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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.
Everybody loves coffee. And with some 75% of American adults indulging in a cup of joe at least once a week, it’s no wonder the industry is constantly on an upswing.
In early 2024, year-over-year (YoY) visits to coffee chains increased nationwide – with every state in the continental U.S. experiencing year-over-year (YoY) coffee visit growth.
The most substantial foot traffic boosts were seen in smaller markets like Oklahoma (19.4%), Wyoming (19.3%), and Arkansas (16.9%), where expansions may have a more substantial impact on statewide industry growth. But the nation’s largest coffee markets, including Texas (10.9%), California (4.2%), Florida (4.2%), and New York (3.5%), also experienced significant YoY upticks.
The nation’s coffee visit growth is being fueled, in large part, by chain expansions: Major coffee players are leaning into growing demand by steadily increasing their footprints. And a look at per-location foot traffic trends shows that by and large, they are doing so without significantly diluting visitation to existing stores.
On an industry-wide level, visits to coffee chains increased 5.1% YoY during the first five months of 2024. And over the same period, the average number of visits to each individual coffee location declined just slightly by 0.6% – meaning that individual stores drew just about the same amount of foot traffic as they did in 2023.
Drilling down into chain-level data shows some variation between brands. Dutch Bros., BIGGBY COFFEE and Dunkin’ all saw significant chain-wide visit boosts, accompanied by minor increases in their average number of visits per location.
Starbucks, for its part, which reported a YoY decline in U.S. sales for Q2 2024, maintained a small lag in visits per location. But given the coffee leader’s massive footprint – some 16,600 stores nationwide – its ability to expand while avoiding more significant dilution of individual store performance shows that Starbucks’ growth is meeting robust demand.
What is driving the coffee industry’s remarkable category-wide growth? And who are the customers behind it? This white paper dives into the data to explore key factors driving foot traffic to leading coffee chains in early 2024. The report explores the demographic and psychographic characteristics of visitors to major players in the coffee space and examines strategies brands can use to make the most of the opportunity presented by a thriving industry.
One factor shaping the surge in coffee visit growth is the slow-but-sure return-to-office (RTO). Hybrid work may be the post-COVID new normal – but RTO mandates and WFH fatigue have led to steady increases in office foot traffic over the past year. And in some major hubs – including New York and Miami – office visits are back to more than 80.0% of what they were pre-pandemic.
A look at shifting Starbucks visitation patterns shows that customer journeys and behavior increasingly reflect those of office-goers. In April and May 2022, for example, 18.6% of Starbucks visitors proceeded to their workplace immediately following their coffee stop – but by 2024, this share shot up to 21.0%.
Over the same period, the percentage of early morning (7:00 to 10:00 AM) Starbucks visits lasting less than 10 minutes also increased significantly – from 64.3% in 2022 to 68.7% in 2024. More customers are picking up their coffee on the go – many of them on the way to work – rather than settling down to enjoy it on-site.
Dunkin’ is another chain that is benefiting from consumers on the go. Examining the coffee giant’s performance across major regional markets – those where the chain maintains a significant presence – reveals a strong correlation between the share of Dunkin’ visits in each state lasting less than five minutes and the chain’s local YoY trajectory.
In Wisconsin, for example, 50.9% of visits to Dunkin’ between January and May 2024 lasted less than five minutes. And Wisconsin also saw the most impressive YoY visit growth (5.9%). Illinois, Ohio, Maine, and Connecticut followed similar patterns, with high shares of very short visits and strong YoY showings.
On the other end of the spectrum lay Tennessee, Alabama, and Florida, where very short visits accounted for a low share of the chain’s statewide total – under 40.% – and where visits declined YoY.
Dunkin’s success with very short visits may be driven in part by its popular app, which makes it easy for harried customers to place their order online and save time in-store. And this is good news indeed for the coffee leader – since customers using the app also tend to generate bigger tickets.
