Connect with us

Healthcare

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

Published

on

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

Combine this with the high interconnectedness of modern lifeโ€”even when social distancing and lockdowns are appliedโ€”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.

Subscribe to Visual Capitalist
Click for Comments

Countries

Charted: The Worldโ€™s Aging Population from 1950 to 2100

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

Published

on

Charted: The Worldโ€™s Aging Population from 1950 to 2100

As demographics continue to shift in the 21st century, the worldโ€™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 Worldโ€™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
๐Ÿ‡ฆ๐Ÿ‡ซ Afghanistan2.85%2.39%16.03%
๐Ÿ‡ฆ๐Ÿ‡ฑ Albania6.04%16.66%49.08%
๐Ÿ‡ฉ๐Ÿ‡ฟ Algeria3.49%6.39%28.83%
๐Ÿ‡ฆ๐Ÿ‡ธ American Samoa2.38%7.27%45.41%
๐Ÿ‡ฆ๐Ÿ‡ฉ Andorra10.02%14.98%37.04%
๐Ÿ‡ฆ๐Ÿ‡ด Angola2.93%2.6%12.07%
๐Ÿ‡ฆ๐Ÿ‡ฎ Anguilla3.69%10.71%37.49%
๐Ÿ‡ฆ๐Ÿ‡ฌ Antigua and Barbuda4.14%10.63%35.4%
๐Ÿ‡ฆ๐Ÿ‡ท Argentina4.13%11.92%31.79%
๐Ÿ‡ฆ๐Ÿ‡ฒ Armenia8.17%13.15%36.13%
๐Ÿ‡ฆ๐Ÿ‡ผ Aruba1.77%16.15%36.51%
๐Ÿ‡ฆ๐Ÿ‡บ Australia8.17%16.9%31.38%
๐Ÿ‡ฆ๐Ÿ‡น Austria10.42%19.81%33.93%
๐Ÿ‡ฆ๐Ÿ‡ฟ Azerbaijan6.89%7.11%30.5%
๐Ÿ‡ง๐Ÿ‡ธ Bahamas4.76%8.89%29.58%
๐Ÿ‡ง๐Ÿ‡ญ Bahrain2.88%3.76%21.89%
๐Ÿ‡ง๐Ÿ‡ฉ Bangladesh3.9%6.04%32.56%
๐Ÿ‡ง๐Ÿ‡ง Barbados5.24%16.28%33.19%
๐Ÿ‡ง๐Ÿ‡พ Belarus8.24%17.18%30.45%
๐Ÿ‡ง๐Ÿ‡ช Belgium11.03%19.73%32.83%
๐Ÿ‡ง๐Ÿ‡ฟ Belize3.57%5.09%29.21%
๐Ÿ‡ง๐Ÿ‡ฏ Benin7.85%3.06%11.03%
๐Ÿ‡ง๐Ÿ‡ฒ Bermuda5.71%20.41%37.73%
