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Columbus, Ohio is among the Midwest’s fastest-growing metro areas. Like downtown business districts across the country, its urban core is seeing a return to the office. What do inbound commuter traffic patterns reveal about this shift – and how can local stakeholders, from retailers to commercial real estate investors, capitalize on the opportunities created by this growing influx?
Growing metro areas depend on vibrant downtown anchors for employment and economic activity. In Columbus, OH, the downtown area has long served as a key destination for commuters as the city’s population and labor force have grown. Favorable business incentives, and the presence of major employers such as Nationwide Insurance, Huntington Bancshares, and American Electric Power contribute to Downtown Columbus’s rising commuter population.
Analysis of the regions with the highest shares of commuters to Downtown Columbus shows that both nearby urban neighborhoods and surrounding suburbs contribute significantly to the city’s downtown workforce.
The map below reveals that over the past 12 months, the densely-populated 43201 zip code drove one of the highest shares of downtown commuters. This urban corridor includes the rejuvenated Weinland Park neighborhood and parts of the University District and trendy Short North. Many of these commuters are likely students or recent graduates entering the workforce – drawn downtown by internships, early-career roles, and professional opportunities.
At the same time, the suburbs also play a defining role in Downtown Columbus’s workforce composition. The 43123 zip code – centered around Grove City – and 43026 – anchored by Hilliard – also had relatively large shares of Downtown Columbus commuters. This reflects a broader trend of workers balancing suburban lifestyles with city-based employment opportunities.
While Downtown Columbus’s workforce reflects a mix of suburban and urban commuters, the composition within its commercial corridors is even more nuanced – shaped by distinct demographic and psychographic characteristics.
Among the analyzed corridors, the Arena District stood out for having the highest median household income (HHI) and the largest share of the “Young Professionals” segment among commuters in 2025, suggesting a workforce anchored in early- to mid-career white-collar roles. This profile aligns with the district’s mix of corporate offices, and sports and entertainment–adjacent employers that may attract younger, upwardly mobile workers.
The Discovery District followed closely in terms of median income, but its psychographic mix skewed differently. The area had one of the highest shares of the “Ultra Wealthy Families” segment, alongside the largest concentration of the “City Hopefuls” segment, among the downtown corridors analyzed. Anchored by institutions such as Columbus State Community College, major healthcare employers, research organizations, and cultural assets like the Columbus Metropolitan Library and the Columbus Museum of Art, the district appears to draw a diverse, but upper-income mix of commuters tied to public service, education, and nonprofit work.
The Uptown District stood apart with a median commuter HHI below that of the Columbus, OH DMA, and elevated shares of “City Hopefuls” and “Young Professionals” compared to the region. This profile likely reflects the district’s concentration of government offices and white-collar employers in law and finance, alongside the service-sector workforce that supports the area’s high daily activity – together pulling a wide spectrum of income levels into the corridor each day.
With the right strategy, the diversity among commuters – who are also consumers of restaurants, retailers, and other service-oriented industries – creates opportunities for businesses to engage their target audiences where they spend meaningful daytime hours.
A downtown reflects not only a metro’s economic strength but also the fabric of its cultures and communities. In Columbus, the downtown serves as both a hub of commercial activity and a crossroads for commuters from diverse backgrounds. This diversity presents businesses with opportunities to carve out a target audience and civic leaders with a responsibility to ensure that Downtown Columbus continues to serve the needs of all who power it.
For more regional analyses, 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.
Between July and October 2025, Chipotle’s year-over-year (YoY) visit growth was driven almost entirely by expansion. Overall chain-wide visits rose each month, while same-store visits remained negative, generally hovering between -1% and -2%.
This pattern aligns closely with Chipotle’s recent earnings results. In Q2 2025, the company reported a 4% decline in comparable restaurant sales driven by a nearly 5% drop in transactions, even as average check size increased modestly. Q3 showed a slight improvement in same-store sales, but that gain was driven by higher checks rather than traffic, prompting Chipotle to trim its same-store sales outlook to a low single-digit decline. Throughout this period, digital sales remained a significant share of revenue, and new restaurant openings continued to support overall growth.
More recent visit data, however, suggests the dynamic may be shifting. In November, same-store visits turned slightly positive, contributing to a stronger increase in total chain-wide traffic, and December data shows that improvement continued to build. While expansion remains a key driver, this emerging pattern suggests existing locations may be starting to regain momentum.
