• Other
  • 18 columns
  • 82 rows
  • 8 formats

Volunteer Engagement Impact Metrics

This dataset provides detailed records of volunteer engagement across nonprofit programs, including participation dates, hours contributed, retention status, and impact metrics. It enables nonprofits to analyze volunteer effectiveness, optimize resource allocation, and directly link volunteer contributions to program outcomes for data-driven decision-making.

  • last updated 4 Jan 2026
  • by GoMask
The brief that made it

Measuring volunteer retention and contribution trends across programs

Sample rows

preview · 8 of 82 rows · all 18 columns
volunteer_idstringvolunteer_statusstringimpact_scorefloatretained_next_periodbooleanprogram_namestringvolunteer_first_namestringvolunteer_last_namestringvolunteer_emailstringvolunteer_join_datedateprogram_idstringprogram_categorystringparticipation_start_datedateparticipation_end_datedatehours_contributedfloatactivities_completedintegerprogram_outcome_metricfloatfeedback_ratingfloatlast_updateddatetime
VLT001active92.3trueLiteracy OutreachEvelynChenevelyn.chen1@example.org2020-09-10PRG1001education2022-01-13blank52.582154.82024-05-09T14:24:37
VLT002pending22.6falseGreen Spaces RevitalizationMartinPadillamartin.padilla@example.net2023-03-22PRG1002environment2024-02-01blank10130blank2024-06-03T09:50:12
VLT003active37.2falseCommunity Health FairsFatimaMunozfatima.munoz@example.com2021-06-18PRG1003health2023-12-112024-01-1215.521203.72024-01-13T16:15:01
VLT004retired67.9falseLiteracy OutreachJasperNguyenjasper.nguyen@example.org2019-11-02PRG1001education2020-02-152022-01-01110164804.22022-01-02T10:03:54
VLT005inactive29.5falseYouth MentorshipAvaRiversava.rivers@example.net2023-07-09PRG1004education2023-08-012024-05-10325602.62024-05-11T18:00:10
VLT006active59.6trueGreen Spaces RevitalizationRobertoJacksonroberto.jackson@example.com2022-02-05PRG1002environment2022-09-13blank406854.52024-05-02T11:21:47
VLT007active87.1trueSenior Support ConnectLilaSharmalila.sharma@example.org2020-04-12PRG1005health2021-03-01blank75132104.92024-06-01T09:23:07
VLT008pending13.4falseFood Security NetworkSantiagoKims.kim.santiago@example.net2022-12-15PRG1006health2024-02-16blank6125blank2024-06-03T10:13:55

What the 82 rows show

from the 82-row sample

Active (volunteer status) stands out: 38 of its 39 rows have retained_next_period = true, against 0 of 43 for the rest.

  • 46%retained_next_period = true
  • 56.7median impact_score
  • 4program categories
  • 28.8median hours_contributed
  • 4.5median activities_completed
  • 79median program_outcome_metric
Retained next period rate by volunteer_statusretained_next_period = true
0%50%100%97%active38 of 390%inactive0 of 170%pending0 of 130%retired0 of 13

Active (volunteer status)'s mean impact_score is 68.5, against 36.1 for inactive, 20.6 for pending and 62.7 for retired.

impact_score82 rows, in bands of 10
07143886119111484050100impact_score →

Median 56.7, from 5.9 to 98.6.

program_name82 rows · top 10 of 24 values
  1. Green Spaces Revitalization5
  2. Youth Mentorship5
  3. Senior Support Connect5
  4. River Cleanup5
  5. Community Garden Project5
  6. Literacy Outreach4
  7. Community Health Fairs4
  8. Food Security Network4
  9. Emergency Relief4
  10. Wellness Path4
18 columns by typefrom the column list below
  • string 8
  • integer 1
  • float 4
  • date 3
  • datetime 1
  • boolean 1

Columns

18 columns in four groups
blueprint · 18 columns
columntypedescriptionexample
Text 8 columns
volunteer_idstringUnique identifier for each volunteeruniqueVLT001
volunteer_first_namestringFirst name of the volunteerEvelyn
volunteer_last_namestringLast name of the volunteerChen
volunteer_emailstringEmail address of the volunteeruniqueevelyn.chen1@example.org
volunteer_statusstringCurrent engagement status of the volunteeractive · inactive · pending · retiredactive
program_idstringUnique identifier for the nonprofit program or initiativePRG1001
program_namestringName of the nonprofit program or initiativeLiteracy Outreach
program_categorystringCategory or type of the program (e.g., education, health, environment)4 categorieseducation
Numbers 5 columns
hours_contributedfloatTotal number of hours contributed by the volunteer to the program0 or more52.5
activities_completedintegerNumber of distinct activities or tasks completed by the volunteer in the program0 or more8
program_outcome_metricfloatQuantitative outcome metric for the program during the volunteer's participation (e.g., beneficiaries served, funds raised)0 or more · optional215
impact_scorefloatCalculated impact score representing the volunteer's contribution to program outcomes0 to 100 · optional92.3
feedback_ratingfloatAverage feedback rating received by the volunteer from program staff or beneficiaries (scale 1-5)1 to 5 · optional4.8
Dates and times 4 columns
volunteer_join_datedateDate the volunteer joined the organization2020-09-10
participation_start_datedateDate the volunteer started participating in the program2022-01-13
participation_end_datedateDate the volunteer ended participation in the program (null if ongoing)optional2024-01-12
last_updateddatetimeTimestamp of the last update to this record2024-05-09T14:24:37
True or false 1 column
retained_next_periodbooleanIndicates if the volunteer was retained for the next reporting period in the same programtrue

Use it for

  • retained next …46%38 of 82 rowsmean impact score by …68.5acti…36.1inac…20.6pend…62.7reti…

    A dashboard

    The retained_next_period rate, impact_score by volunteer_status and a breakdown of program_name. Excel, Power BI or Tableau.

  • Why do 38 of 82 rows have retained_next_period = true?

    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?

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blueprint · volunteer-engagement-impact-metrics

Behind this dataset

Same schema. As many rows as you need.

These 82 rows came out of a blueprint — 18 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-program engagement instance.
  • Include volunteer role, duration, participation frequency, and skills matched.
  • Track retention rates by program and volunteer demographic.
  • Calculate outcome score based on predefined program objectives.
  • Flag engagement anomalies for further review.
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-impact-metrics

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