Texas still ranks as No. 1 in U.S. for inbound moves, but growth dips

by the numbers

Texas added 76,000 out-of-state residents in 2024, according to a new report. Photo via Unsplash

Texas continues to be the country’s No. 1 magnet for newcomers from other states, giving a boost to the state’s economy. However, Texas’ appeal weakened in 2024 compared with the previous year, due in large part to spiking home prices.

An analysis of U.S. Census Bureau data by self-storage platform StorageCafe shows Texas saw net interstate migration of 76,000 people in 2024. Texas’ net interstate migration dropped nearly 50 percent from 2023, according to the analysis. Net migration refers to the number of incoming residents minus the number of outgoing residents.

California remained the top source of newcomers for Texas, sending nearly 77,000 residents to the Lone Star State in 2024, the analysis says. Florida ranked second, followed by New York, Colorado and Illinois.

“These trends reveal Texas’ continued pull from both high-cost coastal markets and other large Sun Belt states, resulting in a mix of affordability-driven and job-driven relocation,” StorageCafe says.

Putting a damper on the influx of new residents: a roughly 124 percent surge in Texas home prices over the past decade, according to StorageCafe.

“While the state remains significantly more affordable than California, its top feeder state, the once-wide pricing gap has narrowed,” says StorageCafe. “For many movers, Texas is still a relative bargain, but no longer an undisputed one.”

Nonetheless, Texas keeps attracting young, highly educated people, which bodes well for the state’s long-term economic outlook, StorageCafe says. More than half of new arrivals to Texas in 2024 held at least a bachelor’s degree, and the age of newcomers averaged 32.

Where are most of these young, highly educated newcomers settling?

Lloyd Potter, former Texas state demographer, tells StorageCafe that population growth in Texas is happening most rapidly in suburban “ring counties” at the expense of slowing growth in urban cores. Ring counties are on the outskirts of major metro areas.

“Many people are moving from urban cores to suburban rings seeking lower costs, newer housing, better schools, and more space,” Potter says. “Typically, a move to a suburban county will be within commuting or hybrid‑commuting distance of major metro economies.”

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Based on recent population growth figures, you should probably get ready for more traffic. Photo courtesy of TxDOT

Texas population is barreling toward eye-popping milestone in 2022

growth spurt

Texas is edging closer to a milestone — a population of 30 million.

Estimates released December 21 by the U.S. Census Bureau show the population of Texas grew 1.1 percent between July 1, 2020, and July 1, 2021. During that period, the state added 310,288 residents, going from 29,217,653 to 29,527,941. The tally takes into account births, deaths, people moving to Texas, and people moving out of Texas.

Texas ranked first among the states for the number of residents added from 2020 to 2021, which worked out to 850 new residents per day, and seventh for percentage growth. At 2.9 percent, Idaho ranked first for percentage growth.

If Texas maintains a year-to-year growth rate of at least 1.1 percent, the state might break the 30 million mark sometime in 2022. Driving the state’s continued population explosion are people of color, who’ve made up 91 percent of new Texas residents in the 21st century, according to The Texas Tribune.

Lloyd Potter, the state demographer, says it’s conceivable that Texas could be home to 30 million residents in 2022.

“However, our rate of growth has slowed noticeably between 2020 and 2021, with lower fertility, higher mortality, and less international migration. If we add the same number of people estimated to have been added between 2020 and 2021, then it looks like we’ll come up a bit short of 30 million in 2022,” Potter says.

Throughout the country, the COVID-19 pandemic helped drag down population growth from July 2020 to July 2021. The U.S. population rose just 0.1 percent during that period — the smallest one-year increase since the nation was founded.

“Population growth has been slowing for years because of lower birth rates and decreasing net international migration, all while mortality rates are rising due to the aging of the nation’s population,” Kristie Wilder, a demographer at the Census Bureau, says in a news release. “Now, with the impact of the COVID-19 pandemic, this combination has resulted in a historically slow pace of growth.”

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This article originally ran on CultureMap.

Nearly 4 million people became Texans in the past decade. Courtesy photo

Texas explodes with 16 percent surge in population, new census data shows

Growth spurt

Texas' population swelled so much from 2010 to 2020 that it essentially swallowed a state the size of Oklahoma.

Figures released April 26 by the U.S. Census Bureau show Texas gained 3,999,944 residents from April 2010 to April 2020. By comparison, the entire population of Oklahoma totaled 3,959,353 in April 2020. Those nearly 4 million new residents brought Texas' population to 29,145,505 as of April 2020.

