Government Disaster Relief Supply Logistics

This dataset provides detailed tracking of government disaster relief supply shipments, including inventory levels, shipment routes, delivery outcomes, and bottleneck identification. It enables municipal managers and analysts to optimize stock allocations, monitor supply chain performance, and improve emergency response times during disasters.

  • last updated 7 Dec 2025
  • by GoMask
The brief that made it

Analyzing supply chain bottlenecks and delays in disaster relief operations

Sample rows

preview · 8 of 75 rows · all 32 columns
shipment_idstringshipment_prioritystringquantity_shippedintegerdelivery_successbooleanorigin_statestringinventory_item_idstringitem_namestringitem_categorystringorigin_facility_idstringorigin_facility_namestringorigin_street_addressstringorigin_citystringorigin_postal_codestringorigin_countrystringdestination_facility_idstringdestination_facility_namestringdestination_street_addressstringdestination_citystringdestination_statestringdestination_postal_codestringdestination_countrystringshipment_departure_datetimedatetimeshipment_arrival_datetimedatetimedelivery_statusstringinventory_level_at_originintegerinventory_level_at_destinationintegertransport_modestringestimated_arrival_datetimedatetimeactual_travel_time_hoursfloatbottleneck_flagbooleanbottleneck_descriptionstringdelivery_failure_reasonstring
SHIP0001high250trueTXITEMA1Bottled WaterfoodFAC001Central Distribution Center123 Main StHouston77001USAFAC012West Relief Warehouse789 West AveDallasTX75001USA2023-03-15T09:30:002023-03-15T17:45:00delivered900550truck2023-03-15T18:00:008.25falseblankblank
SHIP0002medium120trueTXITEMB2BlanketsshelterFAC002South Storage Hub654 Oak LnAustin73301USAFAC010East Relief Center321 East BlvdSan AntonioTX78205USA2023-03-16T10:00:002023-03-16T14:45:00delivered400180truck2023-03-16T15:30:004.75falseblankblank
SHIP0003high60falseOKITEMC3Medical KitsmedicalFAC003North Medical Depot987 Pine RdOklahoma City73101USAFAC013Central Health Center741 Central PkwyNormanOK73069USA2023-03-17T08:15:002023-03-17T10:00:00in_transit150blanktruck2023-03-17T10:30:00blankfalseblankblank
SHIP0004medium150trueIAITEMD4Sanitation WipeshygieneFAC004Midwest Relief Depot432 Maple AveDes Moines50309USAFAC014Cedar Rapids Center159 Cedar RdCedar RapidsIA52401USA2023-03-18T13:00:002023-03-18T17:10:00delivered300180truck2023-03-18T17:00:004.17trueHeavy traffic on I-80 caused a 10 min delayblank
SHIP0005high320falseCAITEME5Canned SoupfoodFAC005West Coast Facility321 Ocean BlvdLos Angeles90001USAFAC020San Jose Relief Point555 Relief DrSan JoseCA95112USA2023-03-19T07:45:002023-03-19T14:30:00delayed650blanktruck2023-03-19T13:00:006.75trueTruck breakdown caused extended delayblank
SHIP0006medium80trueTXITEMF6First Aid PacksmedicalFAC001Central Distribution Center123 Main StHouston77001USAFAC015Galveston Response Hub222 Bay Area BlvdGalvestonTX77550USA2023-03-20T11:10:002023-03-20T12:55:00delivered10060truck2023-03-20T12:45:001.75falseblankblank
SHIP0007low45falseTXITEMG7Sleeping BagsshelterFAC002South Storage Hub654 Oak LnAustin73301USAFAC017El Paso Care Point401 Sunland Park DrEl PasoTX79912USA2023-03-21T10:20:00blankin_transit90blankrail2023-03-21T21:00:00blankfalseblankblank
SHIP0008medium200trueOKITEMH8Hand SanitizerhygieneFAC003North Medical Depot987 Pine RdOklahoma City73101USAFAC018Tulsa Relief Center1010 Greenwood AveTulsaOK74120USA2023-03-22T14:00:002023-03-22T17:40:00delivered350120truck2023-03-22T17:00:003.67trueMinor vehicle incident delayed arrivalblank

What the 75 rows show

from the 75-row sample

High (shipment priority) stands out: mean quantity_shipped is 192.3, against 86.0 for the rest.

