IoT Shipment Tracking for Nonprofits

This dataset provides comprehensive, real-time tracking of humanitarian aid shipments for nonprofit organizations using IoT sensor data. It includes detailed shipment information, location updates, environmental conditions, and automated alerts to ensure the integrity and timely delivery of critical supplies. Ideal for improving supply chain transparency, risk management, and rapid response in humanitarian logistics.

  • last updated 16 Jan 2026
  • by GoMask
The brief that made it

Real-time monitoring and intervention for humanitarian aid shipments

Sample rows

preview · 8 of 80 rows · all 28 columns
shipment_idstringshipment_statusstringshock_event_countintegershock_event_detectedbooleanorigin_statestringorganization_idstringorganization_namestringaid_typestringdeparture_datetimedatetimearrival_datetimedatetimeorigin_street_addressstringorigin_citystringorigin_postal_codestringorigin_countrystringdestination_street_addressstringdestination_citystringdestination_statestringdestination_postal_codestringdestination_countrystringcurrent_latitudefloatcurrent_longitudefloatlast_sensor_updatedatetimecurrent_temperature_celsiusfloatcurrent_humidity_percentfloattemperature_violationbooleanhumidity_violationbooleanalert_flagbooleanintervention_requiredboolean
SHIP00001in_transit0falseILORG100Aid for Allmedical supplies2024-06-10T08:15:00Zblank123 Elm StreetChicago60601USA45 Sunrise AveKigaliKigali City11001Rwanda-1.944130.06192024-06-13T05:20:00Z23.567.3falsefalsefalsefalse
SHIP00002delivered2trueTXORG101Global Relief Networkfood2024-06-01T15:35:00Z2024-06-07T10:55:00Z56 Maple LaneHouston77001USA12 Aid RoadPort-au-PrinceOuestHT6110Haiti18.5392-72.33642024-06-07T10:50:00Z28.978.1falsefalsetruefalse
SHIP00003delayed0falseFLORG102HealthBridgewater2024-06-09T09:30:00Zblank789 Cedar DriveMiami33101USA88 Rescue BlvdSan SalvadorSan SalvadorCP1101El Salvador13.6929-89.21822024-06-13T06:00:00Z34.284.5truefalsetruetrue
SHIP00004in_transit0falseWAORG103HopeLinemedical supplies2024-06-12T13:00:00Zblank320 Oak AveSeattle98101USA4 Unity StreetAddis AbabaAddis Ababa1000Ethiopia8.980638.75782024-06-13T06:15:00Z19.852.2falsefalsefalsefalse
SHIP00005at_risk6trueCOORG104Water Aid Foundationwater2024-06-08T07:40:00Zblank220 Pine StDenver80201USA56 Relief AvenueBamakoBamakoBKO1000Mali12.6392-8.00292024-06-13T06:30:00Z41.514.9truetruetruetrue
SHIP00006in_transit0falseAZORG105BrightFuturefood2024-06-11T10:20:00Zblank17 Willow LanePhoenix85001USA22 Hope RoadKathmanduBagmati44600Nepal27.717285.3242024-06-13T06:40:00Z31.765.5falsefalsefalsefalse
SHIP00007delayed0falseMAORG106Hands Togethermedical supplies2024-06-04T11:00:00Zblank102 Birch BlvdBoston02101USA40 Care CrescentLagosLagos100001Nigeria6.52443.37922024-06-13T06:55:00Z33.170.2truefalsetruetrue
SHIP00008delivered0falseGAORG107Caring Handsfood2024-05-31T08:50:00Z2024-06-06T12:45:00Z65 Redwood StAtlanta30301USA11 Giving LaneDhakaDhaka1205Bangladesh23.810390.41252024-06-06T12:30:00Z30.281.8falsefalsefalsefalse

What the 80 rows show

from the 80-row sample

At_risk (shipment status) stands out: mean shock_event_count is 4.4, against 0.39 for the rest.

