Nonprofit Donation Supply Chain Tracking

This dataset provides a detailed, end-to-end record of donated goods as they move through a nonprofit organization's global supply chain, including donor information, item specifics, shipment logistics, and ESG compliance metrics. It is ideal for analyzing operational bottlenecks, optimizing inventory allocation, and enhancing transparency for stakeholders and ESG reporting. The comprehensive structure supports supply chain resilience, auditability, and global impact analysis.

  • last updated 8 Jan 2026
  • by GoMask
The brief that made it

Supply chain bottleneck analysis and optimization

Sample rows

preview · 8 of 110 rows · all 24 columns
donation_idstringtransport_modestringcarbon_footprint_kgco2efloatesg_compliance_flagbooleanorigin_facility_countrystringdonor_idstringdonor_namestringdonation_datedateitem_idstringitem_namestringitem_categorystringitem_quantityintegeritem_unitstringorigin_facility_idstringorigin_facility_namestringdestination_facility_idstringdestination_facility_namestringdestination_facility_countrystringshipment_idstringshipment_datedateexpected_arrival_datedateactual_arrival_datedateshipment_statusstringnotesstring
DN0001road85.3trueGermanyDR100Global Aid Foundation2024-02-10IT501Winter jacketsclothing120piecesOF001Berlin Central WarehouseDF101Warsaw Relief CenterPolandSH30012024-02-112024-02-152024-02-15deliveredArrived on schedule, no damages.
DN0002road120.8falseNetherlandsDR101HealthBridge Corp2024-02-12IT502Medical face masksmedical supplies5000piecesOF002Amsterdam Medical DepotDF102Prague Aid HubCzech RepublicSH30022024-02-132024-02-172024-02-18delayedDelayed due to border inspection.
DN0003road14.2truePortugalDR102Kind Hearts International2024-01-22IT503Rice bagsfood100kgOF003Lisbon Food BankDF103Madrid Community CenterSpainSH30032024-01-232024-01-252024-01-25deliveredblank
DN0004road7.6trueBelgiumDR103Hopeful Hands Org2024-02-01IT504Soap barshygiene products400piecesOF004Brussels Hygiene CenterDF104Luxembourg Support HouseLuxembourgSH30042024-02-022024-02-042024-02-05delayedLate arrival due to traffic.
DN0005rail12.1trueAustriaDR104EduCare Europe2024-01-15IT505Children's bookseducational materials300piecesOF005Vienna Book DepotDF105Budapest Youth CenterHungarySH30052024-01-162024-01-192024-01-19deliveredblank
DN0006sea49.5falseItalyDR105Food For All Ltd.2024-01-10IT506Canned beansfood250kgOF006Rome Food WarehouseDF106Athens Help PointGreeceSH30062024-01-112024-01-142024-01-14deliveredStandard delivery.
DN0007road32.2trueSwitzerlandDR106United Donors Group2024-01-26IT507Bandagesmedical supplies1500piecesOF007Zurich Medical StorageDF107Milan Health CenterItalySH30072024-01-272024-01-29blankin transitExpected delay due to snow.
DN0008road18.6trueSwedenDR107Clean Future Org2024-01-18IT508Hand sanitizershygiene products600piecesOF008Stockholm Hygiene DepotDF108Oslo Community CenterNorwaySH30082024-01-192024-01-212024-01-21deliveredblank

What the 110 rows show

from the 110-row sample

Air (transport mode) stands out: mean carbon_footprint_kgco2e is 269.0, against 67.2 for the rest.

