Volunteer Engagement Metrics Dataset

This dataset tracks nonprofit volunteer engagement, retention, and satisfaction metrics, including activity levels, feedback, and demographic details. It empowers managers to identify participation trends, at-risk volunteers, and design targeted initiatives to boost engagement and impact. Ideal for data-driven volunteer program optimization and reporting.

  • opened 5 times
  • last updated 25 Oct 2025
  • by GoMask
The brief that made it

Identifying and supporting at-risk volunteers to improve retention

Sample rows

preview · 8 of 120 rows · all 20 columns
volunteer_idstringcurrent_statusstringretention_scorefloatlocation_countrystringfirst_namestringlast_namestringemailstringphone_numberstringdate_joineddatelast_active_datedatetotal_hours_volunteeredfloatengagement_scorefloatsatisfaction_ratingfloatprimary_programstringlocation_citystringlocation_statestringageintegergenderstringskillsstringfeedback_commentsstring
VOL_0001active0.92USAAliciaHendersonalicia.henderson@literacyconnect.org+1-212-555-01892023-07-142024-05-11183.50.874.8Literacy ProgramNew YorkNY26femaleMentoring, Communication, Public SpeakingI feel valued and enjoy mentoring new volunteers.
VOL_0002alumni0.07IndiaBrianSinghbrian.singh@helpinghands.in+91 98765 432212019-03-222024-03-1812420.084.5Food DistributionMumbaiMH54maleLogistics, Fundraising, HindiGreat experience, especially during the food drives.
VOL_0003active0.95USAShawnMillershawn.miller@seniorcare.us+1-303-555-09212018-06-052024-06-021536.70.95Senior SupportDenverCO62maleCaregiving, Organization, LeadershipVolunteering here has become a meaningful part of my life.
VOL_0004active0.81UKEmilyBrownemily.brown@animalrescue.uk+44 20 7946 07402022-01-132024-05-15213.50.774.3Animal RescueLondonEngland29femaleAnimal Care, Teamwork, EnglishI appreciate the training and support from the team.
VOL_0005at-risk0.23South KoreaJinParkjin.park@ecoaction.kr+82 2-555-64532021-05-192021-12-20370.192.9Environmental AwarenessSeoulSeoul20maleEnvironmental Advocacy, Korean, Event SupportI hope to get more involved in future events.
VOL_0006alumni0.04IndiaPriyaKumarpriya.kumar@healthwise.in+91 80456 781232017-09-102024-02-281805.80.094.7Health EducationBangaloreKA49femaleHealth Education, Training, KannadaWorking with the health education team was fulfilling.
VOL_0007inactive0.08MexicoCarlosGarciacarlos.garcia@comunidad.mx+52 55 1234 56782020-08-272022-12-1551.30.072Community Clean-upMexico CityCDMX18maleCommunity Engagement, Spanish, Cleaningblank
VOL_0008at-risk0.14UKMayaPatelmaya.patel@womenrise.org+44 161 555 87622024-02-11blank12.70.132.5Women's EmpowermentManchesterEngland17femaleAdvocacy, Communication, EnglishStill learning about the organization.

What the 120 rows show

from the 120-row sample

Active (current status) stands out: mean retention_score is 0.84, against 0.13 for the rest.

  • 0.79median retention_score
  • 4genders
  • 12primary programs
  • 184.4median total_hours_volunteered
  • 0.77median engagement_score
  • 4.2median satisfaction_rating
Mean retention_score by current_status120 rows
00.510.84active71 rows0.06inactive4 rows0.19at-risk26 rows0.07alumni19 rows
retention_score120 rows, in bands of 0.1
025502217910001450700.51retention_score →

Median 0.79, from 0.03 to 0.95.

location_country120 rows · top 10 of 26 values
  1. USA18
  2. Mexico11
  3. UK10
  4. Canada9
  5. Australia7
  6. Germany6
  7. Egypt6
  8. Portugal6
  9. India5
  10. South Korea4
20 columns by typefrom the column list below
  • string 13
  • integer 1
  • float 4
  • date 2

Columns

20 columns in three groups
blueprint · 20 columns
columntypedescriptionexample
Text 13 columns
volunteer_idstringUnique identifier for each volunteeruniqueVOL_0001
first_namestringVolunteer’s first nameAlicia
last_namestringVolunteer’s last nameHenderson
emailstringVolunteer’s email addressuniquejin.park@ecoaction.kr
phone_numberstringVolunteer’s contact phone numberoptional+1-212-555-0189
current_statusstringCurrent engagement status of the volunteeractive · inactive · at-risk · alumniactive
feedback_commentsstringOpen-ended feedback or comments from the volunteeroptionalI feel valued and enjoy m…
primary_programstringMain program or initiative the volunteer is associated with12 programs · optionalLiteracy Program
location_citystringCity where the volunteer is primarily activeoptionalNew York
location_statestringState/region where the volunteer is primarily activeoptionalNY
location_countrystringCountry where the volunteer is primarily activeoptionalUSA
genderstringGender identity of the volunteermale · female · non-binary · prefer not to say · other · optionalfemale
skillsstringComma-separated list of volunteer’s key skillsoptionalMentoring, Communication,…
Numbers 5 columns
total_hours_volunteeredfloatTotal number of hours volunteered to date0 or more183.5
retention_scorefloatScore indicating likelihood of volunteer retention (0-1 scale)0 to 1 · optional0.92
engagement_scorefloatScore indicating volunteer engagement level (0-1 scale)0 to 1 · optional0.87
satisfaction_ratingfloatVolunteer’s satisfaction rating (1-5 scale)1 to 5 · optional4.8
ageintegerAge of the volunteer13 or more · optional26
Dates and times 2 columns
date_joineddateDate the volunteer joined the organization2023-07-14
last_active_datedateDate the volunteer was last activeoptional2024-05-11

Use it for

  • median retenti…0.79120 rowsmean retention score …0.84acti…0.06inac…0.19at-r…0.07alum…

    A human resources dashboard

    Retention_score by current_status and a breakdown of location_country. Excel, Power BI or Tableau.

  • Why do the 71 active rows have a mean retention_score of 0.84?

    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 first_name, last_name and 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

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This dataset120 rows20 columns
Yours1,000 rows20 columnslocation_city: UK only

blueprint · volunteer-engagement-metrics-dataset

Behind this dataset

Same schema. As many rows as you need.

These 120 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
  • Include volunteer tenure in months and frequency of participation
  • Record feedback scores from periodic engagement surveys (1-5 scale)
  • Track event attendance and task completion rates per volunteer
  • Classify volunteers by role type and assignment frequency
  • Flag volunteers with declining participation for follow-up
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
volunteer-engagement-metrics-dataset

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