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Consumers continue to prioritize health and wellness, putting the fitness space in a strong position even as economic headwinds and value-seeking shape discretionary spending. With 2026 now underway – and the industry’s peak sign-up season in motion – we took a closer look at Planet Fitness, one of the category’s largest players, alongside broader fitness trends to put our finger on the pulse of fitness in 2026.
Through most of 2025, Planet Fitness – and the fitness category as a whole – maintained YoY monthly visit growth. February 2025 marked the lone dip in visits for both Planet Fitness and the broader category, likely driven by inclement weather that temporarily kept some consumers out of gyms.
And Planet Fitness’ growth outpaced the wider category nearly every month, with the chain's momentum likely reflecting continued expansion – part of its multi-year growth strategy. Planet Fitness’ average visits per location were also up YoY – aligned with overall category levels – suggesting new gyms are meeting incremental demand rather than redistributing existing traffic.
In January 2026, Planet Fitness continued to experience visit growth, perhaps as New Year’s resolution-driven sign-ups helped lift traffic. Combined with the chain’s ongoing unit expansion, this dynamic could support continued gains as the brand moves further into 2026.
Planet Fitness’ recent gains may also reflect a broader shift within the fitness landscape toward low-priced membership models.
The chart below shows that since at least the start of 2024, visits to budget-friendly gym chains (monthly fees under $30) such as Planet Fitness have consistently outpaced those to mid-tier ($30-$60) and premium competitors ($60+).
But the divergence became more pronounced beginning in early 2025, when traffic growth of premium fitness chains fell off sharply while low-priced gyms continued to see visits accelerate. In a retail environment defined by heightened price sensitivity and value-seeking, lower-cost memberships appear to be resonating with consumers looking to manage discretionary spending while higher-cost concepts face mounting pressure.
Moreover, once a gym membership is paid for, price-conscious consumers could be leaning more heavily into fitness visits as a way to spend time outside the home without opening their wallets – especially as other “going out” activities have become more expensive.
As the fitness industry moves through the early months of 2026, one of the most telling indicators to watch is visitor frequency. During the peak sign-up season, this metric offers an early read on member engagement – and on whether new joiners are building habits that support longer-term retention.
In January 2026, visitor frequency to Planet Fitness held steady, even as several other analyzed gym chains saw slight declines. The dip elsewhere may be partly attributable to Storm Fern, which likely disrupted routines and temporarily curtailed gym visits across affected regions. Against that backdrop, Planet Fitness’ stable frequency stands out as a relative bright spot.
Still, with resolution-driven sign-ups typically extending through much of Q1, it may be too early to draw firm conclusions about full-year performance. As weather-related effects fade and new members settle into routines, frequency trends over the coming months should offer clearer insight into how the category – and Planet Fitness in particular – is positioned for the rest of 2026.
Planet Fitness’ ability to grow visits, sustain per-location demand, and hold visitor frequency steady early in 2026 suggests the brand is benefiting from both internal strategy and favorable category-level tailwinds. While it remains early in the year, the underlying trends indicate that low-cost fitness models, and Planet Fitness in particular, are well-positioned as consumers prioritize cost-effective ways to stay active.
Which gyms will grow 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.
Super Bowl LX kicked off on Sunday, February 8th at Levi’s Stadium in Santa Clara, but celebrations across the Bay Area – from fan festivals and concerts to immersive cultural activations – began well before game day.
An AI-powered analysis of two marquee Super Bowl week events – the Ferry Building Projection Show and Chris Stapleton’s concert at the Bill Graham Civic Auditorium – highlights the role pre-game attractions played in extending the championship into a multi-day driver of regional foot traffic.
Between February 5th and 7th – the three nights leading up to the Super Bowl – San Francisco’s iconic Ferry Building became the canvas for a large-scale projection show celebrating 60 years of Super Bowl history. Comparing evening visits during the installation to the nightly average since January 1st, 2025 highlights the magnitude of the crowds drawn downtown for the spectacle.
The Ferry Building is no stranger to major surges in visitation tied to visual events. On July 4th, 2025, visits to the area were 217.5% above the daily average as fireworks lit up the Bay, while New Year’s Eve drove an even larger spike of 336.9%. Other recent activations – including a drone light show on October 8th and the multi-day “Let’s Glow SF” installation from December 5th to 14th – also generated noticeable visit increases.
