Humanitarian Aid Supply Chain Tracker

This dataset provides comprehensive tracking of humanitarian aid shipments, capturing every stage from donor source to field delivery. It includes detailed information on shipment routes, itemized inventory, compliance checks, and risk management, empowering nonprofits and relief organizations to optimize logistics, ensure regulatory compliance, and respond rapidly to supply chain disruptions.

  • last updated 25 Jan 2026
  • by GoMask
The brief that made it

Real-time monitoring and optimization of humanitarian supply chains

Sample rows

preview · 8 of 48 rows · all 38 columns
shipment_idstringitem_categorystringitem_quantityintegerrisk_flagbooleanitem_unitstringdonor_idstringdonor_namestringorigin_warehouse_idstringorigin_warehouse_namestringorigin_street_addressstringorigin_citystringorigin_statestringorigin_postal_codestringorigin_countrystringdestination_field_idstringdestination_field_namestringdestination_street_addressstringdestination_citystringdestination_statestringdestination_postal_codestringdestination_countrystringshipment_datedateexpected_delivery_datedateactual_delivery_datedatedelivery_statusstringroute_idstringroute_descriptionstringtransport_modestringcarrier_namestringitem_idstringitem_namestringcurrent_inventory_levelintegercompliance_statusstringcompliance_notesstringrisk_notesstringlast_status_updatedatetimeprogram_manager_idstringprogram_manager_namestring
SHIP0001food500falseboxesDON101Global Aid FoundationWH01Berlin Central DepotAlexanderplatz 5BerlinBerlin10178GermanyFIELD201Kampala Relief CenterPlot 15, Jinja RdKampalaKampala25601Uganda2024-03-102024-03-202024-03-21deliveredRT100Berlin - Istanbul - Nairobi - KampalaairLufthansa CargoITEM001High-nutrition Biscuits1500compliantAll customs and donor protocols met.blank2024-03-21T10:30:00PMGR01Anna Müller
SHIP0002medical300falsekitsDON102Health for AllWH02Brussels North HubRue du Progrès 54BrusselsBrussels1030BelgiumFIELD202Goma Medical CampAvenue de la Victoire 17GomaNorth Kivu24302DR Congo2024-04-052024-04-182024-04-18deliveredRT101Brussels - Kinshasa - GomaairAir CongoITEM002First Aid Kits800compliantWHO standards followed.blank2024-04-18T14:45:00PMGR02Jean Dumont
SHIP0003water10000falsetabletsDON103Clean Water InitiativeWH03Rotterdam Port StorageMaasvlakteweg 23RotterdamSouth Holland3199NetherlandsFIELD203Cox's Bazar CampBlock E, Camp 12Cox's BazarChattogram4700Bangladesh2024-02-282024-03-122024-03-13deliveredRT102Rotterdam - Dubai - Dhaka - Cox's BazarseaMaersk LineITEM003Water Purification Tablets40000compliantBatch tested for safety.blank2024-03-13T17:15:00PMGR03Farhana Rahman
SHIP0004shelter50falseunitsDON104Shelter NowWH04Milan Aid StorageVia Torino 102MilanLombardy20123ItalyFIELD204Gaziantep OutreachŞehitkamil Mah.GaziantepGaziantep27010Turkey2024-03-122024-03-182024-03-18deliveredRT103Milan - Rome - Istanbul - GazianteproadDHL LogisticsITEM004Emergency Tents120compliantFire-resistant certification present.blank2024-03-18T09:20:00PMGR04Alessandro Rossi
SHIP0005hygiene2000truepacksDON105Hygiene For HumanityWH05Warsaw East Warehouseul. Marszałkowska 126WarsawMasovian00-008PolandFIELD205Lviv ShelterSvobody Ave 27LvivLviv79000Ukraine2024-04-012024-04-032024-04-04delayedRT104Warsaw - Krakow - LvivroadOrlen TransportITEM005Sanitary Napkins3500compliantPackaging verified.Border delay due to paperwork.2024-04-04T16:05:00PMGR05Olga Kovalchuk
SHIP0006education800falsepiecesDON106Education For TomorrowWH06London Thames HubThames Rd 18LondonGreater LondonSE18 6HZUKFIELD206Mogadishu Learning SiteKm4, Hodan DistrictMogadishuBenadir9999Somalia2024-03-152024-03-29blankin_transitRT105London - Nairobi - MogadishuairKenya AirwaysITEM006School Backpacksblankpending_reviewAwaiting Somalia customs approval.blank2024-03-27T11:00:00PMGR06Mohamed Hassan
SHIP0007food1200falsekgDON107Food Security TrustWH07Madrid Humanitarian CenterCalle Gran Vía 42MadridMadrid28013SpainFIELD207Marrakech Aid StationRue Ibn Sina 9MarrakechMarrakech-Safi40000Morocco2024-04-112024-04-15blankpendingRT106Madrid - Tangier - MarrakechroadTransibericaITEM007Rice Bagsblankpending_reviewDocumentation pending.blank2024-04-12T09:45:00PMGR07Maria Garcia
SHIP0008medical5000falsevialsDON108Medical Relief AllianceWH08Geneva Medical SuppliesRue du Rhône 22GenevaGeneva1204SwitzerlandFIELD208Aleppo HospitalAl-Furqan DistrictAleppoAleppo10000Syria2024-02-192024-03-052024-03-07deliveredRT107Geneva - Ankara - AleppomixedMedtransITEM008Antibiotics9000compliantBatch tested, temperature logs attached.blank2024-03-07T20:30:00PMGR08Leila Al-Sayed

What the 48 rows show

from the 48-row sample

Medical (item category) stands out: mean item_quantity is 5,045, against 1,663 for the rest.