Dutch Bros.’ meteoric rise has been fueled, in part, by its appeal to younger audiences. Recently ranked as Gen Z’s favorite quick-service restaurant, the rapidly-expanding coffee chain sets itself apart with a strong brand identity built on cultivating a positive, friendly customer experience.
And Dutch Bros.’ people-centered approach is resonating especially well with singles – including young adults living alone – who may particularly appreciate the chain’s community atmosphere.
Analyzing the relative performance of Dutch Bros.’ locations across metro areas – focusing on regions where the chain has a strong local presence – shows that it performs best in areas with plenty of singles. Indeed, the share of one-person households in Dutch Bros.’ local captured markets is very strongly correlated with the coffee brand’s CBSA-level YoY per-location visit performance. Areas with higher concentrations of one-person households saw significantly more YoY visit growth in the first part of 2024. (A chain’s captured market is obtained by weighting each Census Block Group (CBG) in its trade area according to the CBG’s share of visits to the chain – and so reflects the population that actually visits the chain in practice).
The share of one-person households in Dutch Bros.’ Tucson, AZ captured market, for example, stands at 33.4% – well above the nationwide baseline of 27.5%. And between January and May 2024, Tucson-area Dutch Bros. saw a 6.0% increase in the average number of visits per location. Tulsa, OK, Medford, OR, and Oklahoma City, OK – which also feature high shares of one-person households (over 30.0%) – similarly saw per-location visit increases ranging from 3.6% - 7.0%. On the flip side, Fresno, CA, Las Vegas-Henderson-Paradise, NV, and San Antonio-New Braunfels, TX, which feature lower-than-average shares of single-person households, saw YoY per-location visit declines ranging from 1.5%-9.5%.
As Dutch Bros. forges ahead with its planned expansions, it may benefit from doubling down on this trends and focusing its development efforts on markets with higher-than-average shares of one-person households – such as university towns or urban areas with lots of young professionals.
Michigan-based BIGGBY COFFEE is another java winner in expansion mode. With a growth strategy focused on emerging markets with less brand saturation, BIGGBY has been setting its sights on small towns and rural areas throughout the Midwest and South. Though the chain does have locations in bigger cities like Detroit and Cincinnati, some of its most significant markets are in smaller population centers.
And a look at the captured markets of BIGGBY’s 20 top-performing locations in early 2024 shows that they are significantly over-indexed for suburban consumers – both compared to BIGGBY as a whole and compared to nationwide baselines. (Top-performing locations are defined as those that experienced the greatest YoY visit growth between January and May 2024).
“Suburban Boomers”, for example – a Spatial.ai: PersonaLive segment encompassing middle-class empty-nesters living in suburbs – comprised 10.6% of BIGGBY’s top captured markets in early 2024, compared to just 6.6% for BIGGBY’s overall. (The nationwide baseline for Suburban Boomers is even lower – 4.4%.) And Upper Diverse Suburban Families – a segment made up of upper-middle-class suburbanites – accounted for 9.6% of the captured markets of BIGGBY’s 20 top locations, compared to just 7.2% for BIGGBY’s as a whole, and 8.3% nationwide.
Coffee has long been one of America’s favorite beverages. And java chains that offer consumers an enjoyable, affordable way to splurge are expanding both their footprints and their audiences. By leaning into shifting work routines and catering to customers’ varying habits and preferences, major coffee players like Starbucks, Dunkin’, Dutch Bros., and BIGGBY COFFEE are continuing to thrive.
Note: This report is based on an analysis of visitation patterns for regional and nationwide grocery chains and does not include single-location stores.
Grocery stores, superstores, and dollar stores all carry food products – and American consumers buy groceries at all three. But even in today’s crowded food retail environment, traditional grocery chains have a special role to play. With their primary focus on stocking a wide variety of fresh foods, these chains serve a critical function in offering consumers access to healthy options.
