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Fast casual extended its winning streak into April 2026, while shifting visit durations across all restaurant formats point to deeper changes in how consumers are choosing to dine.
April 2026 marked another month of year-over-year (YoY) visit growth for fast casual, with traffic rising 1.9% compared to April 2025. The consistency of that trend – visible in the chart below – speaks to the ongoing strength of the segment’s value perception as consumer sentiment declines and energy costs spike – putting pressure on household budgets. Consumers continue to weigh quality and experience against price, and fast casual – sitting between the affordability of QSR and the elevated cost of full-service – keeps clearing that bar. This could also explain the slight decline in QSR visits – for the second consecutive month – which may be reflecting rising prices that are narrowing the gap with fast casual and prompting some consumers to trade up.
Full service restaurants, meanwhile, saw their visit gap improve following March's 4.8% YoY decline – which may indicate that March's dramatic decrease may have been due to calendar shifts rather than to a sharp drop in demand. (March 2025 had five Saturdays compared to March 2026's four, which likely hurt full-service's total monthly traffic last month.) The return to modest dips suggests that, while underlying demand is facing broader macro headwinds, the pressure is less severe than last month’s outsized drop implied.
Beyond visit counts, April 2026 brought a slight shift in visit duration. Mid-length visits (10 to 30 minutes) grew their share YoY across all three segments, while the share of very short visits (under 10 minutes) declined for QSR and fast-casual and the share of longer visits (30+ minutes) fell for all three categories.
For QSR, the 10 to 30 minute visit bucket grew from 30.2% of visits in April 2025 to 31.2% in April 2026 – a meaningful shift for a segment where speed is a core value. This could reflect consumers skipping the drive-thru, and opting to park and dine-in instead, as fuel costs make idling a less economical proposition.
Fast casual visits revealed a similar pattern, as mid-length visits in the segment edged up from 34.2% in April 2025 to 35.4% in April 2026. Given that fast casual is already designed for a more relaxed dining pace than QSR, the uptick in mid-length visits might reflect a combination of factors – consumers leaning into the sit-down experience, and slightly longer wait times as the segment's sustained popularity pressures throughput.
Meanwhile, full-service visits saw a decline in the share of longer visits (30+ minutes) while the share of both short and mid-length visits increased – though longer visits still lead in overall share. Lighter checks, smaller parties, or a more purposeful approach to dining occasions could all be contributing factors.
Fast casual's sustained outperformance and the industry-wide shift toward mid-length visits both point in the same direction: consumers are engaging more selectively with dining, and the segments and brands that offer a compelling experience are pulling ahead.
For more dining insights, visit Placer.ai/anchor.
Placer.ai leverages a panel of tens of millions of devices and utilizes machine learning to make estimations for visits to locations across the US. The data is trusted by thousands of industry leaders who leverage Placer.ai for insights into foot traffic, demographic breakdowns, retail sale predictions, migration trends, site selection, and more.
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In April 2026, Home Depot's five-day return-to-office mandate took effect for corporate employees – the latest addition to a growing list of major employers requiring more in-person presence. What does the latest data reveal about the pace of recovery on the ground?
Nationwide office visits landed 29.1% below April 2019 levels in April 2026 – a slight improvement compared to April 2025. While this marks continued progress, the pace of recovery was more measured than in March, which saw a 4.2 percentage point gain when controlling for the number of working days. (April 2025 and April 2026 had the same number of working days, offering a clean basis for comparison).
Alongside the growing wave of mandates, a survey from MyPerfectResume early this year found that just 7% of employees would quit outright over a mandatory RTO policy in 2026 – down from 51% in January 2025. The shift reflects a labor market that has continued to soften, leaving workers with less leverage to push back on policies they might have resisted just a year ago.
On the other side of the ledger, rising gas prices introduced a meaningful counterweight in April, with the national average surpassing $4.00 per gallon for the first time since 2022. For daily commuters already reassessing the cost of in-office work, a jump of more than $1.00 per gallon in a single month is a significant headwind – and likely one factor behind the slower pace of gains.
Looking across eleven major office markets, nearly all posted modest YoY visit growth, led again by West Coast hubs Los Angeles and San Francisco. Once viewed as a persistent laggard, San Francisco’s AI-powered recovery has helped it avoid the bottom spot for several months running. And as the city’s narrative continues shifting from “doom loop” to “boom loop,” it is likely to keep gaining ground in the months ahead.