๐Ÿ‡ง๐Ÿ‡น Bhutan2.53%6.25%33.35%
๐Ÿ‡ง๐Ÿ‡ด Bolivia6.11%4.85%21.75%
๐Ÿ‡ง๐Ÿ‡ถ Bonaire Sint Eustatius and Saba14.22%13.84%28.94%
๐Ÿ‡ง๐Ÿ‡ฆ Bosnia and Herzegovina3.95%18.4%36.4%
๐Ÿ‡ง๐Ÿ‡ผ Botswana4.32%3.65%17.96%
๐Ÿ‡ง๐Ÿ‡ท Brazil2.39%9.88%33.52%
๐Ÿ‡ป๐Ÿ‡ฌ British Virgin Islands8.63%9.95%32.47%
๐Ÿ‡ง๐Ÿ‡ณ Brunei4.85%6.17%30.93%
๐Ÿ‡ง๐Ÿ‡ฌ Bulgaria6.66%22.38%37.13%
๐Ÿ‡ง๐Ÿ‡ซ Burkina Faso2.01%2.53%13.07%
๐Ÿ‡ง๐Ÿ‡ฎ Burundi3.22%2.48%13.23%
๐Ÿ‡ฐ๐Ÿ‡ญ Cambodia2.67%5.81%26.43%
๐Ÿ‡จ๐Ÿ‡ฒ Cameroon3.47%2.67%11.89%
๐Ÿ‡จ๐Ÿ‡ฆ Canada7.7%19.03%31.55%
๐Ÿ‡จ๐Ÿ‡ป Cape Verde3.67%5.55%32.63%
๐Ÿ‡ฐ๐Ÿ‡พ Cayman Islands6.05%8.17%28.75%
๐Ÿ‡จ๐Ÿ‡ซ Central African Republic5.%2.51%11.43%
๐Ÿ‡น๐Ÿ‡ฉ Chad4.33%2.01%9.64%
๐Ÿ‡จ๐Ÿ‡ฑ Chile3.3%13.03%36.61%
๐Ÿ‡จ๐Ÿ‡ณ China5.04%13.72%40.93%
๐Ÿ‡จ๐Ÿ‡ด Colombia3.22%9.%34.49%
๐Ÿ‡ฐ๐Ÿ‡ฒ Comoros3.8%4.28%17.81%
๐Ÿ‡จ๐Ÿ‡ฌ Congo3.36%2.72%11.99%
๐Ÿ‡จ๐Ÿ‡ฐ Cook Islands2.94%11.73%29.75%
๐Ÿ‡จ๐Ÿ‡ท Costa Rica2.97%10.83%36.99%
๐Ÿ‡จ๐Ÿ‡ฎ Cote d'Ivoire2.21%2.4%10.86%
๐Ÿ‡ญ๐Ÿ‡ท Croatia7.82%22.36%37.03%
๐Ÿ‡จ๐Ÿ‡บ Cuba4.36%15.81%36.31%
๐Ÿ‡จ๐Ÿ‡ผ Curacao5.82%14.95%30.46%
๐Ÿ‡จ๐Ÿ‡พ Cyprus5.95%14.83%33.36%
๐Ÿ‡จ๐Ÿ‡ฟ Czechia8.29%20.64%26.94%
๐Ÿ‡จ๐Ÿ‡ฉ Democratic Republic of Congo3.77%2.92%10.62%
๐Ÿ‡ฉ๐Ÿ‡ฐ Denmark9.04%20.49%30.45%
๐Ÿ‡ฉ๐Ÿ‡ฏ Djibouti1.99%4.54%19.68%
๐Ÿ‡ฉ๐Ÿ‡ฒ Dominica7.67%9.53%34.28%
๐Ÿ‡ฉ๐Ÿ‡ด Dominican Republic2.72%7.4%30.47%
๐Ÿ‡ช๐Ÿ‡จ Ecuador5.2%7.83%31.97%
๐Ÿ‡ช๐Ÿ‡ฌ Egypt2.95%4.83%21.77%
๐Ÿ‡ธ๐Ÿ‡ป El Salvador3.93%8.22%36.02%
๐Ÿ‡ฌ๐Ÿ‡ถ Equatorial Guinea5.53%3.12%15.13%
๐Ÿ‡ช๐Ÿ‡ท Eritrea3.2%4.01%19.86%
๐Ÿ‡ช๐Ÿ‡ช Estonia10.56%20.58%34.15%
๐Ÿ‡ธ๐Ÿ‡ฟ Eswatini2.68%4.%16.26%