Buoyed by a spike in the Hispanic population and an influx of out-of-state and international arrivals, Texas led the nation for the sheer number of residents added from the every-10-years headcount in 2010 to the headcount in 2020. Florida ranked second in that category (2,736,877), and California ranked third (2,284,267).

"The growth for Texas was a little bit slower than expected, which may be a function of lower fertility rates post-Great Recession and slower international migration," Lloyd Potter, the Texas state demographer, tells CultureMap.

California still remains the biggest state as measured by population (39,538,223). However, the Quartz news website reported in 2019 that Texas' population could surpass California's by 2045.

Meanwhile, Texas holds the No. 3 position for percentage population growth from 2010 to 2020, according to Census Bureau data. The state's population shot up by 15.9 percent during that period, behind only Utah (18.4 percent) and Idaho (17.3 percent). By contrast, California saw its population climb by just 6.1 percent from 2010 to 2020.

As a result of population shifts across the country, Texas will pick up two seats in the U.S. House, bringing its total to 38, the Census Bureau says. Five states will add one seat each: Colorado, Florida, Montana, North Carolina, and Oregon. Seven states will lose one seat each: California, Illinois, Michigan, New York, Ohio, Pennsylvania, and West Virginia.

Based on earlier population estimates, experts had expected Texas to tack on three congressional seats following the 2020 Census. But Potter says Texas' growth relative to population changes in other states pared the Lone Star State's final tally to two more seats.

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This article originally ran on CultureMap.

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Houston college joins inaugural workforce accelerator supported by Google

hands-on training

Houston City College (HCC) is one of 15 community colleges from around the country to be selected for the first-ever Workforce Futures Accelerator.

The three-year effort is supported by Google.org, the tech company’s philanthropic arm, and led by the Association of Community College Trustees (ACCT), a non-profit educational organization that represents over 500 community, junior, and technical colleges. The accelerator focuses on helping colleges embed virtual, employer-sponsored training opportunities into short-term workforce training programs, giving participants access to opportunities that they might otherwise receive through internships or other "work-based learning" stints.

"The Workforce Futures Accelerator reflects the Houston City College mission of offering a high-quality, affordable education for workforce training and career development," Pretta VanDible Stallworth, HCC trustee and chair-elect of the ACCT board of directors, said in a news release. "Advancing student success and creating pathways to opportunities ensures that our students are well equipped to succeed and build a secure future in today's economy.”

Through the accelerator, HCC is tasked with fusing online project-based learning opportunities with its workforce education programs. The idea is to give students hands-on experiences working on projects sponsored by employers, allowing them to gain real-world knowledge in the process.

HCC will select two workforce programs that meet the accelerator’s criteria and insert into them into coursework. In the second and third year of the accelerator, the selected colleges are expected to scale the programs by adding instructors and programs to develop a network of to support their continued implementation.

“Participation by HCC will strengthen how we provide students with career-connected learning experiences that complement their classroom education and align with the needs of employers,” HCC Chancellor Margaret Ford Fisher added in the news release. “We are focused on ‘future forward’ strategies to meet the present and future needs of our region’s businesses.”

Two other Texas colleges were chosen to participate in the accelerator: Lamar Institute of Technology in Beaumont and Grayson College in Denison.

The remaining cohort includes:

Bergen Community College in Paramus, New Jersey
Central Louisiana Community College in Alexandria, Louisiana
Clark State College in Springfield, Ohio
Great Basin College in Elko, Nevada
Heartland Community College in Normal, Illinois
Hudson County Community College in Jersey City, New Jersey
Manchester Community College in Manchester, New Hampshire
Mesa Community College in Mesa, Arizona
Mohave College in Kingman, Arizona
San Joaquin Delta Community College in Stockton, California
San Juan College in Farmington, New Mexico
West Virginia University Parkersburg in Parkersburg, West Virginia

New report ranks Texas among top 10 states where AI could disrupt jobs

AI Workforce

A new nationwide report examining where AI could "reshape" the most jobs has ranked Texas No. 9 among the most at-risk states for AI job disruption.

The new SmartAsset report compared all 50 states and the District of Columbia to calculate the estimated percent of the workforce employed in the 26 occupations with the highest AI exposure, as determined by June 2026 research by the Virginia Economic Information and Analytics Division.

The findings revealed that 500,000 Texas workers, or 3.55 percent of the total workforce, are employed in occupations with "high exposure to potential AI disruption."

This also places the Lone Star State as the 9th most at-risk state in the U.S. where AI exposure can lead to "declining hiring demand, wage pressure, task automation, and other forms of disruption."

"States with larger concentrations of highly exposed occupations could experience more pronounced labor-market changes, particularly in roles where core tasks are more vulnerable to AI-driven restructuring," the report's author wrote.