Denver, on the other hand, finished last in April across both measures – down 45.3% versus April 2019 and 1.1% from a year ago. With one of the most remote-friendly labor markets in the country and downtown office vacancy still hovering around 38%, the city is increasingly leaning on alternative strategies such as office-to-residential conversions to revive its urban core. Still, prime and Class A buildings remain a bright spot, as employers look to draw workers back with higher-quality spaces and perks rather than mandates alone – and as these efforts gain traction, Denver could begin to narrow the gap.
April’s data reinforces a familiar theme: The return to office remains non-linear, marked by steady but uneven progress. Mandates continue to accumulate and employer leverage has strengthened compared to last year, helping push attendance higher. But rising gas prices are adding friction – and the gap between the nation’s strongest and weakest office markets remains wide.
For more data-driven RTO reports follow Placer.ai/anchor.
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Location intelligence for Walmart and Target highlights two distinct storylines in the superstore space – one defined by sustained momentum, and the other by the early stages of a rebound.
Over the past several months, Walmart has recorded consistent year-over-year (YoY) visit growth, with same-store visits closely tracking overall traffic – suggesting that gains are being driven primarily by existing locations rather than new store openings. This trend aligns with the company’s previously reported transaction growth, reinforcing the strength of underlying demand and serving as a positive signal as Q2 2026 progresses.
Target, on the other hand, entered 2026 under pressure, as visits trailed prior-year levels in both November and December 2025 – partly reflecting continued softness in discretionary categories, which represent a significant portion of its business.
January 2026, however, appeared to mark the beginning of a notable shift, with both overall visits and same-store visits stabilizing. The months that followed brought a meaningful traffic rebound, indicating that February’s positive sales trends may have continued, and new CEO Michael Fiddelke’s turnaround strategy may be bearing fruit. These improvements are particularly noteworthy in light of ongoing weakness in consumer sentiment and the impact of energy price hikes.
An analysis of visits to both brands by day of week adds further context to their recent performance. At Walmart and Target alike, weekday visits rose sharply YoY in Q1 2026 – marking a clear improvement for both retailers – while weekend visits remained essentially flat YoY.
For Target, this stabilization in weekend visits is notable, as prior declines had weighed on overall performance. This matters because weekends tend to capture more discretionary browsing and higher-margin categories that are central to Target’s model.
At the same time, with non-essential spending under pressure, growth anchored in steady weekday demand – reflecting routine, need-based shopping trips – suggests that both brands are reinforcing their roles as essential retail destinations. A measured, but steady, start to 2026.
AI-powered location intelligence indicates that Walmart continues to benefit from steady, need-based demand, while Target appears to be regaining traction after a softer period. Whether Target can build on this early momentum and translate it into sustained growth may be one of the more closely watched dynamics in the sector in the months ahead.
For updates, visit Placer.ai/anchor.
Placer.ai leverages a panel of tens of millions of devices and utilizes machine learning to make estimations for visits to locations across the US. The data is trusted by thousands of industry leaders who leverage Placer.ai for insights into foot traffic, demographic breakdowns, retail sale predictions, migration trends, site selection, and more.
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We're living through one of the most consequential technology shifts of our lifetimes. Generative AI is reshaping how people analyze information, make decisions, and do their work at a pace that would have seemed implausible only a few years ago. For industries like ours, where professionals rely on data to make high-stakes decisions about the physical world, the opportunity is especially exciting. Insights that once took weeks can now surface in minutes. Analytical workflows that once required specialized training can become accessible to anyone.
But that opportunity comes with real responsibility. The same capabilities that make GenAI so powerful also introduce risks such as bias, accuracy, privacy, and misuse - and those risks compound when the underlying technology is moving faster than the norms and regulations around it. The companies building with AI today are, in many ways, writing the operating rules in real time. How we choose to do that matters.
At Placer, we want to be clear about how we choose to do it. Placer doesn't build its own large language models (LLMs). Instead, we use well-established, trusted models from leading providers - the same foundation models that power the most widely adopted AI tools in the enterprise today. That's a deliberate choice. Our value to customers comes from the depth and quality of our data and the analytical expertise built around it, not from reinventing general-purpose AI infrastructure.