  • 90%esg_compliance_flag = true
  • 25.4median carbon_footprint_kgco2e
  • 4shipment statuses
  • 6item categories
  • 13item units
  • 300median item_quantity
Mean carbon_footprint_kgco2e by transport_mode110 rows
0200400269.0air11 rows250.5sea16 rows31.1road78 rows43.5rail5 rows
carbon_footprint_kgco2e110 rows, in bands of 200
0501009782110108001,400carbon_footprint_kgco2e →

Median 25.4, from 0.70 to 1,200.

origin_facility_country110 rows · top 10 of 33 values
  1. Germany11
  2. Netherlands9
  3. Austria5
  4. Italy5
  5. Switzerland5
  6. Sweden5
  7. Spain5
  8. Australia5
  9. Thailand5
  10. Portugal4
24 columns by typefrom the column list below
  • string 17
  • integer 1
  • float 1
  • date 4
  • boolean 1

Columns

24 columns in four groups
blueprint · 24 columns
columntypedescriptionexample
Text 17 columns
donation_idstringUnique identifier for each donation event or batch.uniqueDN0001
donor_idstringUnique identifier for the donor (individual or organization).DR100
donor_namestringName of the donor or donating organization.Global Aid Foundation
item_idstringUnique identifier for each donated item or SKU.IT501
item_namestringName or description of the donated item.Winter jackets
item_categorystringCategory of the donated item (e.g., clothing, food, medical supplies).6 valuesclothing
item_unitstringUnit of measurement for the item quantity (e.g., pieces, kg, liters).pieces
origin_facility_idstringUnique identifier for the facility where the item originated.OF001
origin_facility_namestringName of the origin facility (e.g., warehouse, collection center).Berlin Central Warehouse
origin_facility_countrystringCountry where the origin facility is located.Germany
destination_facility_idstringUnique identifier for the facility receiving the item.DF101
destination_facility_namestringName of the destination facility (e.g., local branch, partner NGO).Warsaw Relief Center
destination_facility_countrystringCountry where the destination facility is located.Poland
shipment_idstringUnique identifier for the shipment or transfer event.SH3001
shipment_statusstringCurrent status of the shipment (e.g., dispatched, in transit, delivered, delayed, lost).6 valuesdelivered
transport_modestringMode of transport used for shipment (e.g., air, sea, road, rail).air · sea · road · rail · other · optionalroad
notesstringAdditional notes or comments about the shipment or donation.optionalStandard delivery.
Numbers 2 columns
item_quantityintegerQuantity of the donated item in this record.1 or more120
carbon_footprint_kgco2efloatEstimated carbon footprint of the shipment in kilograms of CO2 equivalent.0 or more · optional85.3
Dates and times 4 columns
donation_datedateDate the donation was received.2024-02-10
shipment_datedateDate the shipment was dispatched from the origin facility.2024-02-11
expected_arrival_datedateExpected date of arrival at the destination facility.optional2024-02-15
actual_arrival_datedateActual date of arrival at the destination facility.optional2024-02-15
True or false 1 column
esg_compliance_flagbooleanIndicates if the shipment meets ESG (Environmental, Social, Governance) compliance standards.optionaltrue

Use it for

  • esg compliance…90%99 of 110 rowsmean carbon footprint…269.0air250.5sea31.1road43.5rail

    A logistics dashboard

    The esg_compliance_flag rate, carbon_footprint_kgco2e by transport_mode and a breakdown of origin_facility_country. Excel, Power BI or Tableau.

  • Why do the 11 air rows have a mean carbon_footprint_kgco2e of 269.0?

    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 donations with donor_id, donor_name and donation_date to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 24 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 dataset110 rows24 columns
Yours1,000 rows24 columnsorigin_facility_country: UK only

blueprint · nonprofit-donation-supply-chain-tracking

Behind this dataset

Same schema. As many rows as you need.

These 110 rows came out of a blueprint — 24 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 donation entry must include origin and destination locations.
  • Shipment status updates only at key chain events (e.g., warehouse arrival, dispatch, delivery).
  • Transit times calculated based on actual timestamps, not estimates.
  • Every row associates a donation type with its corresponding supply chain leg.
  • Missing or delayed shipments flagged for review.
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
nonprofit-donation-supply-chain-tracking

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