  • 36%shock_event_detected = true
  • 0median shock_event_count
  • 3aid types
  • 22organization names
  • 23organizations
  • 31.7median current_temperature_celsius
Mean shock_event_count by shipment_status80 rows
0480.10in_trans…30 rows0.71delivered17 rows0.59delayed17 rows4.4at_risk16 rows
shock_event_count80 rows, in bands of 1
0255045148422212059shock_event_count →

Median 0, from 0 to 9.

origin_state80 rows · top 10 of 40 values
  1. TX8
  2. IL4
  3. FL4
  4. WA4
  5. CO4
  6. AZ4
  7. MA4
  8. GA4
  9. CA4
  10. Ile-de-France4
28 columns by typefrom the column list below
  • string 15
  • integer 1
  • float 4
  • datetime 3
  • boolean 5

Columns

28 columns in four groups
blueprint · 28 columns
columntypedescriptionexample
Text 15 columns
shipment_idstringUnique identifier for each aid shipment tracked by the systemuniqueSHIP00001
organization_idstringUnique identifier for the nonprofit organization responsible for the shipmentORG100
organization_namestringName of the nonprofit organizationAid for All
aid_typestringType of humanitarian aid being shipped (e.g., medical supplies, food, water)3 typesmedical supplies
shipment_statusstringCurrent status of the shipment (e.g., in_transit, delivered, delayed, at_risk)in_transit · delivered · delayed · at_riskin_transit
origin_street_addressstringStreet address of the shipment origin123 Elm Street
origin_citystringCity of the shipment originChicago
origin_statestringState or region of the shipment originIL
origin_postal_codestringPostal code of the shipment origin60601
origin_countrystringCountry of the shipment originUSA
destination_street_addressstringStreet address of the shipment destination45 Sunrise Ave
destination_citystringCity of the shipment destinationKigali
destination_statestringState or region of the shipment destinationKigali City
destination_postal_codestringPostal code of the shipment destination11001
destination_countrystringCountry of the shipment destinationRwanda
Numbers 5 columns
current_latitudefloatCurrent latitude of the shipment based on IoT sensor location-90 to 90-1.9441
current_longitudefloatCurrent longitude of the shipment based on IoT sensor location-180 to 18030.0619
current_temperature_celsiusfloatCurrent temperature inside the shipment container in degrees Celsius-50 to 10023.5
current_humidity_percentfloatCurrent humidity inside the shipment container as a percentage0 to 10067.3
shock_event_countintegerTotal number of shock events detected during the shipment's journey0 or more0
Dates and times 3 columns
departure_datetimedatetimeDate and time when the shipment departed from the origin2024-06-10T08:15:00Z
arrival_datetimedatetimeDate and time when the shipment arrived at the destination (null if not yet arrived)optional2024-06-07T10:55:00Z
last_sensor_updatedatetimeTimestamp of the most recent IoT sensor data received for this shipment2024-06-13T05:20:00Z
True or false 5 columns
shock_event_detectedbooleanIndicates if a shock event (impact or vibration) has been detected by the IoT sensorfalse
temperature_violationbooleanIndicates if the temperature has gone outside the safe range for aid integrity at any pointfalse
humidity_violationbooleanIndicates if the humidity has gone outside the safe range for aid integrity at any pointfalse
alert_flagbooleanIndicates if any alert (shock, temperature, humidity) has been triggered for this shipmentfalse
intervention_requiredbooleanIndicates if shipment requires urgent intervention based on sensor data or statusfalse

Use it for

  • shock event de…36%29 of 80 rowsmean shock event coun…0.10in_t…0.71deli…0.59dela…4.4at_r…

    A logistics dashboard

    The shock_event_detected rate, shock_event_count by shipment_status and a breakdown of origin_state. Excel, Power BI or Tableau.

  • Why do the 16 at_risk rows have a mean shock_event_count of 4.4?

    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 organization_id, organization_name and aid_type to fill a screen in front of a buyer.

Not quite right?

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This dataset80 rows28 columns
Yours1,000 rows28 columnsorigin_street_address: UK only

blueprint · iot-shipment-tracking-for-nonprofits

Behind this dataset

Same schema. As many rows as you need.

These 80 rows came out of a blueprint — 28 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 record must include a unique shipment ID and aid type.
  • IoT sensor data fields (location, temperature, humidity, shock event) are updated at each checkpoint.
  • Trigger an alert if temperature or humidity deviates from safe ranges for aid materials.
  • Flag shipments that experience more than two shock events for inspection.
  • Provide delivery confirmation and recipient verification at destination.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
iot-shipment-tracking-for-nonprofits

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