๐Ÿ‡ช๐Ÿ‡น Ethiopia3.01%3.14%18.6%
๐Ÿ‡ซ๐Ÿ‡ด Faeroe Islands7.59%17.92%26.91%
๐Ÿ‡ซ๐Ÿ‡ฐ Falkland Islands8.27%11.08%35.86%
๐Ÿ‡ซ๐Ÿ‡ฏ Fiji5.99%5.9%20.6%
๐Ÿ‡ซ๐Ÿ‡ฎ Finland6.63%23.27%34.04%
๐Ÿ‡ซ๐Ÿ‡ท France11.39%21.66%34.23%
๐Ÿ‡ฌ๐Ÿ‡ซ French Guiana7.96%5.98%21.13%
๐Ÿ‡ต๐Ÿ‡ซ French Polynesia3.%10.07%37.85%
๐Ÿ‡ฌ๐Ÿ‡ฆ Gabon7.21%3.89%16.25%
๐Ÿ‡ฌ๐Ÿ‡ฒ Gambia2.5%2.43%16.06%
๐Ÿ‡ฌ๐Ÿ‡ช Georgia9.35%14.61%31.19%
๐Ÿ‡ฉ๐Ÿ‡ช Germany9.46%22.41%33.72%
๐Ÿ‡ฌ๐Ÿ‡ญ Ghana4.62%3.55%15.91%
๐Ÿ‡ฌ๐Ÿ‡ฎ Gibraltar6.94%20.84%37.63%
๐Ÿ‡ฌ๐Ÿ‡ท Greece6.8%22.82%37.52%
๐Ÿ‡ฌ๐Ÿ‡ฑ Greenland3.06%10.02%29.16%
๐Ÿ‡ฌ๐Ÿ‡ฉ Grenada5.12%10.07%30.54%
๐Ÿ‡ฌ๐Ÿ‡ต Guadeloupe5.51%20.04%34.45%
๐Ÿ‡ฌ๐Ÿ‡บ Guam1.11%11.84%31.19%
๐Ÿ‡ฌ๐Ÿ‡น Guatemala2.31%4.91%28.05%
๐Ÿ‡ฌ๐Ÿ‡ฌ Guernsey11.96%16.64%35.4%
๐Ÿ‡ฌ๐Ÿ‡ณ Guinea5.39%3.32%14.%
๐Ÿ‡ฌ๐Ÿ‡ผ Guinea-Bissau3.45%2.82%14.34%
๐Ÿ‡ฌ๐Ÿ‡พ Guyana3.89%6.28%28.94%
๐Ÿ‡ญ๐Ÿ‡น Haiti3.64%4.54%19.07%
๐Ÿ‡ญ๐Ÿ‡ณ Honduras3.96%4.27%26.5%
๐Ÿ‡ญ๐Ÿ‡ฐ Hong Kong2.48%20.47%41.64%
๐Ÿ‡ญ๐Ÿ‡บ Hungary7.81%20.01%31.85%
๐Ÿ‡ฎ๐Ÿ‡ธ Iceland7.52%15.33%34.25%
๐Ÿ‡ฎ๐Ÿ‡ณ India3.1%6.9%29.81%
๐Ÿ‡ฎ๐Ÿ‡ฉ Indonesia1.74%6.86%25.28%
๐Ÿ‡ฎ๐Ÿ‡ท Iran5.22%7.62%33.72%
๐Ÿ‡ฎ๐Ÿ‡ถ Iraq2.79%3.41%18.44%
๐Ÿ‡ฎ๐Ÿ‡ช Ireland10.99%15.14%32.48%
๐Ÿ‡ฎ๐Ÿ‡ฒ Isle of Man13.9%22.29%31.8%
๐Ÿ‡ฎ๐Ÿ‡ฑ Israel4.%12.04%25.97%
๐Ÿ‡ฎ๐Ÿ‡น Italy8.09%24.05%38.19%
๐Ÿ‡ฏ๐Ÿ‡ฒ Jamaica3.83%7.45%44.05%
๐Ÿ‡ฏ๐Ÿ‡ต Japan4.89%29.92%38.7%
๐Ÿ‡ฏ๐Ÿ‡ช Jersey12.34%16.22%30.52%
๐Ÿ‡ฏ๐Ÿ‡ด Jordan5.03%3.84%27.3%
๐Ÿ‡ฐ๐Ÿ‡ฟ Kazakhstan6.47%8.04%19.58%
๐Ÿ‡ฐ๐Ÿ‡ช Kenya5.28%2.87%16.98%
๐Ÿ‡ฐ๐Ÿ‡ฎ Kiribati7.13%3.81%17.33%
๐Ÿ‡ฝ๐Ÿ‡ฐ Kosovo5.33%10.19%43.35%
๐Ÿ‡ฐ๐Ÿ‡ผ Kuwait2.88%4.93%31.56%
