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Delivery Density Calculator — Stops Per Mile & Zone Efficiency

Calculate delivery density — stops per mile and stops per square mile — for your last-mile routes. Higher density = lower cost per stop. Use it to design delivery zones and set driver productivity targets.

Quick answer: Dense urban routes: 30–60 stops/hour, 15–25 stops per route mile. Suburban: 15–25 stops/hour, 8–15 per mile. Rural: 8–15 stops/hour, 3–8 per mile. Density drives everything in last-mile economics.

📍 Delivery Density Calculator

Time at door — signature, scan, package placement
Optional — for stops/sq mile calculation
Stops Per Mile
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Stops Per Hour
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Route Category
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How to Use This Calculator

  1. Enter stops and route miles — from your route planning system or driver records.
  2. Enter shift hours — total time from depot to depot.
  3. Set average service time — measure actual time at door — it varies from 1 min (drop-off) to 10 min (signature + large item).
  4. Add zone area — optional — for stops-per-square-mile density analysis.

Worked Example

85 stops, 42 route miles, 9 hour shift, 3 min service time, 12 sq mile zone.

  1. Stops/mile: 85 ÷ 42 = 2.02 stops/mile (suburban)
  2. Stops/hour: 85 ÷ 9 = 9.4 stops/hr
  3. Service time: 85 × 3 = 255 min (4.25 hrs)
  4. Drive time: 9 hrs − 4.25 = 4.75 hrs = 52% of shift driving
  5. Stops/sq mile: 85 ÷ 12 = 7.1 stops/sq mile

At 2 stops/mile and 9.4 stops/hour, this is a suburban route. The 52% driving time signals room for improvement — denser zone design or route optimization could push this to 65–75 stops with the same shift time.

Frequently Asked Questions

Urban parcel delivery benchmarks: 25–40 stops/hour for standard residential. Amazon DSP routes target 150–200 stops per day in high-density areas (about 20–30/hour on a 7-hour delivery window). B2B delivery and large item delivery run 8–20 stops/hour. Your target depends on your service type and market.

Tighten geographic zones (reduce the service area per driver), increase delivery days in each area (reduces total deliveries per run but increases density), implement micro-hubs or UPS-style delivery lockers in apartment buildings, and use demand forecasting to batch deliveries to the same address on a predictable schedule.