Some of Chipotle’s late-year momentum appears to be driven by a growing share of short visits (defined as those lasting under ten minutes), which accounted for 42.2% of total chain traffic in 2025 – up from 41.2% in 2024. These quicker trips have consistently outperformed longer visits on a YoY basis, making their increasing share an important contributor to overall visit growth.
Importantly, the rise in short visits does not appear to be coming at the expense of longer ones. From July through October 2025, average per-location visits lasting under ten minutes remained essentially flat even as longer visits continued to lag; by December, however, both short and longer visits were growing on a per-location basis. This pattern indicates that the shift toward convenience is not cannibalizing traditional visit occasions, but may instead be lifting overall engagement with the brand.
Chipotle still benefits from expansion, but the more important story may be what’s happening inside existing restaurants: Same-store visits are stabilizing while quick trips gain share. And with the December launch of an all-new high-protein menu, Chipotle is signaling that it isn’t standing still – it’s continuing to refine its offerings to stay relevant as customer expectations and visit behaviors change.
For more data-driven 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.
McDonald’s ended 2025 with clear visit momentum, reversing earlier softness and posting steady gains in the back half of the year. Same-store visits followed a similar trajectory, indicating that growth was driven by stronger underlying demand rather than unit expansion. This late-year rebound positions McDonald’s with solid visit momentum heading into 2026, suggesting improving consumer engagement as the year closed.
Some of the visit growth is likely due to the chain's popular Q4 LTOs – but diving deeper into the visit frequency data suggests that McDonald’s long-term investment in its loyalty program is also playing a part. The company's launch of MyMcDonald’s Rewards in 2021 seems to have succeeded in shifting traffic toward higher-frequency, incremental visits rather than relying on new customer acquisition.
Compared to pre-loyalty levels in H2 2019, a growing share of McDonald’s visits now comes from diners visiting an average of 4+ times per month, with the share of visits from consumers visiting the chain an average of 8+ times per month showing the most dramatic growth. Grouping YoY visit trends by visit frequency also shows that visits from high-frequency diners grew the most compared to H2 2024 and H2 2019. This dynamic points to a core benefit of loyalty-led growth: driving incremental visits from existing customers is typically far more efficient than acquiring new ones, especially in a mature, highly penetrated category like quick service restaurants.
McDonald’s executives have been explicit that loyalty is designed to increase frequency, not just enrollment. The continued growth of the program through 2025 – including deeper integration with value offers and digital ordering – suggests McDonald’s is still finding room to extract incremental visits from an already loyal base.
For other restaurant chains, McDonald’s experience points to the value of using loyalty as a lever for incremental growth, particularly once a customer has already been acquired. While many QSR brands continue to drive expansion by entering new markets or opening additional locations, McDonald’s data illustrates how meaningful gains can also come from increasing visit frequency among existing customers. Even without McDonald’s scale, the underlying strategy is broadly applicable: converting first-time or occasional visitors into higher-frequency customers can serve as a complementary – and often more efficient – path to growth alongside physical expansion.
Will these lessons shape the QSR space in 2026? Visit Placer.ai/anchor to find out.
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.
In 2024, Dollar Tree capitalized on the liquidation of the 99 Cents Only chain to execute a strategic "land grab" in the notoriously tight US retail market. By acquiring designation rights for 170 leases across priority markets like California, Arizona, Nevada, and Texas, the retailer aimed to bypass zoning hurdles and accelerate growth.
AI-powered location analytics indicates the selection process was highly disciplined: Looking at over 85 California stores that were converted from 99 Cents Only to Dollar Tree reveals that Dollar Tree cherry-picked high-performing sites that were generating 6.0% more foot traffic than the 99 Cents Only chain average in 2023. This suggests the acquisition was a calculated move to secure proven, high-quality real estate.
However, 2025 performance data reveals that capitalizing on this opportunity comes with distinct operational costs. Total visits to the converted stores have dropped 38.8% compared to their 2023 baselines. While some of this decline is structural – Dollar Tree operates a lower-frequency "treasure hunt" model compared to the high-frequency grocery model of the previous tenant – a significant portion is self-inflicted through network overlap.