But not building the models ourselves doesn't let us off the hook for how we use them. If anything, it raises the bar. When we embed GenAI into our platform, whether as an analytical assistant, an automated summary, or a future agent that helps professionals move faster through their workflows, our customers trust us with the outcome. They're trusting us to pick the right models, apply the right guardrails, protect their data, and be transparent about what the technology is and isn't doing.
That's why we're publishing our Responsible AI Principles today. They're clear, concise, and they reflect how we actually operate.
The four Responsible AI principles address the issues we believe matter most to the professionals who rely on Placer every day:
Fairness and bias mitigation. AI systems can reflect and amplify existing biases in their training data. Our core defense is something we've been doing since long before GenAI: continuously validating our models, monitoring our AI practices and de-biasing outputs where appropriate.
Transparency and accountability. When we use GenAI in customer-facing features, we say so. We build feedback mechanisms into the product and treat that feedback as a real input to how the system evolves.
Privacy by design. Our AI tools are built to identify patterns about places and brands, not individuals. The same strict privacy measures that govern the rest of the Placer platform apply to every new GenAI feature we ship.
Security and safety. We are responsible custodians of our customers' data and are committed to safeguarding its integrity using industry leading standards.
We've also published a clear statement on how Placer's GenAI capabilities may be used and what restrictions we apply. These aren't new restrictions; they extend the responsible-use commitments that have always governed how our data can be used.
We're excited about the era of GenAI and about the value these new capabilities will create for our customers. The AI principles we're publishing are part of a broader effort across the company that’s grounded in a simple idea: trust isn't something we claim once and move on from. It's something we earn in every feature we ship.
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April 2025 set a high bar for movie theater performance, with A Minecraft Movie (April 4) and Sinners (April 18) driving significant spikes in foot traffic. Against this strong comparison, year-over-year (YoY) theater visits trended negative through much of April 2026. This followed a stronger March 2026, when releases like Scream 7 and Project Hail Mary – and easier comparisons – helped sustain significant YoY traffic gains
While the highly anticipated The Devil Wears Prada 2 (released May 1) did not generate a meaningful YoY uplift – given the difficult April 2025 comparison – it appears to have helped stabilize visitation trends, halting the declines seen in prior weeks.
Overall, the data reinforces that theater traffic remains highly blockbuster-driven, with consumers still willing to return to theaters when content feels like a must-see experience. With a slate of major releases ahead – including Star Wars: The Mandalorian and Grogu in late May and Toy Story 5 in mid-June – the sector is likely to see renewed spikes in visitation tied to tentpole premieres.
For more data-driven consumer insights, visit placer.ai/anchor.
Placer.ai leverages a panel of tens of millions of devices and utilizes machine learning to make estimations for visits to locations across the US. The data is trusted by thousands of industry leaders who leverage Placer.ai for insights into foot traffic, demographic breakdowns, retail sale predictions, migration trends, site selection, and more.
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April data indicates positive momentum for the mall sector, with year-over-year (YoY) traffic increases across all three formats analyzed – indoor malls, open-air shopping centers, and outlet malls. This performance is particularly notable given the strong April baseline last year, when traffic rose between 3.7% and 4.3% across formats compared to April 2024.
Open-air centers came out on top, extending a trend in place since December 2025, with visits rising 3.5% YoY. This marks a return to the top growth position after ceding the lead to indoor malls for much of 2025. Indoor malls followed with a 2.2% increase, while outlet malls lagged behind, posting a modest 0.5% YoY gain in April 2025 – potentially reflecting greater sensitivity to elevated gas prices in recent weeks.
At the same time, the average visit duration declined YoY, with all formats experiencing a shift toward shorter visits (under 30 minutes) and a corresponding drop in longer visits (45+ minutes).
This divergence between rising traffic and shorter dwell times suggests that a growing share of consumers are engaging in more mission-driven trips – visiting with a specific purpose in mind rather than for extended browsing. As a result, malls may be seeing more targeted, efficiency-oriented behavior that could concentrate spend within fewer stores per trip.
Still, this shift does not signal a wholesale move away from malls as destinations: across formats, over 40% of visits continue to last more than 60 minutes, indicating that a significant segment of consumers remains engaged in longer, more experiential visits even as quick trips become more prevalent.
