Charts
Study Analyzes Kindergarten Measles Vaccination Gaps Across America
As of April 2025, there have been 16 measles outbreaks in the United States, a number that has jumped significantly over the past few years. A new study from PA Requirements shows this has a connection to vaccination gaps. Kindergarten vaccinations help protect citizens against diseases like measles and contribute to our population achieving herd immunity, which eradicates the threat of the disease. However, the team’s study reveals that a combination of policy, vaccine access, and community factors is hindering our progress toward this goal.
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The team found that these states had the highest percentage of children not vaccinated for measles:
- Idaho: 20.4%
- Alaska: 15.7%
- Wisconsin: 15.2%
- Minnesota: 13.0%
- Florida: 11.9%
- Oklahoma: 11.7%
- Colorado: 11.7%
- Utah: 11.2%
- Iowa: 10.9%
- Ohio: 10.8%
It can be useful to compare these numbers to the states with the lowest rates of unvaccinated children:
- West Virginia: 1.7%
- New York: 2.3%
- Connecticut: 2.3%
- Mississippi: 2.5%
- Maine: 2.5%
- Rhode Island: 2.9%
- Maryland: 3.4%
- Massachusetts: 3.7%
- California: 3.8%
We can observe some interesting regional patterns by examining the map, such as lower vaccination rates in the Midwest and Southwest.
Among the states with high rates of vaccination, we find that these five states don’t allow non-medical vaccination exemptions: Maine, New York, West Virginia, Connecticut, and California. It’s no surprise that stricter policies lead to a greater number of vaccinations. Among states with lower rates, we find more relaxed laws that allow for greater exemptions on the basis of religion, philosophy, and other personal reasons. Comparing each state to its neighbors reveals patterns and trends that might imply cultural differences affecting vaccination rates in different regions. We can look for locations with a high prevalence of religions that outlaw vaccines to identify reasons for the numbers on the map. Check the numbers on the states with the largest cities, and you might find stricter vaccination laws there to help prevent disease spread in population-dense areas.
There’s no doubt that state policies correlate directly with vaccination rates when we look at the numbers presented on the team’s graphic. Many states require certain vaccinations, like measles, in order to enroll in public school. These laws and requirements also directly impact vaccination rates. Looking at insurance costs and access to vaccine clinics in rural areas may also reveal why some areas have more unvaccinated children than others. Some states have created initiatives to encourage vaccination and provide education, leading to higher vaccination rates.
Overall, studies like these greatly benefit public health by increasing awareness and education about diseases like measles. People who shy away from vaccines often find them untrustworthy. The only way to convince them otherwise is to answer their questions and present them with transparent data that’s easy to understand, just like the information shown in this graphic, regarding the risks associated with declining vaccines. These studies provide policymakers, parents, and public health officials with more information to make informed decisions for the health of their children and communities.
Charts
Study Shows Worldwide Opinions on AI Use
Artificial intelligence has infiltrated our everyday lives thanks to text generative applications. From huge corporations to individual users chatting on their smartphones, AI companies have developed ways to use AI in countless aspects of life. It has the potential to make huge, important leaps in technological progress, but it also comes with a host of concerns and dangers. The team at Qualtrics shows us the many different opinions on AI by mapping out opinions across the world. Their map shows us the percentage of people in each country who think AI has more benefits than drawbacks and vice versa.
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AI is gaining popularity around the world. People are using it at work to automate simple, repetitive tasks, speeding up their processes. It performs well as a data analyst and excels at the most mundane tasks, so many workers feel freed up to use their time and energy on more rewarding, nuanced work that requires creativity. AI can even identify the early stages of disease, allowing overloaded doctors to use it to assist them and process more patients. Many people in the healthcare field hope it will help with new discoveries and medical progress. AI has long been used in smart homes responding to requests to adjust the thermostat, start up a sound system, and monitor security.
Alongside the exciting possibilities AI offers, there are many concerns. AI has been used to create deep fakes, spread misinformation, and displace workers. People fear it could drastically disrupt the economy, and when some countries are considering using it as warfare, it’s natural for major fears to follow. Another major AI concern is resource constraints. Environmentalists have pointed to the heat AI data centers produce and the absolutely massive amount of water they consume to keep them cool.
How do these viewpoints vary around the world? According to the team’s data, China holds the most trust in AI, with 83% believing it brings more benefits than drawbacks. They’re closely followed by Indonesia at 80% and Thailand at 77%. Western European countries seem to be the most hesitant to embrace AI. 47% of German respondents believe AI will do more harm than good, followed by 41% in France and 36% in the Netherlands. This is a less-than-50 % approval rating. The United States has a 39% AI approval rating, but trust in AI there has risen by 4% in the past few years. This is a bit of a surprise, as American companies are leading AI development. This could be due to reports of data centers in the US disrupting neighborhood health and peace.
