Last-Mile Delivery Route Data

This dataset provides granular, real-world data on last-mile delivery routes, including stop-level outcomes, timing, geolocation, and package details. It enables robust analysis for optimizing logistics operations, improving route efficiency, and enhancing ETA predictions. Designed for use in logistics analytics, routing algorithm development, and operational performance benchmarking.

  • opened 5 times
  • last updated 12 Jul 2025
  • by GoMask
The brief that made it

Route optimization and efficiency analysis

Sample rows

preview · 8 of 202 rows · all 26 columns
route_idstringdelivery_statusstringdistance_traveled_kmfloatsignature_capturedbooleandelivery_address_countrystringroute_datedatevehicle_idstringdriver_idstringdelivery_idstringstop_sequenceintegercustomer_idstringdelivery_address_streetstringdelivery_address_citystringdelivery_address_statestringdelivery_address_postal_codestringscheduled_arrival_timedatetimeactual_arrival_timedatetimescheduled_departure_timedatetimeactual_departure_timedatetimefailure_reasonstringpackage_countintegerdelivered_package_countintegertravel_time_minutesfloatstop_latitudefloatstop_longitudefloatnotesstring
R101-20240410delivered0trueUSA2024-04-10VAN-001DRV-2101D001-R101-202404101CUS-3001100 Market StSan FranciscoCA941052024-04-10T09:30:00Z2024-04-10T09:32:00Z2024-04-10T09:40:00Z2024-04-10T09:42:00Zblank33037.7936-122.3965Delivered to front desk, signed by Jane.
R101-20240410delivered3.1falseUSA2024-04-10VAN-001DRV-2101D002-R101-202404102CUS-3002205 Pine StSan FranciscoCA941112024-04-10T10:00:00Z2024-04-10T10:03:00Z2024-04-10T10:10:00Z2024-04-10T10:13:00Zblank112037.792-122.3997blank
R101-20240410partial6.8trueUSA2024-04-10VAN-001DRV-2101D003-R101-202404103CUS-3003501 Van Ness AveSan FranciscoCA941022024-04-10T10:40:00Z2024-04-10T10:55:00Z2024-04-10T10:50:00Z2024-04-10T11:01:00Zblank423737.779-122.4192Customer refused 2 boxes due to damage.
R102-20240410delivered0trueUSA2024-04-10TRUCK-002DRV-3002D001-R102-202404101CUS-40211234 Jefferson AveDetroitMI482262024-04-10T08:15:00Z2024-04-10T08:14:00Z2024-04-10T08:25:00Z2024-04-10T08:27:00Zblank55042.3327-83.0485blank
R102-20240410delivered10.4falseUSA2024-04-10TRUCK-002DRV-3002D002-R102-202404102CUS-4022900 Lafayette StDetroitMI482072024-04-10T09:10:00Z2024-04-10T09:08:00Z2024-04-10T09:20:00Z2024-04-10T09:26:00Zblank225542.3459-83.0272blank
R103-20240410delivered0trueUSA2024-04-10TRUCK-004DRV-4103D001-R103-202404101CUS-50202000 Biscayne BlvdMiamiFL331372024-04-10T10:00:00Z2024-04-10T09:58:00Z2024-04-10T10:10:00Z2024-04-10T10:11:00Zblank1010025.7987-80.1914Large order, warehouse staff signed.
R103-20240410partial7.5trueUSA2024-04-10TRUCK-004DRV-4103D002-R103-202404102CUS-50211550 Brickell AveMiamiFL331292024-04-10T10:45:00Z2024-04-10T10:59:00Z2024-04-10T10:55:00Z2024-04-10T11:10:00Zblank12104525.7622-80.1948Partial delivery due to missing items.
R104-20240410delivered0falseNorway2024-04-10E-BIKE-007DRV-5101D001-R104-202404101CUS-6002Karl Johans gate 5OsloOS01542024-04-10T08:00:00Z2024-04-10T08:13:00Z2024-04-10T08:15:00Z2024-04-10T08:17:00Zblank22059.913910.7522blank

What the 202 rows show

from the 202-row sample

Failed (delivery status) stands out: mean distance_traveled_km is 3,889, against 55.7 for the rest.