But visualizing the footprints of major grocery chains across the continental U.S. – alongside those of discount & dollar stores – shows that the geographical distribution of grocery chains remains uneven.
In some areas, including parts of the Northeast, Midwest, South Atlantic, and Pacific regions, grocery chains are plentiful. But in others – some with population centers large enough to feature a robust dollar store presence – they remain in short supply.
And though many superstore locations also provide a full array of grocery offerings, they, too, are often sparsely represented in areas with low concentrations of grocery chains.
For grocery chain operators seeking to expand, these underserved grocery markets can present a significant opportunity. And for civic stakeholders looking to broaden access to healthy food across communities, these areas highlight a policy challenge. For both groups, identifying underserved markets with significant untapped demand can be a critical first step in deciding where to focus grocery development initiatives.
This white paper dives into the location analytics to examine grocery store availability across the United States – and harnesses these insights to explore potential demand in some underserved markets. The report focuses on locations belonging to regional or nationwide grocery chains, rather than single-location stores.
Last year, grocery chains accounted for 43.4% of nationwide visits to food retailers – including grocery chains, superstores, and discount & dollar stores. But drilling down into the data for different areas of the country reveals striking regional variation – offering a glimpse into the variability of grocery store access throughout the U.S. In some states, grocery stores attract the majority of visit share to food retailers, while in others, dollar stores or superstores dominate the scene.
The ten states where residents were most likely to visit grocery chains in early 2024 – Oregon, Vermont, Washington, Massachusetts, California, Maryland, New Hampshire, Connecticut, New Jersey, and Rhode Island – were all on the East or West Coasts. In these states, as well as in Nevada and New York, grocery chain visits accounted for 50.0% or more of food retail visits between January and April 2024.
Meanwhile, residents of many West North Central and South Central states were much less likely to do their food shopping at grocery chains. In North Dakota, for example, grocery chain visits accounted for just 11.7% of visits to food retailers over the analyzed period. And in Mississippi, Oklahoma, and Arkansas, too, grocery stores drew less than 20.0% of the overall food retail foot traffic.
But low grocery store visit share does not necessarily indicate a lack of consumer interest or ability to support such stores. And in some of these underserved regions, existing grocery chains are seeing outsize visit growth – indicating growing demand for their offerings.
North Dakota, the state with the smallest share of visits going to grocery chains in early 2024, experienced a 9.1% year-over-year (YoY) increase in grocery visits during the same period – nearly double the nationwide baseline of 5.7%. Other states with low grocery visit share, including Nebraska, Arkansas, Alabama, Mississippi, and New Mexico, also experienced higher-than-average YoY grocery chain visit growth. This suggests significant untapped potential for grocery stores and a market that is hungry for more.
Alabama is one state where grocery chains accounted for a relatively small share of overall food retail foot traffic in early 2024 (just 28.9%) – but where YoY visit growth outperformed the nationwide average. And digging down even further into local grocery store visitation trends provides further evidence that at least in some places, low grocery visit share may be due to inadequate supply, rather than insufficient demand.
In Central Alabama, for example, many residents drive at least 10 miles to reach a local grocery chain. And several parts of the state, both rural and urban, feature clusters of grocery stores that draw customers from relatively far away.
But zooming in on YoY visitation data for local grocery chain locations shows that at least some of these areas likely harbor untapped demand. Take for example the Camden, Butler, Thomasville, and Gilbertown areas (circled in the map above). The Piggly Wiggly location in Butler, AL, drew 40.1% of visits from 10 or more miles away. The same store experienced a 23.3% YoY increase in visits in early 2024 – far above the statewide baseline of 6.6%. Meanwhile, the Super Foods location in Thomasville, AL, which drew 52.8% of visits from at least 10 miles away – experienced YoY visit growth of 12.3%. The Piggly Wiggly locations in Camden, AL and Gilbertown, AL saw similar trends.
At the same time, trade area analysis of the four locations reveals that the grocery stores had little to no trade area overlap during the analyzed period. Each store served specific areas, with minimal cannibalization among customer bases.
