Nonprofit Donation Supply Chain Tracker

This dataset provides end-to-end tracking of nonprofit donations across the supply chain, capturing donor and recipient details, stage transitions, supply status, and disruption events. Designed for transparency, compliance, and operational efficiency, it supports bottleneck identification and reporting for donors, auditors, and nonprofit managers.

  • last updated 25 Dec 2025
  • by GoMask
The brief that made it

Monitoring and optimizing nonprofit donation supply chains

Sample rows

preview · 8 of 75 rows · all 28 columns
donation_idstringsupply_statusstringdonation_valuefloatdisruption_flagbooleanrecipient_address_citystringdonor_idstringdonor_namestringdonor_typestringdonation_typestringorigin_organization_idstringorigin_organization_namestringorigin_address_streetstringorigin_address_citystringorigin_address_statestringorigin_address_postal_codestringorigin_address_countrystringrecipient_organization_idstringrecipient_organization_namestringrecipient_address_streetstringrecipient_address_statestringrecipient_address_postal_codestringrecipient_address_countrystringsupply_chain_stagestringstage_timestampdatetimedisruption_typestringcompliance_flagbooleanlast_updateddatetimedisruption_descriptionstring
DN-20240101-001on_time10000falsePortlandDR1001Green Earth FoundationfoundationcashORG-A001Green Earth HQ120 Main StSeattleWA98101USAREC-B001Clean Water Now200 River RdOR97201USAcompleted2024-01-16T15:25:30Znonetrue2024-01-16T15:25:30Zblank
DN-20240101-002on_time250falseSpokaneDR1002John M. LeeindividualgoodsORG-A002Lee Family89 Willow StTacomaWA98402USAREC-B002Hope Shelter400 Pine AveWA99201USAdelivered2024-01-13T11:45:00Znonetrue2024-01-13T11:45:00Zblank
DN-20240101-003pending5000falseOaklandDR1003Sunrise BankcorporatecashORG-A003Sunrise Bank HQ300 Market StSan FranciscoCA94105USAREC-B003Food Lifeline1234 Main RdCA94607USAreceived2024-01-10T08:10:00Znonefalse2024-01-10T08:10:00Zblank
DN-20240101-004on_time2000falseBurnabyDR1004City of VancouvergovernmentservicesORG-A004Vancouver City Hall453 City DrVancouverBCV5K 0A1CanadaREC-B004Street Outreach98 King StBCV5H 1C1Canadaprocessed2024-01-11T14:35:00Znonetrue2024-01-11T14:35:00Zblank
DN-20240101-005delayed1200trueBellevueDR1001Green Earth FoundationfoundationgoodsORG-A001Green Earth HQ120 Main StSeattleWA98101USAREC-B005Kids First22 Elm StWA98004USAin_transit2024-01-14T09:15:30Zlogisticalfalse2024-01-14T09:15:30ZDelivery truck delayed due to mechanical issue.
DN-20240101-006on_time15000falseSpokaneDR1005Helping HandsfoundationcashORG-A005Helping Hands HQ77 Charity LnLos AngelesCA90012USAREC-B002Hope Shelter400 Pine AveWA99201USAcompleted2024-01-16T17:05:00Znonetrue2024-01-16T17:05:00Zblank
DN-20240101-007pending320.55falseKirklandDR1006Rachel K. SmithindividualgoodsORG-A006Smith Residence14 Oak StRedmondWA98052USAREC-B006Youth Empowerment555 Spruce AveWA98033USAreceived2024-01-09T13:20:00Znonefalse2024-01-09T13:20:00Zblank
DN-20240101-008on_time3500falseSan JoseDR1007TechServe Inc.corporateservicesORG-A007TechServe Office678 Innovation BlvdMountain ViewCA94043USAREC-B007Teach Tomorrow300 School StCA95112USAprocessed2024-01-12T10:40:00Znonetrue2024-01-12T10:40:00Zblank

What the 75 rows show

from the 75-row sample

Delayed (supply status) stands out: 12 of its 12 rows have disruption_flag = true, against 7 of 63 for the rest.

