Healthcare
Visualizing the Growth of COVID-19 in the U.S., Organized by State Peak Date
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.
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.
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:
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.
Demographics
Charted: Global Tobacco Use by Country and Sex
This visual shows tobacco use by country and sex, highlighting which countries still have a high prevalence of smoking.
Charting Global Tobacco Use by Country and Sex
This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.
Globally, rates of tobacco use have been falling for decades. Today, it is estimated that one-in-five people around the world use tobacco products, according to data from the World Health Organization (WHO).
That’s still enough people to have a sizable impact on both global healthcare and the environment. And the prevalence of tobacco use by country, and by sex, varies widely.
This chart shows current tobacco use in selected countries around the world using WHO estimates for 2022.
Which People Smoke the Most?
Below we examine the entire dataset of global countries by 2022 tobacco use. Estimates are of people aged 15 years and older and include both smoked and smokeless tobacco (including vaping). Countries that had no data for 2022 have been omitted.
In almost every country, males use tobacco more than females. Globally, 36% of men are tobacco users compared to just 8% of women.
Country | Total Prevalence (%) | Male (%) | Female (%) |
---|---|---|---|
🇦🇫 Afghanistan | 22.1 | 38.3 | 5.9 |
🇦🇱 Albania | 22.4 | 38.7 | 6.6 |
🇩🇿 Algeria | 21.6 | 41.9 | 0.7 |
🇦🇩 Andorra | 33.6 | 33.3 | 33.8 |
🇦🇷 Argentina | 23.1 | 28.2 | 18.1 |
🇦🇲 Armenia | 22.5 | 49.3 | 1.7 |
🇦🇺 Australia | 12.5 | 14.8 | 10.3 |
🇦🇹 Austria | 22.0 | 23.7 | 20.5 |
🇦🇿 Azerbaijan | 19.3 | 39.6 | 0.1 |
🇧🇸 Bahamas | 10.7 | 20.6 | 2.1 |
🇧🇠Bahrain | 18.1 | 25.7 | 4.9 |
🇧🇩 Bangladesh | 31.1 | 48.9 | 14.2 |
🇧🇧 Barbados | 6.5 | 11.7 | 1.7 |
🇧🇾 Belarus | 27.9 | 47.2 | 12.0 |
🇧🇪 Belgium | 24.7 | 27.4 | 22.1 |
🇧🇿 Belize | 8.7 | 15.5 | 1.9 |
🇧🇯 Benin | 5.5 | 9.5 | 1.7 |
🇧🇹 Bhutan | 19.6 | 27.2 | 11.0 |
🇧🇴 Bolivia | 12.2 | 20.4 | 4.1 |
🇧🇦 Bosnia and Herzegovina | 35.1 | 41.0 | 29.5 |
🇧🇼 Botswana | 18.1 | 30.2 | 6.5 |
🇧🇷 Brazil | 12.3 | 15.7 | 9.1 |
🇧🇳 Brunei Darussalam | 17.1 | 31.3 | 2.2 |
🇧🇬 Bulgaria | 34.0 | 38.1 | 30.2 |
🇧🇫 Burkina Faso | 13.5 | 21.7 | 5.5 |
🇧🇮 Burundi | 10.0 | 15.2 | 5.0 |
🇨🇻 Cabo Verde | 10.5 | 16.2 | 5.0 |
🇰🇠Cambodia | 16.1 | 27.3 | 5.5 |
🇨🇲 Cameroon | 5.6 | 10.2 | 1.1 |
🇨🇦 Canada | 11.4 | 13.7 | 9.2 |
🇹🇩 Chad | 6.8 | 12.3 | 1.4 |
🇨🇱 Chile | 28.2 | 30.6 | 25.8 |