๐Ÿ‡ฐ๐Ÿ‡ฌ Kyrgyzstan7.91%4.54%21.08%
๐Ÿ‡ฑ๐Ÿ‡ฆ Laos2.13%4.45%25.24%
๐Ÿ‡ฑ๐Ÿ‡ป Latvia10.12%21.86%32.86%
๐Ÿ‡ฑ๐Ÿ‡ง Lebanon7.24%9.89%32.11%
๐Ÿ‡ฑ๐Ÿ‡ธ Lesotho6.34%4.2%13.44%
๐Ÿ‡ฑ๐Ÿ‡ท Liberia2.97%3.31%13.88%
๐Ÿ‡ฑ๐Ÿ‡พ Libya5.21%4.86%27.77%
๐Ÿ‡ฑ๐Ÿ‡ฎ Liechtenstein7.89%19.37%34.79%
๐Ÿ‡ฑ๐Ÿ‡น Lithuania8.65%20.8%32.79%
๐Ÿ‡ฑ๐Ÿ‡บ Luxembourg9.71%15.03%31.55%
๐Ÿ‡ฒ๐Ÿ‡ด Macao3.11%13.%32.39%
๐Ÿ‡ฒ๐Ÿ‡ฌ Madagascar3.25%3.35%16.21%
๐Ÿ‡ฒ๐Ÿ‡ผ Malawi3.06%2.61%15.61%
๐Ÿ‡ฒ๐Ÿ‡พ Malaysia4.91%7.5%30.78%
๐Ÿ‡ฒ๐Ÿ‡ป Maldives3.14%4.78%35.61%
๐Ÿ‡ฒ๐Ÿ‡ฑ Mali2.78%2.38%11.%
๐Ÿ‡ฒ๐Ÿ‡น Malta7.42%19.13%38.26%
๐Ÿ‡ฒ๐Ÿ‡ญ Marshall Islands5.68%4.56%17.8%
๐Ÿ‡ฒ๐Ÿ‡ถ Martinique5.85%22.77%37.31%
๐Ÿ‡ฒ๐Ÿ‡ท Mauritania1.44%3.22%15.03%
๐Ÿ‡ฒ๐Ÿ‡บ Mauritius3.18%12.79%33.76%
๐Ÿ‡พ๐Ÿ‡น Mayotte6.61%2.88%18.15%
๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico2.99%8.32%34.88%
๐Ÿ‡ซ๐Ÿ‡ฒ Micronesia (country)4.11%6.16%27.59%
๐Ÿ‡ฒ๐Ÿ‡ฉ Moldova7.56%12.98%26.36%
๐Ÿ‡ฒ๐Ÿ‡จ Monaco15.64%35.92%30.16%
๐Ÿ‡ฒ๐Ÿ‡ณ Mongolia3.87%4.61%26.18%
๐Ÿ‡ฒ๐Ÿ‡ช Montenegro7.85%16.55%34.16%
๐Ÿ‡ฒ๐Ÿ‡ธ Montserrat7.92%17.7%33.05%
๐Ÿ‡ฒ๐Ÿ‡ฆ Morocco2.86%7.72%29.97%
๐Ÿ‡ฒ๐Ÿ‡ฟ Mozambique3.13%2.57%13.43%
๐Ÿ‡ฒ๐Ÿ‡ฒ Myanmar3.21%6.82%23.69%
๐Ÿ‡ณ๐Ÿ‡ฆ Namibia4.1%3.97%15.38%
๐Ÿ‡ณ๐Ÿ‡ท Nauru8.98%2.5%15.87%
๐Ÿ‡ณ๐Ÿ‡ต Nepal2.74%6.09%29.51%
๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands7.76%20.31%32.89%
๐Ÿ‡ณ๐Ÿ‡จ New Caledonia5.%11.02%31.61%
๐Ÿ‡ณ๐Ÿ‡ฟ New Zealand9.09%16.31%33.2%
๐Ÿ‡ณ๐Ÿ‡ฎ Nicaragua2.71%5.29%28.92%
๐Ÿ‡ณ๐Ÿ‡ช Niger.92%2.4%9.76%
๐Ÿ‡ณ๐Ÿ‡ฌ Nigeria3.%2.97%12.31%
๐Ÿ‡ณ๐Ÿ‡บ Niue4.79%15.16%22.55%
๐Ÿ‡ฐ๐Ÿ‡ต North Korea2.72%11.71%30.49%
