Volunteer Engagement Activity Tracker

This dataset provides a comprehensive view of nonprofit volunteer engagement, tracking participation, scheduling, and feedback across diverse projects and activities. It enables organizations to analyze trends, optimize resource allocation, and improve volunteer retention through actionable insights on activity impact and engagement levels.

  • last updated 21 Jan 2026
  • by GoMask
The brief that made it

Volunteer retention and engagement analysis

Sample rows

preview · 8 of 75 rows · all 23 columns
volunteer_idstringretention_statusstringhours_volunteeredfloatactivity_location_citystringvolunteer_first_namestringvolunteer_last_namestringvolunteer_emailstringvolunteer_phonestringvolunteer_join_datedateproject_idstringproject_namestringproject_categorystringactivity_idstringactivity_namestringactivity_datedateactivity_start_timedatetimeactivity_end_timedatetimeactivity_location_streetstringactivity_location_statestringactivity_location_postal_codestringactivity_location_countrystringengagement_ratingintegeractivity_feedbackstring
V1001active3.5ChicagoAlexMartinalex.martin1@volunteers.org(312) 555-23842022-03-15P2001Community Food Drivefood driveA3001Packing Food Parcels2024-04-042024-04-04T09:00:002024-04-04T12:30:00342 Main StIL60612USA5Enjoyed collaborating with the team!
V1002active2BrooklynPriyaSharmapriya.sharma2@volunteers.org(718) 555-01452023-11-20P2002Literacy TutoringtutoringA3002Reading Session2024-04-162024-04-16T17:00:002024-04-16T19:00:00104 Elm StreetNY11201USA4Students were very attentive.
V1003active3.75Los AngelesJamalLewislewis.jamal3@volunteers.org(213) 555-90042021-05-28P2003Neighborhood CleanupenvironmentA3003Litter Collection2024-03-292024-03-29T08:00:002024-03-29T11:45:00550 Oak AveCA90017USA5Great turnout and teamwork.
V1004active3San AntonioSofiaGarciasofia.garcia4@volunteers.org(210) 555-72122023-01-18P2004Senior Supportelderly careA3004Home Visits2024-04-102024-04-10T14:00:002024-04-10T17:00:0032 Maple DriveTX78205USA4Residents were appreciative.
V1005active2.5MiamiEmilyChene.chen5@volunteers.org(305) 555-18832022-09-05P2005Health AwarenesshealthA3005Workshop Setup2024-04-172024-04-17T09:30:002024-04-17T12:00:0080 Biscayne BlvdFL33132USA3Setup was smooth.
V1006active5DenverDanielKimdaniel.kim6@volunteers.org(303) 555-76832023-12-11P2006Fundraising GalafundraisingA3006Event Coordination2024-04-202024-04-20T16:00:002024-04-20T21:00:00455 Lincoln StCO80203USA5High energy throughout event.
V1007active2San FranciscoMeganO'Neilmeg.oneil7@volunteers.org(415) 555-22112021-08-21P2007Art for AllartsA3007Classroom Assistance2024-04-122024-04-12T10:00:002024-04-12T12:00:00700 Ashbury StCA94117USA4Kids loved the painting session.
V1008active3SeattleGraceNguyengrace.nguyen8@volunteers.org(206) 555-46572022-06-30P2008Youth MentoringmentoringA3008Mentor Meetup2024-04-112024-04-11T17:15:002024-04-11T20:15:0055 Pine StWA98101USA5Positive interaction with mentees.

What the 75 rows show

from the 75-row sample
  • 2.0median hours_volunteered
  • 10project categories
  • 16project names
  • 20activity location states
  • 5median engagement_rating
retention_status75 rows by value
0357070active93%5returning7%
hours_volunteered75 rows, in bands of 0.5
020401631921511135hours_volunteered →

Median 2.0, from 1.0 to 5.0.

activity_location_city75 rows · top 10 of 31 values
  1. Chicago7
  2. Brooklyn5
  3. San Antonio5
  4. Denver5
  5. San Francisco5
  6. Seattle5
  7. Las Vegas5
  8. Austin5
  9. Miami4
  10. Atlanta4
23 columns by typefrom the column list below
  • string 17
  • integer 1
  • float 1
  • date 2
  • datetime 2

Columns

23 columns in three groups
blueprint · 23 columns
columntypedescriptionexample
Text 17 columns
volunteer_idstringUnique identifier for each volunteeruniqueV1001
volunteer_first_namestringVolunteer’s first nameAlex
volunteer_last_namestringVolunteer’s last nameMartin
volunteer_emailstringVolunteer’s email addressuniquee.chen5@volunteers.org
volunteer_phonestringVolunteer’s phone numberoptional(312) 555-2384
project_idstringUnique identifier for each projectP2001
project_namestringName of the projectCommunity Food Drive
project_categorystringCategory or type of project (e.g., food drive, tutoring, fundraising)10 categories · optionalfood drive
activity_idstringUnique identifier for each volunteer activity or shiftuniqueA3001
activity_namestringName or description of the volunteer activityPacking Food Parcels
activity_location_streetstringStreet address of the activity locationoptional342 Main St
activity_location_citystringCity of the activity locationoptionalChicago
activity_location_statestringState of the activity locationoptionalIL
activity_location_postal_codestringPostal code of the activity locationoptional60612
activity_location_countrystringCountry of the activity locationoptionalUSA
activity_feedbackstringOptional feedback or comments from the volunteer about the activityoptionalSetup was smooth.
retention_statusstringCurrent retention status of the volunteer (e.g., active, inactive, returning)active · inactive · returningactive
Numbers 2 columns
hours_volunteeredfloatNumber of hours volunteered during the activity0 or more3.5
engagement_ratingintegerVolunteer’s self-reported engagement rating for the activity (1-5 scale)1 to 5 · optional5
Dates and times 4 columns
volunteer_join_datedateDate the volunteer joined the organization2022-03-15
activity_datedateDate on which the activity occurred2024-04-04
activity_start_timedatetimeStart time of the volunteer activity2024-04-04T09:00:00
activity_end_timedatetimeEnd time of the volunteer activity2024-04-04T12:30:00

Use it for

  • median hours v…2.075 rowsmean hours volunteere…2.5active2.4return…

    A human resources dashboard

    Hours_volunteered by retention_status and a breakdown of activity_location_city. Excel, Power BI or Tableau.

  • What pattern can you find in 75 rows?

    A class exercise

    Hand out the rows and one question. Everyone works from the same 75 rows.

  • A software demo

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

Not quite right?

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Same 23 columns, your size and your rules. See 20 rows before you pay.

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This dataset75 rows23 columns
Yours10,000 rows23 columnsactivity_location_street: UK only

blueprint · volunteer-engagement-activity-tracker

Behind this dataset

Same schema. As many rows as you need.

These 75 rows came out of a blueprint — 23 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 row contains a unique volunteer and activity pairing
  • Activity types limited to community events, outreach, and administrative support
  • Engagement scores calculated based on attendance, hours, and feedback
  • Date, time, and project must be logged for each engagement
  • Volunteers can appear in multiple activities but only once per event
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-engagement-activity-tracker

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