• Other
  • 20 columns
  • 75 rows
  • 8 formats

Nonprofit Program Impact Dashboard

This dataset provides detailed, program-level impact metrics for nonprofit organizations, including beneficiary reach, project completion rates, engagement scores, funding utilization, and geographic coverage. Designed for transparency and benchmarking, it enables program directors and stakeholders to analyze performance, optimize resource allocation, and communicate outcomes effectively.

  • last updated 30 Dec 2025
  • by GoMask
The brief that made it

Benchmarking nonprofit program performance across organizations and regions

Sample rows

preview · 8 of 75 rows · all 20 columns
program_idstringstatusstringproject_completion_ratefloatlocation_countrystringprogram_namestringorganization_namestringprogram_categorystringstart_datedateend_datedatetotal_beneficiariesintegertarget_beneficiariesintegerengagement_scorefloatvolunteer_hoursfloatfunds_allocatedfloatfunds_utilizedfloatlocation_citystringlocation_statestringlast_updateddatetimeprogram_managerstringnotesstring
PRG2024001completed98.7USALiteracy Boost InitiativeFutureLearn Foundationeducation2022-03-152023-09-011200130088.3450.5150000147800.3ChicagoIllinois2023-09-03T14:44:12Ava MartinezExceeded original engagement targets.
PRG2024002active72.1USAGreen SchoolyardsEcoFutureenvironment2021-05-102024-02-28890120078.53209800075100.12OaklandCalifornia2024-04-10T10:17:03Michael ChenDelay due to weather challenges in Q4.
PRG2024003completed100KenyaHealth Access KenyaGlobalCare Initiativehealth2023-01-182023-12-152500250091.7520.25210000209750NairobiNairobi2023-12-20T16:08:40Fatima MwangiAll targets met; high community engagement.
PRG2024004completed97.5GhanaClean Water ProjectWater4Allenvironment2022-06-012023-11-303100320084.6600180000178800AccraGreater Accra2023-12-01T09:31:19Kwame MensahWater source contamination addressed in mid-2023.
PRG2024005active58.3USAGirls in STEMTechEd Noweducation2023-09-01blank41070082.41426400031000BostonMassachusetts2024-06-02T15:05:22Priya AgarwalStrong interest in robotics workshops.
PRG2024006completed98.2USAMinds Matter YouthBrightPath Foundationeducation2022-01-202022-12-1578080086.12104800047550DenverColorado2022-12-16T12:31:44Cameron LeeEnd-of-program survey showed positive impact.
PRG2024007completed95.9CanadaSafe Shelter NetworkHomeFirsthousing2021-10-112022-10-3052060076.4335.55700056400.75TorontoOntario2022-11-01T18:22:00Jordan McKennaLocal government partnership improved reach.
PRG2024008active63.6NigeriaNutrition OutreachHealthy Tomorrowhealth2023-04-10blank1350200080.21908500050000LagosLagos2024-05-15T11:23:09Chidi OkaforMobile clinics expanded in Q2 2024.

What the 75 rows show

from the 75-row sample

Completed status stands out: mean project_completion_rate is 95.3, against 38.0 for the rest.

  • 90.0median project_completion_rate
  • 9program categories
  • 21organization names
  • 350median total_beneficiaries
  • 500median target_beneficiaries
  • 77.6median engagement_score
Mean project_completion_rate by status75 rows
0501000.0planned2 rows40.8active29 rows95.3completed42 rows34.6on_hold2 rows
project_completion_rate75 rows, in bands of 10
0204024646722438050100project_completion_rate →

Median 90.0, from 0.0 to 100.0.

location_country75 rows · top 10 of 32 values
  1. USA13
  2. United Kingdom9
  3. Canada4
  4. Australia4
  5. South Africa3
  6. Spain3
  7. India3
  8. Ireland3
  9. Portugal3
  10. Ghana2
20 columns by typefrom the column list below
  • string 10
  • integer 2
  • float 5
  • date 2
  • datetime 1

Columns

20 columns in three groups
blueprint · 20 columns
columntypedescriptionexample
Text 10 columns
program_idstringUnique identifier for each nonprofit program.uniquePRG2024001
program_namestringOfficial name of the nonprofit program.Green Schoolyards
organization_namestringName of the nonprofit organization running the program.FutureLearn Foundation
program_categorystringThematic area or category of the program (e.g., education, health, environment).9 categorieseducation
statusstringCurrent status of the program.planned · active · completed · on_hold · cancelledcompleted
location_citystringPrimary city where the program is implemented.optionalChicago
location_statestringPrimary state or region where the program is implemented.optionalIllinois
location_countrystringCountry where the program is implemented.USA
program_managerstringName of the primary program manager or director.optionalAva Martinez
notesstringAdditional notes or remarks about the program's outcomes or challenges.optionalFinal report submitted.
Numbers 7 columns
total_beneficiariesintegerTotal number of unique beneficiaries reached by the program.0 or more1200
target_beneficiariesintegerTarget number of beneficiaries set for the program.0 or more · optional1300
project_completion_ratefloatPercentage of planned projects or activities completed within the program (0-100).0 to 10098.7
engagement_scorefloatComposite score reflecting beneficiary engagement (e.g., attendance, participation, feedback), scaled 0-100.0 to 100 · optional88.3
volunteer_hoursfloatTotal number of volunteer hours contributed to the program.0 or more · optional450.5
funds_allocatedfloatTotal funds allocated to the program (in USD).0 or more · optional150000
funds_utilizedfloatTotal funds utilized/spent by the program (in USD).0 or more · optional147800.3
Dates and times 3 columns
start_datedateDate when the program started.2022-03-15
end_datedateDate when the program ended or is expected to end.optional2023-09-01
last_updateddatetimeTimestamp when the program record was last updated.2023-09-03T14:44:12

Use it for

  • median project…90.075 rowsmean project completi…0.0plan…40.8acti…95.3comp…34.6on_h…

    A dashboard

    Project_completion_rate by status and a breakdown of location_country. Excel, Power BI or Tableau.

  • Why do the 42 completed rows have a mean project_completion_rate of 95.3?

    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 programs with program_name, organization_name and program_category to fill a screen in front of a buyer.

Not quite right?

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This dataset75 rows20 columns
Yours10,000 rows20 columnslocation_city: UK only

blueprint · nonprofit-program-impact-dashboard

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 program reporting period.
  • Metrics include beneficiaries reached, funds utilized, and engagement level.
  • Outcome scores must align with reported activities and budget spent.
  • Programs must be classified by intervention type (e.g., education, health, environment).
  • Engagement trends reflect donor and beneficiary feedback collected quarterly.
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
nonprofit-program-impact-dashboard

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