April’s data suggests that malls are evolving to meet a wider range of consumer needs. The combination of rising traffic and varied visit lengths suggests that malls are successfully functioning both as convenient, mission-driven retail hubs and as destinations for longer, experiential outings. This dual role may ultimately prove to be a strength, enabling operators and tenants to capture multiple trip types and occasions. If sustained, these trends position the sector for continued resilience, with opportunities to further optimize tenant mix, merchandising strategies, and on-site experiences to align with increasingly dynamic consumer behavior.
Placer.ai leverages a panel of tens of millions of devices and utilizes machine learning to make estimations for visits to locations across the US. The data is trusted by thousands of industry leaders who leverage Placer.ai for insights into foot traffic, demographic breakdowns, retail sale predictions, migration trends, site selection, and more.
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As consumer sentiment hovers near historic lows and the cost of goods remains elevated, value has become a defining theme across the dining industry. Yet within the sector's diverse restaurant categories – and for individual brands – the question is no longer whether consumers are seeking value, but what value actually means. A closer look at chains across the industry suggests that, amid ongoing economic pressure, perceptions of value are evolving. For some consumers, value may be tied to affordability and promotions; for others, it may come from quality, convenience, or experience. The result is a market with multiple paths to winning consumer traffic.
After an uneven but largely resilient 2025, dining traffic in 2026 tipped into a sustained decline.
Monthly visits to the overall dining industry have trailed year-ago levels throughout 2026, with February standing as the lone exception. That month saw a 3.7% year-over-year (YoY) increase in visits, driven in part by comparisons to the period of initial tariff announcements in early 2025. But broader trends remained challenged, and May's 2.5% YoY decline marked the steepest monthly drop of the past twelve months as rising gas prices and weakening consumer sentiment appear to have added pressure to an industry already navigating a difficult environment.
These headwinds, though, have not landed evenly. Across the dining sector, some segments have faced more intense pressure than others, with much of the divide coming down to how consumers are perceiving value against experience.
Over the past several years, inflation and rising menu prices have gradually weakened a cost-based value proposition that has long been central to the QSR segment. More recently, elevated gas prices have added another deterrent, making a trip through the drive-thru a less compelling choice for some consumers.
Strong performance at grocery stores and superstores suggests that competition for share-of-stomach is increasingly extending beyond traditional restaurant rivals. With expanding selections of ready-to-eat and pre-prepared meals, these channels are offering consumers a combination of value, convenience, and quality that can increasingly match limited-service dining options. At the same time, ongoing pressure on household budgets appears to be driving more consumers toward lower-cost meals made at home, creating additional headwinds for the QSR segment.
Yet for many consumers, there is still a time and place for dining out, and in the face of mounting economic pressure, several dining formats have found foot traffic success. Fine dining has posted traffic growth in nearly every month of 2026, with March standing as the lone exception. That decline was likely influenced by a calendar shift, as March 2026 contained one fewer Saturday than March 2025 – a meaningful headwind for full-service restaurants given the outsized role weekends play in driving visits. The segment's sustained growth points to the resilience of higher-income consumers and the enduring appeal of premium, occasion-driven dining experiences.
Fast casual and casual dining have also proven relatively resilient. The fast casual category saw positive YoY foot traffic in every month of 2026 so far, while casual dining's performance has rebounded since the March calendar shift that likely weighed on YoY traffic. A second calendar shift in May 2026 led to an extra Saturday in the month, which likely helped the segment's overall trend. These trends suggest that both fast casual and casual dining occupy an increasingly attractive middle ground where value is defined as a combination of affordability and experience. At the same time, years of menu price hikes at QSR chains have altered the cost equation in fast casual and casual dining's favor, narrowing the price gap between fast food and more elevated dining formats. As that gap has narrowed, consumers may be placing greater emphasis on experience and quality when deciding where to dine.
The balance between price and elevated experience has made fast casual a favorite for value in the dining industry in 2026. A closer look at two of the segment's largest players, CAVA, a relatively young concept, and Chipotle, a legacy chain navigating operational challenges, shows how brands can deliver on that value proposition in different ways and win in today’s dining landscape.
Chipotle's traffic trends in 2026 have improved compared to 2025, with the brand offering a clear example of how fast casual brands can create value by pairing menu innovation with loyalty perks.
