3 affordable Houston neighbors rank among America's 10 safest cities

HIGH PRAISE FOR THE 'BURBS

League City, Sugar Land, and Pearland were just crowned among the top 10 safest and most affordable cities to live in the U.S. Photo via Getty Images

Crime may be a concern for some Houstonians, but life is a little more relaxed just beyond the city limits.

Three Houston-area suburbs – League City, Sugar Land, and Pearland – were just crowned among the top 10 safest and most affordable cities to live in the U.S., as declared in a new report by GoBankingRates.

The study, "50 Safest and Most Affordable US Cities To Live In," ranked the largest U.S. cities by population based on their cost of living and crime rate averages. Crime rates were determined based on the number of crimes per 1,000 city residents from the FBI’s Crime Data Explorer in 2022, the year with the most recent available data.

League City proudly landed in the No. 4 spot nationally, thanks to its low property and violent crime rates as well as a high median household income. Sugar Land and Pearland weren't too far behind in the top 10, ranking No. 6 and No. 7, respectively. The report emphasized these suburbs all offer "vibrant cultural scenes" and strong job markets for adults, along with great schools and abundant recreational activities for families to enjoy.

A League City household makes a median income of $117,316 annually, with an average mortgage cost of $2,216 per month, the report found. The total monthly cost of living in the family friendly city adds up to $4,157.

There were a total of 1,497 property crimes reported in the city in 2022, and 126 total violent crimes. For context, the U.S. Census Bureau estimated the population in League City spans more than 116,000 residents in 2023. That means the city's rate for violent crimes is 1.08 per 1,000 residents, and the property crime rate is 12.85 per 1,000 residents, according to the findings.

Sugar Land's median household income is much higher than League City's, at $132,247 per year. However, so were the average mortgage costs ($2,715 per month) and total monthly cost of living ($4,852).

There were 1,745 property crimes and 97 violent crimes reported in Sugar Land in 2022. That would place Sugar Land's property crime rate at 16.16 per 1,000 city residents, and 0.90 violent crimes per 1,000 residents.

Here's how the report breaks down Pearland's cost of living and crime rate statistics:

  • Median household income: $111,123
  • Household average mortgage cost: $2,257
  • Total monthly cost of living: $4,352
  • Property crimes (reported in 2022): 2,152
  • Property crime per 1,000 residents: 17.09
  • Violent crimes (reported in 2022): 117
  • Violent crime per 1,000 residents: .93

Large Texas cities, such as Houston proper, Dallas, Fort Worth, Austin, and San Antonio, were all noticeably absent in the ranking. This is likely because – as most Texans are aware – bigger cities often have higher crime rates and higher costs of living than their outlying suburbs.

"Choosing a family-friendly place to live is a significant decision that involves a balancing act between safety and affordability in any big city," the report said. "Whether you’re a young professional, a growing family or a retiree, finding real estate where you feel comfortable — both physically and financially — is crucial for a high quality of life."

Other Texas cities that were ranked in the top 25 safest and most affordable places to live include El Paso (No. 11), McKinney (No. 15), Frisco (No. 16), Laredo (No. 18), Grand Prairie (No. 21), Plano (No. 22), Carrollton (No. 23), and McAllen (No. 24).

The top 10 safest and most affordable U.S. cities to live in are:

  • No. 1 – Elgin, Illinois
  • No. 2 – Cary, North Carolina
  • No. 3 – Gilbert, Arizona
  • No. 4 – League City, Texas
  • No. 5 – Rochester, Minnesota
  • No. 6 – Sugar Land, Texas
  • No. 7 – Pearland, Texas
  • No. 8 – Meridian, Idaho
  • No. 9 – Broken Arrow, Oklahoma
  • No. 10 – Olathe, Kansas
The full report and its methodology can be found on gobankingrates.com

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This article originally ran on CultureMap.

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Houston doctor wins NIH grant to test virtual reality for ICU delirium

Virtual healing

Think of it like a reverse version of The Matrix. A person wakes up in a hospital bed and gets plugged into a virtual reality game world in order to heal.

While it may sound far-fetched, Dr. Hina Faisal, a Houston Methodist critical care specialist in the Department of Surgery, was recently awarded a $242,000 grant from the National Institute of Health to test the effects of VR games on patients coming out of major surgery in the intensive care unit (ICU).

The five-year study will focus on older patients using mental stimulation techniques to reduce incidences of delirium. The award comes courtesy of the National Institute on Aging K76 Paul B. Beeson Emerging Leaders Career Development Award in Aging.

“As the population of older adults continues to grow, the need for effective, scalable interventions to prevent postoperative complications like delirium is more important than ever,” Faisal said in a news release.

ICU delirium is a serious condition that can lead to major complications and even death. Roughly 87 percent of patients who undergo major surgery involving intubation will experience some form of delirium coming out of anesthesia. Causes can range from infection to drug reactions. While many cases are mild, prolonged ICU delirium may prevent a patient from following medical advice or even cause them to hurt themselves.

Using VR games to treat delirium is a rapidly emerging and exciting branch of medicine. Studies show that VR games can help promote mental activity, memory and cognitive function. However, the full benefits are currently unknown as studies have been hampered by small patient populations.

Faisal believes that half of all ICU delirium cases are preventable through VR treatment. Currently, a general lack of knowledge and resources has been holding back the advancement of the treatment.

