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Global COVID-19 Containment: Confirmed Cases, Updated Daily

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Global COVID Containment: Confirmed Cases, Updated Daily

Sometimes, it helps to gain a fresh perspective.

Since the pandemic began, there have been innumerable tracking resources made available online, but rarely do they paint a complete picture of a country’s containment progress.

How Much Progress Is Really Being Made

Featured above, this continuously updated chart from Our World in Data provides a more complete look at the efficacy of COVID-19 containment strategies, sorted by country.

It is a variation of the Epidemic Curve (or “epi curve”), showing confirmed COVID-19 cases per country in relation to their testing rates—what’s revealed is the strength of each country’s containment strategy.

Only a fraction of total cases–those confirmed by a test–is known. This is why we spent recent months building the database and the visualization tool to make this variation of the epidemic curve possible.

— Our World in Data

Why Look at it This Way? Adequate Benchmarking

Countries vary widely in how they monitor and report on COVID-19. Cases in this particular chart were confirmed via laboratory testing, and the data covers 66% of the globe’s population.

Depending on a country’s containment efforts, confirmed cases can differ dramatically from total cases. To get a better idea of that difference, Our World in Data looked closer at the extent of testing. As they report, the World Health Organization considers an adequate benchmark to be 10-30 tests per confirmed case. And for those countries that experience larger outbreaks, there must be more tests conducted per confirmed case.

What the COVID Test-to-Case Ratio Tells Us

  • Line Trajectory: In this chart, rising lines show that the average number of laboratory-confirmed cases has increased over time, and vice versa for falling lines. Beyond flattening the curve, the end game is to have all of those lines reach zero.
  • Blue Lines: The darker the blue line, the more likely that the line is an accurate indicator, as thousands of tests have been administered per confirmed case. The more blue lines this chart shows over time, the better for us all.
  • Red Lines: By contrast, the warmer the color of the line, the fewer tests are being administered per confirmed case, and it is less likely to be an accurate measure of COVID-19 cases. Red lines, for example, indicate that only five tests are conducted for every confirmed case, suggesting that the count is not accurate and that many cases are going unreported.

Epi Curve Scenario Examples

Consider these three scenarios in the diagram above, and hover over countries in the main visualization to compare:

  • Country A: Winning the fight against COVID-19.
    These countries, like New Zealand, have steadily increased the number of tests per confirmed case. Country A administers hundreds or thousands of tests per confirmed case. The likelihood of missed cases is far lower, most cases are accounted for, and they can confidently state they are winning the fight against COVID-19.
  • Country B: A severe, prolonged outbreak.
    In comparison, countries like the U.S. have experienced a steady rise in confirmed cases. They also have lower rates of testing—only five tests per confirmed case. Country B cases are likely to be higher than the number reported, a fact that is especially concerning given that the U.S. has already surpassed the rest of the world’s countries in confirmed cases.
  • Country C: A volatile scenario.
    While confirmed cases decrease, there is much room for doubt. In Country C (South Africa for instance), confirmed cases are decreasing, but very few tests are administered. Unfortunately, this indicates there are many unrepresented cases. Country C probably has a larger problem than its downward trajectory would indicate.

Cases Per Million People

From a different angle, we can see daily new COVID-19 cases per capita. This gives us a better sense of how countries compare in terms of confirmed cases.

Countries like Thailand, New Zealand, and South Korea all show relatively low rates of COVID-19 per capita, as well as high levels of testing. Conversely, countries like Spain and Kuwait reveal high levels of confirmed cases per capita and extremely low testing rates.

Another Perspective for Good Measure

For a holistic view of testing, the map below shows us the daily number of tests for each newly confirmed COVID-19 case, based on a rolling 7-day average.

Countries like Norway, Australia, and Canada reveal strong testing-to-confirmed-case ratios. In contrast, countries like Bolivia and the Philippines reveal the probability of out-of-control outbreaks.

Due to lower levels of testing in relation to confirmed cases, countries in red are more likely to leave cases unreported.

Making Sense of the Unknown

Although charts like these allow us to look at relationships between critical variables, there are no guarantees of what will come of this outbreak or any second waves.

The only certainty right now, is uncertainty. But with visualizations like this one—updated daily—we can at least stay up-to-speed with the knowledge curve.

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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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