🇨🇳 China | 24.9 | 47.3 | 2.0 |
🇨🇴 Colombia | 8.2 | 12.1 | 4.5 |
🇰🇲 Comoros | 16.2 | 26.2 | 6.2 |
🇨🇬 Congo | 15.0 | 28.2 | 2.0 |
🇨🇰 Cook Islands | 25.5 | 30.3 | 21.4 |
🇨🇷 Costa Rica | 8.8 | 13.2 | 4.5 |
🇨🇮 Cöte d'Ivoire | 8.6 | 16.4 | 0.7 |
ðŸ‡ðŸ‡· Croatia | 32.6 | 34.2 | 31.1 |
🇨🇺 Cuba | 18.5 | 26.9 | 10.4 |
🇨🇾 Cyprus | 34.0 | 46.0 | 22.1 |
🇨🇿 Czechia | 27.5 | 31.7 | 23.3 |
🇨🇩 Democratic Republic of the Congo | 11.1 | 19.9 | 2.6 |
🇩🇰 Denmark | 16.2 | 16.4 | 16.0 |
🇩🇴 Dominican Republic | 10.2 | 14.0 | 6.5 |
🇪🇨 Ecuador | 10.1 | 17.6 | 2.6 |
🇪🇬 Egypt | 24.7 | 48.9 | 0.3 |
🇸🇻 El Salvador | 8.3 | 15.6 | 1.9 |
🇪🇪 Estonia | 25.6 | 32.9 | 19.1 |
🇸🇿 Eswatini | 8.6 | 16.2 | 1.4 |
🇪🇹 Ethiopia | 4.6 | 7.8 | 1.4 |
🇫🇯 Fiji | 27.3 | 41.7 | 13.1 |
🇫🇮 Finland | 19.6 | 23.9 | 15.4 |
🇫🇷 France | 29.2 | 31.3 | 27.3 |
🇬🇲 Gambia | 9.6 | 18.7 | 0.6 |
🇬🇪 Georgia | 29.0 | 54.7 | 7.1 |
🇩🇪 Germany | 18.8 | 21.3 | 16.4 |
🇬🇠Ghana | 3.1 | 5.9 | 0.3 |
🇬🇷 Greece | 29.6 | 33.1 | 26.3 |
🇬🇹 Guatemala | 12.0 | 22.7 | 1.7 |
🇬🇼 Guinea-Bissau | 7.5 | 14.8 | 0.6 |
🇬🇾 Guyana | 10.5 | 19.3 | 2.2 |
ðŸ‡ðŸ‡¹ Haiti | 7.3 | 12.6 | 2.3 |
ðŸ‡ðŸ‡³ Honduras | 12.2 | 22.7 | 1.7 |
ðŸ‡ðŸ‡º Hungary | 29.4 | 34.7 | 24.5 |
🇮🇸 Iceland | 9.4 | 9.4 | 9.4 |
🇮🇳 India | 23.9 | 36.8 | 10.4 |
🇮🇩 Indonesia | 38.5 | 73.6 | 3.4 |
🇮🇷 Iran (Islamic Republic of) | 13.9 | 24.8 | 3.1 |
🇮🇶 Iraq | 18.7 | 36.0 | 1.6 |
🇮🇪 Ireland | 18.2 | 20.5 | 16.1 |
🇮🇱 Israel | 19.8 | 26.4 | 13.3 |
🇮🇹 Italy | 20.4 | 24.1 | 16.8 |
🇯🇲 Jamaica | 9.5 | 15.8 | 3.5 |
🇯🇵 Japan | 16.8 | 26.5 | 7.7 |
🇯🇴 Jordan | 36.3 | 57.8 | 13.4 |
🇰🇿 Kazakhstan | 21.7 | 38.2 | 6.9 |
🇰🇪 Kenya | 9.2 | 16.6 | 2.1 |
🇰🇮 Kiribati | 38.2 | 51.6 | 25.7 |
🇰🇼 Kuwait | 22.7 | 35.6 | 2.1 |
🇰🇬 Kyrgyzstan | 26.4 | 51.3 | 3.3 |
🇱🇦 Lao People's Democratic Republic | 25.8 | 43.2 | 8.4 |
🇱🇻 Latvia | 30.3 | 45.6 | 17.2 |
🇱🇧 Lebanon | 34.0 | 43.1 | 25.7 |
🇱🇸 Lesotho | 22.9 | 42.0 | 4.8 |
🇱🇷 Liberia | 7.1 | 12.5 | 1.7 |
🇱🇹 Lithuania | 27.9 | 40.1 | 17.3 |
🇱🇺 Luxembourg | 21.8 | 23.3 | 20.3 |
🇲🇬 Madagascar | 25.7 | 41.7 | 9.9 |
🇲🇼 Malawi | 7.1 | 13.0 | 1.7 |
🇲🇾 Malaysia | 22.6 | 43.8 | 0.7 |
🇲🇻 Maldives | 29.3 | 43.6 | 10.1 |
🇲🇱 Mali | 7.6 | 14.4 | 0.7 |
🇲🇹 Malta | 23.2 | 25.5 | 20.6 |
🇲🇠Marshall Islands | 30.4 | 51.8 | 8.6 |
🇲🇷 Mauritania | 9.4 | 17.2 | 2.0 |
🇲🇺 Mauritius | 20.0 | 38.1 | 2.8 |
🇲🇽 Mexico | 14.6 | 23.1 | 6.9 |
🇲🇳 Mongolia | 29.3 | 52.6 | 7.3 |
🇲🇪 Montenegro | 32.1 | 30.9 | 33.2 |
🇲🇦 Morocco | 13.1 | 25.3 | 1.0 |
🇲🇲 Myanmar | 43.9 | 69.4 | 19.2 |
🇳🇦 Namibia | 12.5 | 21.3 | 4.7 |
🇳🇷 Nauru | 49.5 | 50.3 | 48.7 |
🇳🇵 Nepal | 24.9 | 42.7 | 9.4 |
🇳🇱 Netherlands (Kingdom of the) | 20.1 | 22.5 | 17.7 |
🇳🇿 New Zealand | 11.4 | 12.7 | 10.2 |
🇳🇪 Niger | 7.7 | 14.0 | 1.3 |