Chipotle outpaced the broader fast casual category in YoY visits nearly every week of 2026 so far. And the graph below shows that the chain's strongest traffic gains tended to coincide with major menu launches and loyalty initiatives – a key component of its ongoing "Recipe for Growth" strategy.
The return of fan-favorite Chicken al Pastor in the week of February 9, 2026 helped drive a 16.6% YoY increase in visits. Two months later, the launch of "Rewards on Repeat" – a refreshed loyalty program offering freebies upon sign-up – generated the period's largest weekly traffic gain, with visits rising 18.2% YoY. And the introduction of Honey Chicken on April 28 provided another boost, as the chain continued to rotate limited-time protein offerings and give customers reasons to return.
These performance peaks suggest that Chipotle has been particularly effective at pairing menu novelty with loyalty perks to reinforce a value proposition anchored by quality and experience.
Year-over-Year Change in Weekly Visits, Chipotle vs. Fast Casual, Jan.–Jun. 2026
Dashed lines mark key Chipotle promotional launch dates. Week-of dates shown; launches may have occurred mid-week.
If Chipotle illustrates the power of menu innovation and loyalty-driven engagement, CAVA highlights a different approach to creating value – one rooted in variety, customization, and a consistently differentiated dining experience.
CAVA's overall visits climbed well above 20% YoY in every month of 2026, a pace largely driven by aggressive unit expansion. Meanwhile, same-store visits, which measure traffic at locations open for at least twelve months, sustained positive YoY growth – evidence of genuine demand at existing restaurants alongside a rapidly growing footprint.
While Chipotle leans on limited-time offers, CAVA's growth rests on a consistent, customizable experience. A deep roster of proteins paired with a wide range of bases, dips, and toppings, gives the chain built-in variety that helps keep the concept feeling fresh. In addition, CAVA's Mediterranean-inspired menu offers flavors and combinations that are less easily replicated at home, helping the brand maintain a differentiated experiential value proposition and drive growth.
O Though Chipotle and CAVA are at different points in their evolution and have taken different paths to growth, both highlight the enduring appeal of fast casual's balance of value and quality. In a dining environment where consumers are increasingly weighing cost against experience, the segment's ability to deliver on both has helped make it one of the industry's strongest-performing formats.
Fast casual isn't the only dining segment benefiting from consumers' evolving perception of value. In 2026, several casual dining chains have found success by pairing accessible price points with the elevated experience of a sit-down meal.
Brands such as BJ's Restaurant & Brewhouse, Chili's Grill & Bar, Bonefish Grill, Cicis, and The Cheesecake Factory all posted positive YoY visit growth in multiple months this year, demonstrating that even in a challenging economic environment, diners are motivated when they feel they are getting more in return. These results are particularly notable given the impact of calendar shifts, which weighed on March 2026 comparisons – and provided a tailwind to May performance.
Unlike many fast casual chains, these brands have not relied heavily on a steady stream of limited-time offers to drive traffic. While menu innovation remains part of the playbook, promotions often serve as ticket builders or engagement tools rather than primary traffic catalysts. Instead, these successful casual dining chains have focused on creating everyday value that diners can depend on, narrowing the price gap between limited-service restaurants and full-service dining.
The result is a value equation that encompasses table service, a more relaxed dining environment, and a place to socialize or celebrate an occasion. In an environment where consumers are increasingly weighing cost against overall experience, that combination appears to be helping several casual dining chains maintain positive traffic momentum.
Although dining traffic has softened in 2026, the industry's performance suggests that consumers have not stopped spending on restaurants altogether. Instead, they have become more selective about where they dine and what they expect in return.
Across segments, the strongest performers have found different ways to deliver value. For some brands, that means menu innovation, loyalty engagement, and differentiated experiences. For others, it means dependable affordability paired with the service and atmosphere of a sit-down meal. As economic pressures continue to shape consumer behavior, the data suggests that value is no longer defined by price alone, but by the balance of cost, convenience, quality, and experience.

During the pandemic and its aftermath, Americans were on the move. Millions left expensive coastal markets for lower-cost destinations across the Sun Belt, while boomtowns such as Bozeman, Boise, and Austin struggled to keep pace with the influx of new residents.