  • 35%signature_captured = true
  • 0.0median distance_traveled_km
  • 49delivery address states
  • 51delivery address cities
  • 1median stop_sequence
  • 2median package_count
Mean distance_traveled_km by delivery_status202 rows
02,0004,0001.3delivered158 rows3,889failed18 rows1,000reschedu…10 rows3.2partial16 rows
distance_traveled_km202 rows, in bands of 1,000
010020019400000000805,00010kdistance_traveled_km →

Median 0.0, from 0.0 to 10,000.

delivery_address_country202 rows · top 10 of 22 values
  1. USA74
  2. Canada24
  3. Norway21
  4. Australia16
  5. Ireland10
  6. France7
  7. Atlantis6
  8. Brazil6
  9. Greece6
  10. Argentina6
26 columns by typefrom the column list below
  • string 13
  • integer 3
  • float 4
  • date 1
  • datetime 4
  • boolean 1

Columns

26 columns in four groups
blueprint · 26 columns
columntypedescriptionexample
Text 13 columns
route_idstringUnique identifier for the delivery route on a given day.uniqueR101-20240410
vehicle_idstringUnique identifier for the delivery vehicle.VAN-001
driver_idstringUnique identifier for the driver assigned to the route.DRV-2101
delivery_idstringUnique identifier for each delivery stop within a route.uniqueD001-R101-20240410
customer_idstringUnique identifier for the customer or delivery recipient.CUS-3001
delivery_address_streetstringStreet address for the delivery location.100 Market St
delivery_address_citystringCity for the delivery location.San Francisco
delivery_address_statestringState or province for the delivery location.CA
delivery_address_postal_codestringPostal or ZIP code for the delivery location.94105
delivery_address_countrystringCountry for the delivery location.USA
delivery_statusstringOutcome of the delivery (e.g., delivered, failed, rescheduled, partial).delivered · failed · rescheduled · partialdelivered
failure_reasonstringReason for delivery failure, if applicable.optionalCustomer not present
notesstringAdditional notes or comments about the delivery stop.optionalDelivered to concierge.
Numbers 7 columns
stop_sequenceintegerOrder of the stop within the route (1 = first stop, etc.).1 or more1
package_countintegerNumber of packages to be delivered at the stop.1 or more3
delivered_package_countintegerNumber of packages successfully delivered at the stop.0 or more · optional3
distance_traveled_kmfloatDistance traveled from the previous stop to this stop, in kilometers.0 or more · optional0
travel_time_minutesfloatTime taken to travel from the previous stop to this stop, in minutes.0 or more · optional0
stop_latitudefloatLatitude coordinate of the delivery stop.-90 to 9037.7936
stop_longitudefloatLongitude coordinate of the delivery stop.-180 to 180-122.3965
Dates and times 5 columns
route_datedateDate when the route was executed.2024-04-10
scheduled_arrival_timedatetimePlanned arrival time at the delivery stop.2024-04-10T09:30:00Z
actual_arrival_timedatetimeActual arrival time at the delivery stop.optional2024-04-10T09:32:00Z
scheduled_departure_timedatetimePlanned departure time from the delivery stop.optional2024-04-10T09:40:00Z
actual_departure_timedatetimeActual departure time from the delivery stop.optional2024-04-10T09:42:00Z
True or false 1 column
signature_capturedbooleanIndicates if a recipient signature was captured at delivery.optionaltrue

Use it for

  • signature capt…35%70 of 202 rowsmean distance travele…1.3deli…3.9kfail…1kresc…3.2part…

    A logistics dashboard

    The signature_captured rate, distance_traveled_km by delivery_status and a breakdown of delivery_address_country. Excel, Power BI or Tableau.

  • Why do the 18 failed rows have a mean distance_traveled_km of 3,889?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable routes with route_date, vehicle_id and driver_id to fill a screen in front of a buyer.

Not quite right?

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This dataset202 rows26 columns
Yours1,000 rows26 columnsdelivery_address_street: UK only

blueprint · last-mile-delivery-route-data

Behind this dataset

Same schema. As many rows as you need.

These 202 rows came out of a blueprint — 26 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Each delivery includes geocoded start and end points
  • Failed deliveries include failure reason
  • Time stamps required for all route points
  • Routes with missing address info excluded
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
last-mile-delivery-route-data

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