But, the pre-Super Bowl Projection Show stood apart. Evening visits to the Ferry Building spiked by 141.6% on the first night of the installation and by 265.7% on the second. On the eve of the Super Bowl, February 7th, visits surged 479.1% above the nightly average, surpassing every other evening visit peak observed over the previous twelve months. This shows that the event was not only visually compelling, but also exceptionally effective at drawing crowds into the city core during Super Bowl week.
While the Ferry Building Projection Show was a major draw in its own right, many attendees treated it as just one stop on a broader evening itinerary.
Location intelligence shows that 18.2% of visitors to the projection show also made an evening visit to Moscone Center, home of the Super Bowl LX Experience between February 3rd and 7th. Other popular destinations included Pier 39, Ghirardelli Square, and the Fillmore Shopping District – all well-established tourist and retail corridors.
Regional indoor shopping centers also benefited from an influx of visitors. Serramonte Center and Stonestown Galleria ranked among the more common evening stops for projection show attendees, a pattern that could suggest travelers sought warm, indoor environments for dining and shopping after spending time along the waterfront.
Taken together, the data indicates that Super Bowl-themed activations drove visit spikes while generating spillover benefits for a diverse mix of retail, dining, and entertainment destinations across the Bay Area.
Among Super Bowl week’s most anticipated and in-demand ticketed events was Chris Stapleton’s concert at the Bill Graham Civic Auditorium on February 7th.
With limited ticket availability and a premium price-tag, the concert drew a notably affluent audience. On the day of the show, households classified as “Ultra Wealthy Families” accounted for 45.5% of the venue’s captured market, compared to 23.5% across the prior twelve months. Similarly, households earning more than $175K represented 46.5% of the venue’s captured market on concert day, well above the 34.9% average observed over the previous year. These shifts demonstrate the robust demand for exclusive Super Bowl week experiences among higher-income music fans.
But affluence alone only tells part of the story. Using location intelligence to examine visitor journeys offers clearer insight into the concert’s audience – whether it skewed local or was bolstered by visiting Super Bowl guests.
Trade area analysis reveals that 36.6% of visitors to the Bill Graham Civic Auditorium on the day of the show traveled between 10 and 30 miles – a higher share than usual for the venue, indicating stronger representation from the extended Bay Area.
At the same time, the event also drew a meaningful influx of long-distance travelers. Visitors coming from more than 250 miles away accounted for 12.9% of concertgoers on February 7th, up from 8.0% over the previous twelve months. This increase suggests that many Super Bowl tourists incorporated the high-profile live show into their itineraries, reinforcing the role of major concerts as drivers of valuable traffic during destination sporting events.
For civic leaders, major activations like these highlight how strategic programming can amplify the regional impact of tentpole sporting events – generating surges in visitation and meaningful spillover to retail corridors, entertainment districts, and shopping centers.
For more data-driven civic 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.
Wingstop closed out Q4 2025 with soft same-store traffic but a clearly defined strategic trajectory. While same-store visits remained under pressure, performance in Dallas – the brand’s most mature market – suggests that improvements in operational efficiency could play a central role in unlocking Wingstop’s next phase of growth.
Wingstop continued to expand its physical footprint in Q4 2025, driving total chain-wide traffic up 1.0% year over year (YoY) for the quarter and 4.5% for 2025 as a whole. At the same time, same-store traffic remained soft, extending a pattern that persisted throughout the second half of the year.
Some of that pressure reflects a challenging baseline comparison. Wingstop is lapping an unusually strong 2024, when domestic same-store sales surged nearly 20% YoY – setting a high bar for subsequent growth. The decline in same-store visits also aligns with the brand’s deliberate shift toward off-premise occasions: By Q3 2025, 72.8% of Wingstop’s sales were digital, underscoring the brand’s evolution into a tech-led, delivery-forward concept.
Still, looking more closely at Wingstop’s Dallas, TX market – home to the majority of its company-owned restaurants – offers a compelling signal for how the brand can reverse recent traffic trends. In 2025 earnings calls, management repeatedly pointed to Dallas as a top performer, attributing its resilience to the early integration of the chain’s AI-powered Smart Kitchen platform.
Piloted in Dallas before its nationwide rollout in late 2025, the AI-powered system is designed to optimize throughput and accuracy to deliver a more consistent pickup experience. And location analytics appear to support management’s view: In Q4 2025, 44.5% of Wingstop visits in the Dallas DMA lasted under ten minutes, compared to 40.8% nationwide.
