Rideshare, delivery and field operations

Add local population context to your service areas

Compare resident and daytime population estimates within the zones you operate. MarketGround also shows local jobs and businesses to support decisions about coverage, service areas and depot locations.

Create a free accountHow the daytime figure works

The problem

Compare residential and employment areas

Airports, hospitals and business districts can have substantial activity alongside small resident populations. Reviewing residents, daytime estimates and jobs together helps describe these areas. The Dallas examples show how those measures vary across six zones.

Measured

Six zones in one metro.

ZoneResidentsDaytime populationDay against nightJobs
Dallas Fort Worth airport, 3 km2340,5051,731×41,653
Downtown Dallas, 1 km10,554122,62011.6×105,396
Legacy West, Plano, 1 mile7,89079,95910.1×75,820
Deep Ellum and Baylor, 1 mile20,142142,1277.1×120,858
Arlington stadium district, 2 km14,65540,8102.8×28,835
Firewheel, Garland, 3 miles99,52870,5580.71×16,432

Swipe the table sideways to see every column.

The table compares residents, estimated daytime population and jobs for each selected area. Source details are on the methodology page.

The airport area has 23 residents and an estimated daytime population of about 40,505. Firewheel has about 100,000 residents and a daytime estimate of about 70,558. The contrast adds context when comparing the areas you serve.

What you can do with it

Compare zones and potential hubs

Draw each zone and review its residents, daytime estimate and jobs. For a depot or hub, compare the households and businesses within a chosen driving time from each candidate. Use local demographics alongside your operating data when reviewing service coverage.

The daytime population layer over central Dallas, with dense hexagons over downtown and the Arts District
The daytime layer over a metro, before any shape is drawn. Dark means more people present during the working day.

Questions

Questions people ask

Does MarketGround show demand by hour?

No, and it says so plainly. It carries two populations, the residents who sleep in an area and the people present during the working day, plus the jobs inside it by industry. That is enough to tell a morning market from an evening one and a weekday district from a weekend one, but it is not an hourly demand curve and nothing here pretends to be one.

How would I use it for zone design?

Draw a polygon, radius or travel area for each proposed zone. Compare residents, daytime population, jobs and businesses, then combine those measures with your trip patterns and operating requirements.

Can it help site a depot or a hub?

Yes. Draw a travel area from each candidate and compare the households and businesses within reach. This helps you examine how road access affects coverage.

What about airports and stadiums?

You can analyze them using the same geographic tools. For example, the three-kilometer area around Dallas Fort Worth airport has 23 residents, an estimated daytime population of 40,505 and 41,653 jobs.

Is the driver supply side covered?

Partly. Where drivers and couriers live is a resident question, so the demographics answer it, including income, vehicle commuting and the share of people who work from home. Where they are at any given hour is not something public data reports.

Other trades

Explore other industries

Explore other industry examples or visit the research section for studies and practical guides.

Commercial real estate

Add local population, employment and travel access information to commercial property analysis.

Retail chains

Compare candidate stores with existing locations using consistent demographic and business measures.

Franchise brands and franchisees

Evaluate proposed territories and examine their overlap with existing franchise locations.

Review a zone you already serve

Compare its residents, daytime estimate and jobs with the demand patterns in your own operating data.

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