Nonprofit Supply Chain Tracking Metrics

This dataset provides end-to-end tracking metrics for nonprofit supply chain operations, detailing every shipment of donated goods, partner performance, and environmental impact. It enables organizations to identify bottlenecks, monitor lead times, prevent stockouts, and optimize donation utilization, supporting data-driven decision-making and operational efficiency.

  • last updated 4 Dec 2025
  • by GoMask
The brief that made it

Monitor and optimize nonprofit supply chain operations

Sample rows

preview · 8 of 110 rows · all 28 columns
shipment_idstringshipment_statusstringutilization_ratefloatstockout_flagbooleanpartner_namestringdonation_idstringdonor_namestringdonation_typestringdonation_quantityfloatdonation_unitstringpartner_idstringpartner_typestringshipment_origin_streetstringshipment_origin_citystringshipment_origin_statestringshipment_origin_postal_codestringshipment_origin_countrystringshipment_destination_streetstringshipment_destination_citystringshipment_destination_statestringshipment_destination_postal_codestringshipment_destination_countrystringshipment_departure_datetimedatetimeshipment_arrival_datetimedatetimelead_time_hoursfloatbottleneck_flagbooleanenvironmental_impact_co2_kgfloatshipment_notesstring
SHIP_1A3B7Cdelivered97.2falseAmeriTrans LogisticsDON2024_001Global Giving Trustfood5302.17kgPRT001carrier890 Maple AveHoustonTX77002USA120 Oak BlvdDallasTX75201USA2024-04-06T08:35:00Z2024-04-06T17:55:00Z9.33false410.8Shipment delivered on time. Temperature checks performed at both ends.
SHPMNT_2B4D5Edelivered95.5falseNorCan WarehousingDON2024_002Helping Hands Foundationclothing670piecesPRT002warehouse14 King StTorontoONM5H2Y2Canada55 St. Laurent BlvdMontrealQCH2Y1C6Canada2024-04-08T11:00:00Z2024-04-08T19:30:00Z8.5false28.2Recipient provided positive feedback on clothing quality.
SHP-3C5F8Gdelivered84.1trueTransAsia CarriersDON2024_003Mercy Medical Reliefmedical supplies4200boxesPRT003carrier17 West StChengduSichuan610041China201 Oak LaneKigaliKigali11001Rwanda2024-04-12T09:10:00Z2024-04-13T11:25:00Z26.25true956.7Customs bottleneck at destination caused minor delay.
SHIP_4H2J8Kdelivered90.7falseDelhi ExpressDON2024_004Fresh Start Initiativehygiene products987.4piecesPRT004local distributor92 MG RoadDelhiDL110001India34 Park ViewMumbaiMH400001India2024-04-09T07:00:00Z2024-04-09T19:35:00Z12.58false19.7Urgent hygiene delivery for local shelters.
SHPMNT_5K7L9Mdelivered88.6falseEuroLocal LogisticsDON2024_005Eco Support Groupother1123.16kgPRT005local distributor41 Berlin StrBerlinBE10115Germany18 Nelson AveCape TownWC8001South Africa2024-04-13T13:24:00Z2024-04-14T18:18:00Z28.9false122.3Eco-friendly shipment, paperwork processed smoothly.
SHP_6N8P1Qdelivered81.9trueAmeriTrans LogisticsDON2024_006US Food Relieffood7248.68kgPRT001carrier789 Lincoln BlvdChicagoIL60616USA18 Market StSt. LouisMO63101USA2024-04-07T07:30:00Z2024-04-07T18:45:00Z11.25false335.2Partial stockout reported at destination.
SHIP_7R2S4Tdelivered98.2falseSWI Logistics AGDON2024_007Bright Horizons Orgclothing1054piecesPRT006warehouse12 BahnhofstrasseZurichZH8001Switzerland88 Rue de la PaixGenevaGE1201Switzerland2024-04-10T14:10:00Z2024-04-10T21:30:00Z7.33false9.8Delivered to Geneva central warehouse.
SHPMNT_8U3V6Wdelivered83.6trueMedTrans AfricaDON2024_008Doctors Unitemedical supplies2250piecesPRT007carrier14 Nile RdCairoCairo11511Egypt56 Gaborone StGaboroneSE00000South Africa2024-04-12T06:25:00Z2024-04-12T21:30:00Z15.08false215.5Stockout due to customs delay at border.

What the 110 rows show

from the 110-row sample

In transit (shipment status) stands out: mean utilization_rate is 0.0, against 84.5 for the rest.