That wave of relocation has since cooled, as return-to-office mandates, higher mortgage rates, and a shrinking affordability gap between coastal cities and many COVID-era hotspots have dampened the incentive to move. But even in a slower market, domestic migration remains one of the most powerful forces shaping local economies, housing markets, and consumer demand.
This report leverages AI-powered location analytics to examine the relocation patterns reshaping the United States in 2026 – where Americans are moving, the demographic and economic forces driving those decisions, and how retailers, investors, developers, and policymakers can respond to the opportunities and challenges created by these shifts.
Which major metros are attracting the most new residents? Which pandemic-era standouts have seen growth stall or reverse? And what factors best predict a large metro area's domestic migration growth potential in 2026?
The latest statewide migration data shows that the slower relocation pace observed in 2024 persisted into 2025. No state recorded net inflows or outflows exceeding 0.7% of its starting population. And while several smaller states continued to attract new residents at meaningful rates, none of the nation's six most populous states saw net in-migration exceed 0.2%.
Among those smaller states, South Carolina and Delaware led the nation with net in-migration equal to 0.7% of their populations, followed by Idaho (0.6%), Maine (0.5%), Tennessee (0.4%), and North Carolina (0.3%). For most of these states, migration accelerated relative to 2024, though Delaware's inflow rate moderated slightly and North Carolina held steady.
Despite their differences, these states tend to offer a similar mix of lifestyle amenities, relatively low congestion, and opportunities for growth. Many also benefit from business-friendly climates, favorable tax policies, or housing costs that remain attractive relative to the higher-cost markets from which they draw new residents.
At the other end of the spectrum was Vermont, which saw the nation’s largest net outflow as share of population in 2025, losing 0.4% of its population to domestic relocation. The decline deepens a reversal that first emerged in 2024, when the state swung to a net loss of 0.2%, after attracting inflows of 0.8% and 0.5% in 2022 and 2023, respectively.
Vermont's reversal likely reflects a combination of factors, including return-to-office mandates and the waning appeal of remote work. Housing undersupply in the state may have also contributed, illustrating how important infrastructure investments are to sustaining migration gains over time.
Among the nation's six most populous states, Florida was the only one to see accelerating net in-migration in 2025, attracting new residents equal to 0.2% of its starting population, up from 0.1% the year before. Texas, by contrast, slowed from 0.1% net in-migration in 2024 to essentially flat in 2025, highlighting the cooling of what was once one of the country's strongest pandemic-era migration magnets.
Meanwhile, the legacy "exodus" states continue to lose residents, but at a slower pace than in previous years. Illinois and California have seen their migration deficits steadily narrow, with further improvement in 2025. Between 2022 and 2025, Illinois moved from -0.8% → -0.2% → -0.2% → -0.1%, while California moved from -0.9% → -0.4% → -0.3% → -0.2%. And though New York has held steady at -0.2% over the past two years, this marks a significant moderation from 2022, when the state experienced net outmigration equal to 1.1% of its population.
Statewide trends reveal important shifts, but a closer look at the nation's ten largest metropolitan areas suggests that broader interstate averages increasingly mask diverging local realities. Several metros are attracting residents through interstate domestic migration even when their states as a whole are experiencing little or no net migration growth.
Phoenix (+0.3%), for example, stood out as the nation's top-performing large metro in 2025, despite Arizona's absence from the list of leading migration destinations – with the majority of its inflow coming from out of state.
Dallas (+0.2%) ranked second, continuing its rebound from -0.1% in 2023 even as Texas' statewide migration gains cooled. Like Phoenix, Dallas drew a majority of its new residents from outside the state, underscoring its growing appeal as a national migration destination. Houston, meanwhile, moved in the opposite direction, falling from 0.1% net in-migration in 2023 to -0.1% in 2025. While it is too early to call this a sustained reversal, the divergence between the two metros may reflect Dallas's growing pull as a corporate magnet alongside rising housing costs and weather-related challenges in Houston.
Metro-level data also suggests that the pandemic-era "big-city exodus" narrative is continuing to fade. Los Angeles improved from -0.8% in 2023 to -0.3% in 2025, while New York held steady at -0.3% after improving in 2024. Even Miami (-0.6%), which ranked last among major metros despite Florida's continued statewide gains, saw its outflows moderate from 2023 levels. And while Illinois continued to post net outmigration, Chicago (0.0%) reached migration neutrality in 2025 after recording losses in both 2023 and 2024.