  • 79%delivery_success = true
  • 80median quantity_shipped
  • 3origin countries
  • 3destination countries
  • 4transport modes
  • 5item categories
Mean quantity_shipped by shipment_priority75 rows
0100200192.3high19 rows92.7medium41 rows67.6low15 rows
quantity_shipped75 rows, in bands of 50
0153018261086230110250500quantity_shipped →

Median 80, from 8 to 500.

origin_state75 rows · top 10 of 26 values
  1. TX13
  2. OK11
  3. CA11
  4. IA9
  5. FL3
  6. CO3
  7. ON2
  8. NY2
  9. IL2
  10. KS2
32 columns by typefrom the column list below
  • string 23
  • integer 3
  • float 1
  • datetime 3
  • boolean 2

Columns

32 columns in four groups
blueprint · 32 columns
columntypedescriptionexample
Text 23 columns
shipment_idstringUnique identifier for each shipment of disaster relief supplies.uniqueSHIP0001
inventory_item_idstringUnique identifier for each inventory item included in the shipment.ITEMA1
item_namestringName of the inventory item (e.g., bottled water, blankets, medical kits).Bottled Water
item_categorystringCategory of the inventory item (e.g., food, medical, shelter, hygiene).food · medical · shelter · hygiene · otherfood
origin_facility_idstringUnique identifier for the facility where the shipment originated.FAC001
origin_facility_namestringName of the origin facility.South Storage Hub
origin_street_addressstringStreet address of the origin facility.123 Main St
origin_citystringCity of the origin facility.Houston
origin_statestringState or province of the origin facility.TX
origin_postal_codestringPostal code of the origin facility.77001
origin_countrystringCountry of the origin facility.3 countriesUSA
destination_facility_idstringUnique identifier for the facility where the shipment is delivered.FAC012
destination_facility_namestringName of the destination facility.West Relief Warehouse
destination_street_addressstringStreet address of the destination facility.789 West Ave
destination_citystringCity of the destination facility.Dallas
destination_statestringState or province of the destination facility.TX
destination_postal_codestringPostal code of the destination facility.75001
destination_countrystringCountry of the destination facility.3 countriesUSA
delivery_statusstringCurrent status of the shipment delivery.pending · in_transit · delivered · failed · delayeddelivered
delivery_failure_reasonstringReason for delivery failure, if applicable.optionalTrain derailment halted d…
shipment_prioritystringPriority level assigned to the shipment.high · medium · lowhigh
transport_modestringMode of transportation used for the shipment.truck · air · rail · ship · othertruck
bottleneck_descriptionstringDescription of the bottleneck or delay, if applicable.optionalHeavy traffic on I-80 cau…
Numbers 4 columns
quantity_shippedintegerNumber of units of the item shipped in this shipment.1 or more250
inventory_level_at_originintegerInventory level of the item at the origin facility prior to shipment.0 or more900
inventory_level_at_destinationintegerInventory level of the item at the destination facility after arrival.0 or more · optional550
actual_travel_time_hoursfloatActual travel time in hours from departure to arrival.0 or more · optional8.25
Dates and times 3 columns
shipment_departure_datetimedatetimeDate and time when the shipment departed from the origin facility.2023-03-15T09:30:00
shipment_arrival_datetimedatetimeDate and time when the shipment arrived at the destination facility.optional2023-03-15T17:45:00
estimated_arrival_datetimedatetimeEstimated date and time of arrival at the destination.2023-03-15T18:00:00
True or false 2 columns
delivery_successbooleanIndicates whether the shipment was successfully delivered.true
bottleneck_flagbooleanIndicates whether this shipment experienced a bottleneck or delay.optionalfalse

Use it for

  • delivery succe…79%59 of 75 rowsmean quantity shipped…192.3high92.7medium67.6low

    A logistics dashboard

    The delivery_success rate, quantity_shipped by shipment_priority and a breakdown of origin_state. Excel, Power BI or Tableau.

  • Why do the 19 high rows have a mean quantity_shipped of 192.3?

    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 shipments with inventory_item_id, item_name and item_category to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 32 columns, your size and your rules. See 20 rows before you pay.

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This dataset75 rows32 columns
Yours1,000 rows32 columnsorigin_street_address: UK only

blueprint · government-disaster-relief-supply-logistics

Behind this dataset

Same schema. As many rows as you need.

These 75 rows came out of a blueprint — 32 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 record represents a unique supply shipment for a specific disaster event.
  • Shipments must include source, type of relief goods, destination center, quantity, and priority level.
  • Delivery status must be updated with actual arrival date and any delays over 24 hours flagged.
  • Inventory depletion at receiving centers triggers automated restock alerts if below critical threshold.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
government-disaster-relief-supply-logistics

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