
🇬🇩 Grenada5.12%10.07%30.54%
🇬🇵 Guadeloupe5.51%20.04%34.45%
🇬🇺 Guam1.11%11.84%31.19%
🇬🇹 Guatemala2.31%4.91%28.05%
🇬🇬 Guernsey11.96%16.64%35.4%
🇬🇳 Guinea5.39%3.32%14.%
🇬🇼 Guinea-Bissau3.45%2.82%14.34%
🇬🇾 Guyana3.89%6.28%28.94%
🇭🇹 Haiti3.64%4.54%19.07%
🇭🇳 Honduras3.96%4.27%26.5%
🇭🇰 Hong Kong2.48%20.47%41.64%
🇭🇺 Hungary7.81%20.01%31.85%
🇮🇸 Iceland7.52%15.33%34.25%
🇮🇳 India3.1%6.9%29.81%
🇮🇩 Indonesia1.74%6.86%25.28%
🇮🇷 Iran5.22%7.62%33.72%
🇮🇶 Iraq2.79%3.41%18.44%
🇮🇪 Ireland10.99%15.14%32.48%
🇮🇲 Isle of Man13.9%22.29%31.8%
🇮🇱 Israel4.%12.04%25.97%
🇮🇹 Italy8.09%24.05%38.19%
🇯🇲 Jamaica3.83%7.45%44.05%
🇯🇵 Japan4.89%29.92%38.7%
🇯🇪 Jersey12.34%16.22%30.52%
🇯🇴 Jordan5.03%3.84%27.3%
🇰🇿 Kazakhstan6.47%8.04%19.58%
🇰🇪 Kenya5.28%2.87%16.98%
🇰🇮 Kiribati7.13%3.81%17.33%
🇽🇰 Kosovo5.33%10.19%43.35%
🇰🇼 Kuwait2.88%4.93%31.56%
🇰🇬 Kyrgyzstan7.91%4.54%21.08%
🇱🇦 Laos2.13%4.45%25.24%
🇱🇻 Latvia10.12%21.86%32.86%
🇱🇧 Lebanon7.24%9.89%32.11%
🇱🇸 Lesotho6.34%4.2%13.44%
🇱🇷 Liberia2.97%3.31%13.88%
🇱🇾 Libya5.21%4.86%27.77%
🇱🇮 Liechtenstein7.89%19.37%34.79%
🇱🇹 Lithuania8.65%20.8%32.79%
🇱🇺 Luxembourg9.71%15.03%31.55%
🇲🇴 Macao3.11%13.%32.39%
🇲🇬 Madagascar3.25%3.35%16.21%
🇲🇼 Malawi3.06%2.61%15.61%
🇲🇾 Malaysia4.91%7.5%30.78%
🇲🇻 Maldives3.14%4.78%35.61%
🇲🇱 Mali2.78%2.38%11.%
🇲🇹 Malta7.42%19.13%38.26%
🇲🇭 Marshall Islands5.68%4.56%17.8%
🇲🇶 Martinique5.85%22.77%37.31%
🇲🇷 Mauritania1.44%3.22%15.03%
🇲🇺 Mauritius3.18%12.79%33.76%
🇾🇹 Mayotte6.61%2.88%18.15%
🇲🇽 Mexico2.99%8.32%34.88%
🇫🇲 Micronesia (country)4.11%6.16%27.59%
🇲🇩 Moldova7.56%12.98%26.36%
🇲🇨 Monaco15.64%35.92%30.16%
🇲🇳 Mongolia3.87%4.61%26.18%
🇲🇪 Montenegro7.85%16.55%34.16%
🇲🇸 Montserrat7.92%17.7%33.05%
🇲🇦 Morocco2.86%7.72%29.97%
🇲🇿 Mozambique3.13%2.57%13.43%
🇲🇲 Myanmar3.21%6.82%23.69%
🇳🇦 Namibia4.1%3.97%15.38%
🇳🇷 Nauru8.98%2.5%15.87%
🇳🇵 Nepal2.74%6.09%29.51%
🇳🇱 Netherlands7.76%20.31%32.89%
🇳🇨 New Caledonia5.%11.02%31.61%
🇳🇿 New Zealand9.09%16.31%33.2%
🇳🇮 Nicaragua2.71%5.29%28.92%
🇳🇪 Niger.92%2.4%9.76%
🇳🇬 Nigeria3.%2.97%12.31%
🇳🇺 Niue4.79%15.16%22.55%
🇰🇵 North Korea2.72%11.71%30.49%
🇲🇰 North Macedonia5.87%14.91%36.56%
🇲🇵 Northern Mariana Islands2.95%10.81%32.09%
🇳🇴 Norway9.52%18.44%31.65%
🇴🇲 Oman3.05%2.76%23.96%
🇵🇰 Pakistan5.48%4.27%17.23%
🇵🇼 Palau8.59%9.93%21.48%
🇵🇸 Palestine4.77%3.53%23.44%
🇵🇦 Panama3.57%8.77%30.03%
🇵🇬 Papua New Guinea1.09%3.19%16.81%
🇵🇾 Paraguay3.73%6.26%26.51%
🇵🇪 Peru3.43%8.41%30.33%
🇵🇭 Philippines3.56%5.44%23.38%
🇵🇱 Poland5.22%18.55%35.69%
🇵🇹 Portugal7.%22.9%36.28%
🇵🇷 Puerto Rico3.63%22.93%48.9%
🇶🇦 Qatar3.5%1.52%15.01%
🇷🇪 Reunion3.81%13.28%32.4%
🇷🇴 Romania7.16%18.64%32.22%
🇷🇺 Russia4.8%15.8%27.86%
🇷🇼 Rwanda2.76%3.2%17.36%
🇧🇱 Saint Barthlemy7.3%10.61%43.89%
🇸🇭 Saint Helena8.63%28.66%32.61%
🇰🇳 Saint Kitts and Nevis5.36%10.13%29.79%
🇱🇨 Saint Lucia3.59%9.23%33.39%
🇲🇫 Saint Martin (French part)4.47%11.14%30.08%
🇵🇲 Saint Pierre and Miquelon6.34%17.32%33.4%
🇻🇨 Saint Vincent and the Grenadines7.71%10.86%32.34%
🇼🇸 Samoa2.52%5.22%18.75%
🇸🇲 San Marino10.15%20.47%35.73%
🇸🇹 Sao Tome and Principe3.92%3.76%15.6%
🇸🇦 Saudi Arabia3.32%2.81%30.28%
🇸🇳 Senegal3.42%3.14%16.54%
🇷🇸 Serbia6.15%20.56%37.55%
🇸🇨 Seychelles10.68%8.16%28.84%
🇸🇱 Sierra Leone3.02%3.14%15.52%
🇸🇬 Singapore2.29%15.12%36.51%
🇸🇽 Sint Maarten (Dutch part)12.03%10.57%34.51%
🇸🇰 Slovakia6.63%16.98%33.4%
🇸🇮 Slovenia7.52%20.96%33.59%
🇸🇧 Solomon Islands4.03%3.47%15.29%
🇸🇴 Somalia2.6%2.57%10.75%
🇿🇦 South Africa4.06%5.89%20.55%
🇰🇷 South Korea2.74%17.49%44.44%
🇸🇸 South Sudan3.48%2.89%13.11%
🇪🇸 Spain7.23%20.27%38.72%
🇱🇰 Sri Lanka8.76%11.54%35.73%
🇸🇩 Sudan3.03%3.5%13.28%
🇸🇷 Suriname4.09%7.39%25.8%
🇸🇪 Sweden10.19%20.25%31.83%
🇨🇭 Switzerland9.49%19.31%32.61%
🇸🇾 Syria7.66%4.68%24.62%
🇹🇼 Taiwan2.11%16.71%37.32%
🇹🇯 Tajikistan4.34%3.47%19.43%
🇹🇿 Tanzania2.2%3.1%14.97%
🇹🇭 Thailand3.21%15.21%39.17%
🇹🇱 Timor3.14%5.21%25.42%
🇹🇬 Togo4.29%3.13%11.77%
🇹🇰 Tokelau4.7%8.66%25.03%
🇹🇴 Tonga4.6%6.22%21.65%
🇹🇹 Trinidad and Tobago3.93%11.52%32.67%
🇹🇳 Tunisia4.4%9.02%31.24%
🇹🇷 Turkey3.77%8.64%33.9%
🇹🇲 Turkmenistan5.84%5.15%21.55%
🇹🇨 Turks and Caicos Islands5.79%10.34%28.25%
🇹🇻 Tuvalu4.98%6.48%16.15%
🇺🇬 Uganda2.87%1.69%14.33%
🇺🇦 Ukraine7.54%18.81%33.2%
🇦🇪 United Arab Emirates3.35%1.83%15.77%
🇬🇧 United Kingdom10.84%19.17%32.56%
🇺🇸 United States8.18%17.13%30.47%
🇻🇮 United States Virgin Islands7.54%20.42%39.11%
🇺🇾 Uruguay8.23%15.58%35.98%
🇺🇿 Uzbekistan5.87%5.14%22.24%
🇻🇺 Vanuatu5.65%3.74%16.29%
🇻🇪 Venezuela2.29%8.61%27.71%
🇻🇳 Vietnam4.13%9.12%30.02%
🇼🇫 Wallis and Futuna1.76%13.47%32.98%
🇪🇭 Western Sahara2.82%5.84%23.73%
🇾🇪 Yemen3.98%2.66%18.25%
🇿🇲 Zambia2.76%1.75%12.66%
🇿🇼 Zimbabwe3.18%3.32%14.22%
🌐 World5.13%9.82%24.03%