These metrics appear to highlight robust demand for grocery stores in the region – grocery visits are growing at a stronger rate than those in the overall state, people are willing to make the drive to these stores, and each one has little to no competition from the others.
While significant opportunity exists across the country, many communities still face considerable challenges in supporting large grocery stores. Though South Carolina has a significant number of grocery chain locations, for example, certain areas within the state have low access to food shopping opportunities. And one local government – Greenville County – is considering offering tax breaks to grocery stores that set up shop in the area, to improve local fresh food accessibility.
Placer.ai migration and visitation data shows that Greenville County is ripe for such initiatives: the county’s population grew by 4.8% over the past four years – with much of that increase a result of positive net migration. And YoY visits to Greenville County Grocery Stores have consistently outperformed state averages: In April 2024, grocery visits in the county grew by 6.1% YoY, while overall visits to grocery stores in South Carolina grew by 4.2%. This growth – both in terms of grocery visits and population – points to rising demand for grocery stores in Greenville County.
Analyzing the Greenville County grocery store trade areas with Spatial.ai’s FollowGraph dataset – which looks at the social media activity of a given audience – offers further insight into local grocery shoppers’ particular demand and preferences.
Consumers in Greenville-area grocery store trade areas, for example, are more likely to be interested in “Mid-Range Grocery Stores” (including brands like Aldi, Kroger, and Lidl) than residents of grocery store trade areas in the state as a whole. This metric provides further evidence of local demand for grocery chains – and offers a glimpse into the kinds of specific grocery offerings likely to succeed in the area.
Grocery stores remain essential services for many consumers, providing a place to pick up fresh produce, meat, and other healthy food options. And many areas in the country are ripe for expansion, with eager customer bases and growing demand. Identifying such areas with location analytics can help both grocery store operators and municipal stakeholders provide their communities and customer bases with an enhanced grocery shopping experience that caters to local preferences.
Following COVID-era highs, domestic migration levels have begun to taper off – with the number of Americans moving within the U.S. hitting an all-time low, according to some sources, in 2023.
To be sure, some popular COVID-era destinations – including Idaho, the Carolinas, and Utah – saw their net domestic migration continue to rise, albeit at a slower pace. But other states which had been relocation hotspots between February 2020 and February 2023, such as Wyoming and Texas, experienced negative net migration between February 2023 and February 2024.
Analyzing CBSA-level migration data reveals differences and similarities between last year’s migration patterns and COVID-era trends.
Between February 2020 and February 2023, seven out of the ten CBSAs posting the largest population increases due to inbound domestic migration were located in Florida. But between February 2023 and February 2024, the top 10 CBSAs with the largest net migrated percent of the population were significantly more diverse. Only four out of the ten CBSAs were located in Florida, and several new metro areas – including Provo-Orem, UT, Kingsport-Bristol, TN-VA, and Boulder, CO – joined the list.
This white paper leverages a variety of location intelligence tools – including Placer.ai’s Migration Report, Niche Neighborhood Grades, and ACS Census Data location intelligence – to analyze two migration hotspots. Specifically, the report focuses on Daytona Beach, FL, which already appeared on the February 2020 to February 2023 list and has continued to see steady growth, and Boulder, CO, which has emerged as a new top destination. The data highlights the potential of CBSAs with unique value propositions to continue to attract newcomers despite ongoing housing headwinds.
The Boulder, CO CBSA has emerged as a domestic migration hotspot: The net influx of population between February 2023 and February 2024 (i.e. the total number of people that moved to Boulder from elsewhere in the U.S., minus those that left) constituted 3.1% of the CBSA’s February 2024 population.
The strong migration is partially due to the University of Colorado, Boulder’s growing popularity. But the metro area has also emerged as a flourishing tech hub, with Google, Apple, and Amazon all setting up shop in town, along with a wealth of smaller start ups.