Hopefully, the work of Faisal in one of the busiest medical cities in the world can alleviate that problem as she spends the next half-decade plugging patients into games to aid in their healing.

New accelerator joins the Ion and more Houston innovation news to know

Trending News

Editor's note: The Houston innovation scene is buzzing with big news this month, from a new accelerator joining the fold at the Ion to pre-IPO funding and national expansion plans. Below are the five most-read InnovationMap stories from Feb. 1-15, 2026:

New accelerator for AI startups to launch at Houston's Ion this spring

The new AI Native Dual-Use Sports, Health & Wellness Accelerator is expected to launch in March. Photo courtesy of the Ion

The Collectiv Foundation and Rice University have established a sports, health and wellness startup accelerator at the Ion District’s Collectiv, a sports-focused venture capital platform. The AI Native Dual-Use Sports, Health & Wellness Accelerator is scheduled to formally launch in March. Continue reading.

10+ can't-miss Houston business and innovation events in February

From recurring monthly favorites to the return of annual celebrations and summits, here's what not to miss in February. Photo courtesy the Ion.

February may be a short month, but its event calendar isn’t. From recurring monthly favorites to the return of annual celebrations and summits, here are the Houston business and innovation events not to miss — and how to register. Continue reading.

Houston lab-test startup seeks $1M for nationwide expansion

Jim Gebhart, founder and CEO of TheLabCafe.com. Courtesy photo.

Health care industry veteran Jim Gebhart knew there had to be a better way for patients to access lab services, especially those with high health insurance deductibles or no insurance at all. Continue reading.

Houston wearable biosensing company closes $13M pre-IPO round

Wellysis is known for its continuous ECG/EKG monitor with AI reporting, known as the S-Patch. Photo via wellysis.com.

Wellysis, a Seoul, South Korea-headquartered wearable biosensing company with its U.S. subsidiary based in Houston, has closed a $13.5 million pre-IPO funding round and plans to expand its Texas operations. Continue reading. Continue reading.

Texas booms as No. 3 best state to start a business right now

Texas is rebounding in a report of the best states to start a business. Photo via Getty Images

High employment growth and advantageous entrepreneurship rates have led Texas into a triumphant No. 3 spot in WalletHub's ranking of "Best and Worst States to Start a Business" for 2026. Continue reading.

Houston scientists develop breakthrough AI-driven process to design, decode genetic circuits

biotech breakthrough

Researchers at Rice University have developed an innovative process that uses artificial intelligence to better understand complex genetic circuits.

A study, published in the journal Nature, shows how the new technique, known as “Combining Long- and Short-range Sequencing to Investigate Genetic Complexity,” or CLASSIC, can generate and test millions of DNA designs at the same time, which, according to Rice.

The work was led by Rice’s Caleb Bashor, deputy director for the Rice Synthetic Biology Institute and member of the Ken Kennedy Institute. Bashor has been working with Kshitij Rai and Ronan O’Connell, co-first authors on the study, on the CLASSIC for over four years, according to a news release.

“Our work is the first demonstration that you can use AI for designing these circuits,” Bashor said in the release.

Genetic circuits program cells to perform specific functions. Finding the circuit that matches a desired function or performance "can be like looking for a needle in a haystack," Bashor explained. This work looked to find a solution to this long-standing challenge in synthetic biology.

First, the team developed a library of proof-of-concept genetic circuits. It then pooled the circuits and inserted them into human cells. Next, they used long-read and short-read DNA sequencing to create "a master map" that linked each circuit to how it performed.

The data was then used to train AI and machine learning models to analyze circuits and make accurate predictions for how untested circuits might perform.

“We end up with measurements for a lot of the possible designs but not all of them, and that is where building the (machine learning) model comes in,” O’Connell explained in the release. “We use the data to train a model that can understand this landscape and predict things we were not able to generate data on.”

Ultimately, the researchers believe the circuit characterization and AI-driven understanding can speed up synthetic biology, lead to faster development of biotechnology and potentially support more cell-based therapy breakthroughs by shedding new light on how gene circuits behave, according to Rice.

“We think AI/ML-driven design is the future of synthetic biology,” Bashor added in the release. “As we collect more data using CLASSIC, we can train more complex models to make predictions for how to design even more sophisticated and useful cellular biotechnology.”

The team at Rice also worked with Pankaj Mehta’s group in the department of physics at Boston University and Todd Treangen’s group in Rice’s computer science department. Research was supported by the National Institutes of Health, Office of Naval Research, the Robert J. Kleberg Jr. and Helen C. Kleberg Foundation, the American Heart Association, National Library of Medicine, the National Science Foundation, Rice’s Ken Kennedy Institute and the Rice Institute of Synthetic Biology.

James Collins, a biomedical engineer at MIT who helped establish synthetic biology as a field, added that CLASSIC is a new, defining milestone.

“Twenty-five years ago, those early circuits showed that we could program living cells, but they were built one at a time, each requiring months of tuning,” said Collins, who was one of the inventors of the toggle switch. “Bashor and colleagues have now delivered a transformative leap: CLASSIC brings high-throughput engineering to gene circuit design, allowing exploration of combinatorial spaces that were previously out of reach. Their platform doesn’t just accelerate the design-build-test-learn cycle; it redefines its scale, marking a new era of data-driven synthetic biology.”

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