Some of the places with high elderly shares today include high-income countries like Japan (30%), Italy (24%), and Finland (23%).

The lowest shares are concentrated in the Middle East and Africa. Many countries have just 2% of their population aged 65 years and older, such as Qatar, Uganda, and Afghanistan.

But over time, almost all countries are expected to see their older population segments grow. In just three decades, it is estimated that one-in-four European, North American, and Asian residents will be over 65 years of age.

By 2100, a variety of Asian countries and island nations facing low population growth are expected to see more than one-third of their populations aged 65 years or older, including South Korea and Jamaica at 44%. However, it’s actually Albania that’s the biggest outlier overall, with a projected 49% of its population to be aged 65 and older by 2100.

Passing the Generational Torch

The challenge of an aging population is set to impact all sectors of society, including labor and financial markets, demand for housing and transportation, and especially family structures and intergenerational ties.

One way to help grasp the nature of transition is to note the changing ratio between seniors and young children in the world population, as seen in the below crossover diagram:

Elderly population surpass that of children aged 5 and below

Dropping fertility rates, in addition to improved child and infant mortality rates, are known to have played a major role in the plateauing population of children.

However, not all countries have witnessed this crossover yet, as it usually coincides with higher levels of economic development.

As countries such as India, Brazil, and South Africa reach higher levels of per capita income, they will be likely to follow down the paths of more advanced economies, eventually experiencing similar demographic fates and challenges.

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