Charts
These States Have the Cleanest Homes in the U.S.
The Oxi Fresh team has revealed the state of home cleanliness across the United States with a map ranking states by their score on the custom-made Oxi Fresh Home Cleanliness Index. Cleanliness can vary by cultural definitions and factors like busy lives can make our homes less clean than we would like. Studies have found that Americans spend about eight hours a month cleaning their homes. The team offers us a more in-depth look at the state of American cleanliness in their maps.
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The team formed the Home Cleanliness Index based on responses to survey questions. Five questions assessed how often residents perform specific cleaning tasks, like vacuuming, dusting, cleaning bathrooms, and changing bed sheets. They were also asked to rate their home’s cleanliness, the amount of clutter in their home, and how comfortable they would be with unexpected guests seeing their home in its current state. Lastly, the team asked whether residents in these states use a professional cleaning service.
These 10 states had the highest scores on the index:
- Wyoming
- Delaware
- Rhode Island
- Kansas
- Iowa
- Idaho
- Minnesota
- Arkansas
- Connecticut
- Tennessee
Wyoming residents are the cleanest, and they know it! 96% of them would be proud to have unexpected guests over who see the state of their home as it is. Wyoming homeowners deep-clean their carpets the most, mop the most, and change their bed linens the most often. It seems Wyoming homemakers prioritize cleaning and take great pride in their homes.
On the other side of the coin, these were the states with the lowest scores:
- New Hampshire
- North Carolina
- Maryland
- Maine
- Oregon
- Oklahoma
- Hawaii
- North Dakota
- Washington
- Utah
Utah had the lowest score overall at 69.76 out of 180 points. Utah residents reported the lowest scores for home cleanliness, but their data lends some credence to this. They dust, vacuum, and mop the least frequently. Utah may struggle with cleanliness due to its poor air quality. It has some of the worst air quality in the United States, with dust drifting in from the Great Salt Lake playa, as well as high emissions from gasoline vehicles and wood-burning stoves. Utah residents may feel they’re fighting a losing battle against dust, dirt, and grime and have lowered their standards.
There are many fun and interesting facts to glean from the team’s data. Delaware residents vacuum and mop the most, while Vermont residents maintain the cleanest kitchens with the highest number of kitchen counter wipe-downs. People in Iowa are the most likely to hire a professional cleaner. Arizona residents mop the least, maybe because the dry environment keeps out mud. Georgia and Arizona residents vacuum their carpets the least, but perhaps carpets and rugs aren’t as popular in these warm states. The data gathered here provide numerous opportunities to reflect on how various state factors may influence cleaning standards and norms.
Business Visualizations
Which Countries Are Winning the Digital Infrastructure Race?
The invisible digital infrastructure is all around us. It powers every bank login, online order, every text sent, and every social media update posted. Vast networks that many of us rarely think about make these actions possible. Access to the digital infrastructure shapes a population’s economic standing and it even keeps entire governments running smoothly. Therefore, it’s no surprise that some countries spend huge sums to stay competitive in the digital infrastructure sector and there are clear winners as we can see in Ooma’s new study.
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Think of this way: rather than roads and bridges, broadband networks, data centers, and cloud systems, the key to mobile connectivity is a country’s most valuable asset, which powers AI servers and social media. Advanced digital infrastructure correlates with higher GDP growth, higher productivity, a viable remote workforce, and a more digitally skilled workforce. These systems also allow faster access to government services, which can even be lifesaving since they offer quicker communication during emergencies like natural disasters.
The team’s study found 5 countries leading this digital infrastructure race. Sweden is in first place now with strong assets across the board, led by broadband subscriptions and business R&D spending. Israel is in second place with outsized venture capital relative to their GDP and heavy research funding into digital infrastructure. South Korea is in third, powered by ICT patents and top-tier broadband reach. Believe it or not, Estonia edges out the U.S. in fourth place. They’re a global digital pioneer with the most ICT investment as a share of GDP. The U.S. ranks #5, driven by digitally deliverable services and venture capital. The team used a points-based score across seven OECD measures, which include ICT investment, broadband, venture capital investment, M2M SIM cards, ICT patents, digital services trade, and business R&D.
These investments have a number of real-world impacts. In Estonia, they have nearly all their government services available online and a digital ID that can be used for everything from remote voting to public transport. Sweden has a highly developed e-commerce sector, universal household Internet connectivity, and, as a result, Stockholm is Europe’s financial hub. In Israel, the National Digital Agency and the Digital Israel initiative weave tech across education, government, and healthcare, transforming the country into a startup magnet. South Korea has one of the fastest Internet speeds globally and they dominate consumer electronics, competitive gaming, and semiconductors.
Countries investing in digital infrastructure are positioned to be world superpowers. Businesses in these countries benefit from fast communication and a digitally literate workforce. But seamless connectivity shouldn’t depend on geography. Every country and all people can benefit from a more digitally connected world, so the more countries that improve their digital infrastructure, the better. The leading countries on this chart can serve as role models while countries further down the list highlight areas for improvement and potential investment.