Comparing YoY performance for shorter and longer visits to Wingstop – both in Dallas and nationwide – further highlights the growing importance of speed of service. In Q4 2025, visits lasting under ten minutes increased YoY on a per-location basis nationwide, with even stronger gains in Dallas, while longer visits continued to lag.
Crucially, although Dallas was not immune to the broader pressures weighing on longer visits, its YoY decline was notably less severe than the national trend. This divergence suggests that, beyond reducing wait times, the faster and more accurate service enabled by the Smart Kitchen platform may be contributing to a stronger overall visitor experience.
Location analytics suggest that operational improvements and faster service are beginning to translate into stronger traffic for Wingstop. And with the chain’s new loyalty platform set to launch nationwide later this year the brand may be poised for renewed same-store momentum.
For more data-driven dining insights, follow 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.
The return to office was put to the test last month as a slew of new RTO mandates took effect – coinciding with the late-January arrival of Winter Storm Fern. With policies pulling in one direction and weather disruptions pulling in the other, how were offices impacted on the ground?
January 2026 delivered a reminder that return-to-office progress is anything but linear – but it is still gaining ground. Despite Winter Storm Fern disrupting travel and commutes across large parts of the country toward the end of the month, office attendance continued its gradual recovery. Visits to the Nationwide Office Index were 38.3% below January 2019 levels, a modest improvement from January 2025, when a Polar Vortex similarly inhibited commutes.
And while total monthly visits came in slightly below January 2024 levels, adjusting for the number of working days reveals a more encouraging picture. On a per-working-day basis, January 2026 was the busiest in-office January since COVID – no small feat in a month when ice and snow covered large swaths of the contiguous U.S. for several days. The fact that offices were generally fuller than in prior Januaries, even amid widespread disruptions, points to a robust underlying RTO trajectory.
Fern’s influence becomes clearer, however, when zooming in on individual metros. Cities that avoided the worst of the storm generally posted stronger year-over-year (YoY) gains, while heavily impacted markets saw flatter or negative results. Miami, for example, continued to record YoY increases, while New York City – hit hard by Fern – saw visits edge down 0.3% YoY.
Last year’s winter conditions also played a meaningful role in YoY comparisons. Both Dallas and Houston were affected by Fern this January, though Dallas bore the brunt of the storm, with snow, ice, travel disruptions, and flight cancellations contributing to a 6.7% YoY drop in office visits. Houston, by contrast, experienced more limited disruption in January 2026 and posted a YoY increase – in part because it was lapping the January 2025 Gulf Coast Blizzard, which saw rare snow accumulations effectively shut the city down. In other words, Houston’s biggest weather-related disruption occurred last winter, while Dallas faced a more acute shock this year.
Washington, D.C.’s 3.2% YoY uptick and Atlanta’s 9.1% gain similarly reflect comparisons to January 2025, when both markets were hampered by extreme winter weather. But these rebounds also point to underlying recovery momentum – especially for Atlanta, which, despite being impacted by Fern, ranked third among the analyzed cities for post-pandemic office recovery.
Meanwhile, West Coast markets that were largely spared severe winter conditions posted the strongest year-over-year gains. Los Angeles and San Francisco led the pack, with YoY increases of 15.6% and 10.9%, respectively.
In today’s hybrid workplace, weather disruptions have become an increasingly accepted reason to skip the commute and work from home. And as a result, January – one of the most weather-prone months of the year – has emerged as a softer period for office attendance, regardless of broader RTO momentum.
Still, when adjusting for the number of working days, office visits this January marked a meaningful improvement over last year – further evidence that return-to-office progress continues to move steadily forward.
For more data-driven office recovery analyses, visit Placer.ai/anchor.
The fast casual space has become an increasingly competitive battleground for share-of-stomach as price-sensitive consumers trade down to lower-cost food channels. Against this backdrop, CAVA and sweetgreen offer a timely case study in resilience. Both brands continue to expand their footprints and diversify their audiences while leaning on loyalty programs and menu innovation to sustain growth during a volatile period for the dining sector. Using AI-powered location analytics, we uncover how macroeconomic pressures have shaped foot traffic trends to both chains and explore the strategies helping to keep them on a positive growth trajectory.
CAVA and sweetgreen continue to pursue aggressive expansion strategies, contributing to the overall visit growth of both brands. But while CAVA showed relative stability in both overall visits and same-store performance in H2 2025, sweetgreen experienced softer year-over-year (YoY) visit growth and moderate same-store visit declines in most months – raising the possibility of emerging “bowl fatigue.”
