• Other
  • 20 columns
  • 75 rows
  • 8 formats

Nonprofit Volunteer Impact Tracker

This dataset provides a comprehensive record of volunteer activities, hours contributed, and program impact for small nonprofits, including detailed engagement information and stakeholder feedback. It enables program directors to optimize volunteer resource allocation, measure initiative effectiveness, and report outcomes to stakeholders for transparency and improvement.

  • last updated 23 Nov 2025
  • by GoMask
The brief that made it

Tracking volunteer hours and engagement for nonprofit programs

Sample rows

preview · 8 of 75 rows · all 20 columns
volunteer_idstringprogram_categorystringimpact_valuefloatengagement_location_statestringvolunteer_first_namestringvolunteer_last_namestringvolunteer_emailstringvolunteer_phonestringprogram_idstringprogram_namestringengagement_idstringengagement_datedatehours_contributedfloatactivity_descriptionstringimpact_metricstringstakeholder_feedbackstringengagement_location_streetstringengagement_location_citystringengagement_location_postal_codestringengagement_location_countrystring
VOL1001Food Distribution125CAJessicaClarkjessica.clark@volunteerhub.org+1 415-555-4821PRG501Community Food PantryENG30012024-04-034.5Packed and distributed groceries to local families.Meals ServedGreat teamwork and organization.1024 Market StSan Francisco94103USA
VOL1002Tutoring8CASamuelNguyensamuel.nguyen@volunteers.org+1 408-555-8722PRG502After School TutoringENG30022024-05-102Tutored students in math and science.Students TutoredStudents showed improved test scores.1845 Oak AveSan Jose95128USA
VOL1003Outreach42CALindaMartinezlinda.martinez@helpnow.org+1 510-555-3939PRG503Neighborhood OutreachENG30032023-12-223.5Visited homes to distribute informational flyers.Homes ReachedIncreased community awareness.233 Cherry BlvdOakland94607USA
VOL1004Support Services6CAMohammedAlammohammed.alam@volunteerimpact.org+1 650-555-7711PRG504Senior Companion ProgramENG30042024-02-175Visited seniors and assisted with daily errands.Visits CompletedSeniors appreciated the help.116 Willow LanePalo Alto94301USA
VOL1005Food Distribution215CAEmilyZhangemily.zhang@communityvolunteers.net+1 925-555-9812PRG501Community Food PantryENG30052024-04-242.5Assisted with inventory and packaging.Items DistributedEfficient and organized.1024 Market StSan Francisco94103USA
VOL1006Environmental19CACarlosRamirezc.ramirez@volunteerhub.org+1 707-555-5622PRG505Environmental CleanupENG30062024-03-154Removed trash from local parks.Bags FilledPark is noticeably cleaner.678 Pine StNapa94559USA
VOL1007Mentorship3CAAshleyJohnsonashley.johnson@helpnow.org+1 916-555-1032PRG506Youth MentorshipENG30072024-01-293Mentored local high school students.Students MentoredPositive impact on youth.321 Elm StSacramento95814USA
VOL1008Tutoring5CAAvaSinghava.singh@volunteers.org+1 408-555-5123PRG502After School TutoringENG30082024-05-171.5Helped students with homework.Students TutoredStudents were engaged.1845 Oak AveSan Jose95128USA

What the 75 rows show

from the 75-row sample

Food Distribution (program category) stands out: mean impact_value is 84.9, against 11.5 for the rest.

  • 9median impact_value
  • 10programs
  • 10program names
  • 17impact metrics
  • 2.5median hours_contributed
Mean impact_value by program_category75 rows
05010016.1Outre…24 rows84.9Food …17 rows8.5Tutor…17 rows5.3Suppo…7 rows12.6Envir…7 rows3.0Mento…3 rows
impact_value75 rows, in bands of 25
03060551112011130125225impact_value →

Median 9, from 1 to 220.

engagement_location_state75 rows · top 10 of 27 values
  1. CA40
  2. TX3
  3. IL2
  4. OK2
  5. FL2
  6. OH2
  7. MO2
  8. UT2
  9. OR2
  10. PA1
20 columns by typefrom the column list below
  • string 17
  • float 2
  • date 1

Columns

20 columns in three groups
blueprint · 20 columns
columntypedescriptionexample
Text 17 columns
volunteer_idstringUnique identifier for each volunteeruniqueVOL1001
volunteer_first_namestringFirst name of the volunteerJessica
volunteer_last_namestringLast name of the volunteerClark
volunteer_emailstringEmail address of the volunteeruniqueava.singh@volunteers.org
volunteer_phonestringPhone number of the volunteeroptional+1 415-555-4821
program_idstringUnique identifier for each nonprofit program or initiative10 programsPRG501
program_namestringName of the nonprofit program or initiative10 namesCommunity Food Pantry
program_categorystringCategory or type of program (e.g., Food Distribution, Tutoring, Outreach)6 categories · optionalFood Distribution
engagement_idstringUnique identifier for each volunteer engagement/activity recorduniqueENG3001
activity_descriptionstringDescription of the volunteer activity performedoptionalSpent time with seniors.
impact_metricstringType of impact measured (e.g., Meals Served, Students Tutored, Items Distributed)optionalMeals Served
stakeholder_feedbackstringFeedback or comments from stakeholders regarding the volunteer activity or program impactoptionalEfficient and organized.
engagement_location_streetstringStreet address where the engagement took placeoptional1024 Market St
engagement_location_citystringCity where the engagement took placeoptionalSan Francisco
engagement_location_statestringState where the engagement took placeoptionalCA
engagement_location_postal_codestringPostal code of the engagement locationoptional94103
engagement_location_countrystringCountry of the engagement locationoptionalUSA
Numbers 2 columns
hours_contributedfloatNumber of hours contributed by the volunteer during the engagement0 or more4.5
impact_valuefloatNumeric value representing the impact achieved during the engagement (e.g., number of meals served)0 or more · optional125
Dates and times 1 column
engagement_datedateDate of the volunteer activity or engagement2024-04-03

Use it for

  • median impact …975 rowsmean impact value by …16.1Outr…84.9Food…8.5Tuto…5.3Supp…

    A dashboard

    Impact_value by program_category and a breakdown of engagement_location_state. Excel, Power BI or Tableau.

  • Why do the 17 Food Distribution rows have a mean impact_value of 84.9?

    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 volunteers 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 20 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 dataset75 rows20 columns
Yours1,000 rows20 columnsengagement_location_street: UK only

blueprint · nonprofit-volunteer-impact-tracker

Behind this dataset

Same schema. As many rows as you need.

These 75 rows came out of a blueprint — 20 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 represents a unique volunteer-project engagement instance
  • Volunteer impact score calculated from hours and beneficiary feedback
  • Project outcomes linked to engagement type (in-person, remote, hybrid)
  • Hours logged must be verified by a program manager
  • Projects flagged if impact score drops below 50%
  • Repeat volunteers are tracked for retention analytics
Rows
Open the blueprint in Data Factory

1 credit per row. Preview 20 rows free. Buy rows for the full run.

Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
nonprofit-volunteer-impact-tracker

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