• Other
  • 26 columns
  • 44 rows
  • 8 formats

Community Outreach Engagement Log

This dataset provides a detailed log of nonprofit community outreach events, tracking attendance, volunteer hours, demographic reach, and follow-up outcomes. It enables nonprofit managers to monitor engagement, assess program impact, and optimize strategic decision-making for future outreach initiatives. The dataset is ideal for reporting, compliance, and continuous improvement in community programs.

  • last updated 20 Dec 2025
  • by GoMask
The brief that made it

Tracking and analyzing participation in community outreach programs

Sample rows

preview · 8 of 44 rows · all 26 columns
engagement_idstringevent_typestringattendee_countintegerfollow_up_requiredbooleandemographic_ethnicitiesstringevent_idstringevent_namestringevent_datedatelocation_namestringlocation_street_addressstringlocation_citystringlocation_statestringlocation_postal_codestringlocation_countrystringvolunteer_countintegertotal_volunteer_hoursfloatdemographic_age_groupsstringdemographic_gendersstringdemographic_otherstringfollow_up_completedbooleanfollow_up_datedatemanager_idstringmanager_namestringcreated_atdatetimeupdated_atdatetimeoutcome_summarystring
ENG-0001cleanup85trueWhite,Black,HispanicEVT-101Spring Park Cleanup2023-03-21Willow Park120 Willow AveGreenvilleNC27834USA1236adults,seniorsmale,femalepeople with disabilitiestrue2023-03-25MGR-01Linda Tran2023-03-21T10:12:002023-03-26T09:44:00Park cleanliness improved, positive feedback from city
ENG-0002workshop42falseAsian,WhiteEVT-102Job Skills Workshop2023-04-04Community Learning Center15 Oak StFairviewOH44126USA822.5adults,youthfemale,non-binaryblankblankblankMGR-02Carlos Mendoza2023-04-04T08:55:002023-04-04T17:15:00Participants gained resume writing skills
ENG-0003seminar66trueBlack,HispanicEVT-103Senior Health Seminar2023-04-17Riverside Senior Center330 River RdRiversideCA92501USA514seniorsfemale,maleblankfalseblankMGR-03Ayesha Malik2023-04-17T09:23:002023-04-17T15:01:00Health screening conducted, follow-up needed for referrals
ENG-0004fundraiser120falseWhite,Black,Asian,HispanicEVT-104Neighborhood Fundraiser2023-05-02Heritage Hall22 Maple DrBrooklynNY11201USA1644.5adults,childrenmale,female,non-binaryblankblankblankMGR-04Samuel Green2023-05-02T14:06:002023-05-02T21:54:00Raised $3,500 for local shelter
ENG-0005training36trueHispanic,WhiteEVT-105Youth Leadership Training2023-06-11Eastside YMCA707 Eastview RdColumbusOH43211USA718youth,adultsmale,non-binaryblanktrue2023-06-19MGR-05Emily Wu2023-06-11T08:00:002023-06-20T11:27:00Leadership skills improved, positive survey responses
ENG-0006cleanup91trueWhite,BlackEVT-101Spring Park Cleanup2023-03-21Willow Park120 Willow AveGreenvilleNC27834USA1133adults,seniors,childrenfemale,maleblanktrue2023-03-27MGR-01Linda Tran2023-03-21T11:09:002023-03-27T15:42:00Community expressed gratitude, area revitalized
ENG-0007fundraiser62falseWhite,HispanicEVT-106Family Food Drive2023-07-09St. Mark Church1012 Pine BlvdSpringfieldIL62704USA1428children,adultsmale,femaleblankblankblankMGR-06Marcus Lane2023-07-09T10:48:002023-07-09T18:00:00Collected 440 lbs of food for local pantry
ENG-0008seminar49trueAsian,WhiteEVT-107Environmental Awareness Seminar2023-08-15City Library400 Main StAustinTX78701USA613.5adults,youthnon-binary,femaleblankfalseblankMGR-07Priya Singh2023-08-15T09:10:002023-08-15T14:20:00Raised awareness of local recycling programs

What the 44 rows show

from the 44-row sample

Fundraiser (event type) stands out: mean attendee_count is 103.4, against 46.4 for the rest.