Despite Miami's struggles – and Florida’s relatively modest 0.2% inflow – a look beyond the top 10 large metros reveals that the Sunshine State is home to six of the nation's eight fastest-growing large metros nationwide.
Those top-performing metros, defined as CBSAs with 500K+ residents that added at least 0.8% of their population through net domestic migration over the past year, share a similar profile: lower housing costs, retiree appeal, suburban density, and an easy drive to a larger economic hub.
Much of the growth of these Florida metro areas, however, is being fueled from within Florida itself. While major out-of-state metros such as New York (6.1%) and Chicago (2.0%) remained important sources of new residents, nearly half of the net migration into Florida's top destination metros came from elsewhere in the state. In 2025, Miami (22.5%), Orlando (13.0%), Tampa (5.8%), and Naples (4.2%) together accounted for 45.5% of the net positive migration feeding these fast-growing markets.
The migration flows feeding the nation’s fastest-growing large metros suggest that affordability remains a powerful driver of domestic relocation.
In 2025, seven of the eight top destination metros analyzed above had lower typical home values than their largest feeder markets. Lakeland–Winter Haven, FL, for example, had a typical home value of $313.4K in December 2024, compared with $404.9K in Orlando and $380.2K in Tampa – its two largest sources of net migration. Even North Port–Bradenton–Sarasota, FL – the most expensive Florida metro in this group – drew its largest share of net migration from the New York metro area, where home values are substantially higher.
The lone exception was Charleston–North Charleston, SC, whose largest source of net migration was Baltimore – a market with lower typical home values than the destination. Even in Charleston, however, affordability appears to have played a role. New York, a significantly more expensive market, ranked a close second in 2025, accounting for 6.5% of net positive migration into Charleston, just behind Baltimore’s 6.8%.
While housing costs are only one factor influencing migration decisions, the data suggests that households continue to gravitate toward markets where homeownership is comparatively more attainable than in the places they leave behind.
Typical Home Values* in Top Feeder Markets to Destination Hubs, 2025
*Typical home value based on Zillow Research’s Zillow Home Value Index (ZHVI) for Dec. 2024, immediately preceding the analyzed migration period (Jan.–Dec. 2025).
But as important as affordability is in explaining today’s domestic migration patterns, age appears to be an even stronger determinant of where people choose to relocate.
Among mid-sized and large metros (250K+ residents) experiencing significant population shifts – defined as gaining or losing at least 1.0% of their starting population through domestic migration over the past two years – households are increasingly moving toward older, more established communities.
The data reveals a clear negative relationship between migration performance and age differential – a metric calculated by subtracting the median age of the destination market from the weighted median age of its feeder markets. Negative values indicate movement toward older communities, while positive values indicate movement toward younger ones. In other words, the metros attracting the strongest migration inflows tend to be older than the markets sending them residents.
The data also shows a clear positive relationship between migration performance and retiree concentration. Metros with larger shares of residents aged 65 and older generally saw stronger migration gains over the past two years, while younger metros tended to attract fewer newcomers. This suggests that retiree-driven relocation has become an increasingly important driver of migration. At the same time, the influx of younger residents points to the broader appeal of these communities, which offer a mix of affordability, amenities, and lifestyle advantages.
Net Migration as Share of Starting Population, 2024–2025*
*Analysis includes metro areas with 250K+ residents and domestic migration gains or losses of at least 1.0% during the study period. Weighted Age Differential compares the destination market’s median age with the weighted median age of origin markets, with positive values indicating migration toward younger markets and negative values indicating migration toward older markets. Age data: Census ACS 2020–2024.
The pandemic-era urban exodus is giving way to a more nuanced migration landscape. Large urban markets are stabilizing, while growth is increasingly concentrated in smaller states, secondary metros, and intra-state corridors. Affordability remains a powerful pull, but retirees, lifestyle considerations, and local market dynamics are also playing an increasingly important role in where Americans choose to live.