  • 19%stockout_flag = true
  • 92.1median utilization_rate
  • 3partner types
  • 5donation types
  • 5donation units
  • 13shipment destination countries
Mean utilization_rate by shipment_status85 rows
0501000.0pending2 rows0.0in tra…11 rows93.3delive…63 rows75.1delayed5 rows0.0cancel…4 rows
utilization_rate85 rows, in bands of 10
025501700000071348050100utilization_rate →

Median 92.1, from 0.0 to 100.0.

partner_name110 rows · top 10 of 38 values
  1. AmeriTrans Logistics6
  2. MedTrans Africa6
  3. Nordic Relief5
  4. IndoMed Carriers5
  5. EuroLocal Logistics4
  6. London Storage Ltd4
  7. Warehaus Canada4
  8. SwiftWay Logistics LLC4
  9. Harbor International4
  10. TransAsia Carriers3
28 columns by typefrom the column list below
  • string 20
  • float 4
  • datetime 2
  • boolean 2

Columns

28 columns in four groups
blueprint · 28 columns
columntypedescriptionexample
Text 20 columns
shipment_idstringUnique identifier for each shipment of donated goods.uniqueSHIP_1A3B7C
donation_idstringUnique identifier for the donation associated with the shipment.DON2024_001
donor_namestringName of the individual or organization donating goods.Global Giving Trust
donation_typestringType of donated goods (e.g., food, clothing, medical supplies).5 valuesfood
donation_unitstringUnit of measurement for the donated goods (e.g., kg, pieces, liters).5 unitskg
partner_idstringUnique identifier for the logistics/distribution partner.PRT001
partner_namestringName of the logistics/distribution partner.AmeriTrans Logistics
partner_typestringType of partner (e.g., carrier, warehouse, local distributor).carrier · warehouse · local distributor · othercarrier
shipment_statusstringCurrent status of the shipment.pending · in transit · delivered · delayed · cancelleddelivered
shipment_origin_streetstringStreet address where the shipment originates.890 Maple Ave
shipment_origin_citystringCity where the shipment originates.Houston
shipment_origin_statestringState or province where the shipment originates.TX
shipment_origin_postal_codestringPostal code of the shipment origin.77002
shipment_origin_countrystringCountry of the shipment origin.USA
shipment_destination_streetstringStreet address where the shipment is delivered.120 Oak Blvd
shipment_destination_citystringCity where the shipment is delivered.Dallas
shipment_destination_statestringState or province where the shipment is delivered.TX
shipment_destination_postal_codestringPostal code of the shipment destination.75201
shipment_destination_countrystringCountry of the shipment destination.USA
shipment_notesstringAdditional notes or comments about the shipment or supply chain process.optionalAwaiting pickup.
Numbers 4 columns
donation_quantityfloatQuantity of goods donated, measured in standardized units.0.01 or more5302.17
lead_time_hoursfloatTotal time taken for the shipment from departure to arrival, in hours.0 or more · optional9.33
utilization_ratefloatPercentage of donated goods successfully distributed and utilized (0-100).0 to 100 · optional97.2
environmental_impact_co2_kgfloatEstimated CO2 emissions (in kg) associated with the shipment.0 or more · optional410.8
Dates and times 2 columns
shipment_departure_datetimedatetimeDate and time when the shipment departs from the origin.2024-04-06T08:35:00Z
shipment_arrival_datetimedatetimeDate and time when the shipment arrives at the destination.optional2024-04-06T17:55:00Z
True or false 2 columns
stockout_flagbooleanIndicates whether a stockout occurred for this shipment at the destination.false
bottleneck_flagbooleanIndicates whether a bottleneck was identified in the supply chain for this shipment.false

Use it for

  • stockout flag19%21 of 110 rowsmean utilization rate…0.0pend…0.0in t…93.3deli…75.1dela…

    A logistics dashboard

    The stockout_flag rate, utilization_rate by shipment_status and a breakdown of partner_name. Excel, Power BI or Tableau.

  • Why do the 11 in transit rows have a mean utilization_rate of 0.0?

    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 donation_id, donor_name and donation_type to fill a screen in front of a buyer.

Not quite right?

Make it yours.

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This dataset110 rows28 columns
Yours1,000 rows28 columnsshipment_origin_city: UK only

blueprint · nonprofit-supply-chain-tracking-metrics

Behind this dataset

Same schema. As many rows as you need.

These 110 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 have a unique ID.
  • Partner delivery efficiency is calculated as percentage on-time deliveries.
  • Stockout events are flagged when inventory falls below minimum threshold.
  • Donation utilization is tracked as a ratio of items distributed versus received.
  • Lead time must include contributions from all supply chain stages.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
nonprofit-supply-chain-tracking-metrics

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