Texas' biggest cities, like Houston and Austin, are known for their thriving tech and business industries, and the study noted that many of the occupations within those sectors are the most at risk. The Virginia Economic Information and Analytics Division said the top five most AI-exposed occupations in the U.S. are: mathematicians, proofreaders, correspondence clerks, court reporters, and media and communication workers. Additionally, computer programmers, database administrators, web developers, telephone operators, and communications equipment operators round out the top 10 most at-risk positions.

These are the 16 remaining occupations most exposed to AI disruption, in order:

Data Entry Keyers
Statistical Assistants
Office Support Workers
Interpreters and Translators
Database Architects
Software Quality Assurance Analysts
Medical Transcriptionists
Software Developers
Writers and Authors
Payroll Clerks
Web Designers
Miscellaneous Computer Occupations
Insurance Claims Processors
Telemarketers
Computer Numerically Controlled Tool Programmers
Bookkeeping and Accounting Clerks

A separate SmartAsset report from April 2026 found about 20.5 percent of Texas workers use AI to do their jobs in some capacity. That trend will continue to shift further as employers and employees choose to adopt — or reject — AI implementation.

Across the U.S., Washington topped the list as the state with the highest concentration of AI-exposed jobs, with nearly 5.7 percent of the state's workforce employed in the 26 most at-risk positions. SmartAsset said Washington's high prevalence of technology companies is a significant factor that skyrocketed the state to the top of the list.

"Home to major technology companies including Microsoft, Amazon, T-Mobile and Expedia, the state has large numbers of computer programmers and software developers, two occupations with high exposure," the report said.

Meanwhile, Mississippi ranked No. 51 with the lowest concentration of AI-exposed jobs in the nation. About 22,500 workers in Mississippi, or 1.93 percent of its workforce, are at risk for AI disruption.

The top 10 states where AI could reshape the most jobs are:

No. 1 – Washington
No. 2 – Virginia
No. 3 – District of Columbia
No. 4 – California
No. 5 – Utah
No. 6 – Maryland
No. 7 – Colorado
No. 8 – New Hampshire
No. 9 – Texas
No. 10 – North Carolina

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This article originally appeared on CultureMap.com.

UH lands $1.2M NIH grant to fight superbugs using AI, quantum sensing

drug defense

The fight against antibiotic-resistant bacteria like MRSA is getting science fiction-like upgrades at the University of Houston thanks to a new four-year, $1.26 million grant from the National Institutes of Health.

The university says the recent funding brings total federal support up to $3.5 million for 11 years for the project, which uses AI and quantum-sensing technology to better understand how bacterial proteins develop resistance to drugs.

Any medical professional will tell you that one of the worst things that can happen is almost killing an infection. Bacteria that survive attacks from conventional antibiotic treatments emerge tougher, more resistant and more aggressive than before–making them much harder to treat. A good example is the superbug methicillin-resistant Staphylococcus aureus (MRSA).

UH chemistry professors Yuhong Wang and Shoujun Xu are working on this issue. They know full well that fighting superbugs requires new technology and new approaches, which is what they aim to pioneer with their new grant.

“Drug-resistant bacterial infections such as MRSA are becoming harder to treat, creating an urgent need for faster ways to understand how antibiotics and other small molecules interact with bacterial proteins,” Wang said in a news release.

Wang and Xu’s work centers around GTP, a cellular fuel that can cause tiny changes to a cell's structure when it mutates. Sometimes, those shape changes make it easier for drugs to breach the wall and attack the cells.

The UH scientists are employing AlphaFold, an AI-powered tool that can scan large molecular libraries in seconds. From these models, they can see promising drug combinations for future testing.

Once identified, the team uses their invention, super-resolution force spectroscopy, to monitor the cells. Tiny magnetic beads are attached to genetic material, then magnified to see how strong that material is when pulled. They can measure this incredible microscopic process through an atomic magnetometer, typically used in quantum physics. Combined, all these tools allow a high-definition look at how each molecule might respond to new chemical approaches.

“We're the only chemists in the world that use an atomic magnetometer for biological research,” Xu said. “It's a technique developed by physicists, and there is usually a gap between techniques developed by physicists and biological applications. Yuhong and I have been bridging that gap together for the past 10 years.”

Eventually, Wang and Xu hope to develop powerful software that can be used by drug manufacturers to model cellular responses. With enough predictive data, the software could even get ahead of superbugs’ own mutation, allowing drugs to be developed before new strains arrive.

"We want an algorithm where you input a protein sequence, score the mutation hotspots, and develop new inhibitors before a drug-resistant species even emerges," Wang added.

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