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Analyzing Restaurant and Nightlife Data with Context Dining & Nightlife Scores

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Maponics has released its newest addition to the Context™ product suite: Dining & Nightlife Scores.

This dataset provides a snapshot of how easy it is to reach restaurants, bars and clubs within a Maponics boundary, such as a neighborhood.

Maponics has done all the “heavy lifting” of calculating all the possible driving routes to five types of dining and nightlife points of interest (POIs):
restaurant and nightlife data

  • Fine Dining
  • Family Dining
  • Fast Food
  • Bars
  • Clubs

How Dining & Nightlife Scores Works

To generate Dining & Nightlife Scores, Maponics analyzed national POI data for restaurants, nightclubs and bars and mapped them onto a street network, deriving dozens of various routes a driver could take to reach these POIs.

Each score represents accessibility to POIs by driving from an origin point within a boundary. Scores range from 0.0 to 5.0 – with 5.0 being the highest, most accessible score.

Scores were calculated by:

  • finding population densities within each boundary and then deriving origin points for route calculations within them,
  • looking at all available POIs within a maximum distance of 15 minutes’ driving time from those origin points and
  • taking into account the effect of the road types, road classifications and speed limits.

Once scores were calculated for every boundary, we created a national score – so a score of 4.5 in New York City equals a 4.5 for San Francisco.

restaurant and lifestyle data

Mynt Lounge, a nightclub in Miami Beach, Florida. At 4.1, the City Center neighborhood, where Mynt Lounge is located, has a high Clubs Score. Image source: South Beach Magazine

Who Can Use Dining & Nightlife Scores

Dining & Nightlife Scores helps consumers understand which neighborhoods have the most access to restaurants, bars and clubs, suggesting the best places to look for a property if they’re looking for a vibrant home base.

Dining & Nightlife Scores is also helpful for investors: Studies show that properties that are closer to POIs, such as restaurants, often hold their value more successfully than those farther from POIs, making those properties a potentially more sound investment.

restaurant and nightlife data

Pearl Restaurant and Champagne lounge in the South Point neighborhood of Miami Beach, Florida. Also known as South Beach, this energetic neighborhood boasts a 4.1 Fine Dining Score. Image source: South Beach Magazine

Dining & Nightlife – Valuable Addition to Context Product Family

When combined with Context Demographics, Context PRIZM, Context Walkability™ and the other datasets within the Context suite, Dining & Nightlife is a valuable tool that helps the real estate industry, social media applications, direct marketing firms and many others leverage the benefits of highly granular, descriptive data.

“Dining & Nightlife is one more component in building a comprehensive picture of what is happening in a particular area,” said Mike Villarreal, Maponics Context Product Manager. “It gives the true ‘flavor’ of a neighborhood.”

To learn more about Context Dining & Nightlife Scores, get in touch.


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