Enter the total miles driven and the delivery rate ($/mile) into the Calculator. The calculator will evaluate the Food Delivery Charge. 

Food Delivery Charge Formula

FDC = M * DR


  • FDC is the Food Delivery Charge ($)
  • M is the total miles driven
  • DR is the delivery rate ($/mile)

To calculate Food Delivery Charge, multiply the total miles driven by the delivery rate.

How to Calculate Food Delivery Charge?

The following steps outline how to calculate the Food Delivery Charge.

  1. First, determine the total miles driven. 
  2. Next, determine the delivery rate ($/mile). 
  3. Next, gather the formula from above = FDC = M * DR.
  4. Finally, calculate the Food Delivery Charge.
  5. After inserting the variables and calculating the result, check your answer with the calculator above.

Example Problem : 

Use the following variables as an example problem to test your knowledge.

total miles driven = 300

delivery rate ($/mile) = 1.2


How is the delivery rate determined for food delivery services?

The delivery rate can vary based on several factors including distance, demand, and the delivery service’s pricing model. It’s often set by the delivery company and can change based on time of day and delivery location.

Can the Food Delivery Charge vary for the same distance?

Yes, the Food Delivery Charge can vary due to changes in the delivery rate, which might be influenced by factors like fuel prices, demand surges, and specific promotions or discounts applied by the delivery service.

Are there any ways to reduce the Food Delivery Charge?

Customers can reduce the Food Delivery Charge by looking for promotions, choosing delivery times with lower rates, or subscribing to membership programs that offer discounted delivery fees.

How do food delivery services calculate the delivery time?

Delivery time is calculated based on several factors including the distance from the pickup location to the delivery address, current traffic conditions, and the time it takes for the food to be prepared. Some services use algorithms to predict delivery times more accurately.