In Q4 2025, CAVA posted 16.6% YoY visit growth, with loyalty program enhancements and a holiday campaign likely helping to sustain visits.
Sweetgreen’s 4.4% visit growth in Q4 2025 was moderate by comparison, although December stood out for delivering positive YoY visits and same-store visits. This boost may have been driven by the value-focused $10 Harvest Bowl promotion alongside continued adoption of the brand’s refreshed loyalty program.
For both chains, revamped loyalty programs and continued expansion may set the stage for growth in the year ahead.
Even as refreshed loyalty programs and expansion act as growth levers, both chains have recently called out a shared headwind – softer engagement among Gen Z and Millennial diners amid sustained financial pressure on younger consumers.
However, AI-powered captured market analysis combined with the Spatial.ai: PersonaLive dataset suggests early signs of renewed momentum. In Q4 2025, both chains saw an increased share of visitors from the “Young Urban Singles” segment – a cohort that skews heavily Gen Z and Millennial – compared to Q4 2024. And sweetgreen saw growth in its “Educated Urbanites” segment – another cohort that skews heavily Gen Z and Millennial, and which makes up a large share of the chain’s captured market. These shifts could indicate that both brands reclaimed some younger traffic toward the end of the year.
At the same time, both brands saw broader audience diversification within their captured markets. Sweetgreen increased its share of “Wealthy Suburban Families”, while CAVA saw gains among “Upper Suburban Diverse Families” and “Near-Urban Diverse Families”. This suggests that growth among older and more financially stable segments is likely helping to offset some of the pullback from younger diners.
And while some of CAVA and sweetgreen’s suburban and near-urban audience gains likely reflect both chains’ continued unit expansion beyond urban cores, the rise in young urban traffic indicates that strategic initiatives are resonating with traditional audiences. Menu innovation and tools that give diners greater control over nutritional inputs – particularly offerings aligned with protein-forward trends – may be helping to re-engage young urban diners.
As consumer budgets remain under pressure, CAVA and sweetgreen illustrate that sustaining momentum in today’s dining landscape requires a deliberate, multi-pronged strategy. Thoughtful real estate decisions can expand a brand’s consumer base while innovation and loyalty programs keep existing audiences engaged.
The broader industry takeaway is clear: brands that deepen relevance across multiple consumer segments may be best positioned to compete for share-of-stomach in the months ahead.
Which restaurant brands will succeed 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.
Malls started the year on a strong note, with year-over-year traffic increases across all three mall formats. Open-air shopping centers received the largest gains, with visits up 6.2% compared to January 2025. Indoor malls, which outperformed the other formats for much of 2025, also posted solid growth of 4.5% YoY – a notable result given their already strong performance last January. Even outlet malls, which struggled to maintain growth momentum for most of 2025, saw a 3.6% increase in visits – perhaps suggesting that consumers are entering 2026 more willing to return to discretionary shopping destinations after a cautious 2025.
A closer look at the data suggests that a meaningful share of last month’s mall traffic may have been driven by post-holiday retail returns. There is some evidence that return activity was higher this January than in January 2025, and the timing of visits supports this interpretation.
Mall traffic was heavily front-loaded to the first two weeks of the year – consistent with the post-holiday returns window – with visit growth already beginning to moderate during the third week of January. (The more pronounced decline in traffic observed in the final week of the month was likely driven by the impact of Winter Storm Fern, which weighed on visits across all mall formats).
Visit duration patterns further support the idea that increased returns activity drove much of January’s mall traffic surge – the largest gains were concentrated in short visits, with trips lasting 10 minutes or less increasing by double digits across all mall formats.
At the same time, the data also shows year-over-year growth in longer visits, indicating that higher-quality, more engaged mall trips increased in January 2026 as well. So while post-holiday returns clearly played a role in driving January foot traffic, the simultaneous growth in longer trips suggests that shoppers were also spending time browsing or making additional purchases.
As 2026 unfolds, this blend of efficiency and engagement will be a key dynamic to watch: consumers appear increasingly willing to re-enter physical retail spaces, but they remain intentional about how they shop. Mall formats that can seamlessly support quick, frictionless visits while also encouraging extended dwell time may be best positioned to capture both sides of evolving consumer behavior in the year ahead.
For more data-driven retail 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.
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.