A staggering 36% of the new sites are located less than a mile from an existing Dollar Tree, which inevitably dilutes local traffic through cannibalization. This serves as a critical lesson for retailers considering bulk acquisitions: purchasing a portfolio "en masse" often prevents perfect network optimization, forcing the acquirer to manage the friction where new footprints compete with the old.
Still, despite this cannibalization and the drop in raw volume, the transition offers a potential "healthy correction" for the business. The previous tenant collapsed under the weight of "rising levels of shrink" and low-margin grocery sales. By shifting the model, Dollar Tree is effectively filtering out non-paying visitors and low-value transactions, trading chaotic volume for a more controlled, margin-focused operation. The discrepancy between the sharp drop in total visits (-38.8%) and the more moderate dip in visits per square foot (-25.0%) suggests Dollar Tree is already rightsizing these operations, leaving some "ghost space" inactive rather than over-investing in labor to manage the entire cavernous floor.
And this excess square footage is only a liability if it remains empty; turning it into an asset requires leveraging the fundamental change in who is now shopping these aisles. The shift in shopper demographics – where "Wealthy Suburban Families" have replaced the "Young Urban Singles" and "Melting Pot Families" of the previous tenant – is crucial for Dollar Tree's future. This new audience, which is less price-sensitive, provides the ideal environment for Dollar Tree to deploy its "Multi-Price" strategy.
While CFO Jeff Davis has cited "start-up costs" regarding these conversions, the long-term opportunity is clear: if Dollar Tree can utilize the extra square footage to showcase this higher-margin assortment, these locations could evolve from overlapping burdens into profitable flagships that capture a share of wallet the traditional small-box fleet never could.
For more data-driven CRE 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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It’s mid-January, and you promised yourself this would be the year you finally join a gym and get in shape.
But let’s be honest – choosing a gym is about more than fitness goals alone. You’ll still need to judge the equipment, locker rooms, and showers for yourself (we’re not here to do your dirty work) but there are other, less obvious factors that can determine which gym feels like the right fit – and that’s where we come in.
Trying to dodge the morning rush? Hoping to make new friends? Curious where other singles work out? Letting AI-powered location analytics do some of the heavy lifting, we analyzed major fitness chains to uncover the patterns that could help you find your ideal gym in 2026.
Few things derail motivation faster than showing up ready to work out – only to find every treadmill and weight machine taken. To understand which gyms are most likely to offer breathing room during the busiest parts of the day, we analyzed hourly visit patterns across the nation’s largest fitness chains.
The analysis shows clear differences in how morning traffic is distributed. For early risers, LA Fitness recorded the lowest share of daily visits between 5:00 AM and 8:00 AM in 2025, at just 8.9%. 24 Hour Fitness and EōS Fitness also kept morning traffic below the 10% mark, suggesting these chains may be better options for members looking to avoid crowded early workouts.
If after-work workouts are more your style – and minimizing crowds is the priority – the data points to a few clear standouts.
Among the analyzed gyms, Club Pilates recorded the smallest share of visits between 5:00 PM and 8:00 PM at 16.5%, followed by Orangetheory (17.3%) and Burn Boot Camp (18.7%). That lighter early-evening traffic likely reflects the structured nature of class-based formats, which can help limit overcrowding even during peak hours.
Looking specifically at traditional gyms, EōS Fitness, Life Time, and Vasa Fitness saw the lowest share of early-evening visits – making them potential options for those hoping to squeeze in a workout while avoiding the after-work rush.
If getting in shape and finding love are both on the agenda this year, there may be a way to double up. Using AI-powered captured market data, we analyzed major gym chains to understand where members are most likely to be single – which may mean a higher chance of meeting someone special.
The analysis shows that Genesis Health Clubs had the highest combined share of one-person households and non-family households – i.e. people living alone or with roommates – in its captured market, at 36.6%. Crunch Fitness followed closely at 35.8%, with Planet Fitness just behind at 35.2%. These household segmentation patterns suggest that these gyms may offer more opportunities to meet other singles while getting in a workout.
If you’re looking for love, or simply to make new friends, age demographics may be something to consider when choosing a gym.
Our analysis of major fitness chains shows that the potential markets of Fitness Connection, Vasa Fitness, and In-Shape Family Fitness – i.e. the areas from which each chain draws its visitors – skewed younger in 2025, with large shares of visitors under 30.