๐Ÿ‡ฒ๐Ÿ‡ฐ North Macedonia5.87%14.91%36.56%
๐Ÿ‡ฒ๐Ÿ‡ต Northern Mariana Islands2.95%10.81%32.09%
๐Ÿ‡ณ๐Ÿ‡ด Norway9.52%18.44%31.65%
๐Ÿ‡ด๐Ÿ‡ฒ Oman3.05%2.76%23.96%
๐Ÿ‡ต๐Ÿ‡ฐ Pakistan5.48%4.27%17.23%
๐Ÿ‡ต๐Ÿ‡ผ Palau8.59%9.93%21.48%
๐Ÿ‡ต๐Ÿ‡ธ Palestine4.77%3.53%23.44%
๐Ÿ‡ต๐Ÿ‡ฆ Panama3.57%8.77%30.03%
๐Ÿ‡ต๐Ÿ‡ฌ Papua New Guinea1.09%3.19%16.81%
๐Ÿ‡ต๐Ÿ‡พ Paraguay3.73%6.26%26.51%
๐Ÿ‡ต๐Ÿ‡ช Peru3.43%8.41%30.33%
๐Ÿ‡ต๐Ÿ‡ญ Philippines3.56%5.44%23.38%
๐Ÿ‡ต๐Ÿ‡ฑ Poland5.22%18.55%35.69%
๐Ÿ‡ต๐Ÿ‡น Portugal7.%22.9%36.28%
๐Ÿ‡ต๐Ÿ‡ท Puerto Rico3.63%22.93%48.9%
๐Ÿ‡ถ๐Ÿ‡ฆ Qatar3.5%1.52%15.01%
๐Ÿ‡ท๐Ÿ‡ช Reunion3.81%13.28%32.4%
๐Ÿ‡ท๐Ÿ‡ด Romania7.16%18.64%32.22%
๐Ÿ‡ท๐Ÿ‡บ Russia4.8%15.8%27.86%
๐Ÿ‡ท๐Ÿ‡ผ Rwanda2.76%3.2%17.36%
๐Ÿ‡ง๐Ÿ‡ฑ Saint Barthlemy7.3%10.61%43.89%
๐Ÿ‡ธ๐Ÿ‡ญ Saint Helena8.63%28.66%32.61%
๐Ÿ‡ฐ๐Ÿ‡ณ Saint Kitts and Nevis5.36%10.13%29.79%
๐Ÿ‡ฑ๐Ÿ‡จ Saint Lucia3.59%9.23%33.39%
๐Ÿ‡ฒ๐Ÿ‡ซ Saint Martin (French part)4.47%11.14%30.08%
๐Ÿ‡ต๐Ÿ‡ฒ Saint Pierre and Miquelon6.34%17.32%33.4%
๐Ÿ‡ป๐Ÿ‡จ Saint Vincent and the Grenadines7.71%10.86%32.34%
๐Ÿ‡ผ๐Ÿ‡ธ Samoa2.52%5.22%18.75%
๐Ÿ‡ธ๐Ÿ‡ฒ San Marino10.15%20.47%35.73%
๐Ÿ‡ธ๐Ÿ‡น Sao Tome and Principe3.92%3.76%15.6%
๐Ÿ‡ธ๐Ÿ‡ฆ Saudi Arabia3.32%2.81%30.28%
๐Ÿ‡ธ๐Ÿ‡ณ Senegal3.42%3.14%16.54%
๐Ÿ‡ท๐Ÿ‡ธ Serbia6.15%20.56%37.55%
๐Ÿ‡ธ๐Ÿ‡จ Seychelles10.68%8.16%28.84%
๐Ÿ‡ธ๐Ÿ‡ฑ Sierra Leone3.02%3.14%15.52%
๐Ÿ‡ธ๐Ÿ‡ฌ Singapore2.29%15.12%36.51%
๐Ÿ‡ธ๐Ÿ‡ฝ Sint Maarten (Dutch part)12.03%10.57%34.51%
๐Ÿ‡ธ๐Ÿ‡ฐ Slovakia6.63%16.98%33.4%
๐Ÿ‡ธ๐Ÿ‡ฎ Slovenia7.52%20.96%33.59%
๐Ÿ‡ธ๐Ÿ‡ง Solomon Islands4.03%3.47%15.29%
๐Ÿ‡ธ๐Ÿ‡ด Somalia2.6%2.57%10.75%