Charts
Study Shows Where Americans Are Most Open to Age-Gap Dating
Compatibility is usually our biggest driver in the search for a romantic partner, but it turns out that age is still a major part of that compatibility. Tawkify’s matchmaking service surveyed about 98,798 Americans over two years, asking whether they’d date someone older and younger and how far outside their own age range they’d go. The data reveal both geographic and dating patterns, with a recurring pattern: smaller dating pools push singles to date across wider age ranges.
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Wyoming tops the list of states with men willing to date outside their age range. 71.1% of Wyoming singles are willing to date an average of 11.22 years older than they are. North Dakota and Alaska also appeared in the top three. Delaware emerged as an interesting outlier. They have the largest average age gap in dating among men, at 11.26 years. 93.1% of Alaskan women are open to dating older partners, and they have the nation’s largest age gap by far at 20.57 years. West Virginia and Wyoming women follow in second and third. It seems that less-populated states show greater willingness to date outside their age range, which could be a very simple explanation. A smaller dating pool means singles widening their options.
As for willingness to date younger partners, Hawaii leads for both genders. 96.8% of Hawaiian men are willing to date someone younger, with 18.59 years as an acceptable age gap. This is the widest that appears in the study. 92% of Hawaiian women are open to dating younger, but their average age gap is only 9 years. Hawaii has an older-than-average population, with a median age of 41.5 years, so this limited island dating pool makes dating younger people more common. The runners-up for willingness to date younger were Nevada, Idaho, and Maine.
According to the data, women are dramatically more open to dating older than men are. 95% of women would date an older partner, compared with 65.7% of men. This pattern flips with dating younger. 96.5% of men would date someone much younger, with a national average age difference of 14.7 years. 88.1% of women would date younger men, but at a much smaller average age gap of 7.14 years. This shows that across the country, men tend to date younger partners, while women tend to date older partners. Women are consistently willing to tolerate a wider gap when dating up.
The team threw us a little fun fact from the Guinness Book of World Records, which lists Gertrude and John Janeway, married in 1927, as the largest spousal age gap of 63 years. Age-gap relationships can succeed but face challenges like judgment and assumptions about power dynamics and differing life stages. Strong communication, shared values, and aligned goals matter most in relationships, more than the number of years lived. Geography and gender seem to shape who Americans date, but the data also suggest that openness to age-gap romances often comes down to opportunity.
Charts
Survey Finds the Most Misheard Song Lyrics
Sometimes you confidently belt out a song and discover years later that you misheard the lyrics and sang it wrong this whole time. We’ve been there. Preply unveiled a fun, often humorous study showing the most misheard song lyrics, some of which verge on ridiculous. For example, in Manfred Mann’s “Blinded by the Light,” many people hear the lyric “revved up like deuce” as “wrapped up like a douche.” That would be an embarrassing one to unleash at karaoke. The team’s data reveals that mishearing lyrics is a predictable outcome of speed, vocabulary, and accents skewed in audio mixing.
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The article introduces us to an interesting word, “mondegreen.” This word was coined in 1954 to describe a misheard lyric that can completely change a song’s meaning. Preply lists the most common causes of mondegreen as tricky vocabulary, unfamiliar accents, sound-alike words, fast tempos, unclear pronunciation, and background music that obscures vocals. Language educators love to use mondegreens as teaching moments on the importance of pronunciation and clear vocabulary.
A chart lists the most commonly misheard lyrics. As we mentioned, Alfred Mann’s “Blinded by the Light” tops the list as the most difficult to understand. AI correctly transcribed only 61% of the lyrics, and the song earned a readability score of 85 despite the song’s even pace of 80 words per minute. Jay-Z and Alicia Keys’ “Empire State of Mind” was number two on the list. The lyrics move fast at 158 words per minute, and the most famous mishearing is a hilarious mistake. The true lyric is “concrete jungle where dreams are made, oh,” but listeners believe they’re hearing “concrete jungle, wet dream, tomato.” The third on the list is Post Malone’s “Saint Tropez.” AI failed to correctly transcribe 32% of the lyrics, and, believe it or not, the real lyrics “since fetus” appear in the song, but listeners, perhaps understandably, think the lyric is “since Phoenix.” You’ll see two famously misheard songs on the list that have been the subject of memes. A lyric from Sabrina Carpenter’s summer hit “Espresso” has an “I guess so” that listeners thought was “queso.” Taylor Swift is often misheard, too, as we can see on the chart. Everyone loves to bring up the “Starbucks lovers” from “Blank Space.” (She’s saying, “long list of ex-lovers.”)
The team’s data also revealed that Lady Gaga is one of the most difficult artists to understand. She had 306 misheard lyric submissions. She tends to use unconventional pronunciation in the song “Poker Face,” which alone ranks 81st in misheard lyric reports. Taylor Swift had 300 submissions across her extensive catalog, and Kelly Clarkson rounds up the top three most misheard artists list, with “Since U Been Gone” and “Because of You” having the most misheard lyric reports.
In general, the Preply team found that strong regional accents and faster genres like rap make individual words harder to understand. Mishearing lyrics is a normal function of our brain, filling in gaps in our understanding.
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