🇳🇬 Nigeria | 2.9 | 5.4 | 0.4 |
🇳🇴 Norway | 14.0 | 14.8 | 13.2 |
🇴🇲 Oman | 11.0 | 17.4 | 0.4 |
🇵🇰 Pakistan | 16.9 | 27.7 | 6.2 |
🇵🇼 Palau | 17.0 | 26.3 | 7.3 |
🇵🇦 Panama | 5.1 | 8.4 | 1.9 |
🇵🇬 Papua New Guinea | 40.4 | 55.4 | 24.9 |
🇵🇾 Paraguay | 10.6 | 17.4 | 3.8 |
🇵🇪 Peru | 7.0 | 11.6 | 2.6 |
🇵🇠Philippines | 20.4 | 36.2 | 4.3 |
🇵🇱 Poland | 23.2 | 27.6 | 19.1 |
🇵🇹 Portugal | 20.9 | 27.1 | 15.5 |
🇶🇦 Qatar | 18.8 | 24.6 | 2.3 |
🇰🇷 Republic of Korea | 18.9 | 32.7 | 5.4 |
🇲🇩 Republic of Moldova | 27.8 | 52.7 | 6.3 |
🇷🇴 Romania | 27.5 | 37.4 | 18.5 |
🇷🇺 Russian Federation | 27.2 | 42.0 | 14.8 |
🇷🇼 Rwanda | 12.0 | 17.7 | 6.7 |
🇱🇨 Saint Lucia | 13.6 | 24.8 | 3.0 |
🇼🇸 Samoa | 22.2 | 31.0 | 13.2 |
🇸🇹 Sao Tome and Principe | 7.1 | 12.6 | 1.8 |
🇸🇦 Saudi Arabia | 17.4 | 28.4 | 2.1 |
🇸🇳 Senegal | 6.0 | 11.7 | 0.6 |
🇷🇸 Serbia | 36.6 | 38.8 | 34.6 |
🇸🇨 Seychelles | 20.8 | 34.6 | 5.7 |
🇸🇱 Sierra Leone | 11.4 | 17.3 | 5.5 |
🇸🇬 Singapore | 16.4 | 27.9 | 4.0 |
🇸🇰 Slovakia | 30.2 | 35.4 | 25.4 |
🇸🇮 Slovenia | 18.1 | 20.2 | 15.9 |
🇸🇧 Solomon Islands | 37.6 | 55.3 | 19.6 |
🇿🇦 South Africa | 20.3 | 35.1 | 6.5 |
🇪🇸 Spain | 24.9 | 27.5 | 22.5 |
🇱🇰 Sri Lanka | 19.1 | 37.8 | 2.4 |
🇸🇪 Sweden | 22.1 | 28.3 | 15.9 |
🇨🇠Switzerland | 23.3 | 26.3 | 20.4 |
🇹🇠Thailand | 18.9 | 37.7 | 1.8 |
🇹🇱 Timor-Leste | 37.6 | 64.5 | 9.8 |
🇹🇬 Togo | 5.6 | 10.2 | 0.9 |
🇹🇴 Tonga | 30.7 | 46.8 | 15.5 |
🇹🇳 Tunisia | 20.1 | 39.7 | 1.6 |
🇹🇷 Türkiye | 30.7 | 41.9 | 19.6 |
🇹🇲 Turkmenistan | 5.4 | 10.6 | 0.5 |
🇹🇻 Tuvalu | 33.8 | 48.3 | 19.0 |
🇺🇬 Uganda | 5.3 | 9.0 | 1.8 |
🇺🇦 Ukraine | 22.0 | 38.3 | 8.5 |
🇦🇪 United Arab Emirates | 11.7 | 15.5 | 2.5 |
🇬🇧 United Kingdom | 13.1 | 15.0 | 11.4 |
🇹🇿 United Republic of Tanzania | 7.5 | 13.1 | 2.2 |
🇺🇸 United States of America | 23.0 | 28.6 | 17.5 |
🇺🇾 Uruguay | 19.3 | 23.0 | 16.0 |
🇺🇿 Uzbekistan | 16.2 | 31.8 | 1.0 |
🇻🇳 Viet Nam | 22.8 | 44.3 | 2.2 |
🇾🇪 Yemen | 20.8 | 33.7 | 7.9 |
🇿🇲 Zambia | 12.0 | 21.8 | 2.7 |
🇿🇼 Zimbabwe | 9.2 | 19.0 | 0.8 |
From a regional perspective, we can see many countries in Europe and Asia have higher rates of tobacco use. Indonesia and Myanmar specifically have some of the highest tobacco use rates in the world, with 73.6% of Indonesian men estimated to smoke or use tobacco.
In many Asian countries we also see a greater difference between male and female smokers compared to the rest of the world. In China for example, 47.3% of males are estimated to use tobacco compared to just 2.0% of females.
On the other hand, the Americas and especially Africa have a lower prevalence of tobacco use. Nigeria at 2.9% had the lowest rate of tobacco use in the world in 2022.
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