  • 25%disruption_flag = true
  • 1,200median donation_value
  • 2recipient address countries
  • 3donation types
  • 3origin address countries
  • 5donor types
Disruption flag rate by supply_statusdisruption_flag = true
0%50%100%0%on_time0 of 41100%delayed12 of 12100%lost2 of 2100%damaged5 of 50%pending0 of 15
donation_value75 rows, in bands of 2,500
0255043115740401012.5k22.5kdonation_value →

Median 1,200, from 50.0 to 22,000.

recipient_address_city75 rows · top 10 of 29 values
  1. Portland6
  2. Kirkland6
  3. Colorado Springs6
  4. Oakland5
  5. Bellevue5
  6. Toronto5
  7. Burnaby4
  8. San Jose4
  9. Ottawa4
  10. Edmonton3
28 columns by typefrom the column list below
  • string 23
  • float 1
  • datetime 2
  • boolean 2

Columns

28 columns in four groups
blueprint · 28 columns
columntypedescriptionexample
Text 23 columns
donation_idstringUnique identifier for each donation tracked through the supply chain.uniqueDN-20240101-001
donor_idstringUnique identifier for the donor providing the donation.DR1001
donor_namestringName of the donor organization or individual.Green Earth Foundation
donor_typestringType of donor (e.g., individual, corporate, foundation).individual · corporate · foundation · government · otherfoundation
donation_typestringType of donation (e.g., cash, goods, services).cash · goods · servicescash
origin_organization_idstringUnique identifier for the organization at the origin of the supply chain.ORG-A001
origin_organization_namestringName of the organization at the origin of the supply chain.Green Earth HQ
origin_address_streetstringStreet address of the origin organization.optional120 Main St
origin_address_citystringCity of the origin organization.optionalSeattle
origin_address_statestringState or province of the origin organization.optionalWA
origin_address_postal_codestringPostal code of the origin organization.optional98101
origin_address_countrystringCountry of the origin organization.3 countries · optionalUSA
recipient_organization_idstringUnique identifier for the recipient organization.REC-B001
recipient_organization_namestringName of the recipient organization.Clean Water Now
recipient_address_streetstringStreet address of the recipient organization.optional200 River Rd
recipient_address_citystringCity of the recipient organization.optionalPortland
recipient_address_statestringState or province of the recipient organization.optionalOR
recipient_address_postal_codestringPostal code of the recipient organization.optional97201
recipient_address_countrystringCountry of the recipient organization.2 countries · optionalUSA
supply_chain_stagestringCurrent stage of the donation in the supply chain (e.g., received, processed, shipped, delivered).7 valuescompleted
supply_statusstringStatus of the donation at the current stage (e.g., on_time, delayed, lost, damaged).on_time · delayed · lost · damaged · pendingon_time
disruption_typestringType of disruption encountered (e.g., logistical, compliance, weather, other).logistical · compliance · weather · other · none · optionalnone
disruption_descriptionstringDetailed description of the disruption, if any.optionalDelivery truck delayed du…
Numbers 1 column
donation_valuefloatMonetary value of the donation in USD.0 or more10000
Dates and times 2 columns
stage_timestampdatetimeTimestamp when the donation entered the current supply chain stage.2024-01-16T15:25:30Z
last_updateddatetimeTimestamp of the last update to this donation record.2024-01-16T15:25:30Z
True or false 2 columns
disruption_flagbooleanIndicates if there was any disruption in the supply chain for this donation at the current stage.false
compliance_flagbooleanIndicates whether the donation is compliant with all relevant regulations at the current stage.true

Use it for

  • disruption flag25%19 of 75 rowsmean donation value b…5.5kon_t…2.2kdela…185.0lost384.1dama…

    A logistics dashboard

    The disruption_flag rate, donation_value by supply_status and a breakdown of recipient_address_city. Excel, Power BI or Tableau.

  • Why do 19 of 75 rows have disruption_flag = true?

    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 donor_type to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 28 columns, your size and your rules. See 20 rows before you pay.

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This dataset75 rows28 columns
Yours1,000 rows28 columnsorigin_address_street: UK only

blueprint · nonprofit-donation-supply-chain-tracker

Behind this dataset

Same schema. As many rows as you need.

These 75 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 donation entry must include source, destination, and transit points.
  • Disruption events are flagged and require resolution timestamps.
  • Status updates are required at every supply chain stage.
  • Donation type (goods/cash/services) must be specified.
  • Recipient confirmation is mandatory for completion.
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-tracker

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