  • 15%risk_flag = true
  • 1,500median item_quantity
  • 2compliance statuses
  • 4delivery statuses
  • 5transport modes
  • 10donors
Mean item_quantity by item_category48 rows
04,0008,0002,042food12 rows5,045medic…11 rows575.0shelt…6 rows2,079water5 rows1,944hygie…9 rows1,140educa…5 rows
item_quantity48 rows, in bands of 2,000
0153029112221108,00014kitem_quantity →

Median 1,500, from 25 to 14,000.

item_unit48 rows · top 10 of 22 values
  1. units8
  2. kg5
  3. bottles4
  4. packs3
  5. pieces3
  6. kits2
  7. tablets2
  8. bars2
  9. sheets2
  10. books2
38 columns by typefrom the column list below
  • string 31
  • integer 2
  • date 3
  • datetime 1
  • boolean 1

Columns

38 columns in four groups
blueprint · 38 columns
columntypedescriptionexample
Text 31 columns
shipment_idstringUnique identifier for each shipment recorduniqueSHIP0001
donor_idstringUnique identifier for the donor organization or individual10 donorsDON101
donor_namestringName of the donor organization or individual10 namesGlobal Aid Foundation
origin_warehouse_idstringUnique identifier for the warehouse or source location10 warehousesWH01
origin_warehouse_namestringName of the warehouse or source location10 namesBerlin Central Depot
origin_street_addressstringStreet address of the origin warehouse10 addresses · optionalAlexanderplatz 5
origin_citystringCity of the origin warehouse10 cities · optionalBerlin
origin_statestringState or province of the origin warehouse10 states · optionalBerlin
origin_postal_codestringPostal code of the origin warehouse10 codes · optional10178
origin_countrystringCountry of the origin warehouse10 countriesGermany
destination_field_idstringUnique identifier for the field location or recipient siteFIELD201
destination_field_namestringName of the field location or recipient siteKampala Relief Center
destination_street_addressstringStreet address of the destination field locationoptionalPlot 15, Jinja Rd
destination_citystringCity of the destination field locationoptionalKampala
destination_statestringState or province of the destination field locationoptionalKampala
destination_postal_codestringPostal code of the destination field locationoptional25601
destination_countrystringCountry of the destination field locationUganda
delivery_statusstringCurrent status of the shipment delivery6 valuesdelivered
route_idstringUnique identifier for the route taken by the shipmentoptionalRT100
route_descriptionstringDescription or summary of the shipment routeoptionalWarsaw - Krakow - Lviv
transport_modestringPrimary mode of transport used for the shipmentroad · air · sea · rail · mixedair
carrier_namestringName of the logistics provider or carrieroptionalLufthansa Cargo
item_idstringUnique identifier for the aid item in the shipmentITEM001
item_namestringName or description of the aid itemHigh-nutrition Biscuits
item_categorystringCategory of the aid item (e.g., food, medical, shelter, water, hygiene)7 valuesfood
item_unitstringUnit of measurement for the item quantity (e.g., boxes, kg, liters)boxes
compliance_statusstringIndicates if the shipment complies with regulatory and donor requirementscompliant · non_compliant · pending_reviewcompliant
compliance_notesstringNotes or details regarding compliance checks or issuesoptionalWHO standards followed.
risk_notesstringDetails about any risks or incidents associated with this shipmentoptionalMinor customs issue.
program_manager_idstringUnique identifier for the program manager responsible for this shipment10 managers · optionalPMGR01
program_manager_namestringName of the program manager responsible for this shipment10 names · optionalAnna Müller
Numbers 2 columns
item_quantityintegerQuantity of the aid item in the shipment1 or more500
current_inventory_levelintegerCurrent inventory level of this item at the destination location after delivery0 or more · optional1500
Dates and times 4 columns
shipment_datedateDate when the shipment was dispatched2024-03-10
expected_delivery_datedateExpected date of delivery at the field location2024-03-20
actual_delivery_datedateActual date of delivery at the field locationoptional2024-03-21
last_status_updatedatetimeTimestamp of the most recent status update for this shipment2024-03-21T10:30:00
True or false 1 column
risk_flagbooleanIndicates if the shipment is flagged for risk (e.g., theft, delay, route hazard)optionalfalse

Use it for

  • risk flag15%7 of 48 rowsmean item quantity by…2kfood5kmedi…575.0shel…2.1kwater

    A logistics dashboard

    The risk_flag rate, item_quantity by item_category and a breakdown of item_unit. Excel, Power BI or Tableau.

  • Why do the 11 medical rows have a mean item_quantity of 5,045?

    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 donor_id, donor_name and origin_warehouse_id to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 38 columns, your size and your rules. See 20 rows before you pay.

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This dataset48 rows38 columns
Yours1,000 rows38 columnsorigin_street_address: UK only

blueprint · humanitarian-aid-supply-chain-tracker

Behind this dataset

Same schema. As many rows as you need.

These 48 rows came out of a blueprint — 38 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 shipment must have a unique ID and donor source.
  • Delivery status must update at every checkpoint (e.g., customs, warehouse, field site).
  • Include risk flags for delays, loss, or damaged goods.
  • Track compliance with local import/export and safety regulations.
  • Inventory levels updated upon receipt at each location.
Rows
Open the blueprint in Data Factory

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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
humanitarian-aid-supply-chain-tracker

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