Nonprofit Supply Delivery Timeliness

This dataset provides detailed records of relief supply deliveries to nonprofit organizations, including scheduled and actual delivery times, locations, supply types, quantities, and delivery status. It is designed to help nonprofits and logistics partners analyze punctuality, optimize distribution planning, and transparently report operational outcomes to stakeholders. The dataset supports bottleneck identification, impact measurement, and continuous improvement in supply chain management.

  • last updated 14 Dec 2025
  • by GoMask
The brief that made it

Analyze delivery punctuality and identify operational bottlenecks

Sample rows

preview · 8 of 85 rows · all 20 columns
delivery_idstringdelivery_partnerstringsupply_quantityfloatdelivery_location_statestringnonprofit_idstringnonprofit_namestringdelivery_date_scheduleddatedelivery_date_actualdatedelivery_time_scheduledstringdelivery_time_actualstringdelivery_location_streetstringdelivery_location_citystringdelivery_location_postal_codestringdelivery_location_countrystringsupply_typestringdelivery_statusstringdelay_reasonstringdriver_namestringvehicle_idstringdelivery_notesstring
DEL1001SwiftLogistics120.5ILNP001Hope for All Foundation2023-03-152023-03-1509:3009:45512 Oak AveSpringfield62704USAfooddelayedTraffic congestionMaria GomezVH-0021Supplies received with minor delay due to roadworks.
DEL1002ExpressCargo53.7ORNP002Global Relief Group2023-03-162023-03-1611:0011:00789 Maple DrPortland97205USAmedicalon_timeblankJames LeeVH-0045All medical kits delivered as scheduled.
DEL1003ReliefTransport30TXNP003Shelter Aid International2023-03-172023-03-1714:3014:5423 Elm StreetDallas75204USAshelterdelayedAccident on routeSarah AhmedVH-0097Late arrival, shelters intact.
DEL1004SwiftLogistics90.2ILNP001Hope for All Foundation2023-03-202023-03-2010:1510:15512 Oak AveSpringfield62704USAfoodon_timeblankMaria GomezVH-0021No issues reported.
DEL1005CargoDirect64.8CONP004Children's Aid Network2023-04-012023-04-0312:0015:001802 Willow LnDenver80203USAmedicaldelayedVehicle breakdownRobert SinghVH-0063Delivery rescheduled after repair.
DEL1006ExpressCargo38WANP005Hands United2023-04-052023-04-0508:4508:5055 Pine StSeattle98101USAshelterdelayedLate loading at warehouseEmily TranVH-0120Slightly late, no damage.
DEL1007ReliefTransport110FLNP006Global Hope2023-04-102023-04-1013:2013:20980 Cedar DrMiami33101USAfoodon_timeblankCarlos MendezVH-0078All supplies checked and received.
DEL1008SwiftLogistics48.3ORNP002Global Relief Group2023-04-112023-04-1110:0010:00789 Maple DrPortland97205USAmedicalon_timeblankJames LeeVH-0045Medical supplies delivered on schedule.

What the 85 rows show

from the 85-row sample

QuickRelief Logistics (delivery partner) stands out: mean supply_quantity is 166.9, against 65.6 for the rest.

  • 66.2median supply_quantity
  • 2delivery statuses
  • 3supply types
  • 22nonprofit names
Mean supply_quantity by delivery_partner85 rows
010020069.1MedT…15 ro…90.2Carg…14 ro…166.9Quic…14 ro…52.9Safe…13 ro…48.9Reli…11 ro…66.8Swif…10 ro…57.8Expr…8 rows
supply_quantity85 rows, in bands of 25
0153012326119713310125250supply_quantity →

Median 66.2, from 22.0 to 230.2.

delivery_location_state85 rows · top 10 of 33 values
  1. IL9
  2. FL7
  3. OH6
  4. OR5
  5. TX5
  6. CO5
  7. WA5
  8. MA5
  9. AZ4
  10. CA4
20 columns by typefrom the column list below
  • string 17
  • float 1
  • date 2

Columns

20 columns in three groups
blueprint · 20 columns
columntypedescriptionexample
Text 17 columns
delivery_idstringUnique identifier for each supply delivery eventuniqueDEL1001
nonprofit_idstringUnique identifier for the nonprofit organization receiving the deliveryNP001
nonprofit_namestringName of the nonprofit organizationHope for All Foundation
delivery_time_scheduledstringScheduled time for the supply delivery (24-hour format HH:MM)optional09:30
delivery_time_actualstringActual time when the supply delivery occurred (24-hour format HH:MM)optional09:45
delivery_location_streetstringStreet address of the delivery location512 Oak Ave
delivery_location_citystringCity of the delivery locationSpringfield
delivery_location_statestringState or province of the delivery locationIL
delivery_location_postal_codestringPostal code of the delivery location62704
delivery_location_countrystringCountry of the delivery locationUSA
supply_typestringType of relief supplies delivered (e.g., food, medical, shelter)3 typesfood
delivery_statusstringStatus of the delivery (e.g., on_time, delayed, cancelled)on_time · delayed · cancelled · pendingdelayed
delay_reasonstringReason for delivery delay, if applicableoptionalTraffic congestion
delivery_partnerstringName of the logistics or delivery partner7 partners · optionalSwiftLogistics
driver_namestringName of the delivery driveroptionalMaria Gomez
vehicle_idstringIdentifier for the delivery vehicleoptionalVH-0021
delivery_notesstringAdditional notes or comments about the deliveryoptionalNo issues reported.
Numbers 1 column
supply_quantityfloatQuantity of supplies delivered (in standardized units)0 or more120.5
Dates and times 2 columns
delivery_date_scheduleddateScheduled date for the supply delivery2023-03-15
delivery_date_actualdateActual date when the supply delivery occurred2023-03-15

Use it for

  • median supply …66.285 rowsmean supply quantity …69.1MedT…90.2Carg…166.9Quic…52.9Safe…

    A logistics dashboard

    Supply_quantity by delivery_partner and a breakdown of delivery_location_state. Excel, Power BI or Tableau.

  • Why do the 14 QuickRelief Logistics rows have a mean supply_quantity of 166.9?

    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 deliveries with nonprofit_id, nonprofit_name and delivery_date_scheduled to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 20 columns, your size and your rules. See 20 rows before you pay.

Preview 20 rows free

1,000 rows: $1.99 · 10,000: $12.99One-time. No subscription. All prices

This dataset85 rows20 columns
Yours1,000 rows20 columnsdelivery_location_street: UK only

blueprint · nonprofit-supply-delivery-timeliness

Behind this dataset

Same schema. As many rows as you need.

These 85 rows came out of a blueprint — 20 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 row represents a unique supply delivery event.
  • Include planned vs. actual delivery date and time.
  • Flag delivery delays over 24 hours.
  • Capture delivery location type (urban/rural/remote).
  • Tag urgent vs. routine supply categories.
  • Include recipient feedback on delivery success.
Rows
Open the blueprint in Data Factory

1 credit per row. Preview 20 rows free. Buy rows for the full run.

Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
nonprofit-supply-delivery-timeliness

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