• Other
  • 21 columns
  • 80 rows
  • 8 formats

Volunteer Impact and Scheduling Logs

This dataset provides detailed logs of nonprofit volunteer assignments, including time spent, roles, project involvement, and quantified outcomes. It enables transparent reporting, operational optimization, and data-driven insights into volunteer impact and project effectiveness, supporting strategic decision-making for resource allocation.

  • last updated 8 Dec 2025
  • by GoMask
The brief that made it

Optimizing volunteer scheduling and resource allocation

Sample rows

preview · 8 of 80 rows · all 21 columns
volunteer_idintegerhours_loggedfloatlocation_street_addressstringvolunteer_first_namestringvolunteer_last_namestringvolunteer_emailstringassignment_idintegerproject_idintegerproject_namestringassignment_rolestringassignment_start_datetimedatetimeassignment_end_datetimedatetimeoutcome_typestringoutcome_valuefloatoutcome_unitstringlocation_citystringlocation_statestringlocation_postal_codestringlocation_countrystringassignment_notesstringimpact_ratinginteger
14123 Oak StEmilyChenemily.chen01@volunteerimpact.org1001201Community Food DriveFood Packer2023-03-15T09:00:002023-03-15T13:00:00Meals Served320mealsSpringfieldIL62701USAExcellent teamwork.5
26456 Maple AveJavierMartinezjmartinez@volunteerimpact.org1002202Urban Tree PlantingTree Planter2023-04-10T10:00:002023-04-10T16:00:00Trees Planted22treesChicagoIL60616USAPlanted in rain.4
32789 Pine BlvdAishaKhanaisha.khan@volunteerimpact.org1003203Literacy TutoringTutor2023-03-21T17:30:002023-03-21T19:30:00Children Tutored5childrenEvanstonIL60201USAblank5
46.5321 Elm StGregorySmithgreg.smith@volunteerimpact.org1004201Community Food DriveLogistics Coordinator2023-03-16T08:30:002023-03-16T15:00:00Meals Served410mealsSpringfieldIL62702USAManaged deliveries.5
53555 Willow LnPriyaReddypriya.reddy@volunteerimpact.org1005204Senior CompanionshipCompanion2023-04-02T14:00:002023-04-02T17:00:00Hours Spent3hoursNapervilleIL60540USAProvided emotional support.4
63888 Lakeview DrLucasSantoslucas.santos@volunteerimpact.org1006205Park CleanupTrash Collector2023-03-25T09:00:002023-03-25T12:00:00Bags Collected7bagsAuroraIL60506USAblank3
72222 Spruce CtFatimaAbdullahfatima.abdullah@volunteerimpact.org1007203Literacy TutoringTutor2023-03-28T17:00:002023-03-28T19:00:00Children Tutored3childrenEvanstonIL60202USANew child joined.4
841010 River RdBenjaminLeeben.lee@volunteerimpact.org1008206Animal Shelter SupportAnimal Care2023-04-05T13:00:002023-04-05T17:00:00Animals Cared For12animalsJolietIL60431USAFed kittens.5

What the 80 rows show

from the 80-row sample
  • 3.5median hours_logged
  • 9location states
  • 17location cities
  • 19project names
  • 19outcome units
  • 24outcome types
hours_logged80 rows, in bands of 0.5
0153084271121210624.56.5hours_logged →

Median 3.5, from 2.0 to 6.5.

location_street_address80 rows · top 10 of 38 values
  1. 1409 Pine St5
  2. 2786 Oak Ridge Ave5
  3. 1212 Innovation Dr4
  4. 404 Wellness Way4
  5. 818 Shelter St4
  6. 505 Hope Rd4
  7. 1201 Rainier St4
  8. 8507 Lincoln Blvd4
  9. 115 Grove Park Dr4
  10. 251 Main St4
21 columns by typefrom the column list below
  • string 13
  • integer 4
  • float 2
  • datetime 2

Columns

21 columns in three groups
blueprint · 21 columns
columntypedescriptionexample
Text 13 columns
volunteer_first_namestringFirst name of the volunteer.Emily
volunteer_last_namestringLast name of the volunteer.Chen
volunteer_emailstringEmail address of the volunteer.uniquemsalim574@volnet.org
project_namestringName of the project or initiative.Community Food Drive
assignment_rolestringRole or responsibility assigned to the volunteer for this assignment.Food Packer
outcome_typestringType of outcome measured for the assignment (e.g., meals served, trees planted).Meals Served
outcome_unitstringUnit of measurement for the outcome (e.g., meals, trees, hours).meals
location_street_addressstringStreet address where the assignment took place.optional123 Oak St
location_citystringCity where the assignment took place.optionalSpringfield
location_statestringState or province where the assignment took place.9 states · optionalIL
location_postal_codestringPostal code for the assignment location.optional62701
location_countrystringCountry where the assignment took place.optionalUSA
assignment_notesstringAdditional notes or comments about the assignment.optionalExcellent teamwork.
Numbers 6 columns
volunteer_idintegerUnique identifier for each volunteer.1 or more1
assignment_idintegerUnique identifier for each volunteer assignment.unique · 1 or more1001
project_idintegerUnique identifier for the project or initiative.1 or more201
hours_loggedfloatTotal number of hours the volunteer logged for this assignment.0 or more4
outcome_valuefloatNumeric value quantifying the outcome (e.g., number of meals, trees).0 or more320
impact_ratingintegerImpact rating for the assignment (e.g., 1-5 scale).1 to 5 · optional5
Dates and times 2 columns
assignment_start_datetimedatetimeDate and time when the volunteer assignment started.2023-03-15T09:00:00
assignment_end_datetimedatetimeDate and time when the volunteer assignment ended.2023-03-15T13:00:00

Use it for

  • median hours l…3.580 rows

    A dashboard

    Hours_logged and a breakdown of location_street_address. Excel, Power BI or Tableau.

  • What pattern can you find in 80 rows?

    A class exercise

    Hand out the rows and one question. Everyone works from the same 80 rows.

  • A software demo

    Believable rows with volunteer_first_name, volunteer_last_name and volunteer_email to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 21 columns, your size and your rules. See 20 rows before you pay.

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This dataset80 rows21 columns
Yours1,000 rows21 columnslocation_street_address: UK only

blueprint · volunteer-impact-and-scheduling-logs

Behind this dataset

Same schema. As many rows as you need.

These 80 rows came out of a blueprint — 21 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 volunteer may participate in multiple projects, but only one assignment per day.
  • Impact metrics (e.g., people served, resources distributed) must be recorded for every completed shift.
  • Scheduling conflicts are flagged if volunteers are double-booked.
  • Volunteer hours are validated against organization policies (minimum and maximum per week).
  • Projects are categorized by type (e.g., health, education, environment) for reporting.
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
volunteer-impact-and-scheduling-logs

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