Nonprofit Donation Logistics Tracker

This dataset provides comprehensive tracking of nonprofit donation logistics, capturing donation details, sources, transit statuses, arrival times, and handling issues across distributed sites. It enables nonprofits to monitor, optimize, and analyze their supply chain operations, improving transparency, efficiency, and accountability in resource distribution.

  • last updated 11 Jan 2026
  • by GoMask
The brief that made it

Monitor and optimize donation delivery processes across multiple sites

Sample rows

preview · 8 of 120 rows · all 29 columns
donation_idstringdonation_typestringquantityfloathandling_issue_flagbooleanorigin_statestringunitstringsource_idstringsource_namestringsource_typestringsource_contact_emailstringorigin_site_idstringorigin_site_namestringorigin_street_addressstringorigin_citystringorigin_postal_codestringorigin_countrystringdestination_site_idstringdestination_site_namestringdestination_street_addressstringdestination_citystringdestination_statestringdestination_postal_codestringdestination_countrystringtransit_statusstringexpected_arrival_datedateactual_arrival_datedatelast_updateddatetimedonation_descriptionstringhandling_issue_descriptionstring
D00001food125.5falseILkgSRC1001Green Valley Farmsbusinesscontact@gvfarm.comOS001Green Valley Packing157 Orchard LaneSpringfield62704USADS1001Central Food Bank200 Harvest AveSpringfieldIL62702USAarrived2024-04-142024-04-152024-04-15T16:25:00Fresh apples and oranges donated from local farm for distribution.blank
D00002clothing75falseMAitemsSRC1002Community Outreachnonprofitinfo@communityoutreach.orgOS002Outreach HQ45 Elm StreetBoston02110USADS1002Urban Shelter89 Shelter RdBostonMA02112USAarrived2024-03-202024-03-212024-03-21T14:40:00Assorted winter coats and jackets for families in need.blank
D00003money250falseMHUSDSRC1003Priya Singhindividualpriyasingh@gmail.comOS003Donor Residence32 Lake ViewMumbai400001IndiaDS1003Literacy Trust Center78 Knowledge RdMumbaiMH400002Indiaarrived2024-04-022024-04-022024-04-02T10:05:00Individual cash donation to support literacy programs.blank
D00004supplies800trueWAunitsSRC1004HealthWay Corpbusinessdonations@healthway.comOS004HealthWay Distribution101 Wellness BlvdSeattle98109USADS1004Community Clinic234 Care LaneSeattleWA98112USAarrived2024-03-292024-03-312024-03-31T17:25:00Bulk medical supplies for local community clinic.One box damaged during delivery, items repacked.
D00005other35falseLDNbooksSRC1005Literary Partnersbusinessinfo@literarypartners.co.ukOS005Literary Partners Office22 Library CloseLondonEC1A 1BBUKDS1005Central Library10 Reading StLondonLDNEC1A 2AAUKarrived2024-04-052024-04-052024-04-05T11:35:00Set of books for local library's summer reading program.blank
D00006food60falseBEkgSRC1006Baker's Delightbusinessdonate@bakersdelight.comOS006Baker's Delight Main20 Dough AveBerlin10115GermanyDS1006Berlin Food Relief11 Relief StrBerlinBE10117Germanyin_transit2024-06-10blank2024-06-08T08:52:00Donation of fresh bread and pastries from bakery chain.blank
D00007money0.75falseNABTCSRC1007Online Donorotherbtc.donor@cryptomail.comOS007Virtual SourceNAOnline00000OnlineDS1007Tech Access Center101 Tech WaySan JoseCA95110USApending2024-08-15blank2024-07-01T12:12:00Cryptocurrency donation for tech literacy initiative.blank
D00008clothing120falseTXpairsSRC1008Footwear For Kidsbusinessdonations@footwearforkids.comOS008Footwear HQ43 Shoe PlazaDallas75201USADS1008Elementary School99 School LaneDallasTX75202USAarrived2024-03-102024-03-102024-03-10T15:43:00Children's shoes and socks for school program.blank

What the 120 rows show

from the 120-row sample

Money (donation type) stands out: mean quantity is 140,323, against 355.6 for the rest.