To capitalize on these shifts in 2026, civic leaders, commercial real estate (CRE) investors, retailers, and developers should:

Across segments, retail and dining expansions converge on a common set of priorities, including identifying markets with strong demand, ensuring alignment with target audiences, and leveraging local consumer behavior to drive synergy. Using AI-powered location intelligence, we analyzed five expanding brands and segments to uncover the core principles driving successful site selection.
Nationwide visits to coffee chains are up in 2026, with established brands and newcomers alike seeing their traffic increase as consumer headwinds lead some to shift their discretionary spend towards more affordable indulgences. But past visit growth does not necessarily indicate future opportunity – it may instead signal market saturation. Relying solely on overall visit trends to guide expansion could lead chains into highly competitive markets where existing supply already meets demand.
For example, analyzing traffic trends in 10 major metro areas where coffee visits increased year-over-year (YoY) in Q1 2026 reveals significant gaps between overall traffic trends and per-location demand. In some CBSAs, overall traffic growth significantly outpaced per-location traffic trends – suggesting that supply is already meeting (or exceeding) demand and limiting room for new coffee locations despite overall category growth. But in other metro areas, where overall visit growth appears smaller, per-location traffic is actually booming – indicating that the underlying demand is resilient enough to support additional coffee concepts.
These patterns highlight the importance of looking beyond topline growth to identify where true whitespace still exists.
Effective site selection matches both regional and local demographics to a brand’s target customer, supporting performance and reinforcing positioning. But even in well-aligned metros, results depend on site-level precision – locations where the trade area visitor profile most closely reflects the brand’s core audience are best positioned to drive incremental upside.
An analysis of Alo locations in the DC area suggests that the company is adopting this strategy. Within the already high-income metro area of Washington-Arlington-Alexandria, individual Alo Yoga stores are placed in centers that draw even more affluent visitors – maximizing the revenue potential of each location.
In fact, Alo's newest stores in the metro area – One Loudoun and Bethesda Row – drive traffic from households with higher median incomes than even the established area locations. This signals a clear focus on premium retail corridors and affluent consumer segments, which reinforces the brand’s positioning while capturing higher-spending customers at the site level.
Beyond driving traffic potential and demographic alignment, site selection should also ensure that a brand’s identity and operating model are well matched to the visitation patterns of prospective locations. Barnes & Noble offers a clear example. The company’s ongoing resurgence has relied in part on repositioning itself as a local cultural and social hub, with a stronger emphasis on local curation and community-driven events.
And analyzing Barnes & Noble’s 2026 openings shows a clear tilt toward centers with a higher share of local traffic than the chain average – supporting its shift away from a purely transactional retail model toward a more community-centric experience built around local curation, events, and repeat visitation. By prioritizing locally driven centers, the company’s site selection strategy not only captures relevant traffic but also reinforces its broader repositioning as a neighborhood-oriented brand.
Effective site selection recognizes that proximity to competitors can function as a demand driver, amplifying traffic rather than diluting it.
In practice, this often takes the form of clustering – deliberately locating near similar or complementary concepts to capture shared demand. Shake Shack provides a clear example. Analyzing the chain's store fleet shows that many locations sit near other QSR and fast-casual concepts, creating opportunities to capture dining-based traffic. At the same time, strong cross-visitation patterns indicate that these co-located brands share a common customer base, positioning the brand closer to consumers who are already likely to visit. And, at least for Shake Shack, this strategy appears to be working – traffic to the chain increased 19.9% YoY in Q1 2026.
Incorporating trade area analysis into site selection can also help determine whether a new location will generate new traffic or risk cannibalizing existing demand. Aldi, a rapidly expanding grocery chain, offers a relevant example.
The company opened a fourth Las Vegas store on S Decatur Blvd in October 2025, positioned between existing locations on W Craig Rd and S Rainbow Blvd, approximately eight miles from each. And analyzing the core trade area of each of the four Las Vegas locations indicated limited visitor cannibalization over the last six months, despite the stores’ close proximity. Only 6.2% and 7.6% of the S Decatur Blvd store’s trade area overlapped with the W Craig Rd and S Rainbow Blvd stores’ trade areas, respectively.
These findings show that there is no one-size-fits-all approach to store spacing – it varies by brand, category, and market. Analyzing a company’s existing store network alongside competitor density and overall demand can help determine how closely locations can be placed without hurting performance. In many cases – especially in high-frequency categories like grocery – markets can support stores that are closer together than expected.
