Human Resources
20 columns
75 rows
8 formats

Volunteer Engagement and Retention Metrics

This dataset provides detailed records of volunteer participation, engagement, satisfaction, and retention across nonprofit campaigns, including demographic insights and feedback. It enables organizations to analyze factors influencing volunteer longevity, optimize program effectiveness, and improve volunteer experience through data-driven decisions.

last updated 25 Jan 2026
by GoMask

The brief that made it

Analyzing volunteer retention and engagement trends

Sample rows

preview · 8 of 75 rows · all 20 columns

volunteer_idstring	retention_statusstring	engagement_scorefloat	is_activeboolean	demographic_age_groupstring	first_namestring	last_namestring	emailstring	phone_numberstring	date_joineddate	last_active_datedate	campaign_idstring	campaign_namestring	campaign_start_datedate	campaign_end_datedate	hours_volunteeredfloat	satisfaction_ratinginteger	feedback_commentsstring	reason_for_leavingstring	demographic_genderstring
vol_001	retained	76.2	true	25-34	Emily	Johnson	emily.johnson1@example.org	+1-555-123-4567	2022-01-12	2023-02-10	camp_2022A	Winter Warmth Drive	2022-01-10	2022-03-31	18.5	4	Felt well organized and impactful.	blank	female
vol_002	retained	89.1	true	35-44	Michael	Lee	mlee_2022@example.com	+1-555-246-8021	2023-03-06	2023-10-18	camp_2023B	Spring Green Project	2023-03-01	2023-06-15	22	5	Loved working outdoors with other volunteers.	blank	male
vol_003	not_retained	68.5	false	18-24	Priya	Singh	priya.singh@example.org	+44 7900 123456	2021-09-15	2022-09-17	camp_2021C	Back to School Supplies	2021-09-01	2021-09-30	12.5	3	Could use more coordination.	Moved out of town	female
vol_004	not_retained	54.9	false	25-34	Carlos	Gomez	gomez.carlos@example.com	+1 555-333-9876	2022-05-22	2022-08-19	camp_2022D	Summer Meals	2022-06-01	2022-08-31	8	2	Had to leave early due to work.	New job schedule	male
vol_005	pending	47.8	false	45-54	Morgan	Taylor	morgan.taylor2023@example.net	+1 555-678-4321	2023-01-05	2023-03-20	camp_2023E	Neighborhood Clean-up	2023-02-15	2023-02-28	5.5	3	Nice group, but short sessions.	Considering future participation	nonbinary
vol_006	not_retained	65.3	false	55-64	Sophie	Brown	sophie.brown8@example.com	+1 555-555-1234	2021-04-14	2022-02-20	camp_2021F	Food Pantry Support	2021-05-01	2021-07-31	16	4	Great teamwork.	Health issues	female
vol_007	retained	92.7	true	35-44	David	Nguyen	d.nguyen2022@example.org	+1 555-111-2222	2022-07-09	2023-04-05	camp_2022G	Community Garden	2022-07-01	2022-11-20	27.5	5	Loved the long-term impact.	blank	male
vol_008	pending	82.1	true	18-24	Ava	Martinez	ava.martinez@example.com	+1 555-777-6543	2023-08-01	2023-09-18	camp_2023H	School Backpack Drive	2023-08-05	2023-09-10	10	4	Enjoyed helping kids.	blank	female
vol_009	not_retained	51.5	false	65+	James	O'Donnell	j.odonnell@example.net	+1 555-222-8432	2020-10-20	2021-11-02	camp_2020I	Autumn Food Harvest	2020-10-01	2020-11-15	7	2	Sessions were too short.	Limited time available	male
vol_010	retained	73.9	true	25-34	Zara	Ali	zara.ali@example.org	+1 555-394-2378	2022-12-02	2023-04-11	camp_2023J	Spring Reading Circle	2023-03-10	2023-04-30	14.5	4	Well planned event.	blank	female
vol_011	not_retained	38.4	false	18-24	Oliver	Smith	oliver.smith1@example.com	+1 555-888-1234	2019-08-17	2020-09-05	camp_2019K	Summer Literacy Program	2019-08-01	2019-08-31	6.5	2	Would have liked more activities.	College commitments	male
vol_012	retained	87.6	true	25-34	Lily	Evans	l.evans@example.org	+1 555-321-9876	2022-05-18	2023-01-10	camp_2022L	Holiday Toy Collection	2022-12-01	2022-12-31	11	5	Loved making kids smile.	blank	female
vol_013	not_retained	62.9	false	35-44	Jacob	Chen	jacob.chen@example.net	+1 555-444-6677	2020-02-25	2021-06-02	camp_2020M	Spring Health Fair	2020-03-15	2020-04-15	9.5	3	Enjoyed the outreach aspect.	Family responsibilities	male
vol_014	retained	95.2	true	18-24	Isabella	Garcia	isabella.garcia@example.com	+1 555-222-7654	2023-02-15	2023-06-21	camp_2023N	Community Art Festival	2023-05-01	2023-06-20	19	5	Amazing creative experience.	blank	female
vol_015	not_retained	41.3	false	55-64	Samuel	Peterson	sam.peterson@example.org	+1 555-123-3333	2022-06-11	2022-08-01	camp_2022O	Senior Companion Program	2022-06-15	2022-07-30	4	2	Needed more volunteers.	Low volunteer participation	male
vol_016	not_retained	58.8	false	25-34	Grace	Kim	grace.kim2@example.net	+1 555-666-7890	2021-11-03	2022-04-25	camp_2021P	Thanksgiving Food Drive	2021-11-20	2021-12-01	6	3	blank	Moved away	female
vol_017	retained	88.7	true	35-44	Henry	Williams	henry.williams@example.com	+1 555-999-4321	2023-05-05	2023-10-01	camp_2023Q	Summer Recreation Support	2023-06-01	2023-08-31	23.5	5	Fun atmosphere, good teamwork.	blank	male
vol_018	pending	57.2	false	45-54	Chloe	Turner	chloe.turner@example.net	+1 555-222-1111	2022-09-18	2022-10-30	camp_2022R	Fall Clothing Collection	2022-10-01	2022-10-31	7.5	3	Short but rewarding experience.	Undecided	female
vol_019	not_retained	44.6	false	65+	Lucas	Miller	lucas.miller@example.org	+1 555-888-5678	2021-01-02	2021-02-15	camp_2021S	Winter Shelter Assistance	2021-01-10	2021-02-10	6.5	2	Cold weather made it tough.	Seasonal only	male
vol_020	pending	53.2	false	25-34	Mia	Stewart	miastewart@example.com	+1 555-555-1235	2022-07-20	2022-08-14	camp_2022T	Youth Sports Mentoring	2022-08-01	2022-08-13	5	3	Fun with kids.	Undecided	female

