DoorDash vs Uber Eats: Same City. Different Spending Hotspots.
Getplace's estimated spending hotspots for DoorDash and Uber Eats don't quite match in New York. See what that means for local growth and restaurant choice.

Put Getplace's New York maps side by side and the overlap is easy to spot. Both DoorDash and Uber Eats have estimated spending hotspots through central and lower Manhattan, with separate clusters in Brooklyn. Look closer, though, and the highlighted areas don't quite line up. Getplace's New York research
That mismatch gives platform teams something a citywide figure cannot: a reason to reconsider where they compete, which restaurants they recruit and what customers can actually order in each area.
The Manhattan overlap is only part of the picture
The broad resemblance between the maps could tempt a team to put both platforms on the same local growth plan. Target the familiar hotspots, build restaurant choice around them and compete for orders.
But Getplace's estimates suggest that the geography deserves more attention. The selected spending pockets overlap without forming an identical pattern. A location that stands out on one platform's map does not necessarily stand out on the other's.
For a team deciding where to focus, that distinction is useful. Shared hotspots invite a close comparison of the customer offer. Differences between the maps raise another possibility: the platforms may be reaching different pockets of demand within the same city.
Restaurant selection, prices and delivery availability are explanations to test. Sample selection and the way the maps were constructed could also contribute to the displayed differences. The finding gives that work a place to start; it does not establish the cause.
Millions of deliveries still leave a local question
New York's public data gives a sense of the scale involved. In October–December 2024, the city's Department of Consumer and Worker Protection reported 2.72 million deliveries per week and US$109.1 million in weekly consumer spending across five apps. The spending figure includes order subtotals, consumer fees, tips and taxes. NYC delivery-app report, Q4 2024
Those are historical figures for DoorDash, FanTuan, Grubhub, HungryPanda and Uber Eats combined, with possible non-restaurant deliveries included. They provide context for the size of the business, rather than a total to divide between Getplace's map cells.
For an acquisition manager, the unresolved question is much smaller: which restaurants would make the app more useful to customers in the area being targeted?
A citywide spending figure cannot answer that. Neither can a hotspot on its own. The value comes from connecting a spending pattern to the choices available at a particular address.
The biggest category is not always the busiest per listing
A separate Getplace study of Deliveroo UK in July 2026 shows why the category question deserves attention. Groceries & Convenience led its estimated transaction mix at 17.1%, ahead of Burgers and Chicken. But a category's size was only part of the story.
Deliveroo UK category, July 2026 | Share of estimated transactions | Estimated transactions per active listing, July 2026 (rounded) |
|---|---|---|
Salads & Bowls | 1.9% | 1,099 |
Pizza | 6.6% | 177 |
Pizza took a larger share of estimated transactions. Salads & Bowls had higher average estimated activity per active listing. The categories change places when the comparison shifts from total activity to activity per listing. These are Getplace's modelled figures, not results reported by Deliveroo. Denis Chernobaev's Deliveroo UK category analysis
This is a UK transaction comparison, not a finding about New York spending. Nor does higher activity per listing prove unmet demand or better profitability. It makes the next question sharper: which categories and merchants account for the activity inside a hotspot, and how much choice is already available?
For the New York maps, that is a direction for further analysis. Grocery orders, restaurant meals and different restaurant categories could call for different merchant priorities. The maps alone do not establish that mix.
A busy hotspot can still hide a gap in restaurant choice
NYC's Health Department describes approximately 28,000 restaurants that it inspects annually. That is a large pool of potential supply, although it is not a count of restaurants available on either app. NYC restaurant food-safety data
Consider a hypothetical dinner order in an area highlighted on both maps. A customer opens the two apps. One offers the restaurant they want; the other does not. Recruiting that restaurant could give the second app a more relevant offer. Adding another restaurant in an already well-served category might do little to solve the same problem.
Now change the example. Both apps offer the same restaurant, but the checkout price or promised delivery time differs. Recruiting more merchants may leave that competitive disadvantage untouched.
These are different commercial problems, even though they begin in the same spending hotspot. They call for different work: merchant acquisition in one case, a closer look at the customer offer in the other.
Getplace's maps do not tell us which explanation applies to a specific New York area. They help frame a more useful comparison than restaurant counts alone. Connecting demand estimates with restaurant choice, pricing and availability is the practical role of delivery analytics.
Give each local growth plan a reason
The commercial value of a spending map lies in what it changes about the next decision. Before assigning an area to an acquisition team or putting a campaign behind it, establish what the platform could improve there: the categories it offers, the merchants within them or the customer offer itself.
Getplace's New York finding gives teams a reason to make those distinctions. Two platforms can appear in many of the same hotspots and still need different local priorities. A growth plan becomes more convincing when it can name the gap it intends to close.
About the data
Getplace's maps use consumer receipt-panel observations and proprietary statistical modelling to estimate relative spending intensity in selected New York areas. They do not report actual platform expenditure, revenue or market share. The source post does not disclose the research period, sample size, cell definitions or colour-scale normalisation. This article therefore compares the published patterns qualitatively; it does not rank neighbourhoods, compare colour values between platforms or treat unhighlighted areas as having no demand.
The Deliveroo UK category comparison is a separate Getplace model for July 2026. Its transaction shares and per-store figures are not New York spending measures; the source does not set out the detailed active-listing eligibility rules. The public NYC figures provide separate context and do not validate either Getplace analysis. The restaurant count is an approximate figure from an undated NYC Health page. Getplace is independent of DoorDash and Uber Eats and is not affiliated with, sponsored by or endorsed by either platform.
Have a city and a platform comparison in mind? Talk to Getplace about the local question you want to answer.
Sources
- Getplace / Denis Chernobaev. New York delivery spending maps. LinkedIn post; research period and exact publication date not established. Accessed 15 September 2026.
- NYC Department of Consumer and Worker Protection. Restaurant Delivery App Data: October–December 2024. Tables 1–2 and technical note; publication date not stated in the document. Accessed 15 September 2026.
- NYC Department of Health and Mental Hygiene. Restaurant food safety. Undated information page. Accessed 15 September 2026.
- Getplace / Denis Chernobaev. Deliveroo UK Category Ranking 2026: Groceries Lead Burgers and Chicken. July 2026 research; exact publication date not established. Article text and accompanying table accessed 15 September 2026.
Getplace Team
The team behind Getplace delivery intelligence platform