  • 22%handling_issue_flag = true
  • 120.0median quantity
  • 5source types
  • 6transit statuses
  • 9origin countries
  • 11units
Mean quantity by donation_type120 rows
0100k200k92.7food28 rows108.0clothi…24 rows140.3kmoney22 rows979.0suppli…29 rows74.8other17 rows
quantity120 rows, in bands of 100k
0601201170000000030500k1Mquantity →

Median 120.0, from 0.0 to 1,000,000.

origin_state120 rows · top 10 of 30 values
  1. CA13
  2. TX11
  3. LDN8
  4. ZH7
  5. DL6
  6. AZ6
  7. FL6
  8. NU6
  9. IL5
  10. WA5
29 columns by typefrom the column list below
  • string 24
  • float 1
  • date 2
  • datetime 1
  • boolean 1

Columns

29 columns in four groups
blueprint · 29 columns
columntypedescriptionexample
Text 24 columns
donation_idstringUnique identifier for each donation recorduniqueD00001
donation_typestringType of donation (e.g., food, clothing, money, supplies)food · clothing · money · supplies · otherfood
donation_descriptionstringDetailed description of the donated items or fundsoptionalFresh apples and oranges …
unitstringUnit of measurement for the donation (e.g., kg, items, USD)11 units · optionalkg
source_idstringUnique identifier for the donation source (e.g., donor, organization)SRC1001
source_namestringName of the donor or source organizationGreen Valley Farms
source_typestringType of source (individual, business, nonprofit, government, other)individual · business · nonprofit · government · other · optionalbusiness
source_contact_emailstringContact email for the donation sourceoptionalcontact@gvfarm.com
origin_site_idstringUnique identifier for the origin site where the donation startedoptionalOS001
origin_site_namestringName of the origin siteoptionalGreen Valley Packing
origin_street_addressstringStreet address of the origin siteoptional157 Orchard Lane
origin_citystringCity of the origin siteoptionalSpringfield
origin_statestringState or province of the origin siteoptionalIL
origin_postal_codestringPostal code of the origin siteoptional62704
origin_countrystringCountry of the origin site9 countries · optionalUSA
destination_site_idstringUnique identifier for the destination site receiving the donationDS1001
destination_site_namestringName of the destination siteCentral Food Bank
destination_street_addressstringStreet address of the destination siteoptional200 Harvest Ave
destination_citystringCity of the destination siteoptionalSpringfield
destination_statestringState or province of the destination siteoptionalIL
destination_postal_codestringPostal code of the destination siteoptional62702
destination_countrystringCountry of the destination site11 countries · optionalUSA
transit_statusstringCurrent status of the donation in the supply chain6 valuesarrived
handling_issue_descriptionstringDescription of any handling issues encounteredoptionalOne box damaged during de…
Numbers 1 column
quantityfloatQuantity or amount of the donation (units, weight, or value)0 or more · optional125.5
Dates and times 3 columns
expected_arrival_datedateExpected date of arrival at the destination siteoptional2024-04-14
actual_arrival_datedateActual date the donation arrived at the destination siteoptional2024-04-15
last_updateddatetimeTimestamp of the last update to this donation record2024-04-15T16:25:00
True or false 1 column
handling_issue_flagbooleanIndicates if there was any handling issue during transitfalse

Use it for

  • handling issue…22%26 of 120 rowsmean quantity by dona…92.7food108.0clot…140.3kmoney979.0supp…

    A logistics dashboard

    The handling_issue_flag rate, quantity by donation_type and a breakdown of origin_state. Excel, Power BI or Tableau.

  • Why do the 22 money rows have a mean quantity of 140,323?

    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 donation_type, donation_description and quantity to fill a screen in front of a buyer.

Not quite right?

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This dataset120 rows29 columns
Yours1,000 rows29 columnsorigin_site_id: UK only

blueprint · nonprofit-donation-logistics-tracker

Behind this dataset

Same schema. As many rows as you need.

These 120 rows came out of a blueprint — 29 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 item type.
  • Transit status must update in real-time or at least daily.
  • Delayed or lost shipments must be flagged with reason codes.
  • Site managers must record receipt confirmations within 24 hours.
  • Logistics partners must be assigned unique identifiers.
  • Sensitive items require special handling status.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
nonprofit-donation-logistics-tracker

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