What the 75 rows show

from the 75-row sample

Retained (retention status) stands out: 32 of its 32 rows have is_active = true, against 2 of 43 for the rest.

45%is_active = true
72.5median engagement_score
3demographic genders
8.5median hours_volunteered
4median satisfaction_rating

Is active rate by retention_statusis_active = true

Retained (retention status)'s mean engagement_score is 87.8, against 58.3 for not_retained and 67.1 for pending.

engagement_score75 rows, in bands of 10

Median 72.5, from 29.7 to 97.6.

demographic_age_group75 rows · 7 values

25-3420
35-4416
18-2415
45-5410
55-649
65+4
under_181

20 columns by typefrom the column list below

string 12
integer 1
float 2
date 4
boolean 1

Columns

20 columns in four groups

blueprint · 20 columns
column	type	description	example
Text 12 columns
`volunteer_id`	string	Unique identifier for each volunteerunique	vol_001
`first_name`	string	Volunteer’s first name	Emily
`last_name`	string	Volunteer’s last name	Johnson
`email`	string	Volunteer’s email addressunique	mlee_2022@example.com
`phone_number`	string	Volunteer’s phone numberoptional	+1-555-123-4567
`campaign_id`	string	Unique identifier for the campaign the volunteer participated in	camp_2022A
`campaign_name`	string	Name of the campaign	Winter Warmth Drive
`feedback_comments`	string	Open-ended feedback from the volunteer about the campaignoptional	Great teamwork.
`retention_status`	string	Indicates if the volunteer returned for subsequent campaignsretained · not_retained · pending	retained
`reason_for_leaving`	string	Reason provided by volunteer for leaving (if applicable)optional	Moved out of town
`demographic_age_group`	string	Age group of the volunteer (e.g., 18-24, 25-34, etc.)7 values · optional	25-34
`demographic_gender`	string	Gender of the volunteermale · female · nonbinary · prefer_not_to_say · optional	female
Numbers 3 columns
`hours_volunteered`	float	Total hours volunteered by the individual in the campaign0 or more	18.5
`engagement_score`	float	Calculated engagement score for the volunteer in the campaign (e.g., 0-100)0 to 100 · optional	76.2
`satisfaction_rating`	integer	Volunteer’s satisfaction rating for the campaign (1-5 scale)1 to 5 · optional	4
Dates and times 4 columns
`date_joined`	date	Date the volunteer joined the organization	2022-01-12
`last_active_date`	date	Date the volunteer was last activeoptional	2023-02-10
`campaign_start_date`	date	Start date of the campaign	2022-01-10
`campaign_end_date`	date	End date of the campaignoptional	2022-03-31
True or false 1 column
`is_active`	boolean	Indicates if the volunteer is currently active	true

Use it for

A human resources dashboard
The is_active rate, engagement_score by retention_status and a breakdown of demographic_age_group. Excel, Power BI or Tableau.
Why do 34 of 75 rows have is_active = true?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Volunteers75
vol_00176.2retained
vol_00289.1retained
vol_00368.5not_reta…
A software demo
Believable volunteers with first_name, last_name and email to fill a screen in front of a buyer.

This dataset75 rows20 columns

Yours10,000 rows20 columns

blueprint · volunteer-engagement-and-retention-metrics

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 and campaign pairing.
Engagement scores are calculated monthly based on attendance and self-reported satisfaction.
Retention is tracked by consecutive months of active participation.
Campaign types must be diversified (e.g., fundraising, awareness, direct service).
Include volunteer demographic and skill background.

Rows1,000 rows10,000 rows100,000 rows1,000,000 rows

Open the blueprint in Data Factory

1 credit per row. New accounts start with 25 free credits.

Exports: CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence: yours to use, including commercially
API slug: volunteer-engagement-and-retention-metrics

What should your data show?

No signup. No card.

Sample rows

What the 75 rows show

Columns

Use it for

A human resources dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Human Resources

What should your data show?