This map is a fascinating way to examine the rapidly changing world of AI through the lens of public opinion. Confidence in AI seems to be growing, but many unknowns remain regarding its effects on society and health. While some fear it may replace them at their job, others are hopeful that it will make work and life better.
Charts
Which States Cause the Most Damage to Your Car?
Car damage can occur for several reasons, and we’re all vulnerable to it at any time or place. Weather events are a huge factor in vehicle wear and tear. Hail can be a death sentence for your car, and intense UV radiation and heat can gradually destroy your car’s interior and paint job. Areas that must salt roads in winter do so to keep us safe on the road, but unfortunately, salt also damages cars and breaks down roads, leaving behind dangerous potholes. The Grease Monkey researchers took all these factors and considered them together to create a ranking system to show us the states that do the most damage to cars. Each state in the U.S. is ranked based on the severity of vehicle risk and deterioration.
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The team notes that hail was one of the most significant factors in their weather analysis. The size of hailstones will determine the damage, and areas with more frequent hailstorms will increase the likelihood of significant damage, such as cracked windows and broken headlights. Snowfall, ice, and sleet also greatly increase the risk of car damage. Frozen mechanical parts are more likely to break, and icy road conditions lead to dangerous crashes. Humid weather in general leads to more rust, so frequent rainfall and salty coastal air can take a slow toll as well. Natural disasters like floods and tornadoes can destroy a vehicle, so the team counted how many of these events each state has experienced since 1953.
Poor roads were another important factor in the team’s analysis. They counted the total percentage of a state’s roads considered to be in “acceptable” condition. Potholes, rough roads, and debris wreck tires, rims, and undercarriage components. Bad roads often have loose rocks that can kick up to shatter a windshield or dent a car’s body. The team found that the states with the worst roads are Rhode Island, Hawaii, New Mexico, Connecticut, and Mississippi. The states with the highest percentage of roads in good condition are Indiana, Kansas, South Dakota, Wyoming, and Vermont.
Combining all of these factors, the Grease Monkey analysis shows us that these ten states will cause the most damage to a car:
– Texas
– Mississippi
– New York
– Delaware
– Oklahoma
– Missouri
– Minnesota
– Kansas
– West Virginia
– North Dakota
This map can help drivers determine what factors are most likely to damage their car based on where they live. While we can’t do much to affect the quality of a state’s roads, it’s a good reminder to be vigilant and slow down for potholes. Heat damage to a car’s interior can be prevented with a sunscreen in the windshield. Building a garage can help protect your car from hail, snow, ice, and rain. Defensive driving will help you to be safe from accidents. People figuring out a car-buying budget can also consider these factors, which drive up insurance premiums.
Business Visualizations
Key Statistics Help Us Understand Customer Churn
Customers have an abundance of choice in all industries these days. When customers switch to a new option, companies call this “customer churn.” Customer churn can be a major detriment to business. In nearly every industry, loyal repeat customers can make or break a business. The team at Qualtrics helps us understand the state of customer churn in the past year with 30 key statistics illustrating the landscape. They took a well-rounded approach to their research, using facts that reveal how many customers are leaving, which industries have high churn, and other factors that help us understand why customer churn happens and how to prevent it.
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Customer churn gives businesses a way to quantify how well they’re retaining customers. Churn rate is calculated by dividing the number of customers lost over a set period of time by the total number of customers at the start of that period. This calculation yields the number of customers who didn’t return to do business. High churn rates often signal poor retention strategies or a mismatch between what customers expected and received. We can’t underestimate competitor appeal, though. The team’s data shows that 71% of businesses list price increases as their number one reason for losing customers.
The data make it clear that churn rates vary widely across industries. 61% of retail companies say churn rates are one of the biggest challenges in their quest for success. This could be due to the high level of competition and vastly different prices found in the retail sector. Financial, cable, and credit companies experience high churn rates too, around 25%. We can conclude that spending and saving may have the greatest impact on churn, based on industry rates. The big-box electronics industry only has an 11% churn rate, possibly due to fewer choices, but it may have stronger brand loyalty. For example, you’ll rarely see an X-Box fan make the switch to PlayStation. Speaking of the gaming space, apps don’t enjoy the same low churn rate as consoles might. With a 27.7% churn rate, many people give up on gaming apps and try something new after 30 days.
Data might point the way to solutions to reduce customer churn. We can see subscription-based companies with an exceptionally low churn rate of 3.27%. Software and business subscriptions have lower churn rates than digital media and entertainment subscriptions, but they are still among the lowest we’re seeing. A subscription-based service works hard to keep its subscribers, so maybe other types of businesses could learn something from its strategies. For example, social media apps have an enormous churn rate of 93.3% over 24 months. It’s clear that whatever value customers hoped to get from the platform didn’t materialize.
This information-rich graphic leaves us with a lot to think about. By comparing churn rates across industries, we can reflect on key differences that affect these numbers. Perhaps the most important statistic to hold on to is that U.S. companies could save over $35 billion per year by reducing their churn rates.
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