  • 57%follow_up_required = true
  • 51.5median attendee_count
  • 8demographic genderses
  • 13demographic age groupses
  • 7.5median volunteer_count
  • 15.0median total_volunteer_hours
Mean attendee_count by event_type44 rows
010020032.6works…9 rows50.4semin…9 rows72.2clean…6 rows103.4fundr…10 rows29.6train…7 rows63.0other3 rows
attendee_count44 rows, in bands of 20
06122121195212080160attendee_count →

Median 51.5, from 16 to 155.

demographic_ethnicities44 rows · top 10 of 19 values
  1. Black,Hispanic6
  2. White,Hispanic5
  3. White,Black4
  4. White,Asian4
  5. Asian,White3
  6. Black,Hispanic,White3
  7. Black,White,Hispanic3
  8. White,Hispanic,Black3
  9. Hispanic,White2
  10. White,Native American2
26 columns by typefrom the column list below
  • string 17
  • integer 2
  • float 1
  • date 2
  • datetime 2
  • boolean 2

Columns

26 columns in four groups
blueprint · 26 columns
columntypedescriptionexample
Text 17 columns
engagement_idstringUnique identifier for each engagement log entryuniqueENG-0001
event_idstringUnique identifier for the outreach eventEVT-101
event_namestringName of the community outreach eventSpring Park Cleanup
event_typestringType or category of the event (e.g., workshop, seminar, cleanup)6 valuescleanup
location_namestringName of the venue or location where the event was heldoptionalWillow Park
location_street_addressstringStreet address of the event locationoptional120 Willow Ave
location_citystringCity where the event took placeoptionalGreenville
location_statestringState or province of the event locationoptionalNC
location_postal_codestringPostal code of the event locationoptional27834
location_countrystringCountry where the event took placeoptionalUSA
demographic_age_groupsstringComma-separated list of age groups reached (e.g., 'children,adults,seniors')optionaladults,seniors
demographic_gendersstringComma-separated list of genders reached (e.g., 'male,female,non-binary')8 genderses · optionalmale,female
demographic_ethnicitiesstringComma-separated list of ethnic groups reachedoptionalWhite,Black,Hispanic
demographic_otherstringOther relevant demographic information (e.g., 'veterans, people with disabilities')2 others · optionalpeople with disabilities
outcome_summarystringSummary of outcomes or impact from the event (e.g., goals met, community feedback)optionalPark cleanliness improved…
manager_idstringUnique identifier for the nonprofit manager responsible for the eventMGR-01
manager_namestringName of the nonprofit manager responsible for the eventoptionalLinda Tran
Numbers 3 columns
attendee_countintegerTotal number of attendees at the event0 or more85
volunteer_countintegerNumber of volunteers who participated in the event0 or more12
total_volunteer_hoursfloatTotal number of volunteer hours contributed at the event0 or more36
Dates and times 4 columns
event_datedateDate when the event took place2023-03-21
follow_up_datedateDate when follow-up actions were completedoptional2023-03-25
created_atdatetimeTimestamp when the engagement log entry was created2023-03-21T10:12:00
updated_atdatetimeTimestamp when the engagement log entry was last updated2023-03-26T09:44:00
True or false 2 columns
follow_up_requiredbooleanIndicates if follow-up actions are required after the eventtrue
follow_up_completedbooleanIndicates if follow-up actions have been completedoptionaltrue

Use it for

  • follow up requ…57%25 of 44 rowsmean attendee count b…32.6work…50.4semi…72.2clea…103.4fund…

    A dashboard

    The follow_up_required rate, attendee_count by event_type and a breakdown of demographic_ethnicities. Excel, Power BI or Tableau.

  • Why do the 10 fundraiser rows have a mean attendee_count of 103.4?

    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 engagements with event_id, event_name and event_date to fill a screen in front of a buyer.

Not quite right?

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This dataset44 rows26 columns
Yours1,000 rows26 columnslocation_name: UK only

blueprint · community-outreach-engagement-log

Behind this dataset

Same schema. As many rows as you need.

These 44 rows came out of a blueprint — 26 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 outreach event or session.
  • Attendance must be logged with participant demographic breakdowns.
  • Volunteer hours are recorded per event, not cumulatively.
  • Follow-up actions (e.g., referrals, sign-ups) are tracked and categorized.
  • Include outcome ratings based on predefined impact criteria.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
community-outreach-engagement-log

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