๐Ÿ‡ฟ๐Ÿ‡ฆ South Africa4.06%5.89%20.55%
๐Ÿ‡ฐ๐Ÿ‡ท South Korea2.74%17.49%44.44%
๐Ÿ‡ธ๐Ÿ‡ธ South Sudan3.48%2.89%13.11%
๐Ÿ‡ช๐Ÿ‡ธ Spain7.23%20.27%38.72%
๐Ÿ‡ฑ๐Ÿ‡ฐ Sri Lanka8.76%11.54%35.73%
๐Ÿ‡ธ๐Ÿ‡ฉ Sudan3.03%3.5%13.28%
๐Ÿ‡ธ๐Ÿ‡ท Suriname4.09%7.39%25.8%
๐Ÿ‡ธ๐Ÿ‡ช Sweden10.19%20.25%31.83%
๐Ÿ‡จ๐Ÿ‡ญ Switzerland9.49%19.31%32.61%
๐Ÿ‡ธ๐Ÿ‡พ Syria7.66%4.68%24.62%
๐Ÿ‡น๐Ÿ‡ผ Taiwan2.11%16.71%37.32%
๐Ÿ‡น๐Ÿ‡ฏ Tajikistan4.34%3.47%19.43%
๐Ÿ‡น๐Ÿ‡ฟ Tanzania2.2%3.1%14.97%
๐Ÿ‡น๐Ÿ‡ญ Thailand3.21%15.21%39.17%
๐Ÿ‡น๐Ÿ‡ฑ Timor3.14%5.21%25.42%
๐Ÿ‡น๐Ÿ‡ฌ Togo4.29%3.13%11.77%
๐Ÿ‡น๐Ÿ‡ฐ Tokelau4.7%8.66%25.03%
๐Ÿ‡น๐Ÿ‡ด Tonga4.6%6.22%21.65%
๐Ÿ‡น๐Ÿ‡น Trinidad and Tobago3.93%11.52%32.67%
๐Ÿ‡น๐Ÿ‡ณ Tunisia4.4%9.02%31.24%
๐Ÿ‡น๐Ÿ‡ท Turkey3.77%8.64%33.9%
๐Ÿ‡น๐Ÿ‡ฒ Turkmenistan5.84%5.15%21.55%
๐Ÿ‡น๐Ÿ‡จ Turks and Caicos Islands5.79%10.34%28.25%
๐Ÿ‡น๐Ÿ‡ป Tuvalu4.98%6.48%16.15%
๐Ÿ‡บ๐Ÿ‡ฌ Uganda2.87%1.69%14.33%
๐Ÿ‡บ๐Ÿ‡ฆ Ukraine7.54%18.81%33.2%
๐Ÿ‡ฆ๐Ÿ‡ช United Arab Emirates3.35%1.83%15.77%
๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom10.84%19.17%32.56%
๐Ÿ‡บ๐Ÿ‡ธ United States8.18%17.13%30.47%
๐Ÿ‡ป๐Ÿ‡ฎ United States Virgin Islands7.54%20.42%39.11%
๐Ÿ‡บ๐Ÿ‡พ Uruguay8.23%15.58%35.98%
๐Ÿ‡บ๐Ÿ‡ฟ Uzbekistan5.87%5.14%22.24%
๐Ÿ‡ป๐Ÿ‡บ Vanuatu5.65%3.74%16.29%
๐Ÿ‡ป๐Ÿ‡ช Venezuela2.29%8.61%27.71%
๐Ÿ‡ป๐Ÿ‡ณ Vietnam4.13%9.12%30.02%
๐Ÿ‡ผ๐Ÿ‡ซ Wallis and Futuna1.76%13.47%32.98%
๐Ÿ‡ช๐Ÿ‡ญ Western Sahara2.82%5.84%23.73%
๐Ÿ‡พ๐Ÿ‡ช Yemen3.98%2.66%18.25%
๐Ÿ‡ฟ๐Ÿ‡ฒ Zambia2.76%1.75%12.66%
๐Ÿ‡ฟ๐Ÿ‡ผ Zimbabwe3.18%3.32%14.22%
๐ŸŒ 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.

Continue Reading

Subscribe

Popular