By contrast, gyms such as The Edge Fitness Club, Retro Fitness, and Life Time tended to attract older audiences, with large shares of visitors 45 and older. For members looking to work out alongside peers closer to their own age, these demographic patterns could help narrow the field.
Age is just a number, right? So if you’re looking to make a real connection at the gym this year, you might look for some common areas of interest with other members. Our analysis highlights which gyms are most likely to attract visitors with your shared passions.
For dog lovers hoping to meet a fellow fitness enthusiast who’s just as excited about the dog park as leg day, Burn Boot Camp stands out. The chain over-indexed most strongly for the “Dog Lovers” segment, based on Spatial.ai: Proximity and AI-powered captured market data.
Prefer bonding over a good book? Genesis Health Clubs led the pack for the “Bookish” segment, suggesting a higher likelihood of members who enjoy reading as much as a solid workout. Coffee aficionados may find their people at 24 Hour Fitness, which showed the strongest over-indexing for the “Coffee Connoisseur” segment.
For those with travel on the brain, Workout Anytime over-indexed for the “Wanderlust” segment – pointing to a member base more likely to dream about their next destination. And if your ideal post-workout plan includes a movie or live show, 24 Hour Fitness and Gold’s Gym emerged as standouts, over-indexing for the “Film Lovers” and “Live & Local Music” segments, respectively.
Ultimately, choosing the right gym goes beyond equipment, pricing, or proximity. Visit patterns, demographics, and shared interests all shape the experience – influencing when you’ll work out, who you’ll see, and how the gym fits into your broader lifestyle. While no dataset can guarantee a perfect match, these patterns offer a data-backed starting point for finding a gym that aligns with how you want to train, socialize, and show up in 2026.
Want more data-driven insights for the real world? 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.
*This article excludes data from Washington State due to local regulations
Brick-and-mortar retail ended 2025 on a high note, with offline retailers posting a 2.4% increase in traffic in Q4 2025 relative to Q4 2024. This growth underscores the sector’s continued relevance even amid ongoing e-commerce growth and reinforces that retail growth is not a zero-sum dynamic, but one in which physical and digital channels increasingly coexist and complement one another.
The traffic gains during the holiday season also highlights the particular appeal of physical retail during the holiday season, when demand for in-person shopping experiences is particularly high. And as retailers refine store formats, right-size footprints, and better integrate physical locations into omnichannel strategies, brick-and-mortar retail is well positioned to remain a critical growth and engagement channel heading into 2026.
Foot traffic to e-commerce distribution centers remained consistently positive YoY throughout 2025, underscoring the strength of the logistics segment and signaling durable demand for logistics space rather than short-term fluctuations. This pattern aligns with the broader trajectory of e-commerce in the U.S., where online retail sales are projected to continue expanding, and reflects a broader structural shift in how goods move through the economy, with fulfillment infrastructure playing an increasingly central role.
This consistency is driven by long-term forces shaping retail and supply chains, including omnichannel fulfillment, faster delivery expectations, and inventory decentralization. As retailers rely more heavily on regional distribution nodes to support ship-from-store, curbside pickup, and next-day delivery, logistics facilities have become essential infrastructure rather than optional back-end operations. Even as growth moderated slightly later in the year, the persistence of positive YoY traffic points to sustained operational intensity and long-term relevance.
Year-over-year (YoY) foot traffic to U.S. manufacturing facilities points to volatility rather than sustained growth, reflecting a sector that is actively managing uncertainty. Visits declined during much of the year, suggesting restrained hiring as manufacturers appear to be operating lean – adjusting labor and on-site activity quickly in response to demand changes. Productivity gains and automation are likely also playing a role, allowing facilities to maintain output with less consistent physical presence. As a result, the foot traffic volatility may be reflecting operational flexibility rather than simple expansion or contraction.
Against this backdrop, December stands out with a clear uptick in manufacturing visits, signaling increased end-of-year activity. This rise likely reflects a mix of year-end production runs, inventory adjustments, maintenance work, and preparation for early-year demand. The December traffic increase reinforces that U.S. manufacturing – still one of the largest and most economically significant sectors globally – is adapting, not retreating, maintaining operational relevance even as it recalibrates for efficiency, automation, and selective growth.
For more data-driven retail & CRE insights, visit placer.ai/anchor.
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.