Most domestic relocators tend to remain within state lines – so unsurprisingly, many of the recent newcomers to Boulder moved from other CBSAs in Colorado. But perhaps due to Boulder’s robust tech ecosystem, many of the new residents also came from Los Angeles, CA (6.6%) and San Francisco, CA (3.4%) – other CBSAs known for their thriving tech scenes.
At the same time, looking at the other CBSAs feeding migration to the area indicates that tech is likely not the only draw attracting people to Boulder: A significant share of relocators came from the CBSAs of Chicago, IL (6.1%), Dallas , TX (4.9%), and New York, NY (3.9%). The move from these relatively urbanized CBSAs to scenic Boulder indicates that some of the domestic migration to the area is likely driven by people looking for better access to nature or a general lifestyle change.
According to the U.S. News & World Report, Boulder ranked in second place in terms of U.S. cities with the best quality of life. Using Niche Neighborhood Grades to compare quality of life attributes in the Boulder CBSA and in the areas of origin dataset highlights some of the draw factors attracting newcomers to Boulder beyond the thriving tech scene.
The Boulder CBSA ranked higher than the metro areas of origin for “Public Schools,” “Health & Fitness,” “Fit for Families,” and “Access to Outdoor Activities.” These migration draw factors are likely helping Boulder attract more senior executives alongside younger tech workers – and can also explain why relocators from more urban metro areas may be choosing to make Boulder their home.
Boulder’s strong inbound migration numbers over the past year – likely driven by its flourishing tech scene and beautiful natural surroundings – reveal the growth potential of certain CBSAs regardless of wider housing market headwinds.
Florida experienced a population boom during the pandemic, and several CBSAs in the state – including the Deltona-Daytona Beach-Ormond Beach, FL CBSA – have continued to welcome domestic relocators in high numbers. The CBSA’s anchor city, Daytona Beach – known for its Bike Week and NASCAR’s Daytona 500 – has also seen positive net migration between February 2023 and February 2024.
Americans planning for retirement or retirees operating on a fixed income are likely particularly interested in optimizing their living expenses. And given Daytona’s relative affordability, it’s no surprise that the median age in the areas of origin feeding migration to Daytona Beach tends to be on the older side.
According to the 2021 Census ACS 5-Year Projection data, the median age in Daytona Beach was 39.0. Meanwhile, the weighted median age in the areas of migration origin was 42.6, indicating that those moving to Daytona Beach may be older than the current residents of the city.
Zooming into the migration data on a zip code level also highlights Daytona Beach’s appeal to older Americans: The zip code welcoming the highest rates of domestic migration was 32124, home to both Jimmy Buffet’s Latitude Margaritaville’s 55+ community and the LPGA International Golf Club, host of the LPGA Tour. The median age in this zip code is also older than in Daytona Beach as a whole, and the weighted age in the zip codes of origin was even higher – suggesting that older Americans and retirees may be driving much of the migration to the area.
Looking at the migration draw factors for Daytona Beach also suggests that the city is particularly appealing to retirees, with the city scoring an A grade for its “Fit for Retirees.” But the city of Daytona Beach is also an attractive destination for anyone looking to elevate their leisure time, with the city scoring higher than Daytona Beach’s cities of migration origin for “Weather,” “Access to Restaurants,” or “Access to Nightlife.”
Like Boulder, Daytona’s scenery – including its famous beaches – is likely attracting newcomers looking to spend more time outdoors and improve their work-life balance. And like Boulder and its tech scene, Daytona Beach also has an extra pull factor – its affordability and fit for older Americans – that is likely helping the area continue to attract new residents, even as domestic migration slows down nationwide.
Although the overall pace of domestic migration has slowed, analyzing location intelligence data reveals several migration hotspots amidst the overall cooldown. Boulder and Daytona Beach each have a set of unique draw factors that seem to attract different populations – and the success of these regions highlights the many paths to migration growth in 2024.
