Grant Distribution Efficiency Tracker
This dataset provides detailed records of nonprofit grant distributions, including request and approval timelines, fund transfer durations, and program impact scores. It enables managers to identify bottlenecks, optimize resource allocation, and analyze the efficiency of grant processes across programs and managers.
Sample rows
preview · 8 of 65 rows · all 16 columns| grant_request_idstring | program_impact_scorefloat | bottleneck_flagboolean | program_idstring | program_namestring | request_datedate | approval_datedate | fund_transfer_datedate | requested_amountfloat | approved_amountfloat | fund_transferred_amountfloat | approval_duration_daysinteger | fund_transfer_duration_daysinteger | manager_idstring | notesstring | bottleneck_reasonstring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| GR-20240101-001 | 88.6 | false | P-ENV-01 | Clean Water Initiative | 2024-01-02 | 2024-01-05 | 2024-01-10 | 35000 | 32000 | 32000 | 3 | 5 | MGR-105 | Smooth approval process, funds transferred on time. | blank |
| GR-20240101-002 | 72.3 | false | P-EDU-03 | After School Tutoring | 2024-01-03 | 2024-01-07 | 2024-01-11 | 15000 | 15000 | 14000 | 4 | 4 | MGR-104 | Partial transfer due to end-of-year budget adjustment. | blank |
| GR-20240101-003 | 63.7 | true | P-HLTH-02 | Mobile Clinic Support | 2024-01-04 | 2024-01-09 | 2024-01-20 | 22000 | 21000 | 21000 | 5 | 11 | MGR-101 | Manager followed up with finance department. | Delayed due to documentation review. |
| GR-20240101-004 | 91.2 | false | P-ENV-01 | Clean Water Initiative | 2024-01-05 | 2024-01-08 | 2024-01-12 | 42000 | 40000 | 40000 | 3 | 4 | MGR-106 | High impact anticipated in rural regions. | blank |
| GR-20240101-005 | 78.4 | false | P-AGRI-04 | Urban Farming Pilot | 2024-01-07 | 2024-01-14 | 2024-01-19 | 18000 | 18000 | 17500 | 7 | 5 | MGR-103 | Minor adjustment in transfer due to banking fee. | blank |
| GR-20240101-006 | 82.9 | false | P-EDU-01 | Literacy Boost | 2024-01-08 | 2024-01-11 | 2024-01-16 | 25000 | 25000 | 25000 | 3 | 5 | MGR-102 | Community feedback positive. | blank |
| GR-20240101-007 | 58.6 | true | P-HLTH-02 | Mobile Clinic Support | 2024-01-09 | 2024-01-18 | 2024-01-25 | 20000 | 19500 | 19500 | 9 | 7 | MGR-101 | Delay flagged for process improvement. | Extended approval due to compliance review. |
| GR-20240101-008 | 84.1 | false | P-EDU-02 | STEM Summer Camp | 2024-01-11 | 2024-01-14 | 2024-01-19 | 16000 | 16000 | 16000 | 3 | 5 | MGR-104 | Camp fully funded; high registration. | blank |
| GR-20240101-009 | 73.2 | false | P-AGRI-04 | Urban Farming Pilot | 2024-01-12 | 2024-01-19 | 2024-01-24 | 19500 | 19000 | 19000 | 7 | 5 | MGR-103 | On track for next phase. | blank |
| GR-20240101-010 | 95.7 | false | P-ENV-03 | Solar Schools Project | 2024-01-13 | 2024-01-17 | 2024-01-22 | 29000 | 28000 | 28000 | 4 | 5 | MGR-105 | Positive media coverage expected. | blank |
| GR-20240101-011 | blank | false | P-EDU-03 | After School Tutoring | 2024-01-14 | 2024-01-18 | blank | 12000 | 12000 | blank | 4 | blank | MGR-104 | Awaiting fund transfer. | blank |
| GR-20240101-012 | 89.5 | true | P-ENV-02 | River Cleanup | 2024-01-16 | 2024-01-19 | 2024-01-28 | 33000 | 32000 | 32000 | 3 | 9 | MGR-106 | Finance to review process. | Banking issue delayed transfer. |
| GR-20240101-013 | 67.9 | false | P-HLTH-01 | Vaccination Outreach | 2024-01-17 | 2024-01-19 | 2024-01-23 | 28000 | 27000 | 27000 | 2 | 4 | MGR-102 | Quick turnaround. | blank |
| GR-20240101-014 | 79.2 | false | P-HLTH-03 | Mental Health Awareness | 2024-01-18 | 2024-01-23 | 2024-01-28 | 21000.5 | 20500.5 | 20500.5 | 5 | 5 | MGR-101 | Positive community response anticipated. | blank |
| GR-20240101-015 | 80.6 | false | P-EDU-02 | STEM Summer Camp | 2024-01-19 | 2024-01-23 | 2024-01-30 | 17500 | 17000 | 17000 | 4 | 7 | MGR-104 | Funding gap covered by secondary source. | blank |
| GR-20240101-016 | blank | false | P-ENV-03 | Solar Schools Project | 2024-01-21 | blank | blank | 31000 | blank | blank | blank | blank | MGR-105 | Application under review. | blank |
| GR-20240101-017 | 87.4 | false | P-EDU-01 | Literacy Boost | 2024-01-22 | 2024-01-25 | 2024-01-28 | 24500 | 24500 | 24500 | 3 | 3 | MGR-102 | Strong stakeholder engagement. | blank |
| GR-20240101-018 | 71.8 | false | P-HLTH-01 | Vaccination Outreach | 2024-01-23 | 2024-01-27 | 2024-01-31 | 26500 | 26000 | 26000 | 4 | 4 | MGR-102 | No issues. | blank |
| GR-20240101-019 | 93.3 | true | P-ENV-02 | River Cleanup | 2024-01-24 | 2024-02-01 | 2024-02-11 | 34000 | 33000 | 32000 | 8 | 10 | MGR-106 | Lessons learned for future cycles. | Approval delayed by environmental review. |
| GR-20240101-020 | 85.2 | false | P-AGRI-05 | Food Security Network | 2024-01-25 | 2024-01-28 | 2024-02-03 | 26000 | 25000 | 25000 | 3 | 6 | MGR-103 | Implementation started ahead of schedule. | blank |
What the 65 rows show
from the 65-row sample- 17%bottleneck_
flag = true - 82.2median program_
impact_ score - 15managers
- 34,000median requested_
amount - 33,000median approved_
amount - 33,500median fund_
transferred_ amount
Median 82.2, from 58.6 to 96.4.
- string 6
- integer 2
- float 4
- date 3
- boolean 1
Columns
16 columns in four groups| column | type | description | example |
|---|---|---|---|
| Text 6 columns | |||
grant_request_id | string | Unique identifier for each grant requestunique | GR-20240101-001 |
program_id | string | Unique identifier for the program receiving the grant | P-ENV-01 |
program_name | string | Name of the program receiving the grant | Clean Water Initiative |
bottleneck_reason | string | Short description of the bottleneck reason if applicableoptional | Delayed due to documentat… |
manager_id | string | Identifier for the nonprofit manager responsible for this grant distributionoptional | MGR-105 |
notes | string | Additional notes or comments regarding the grant distribution processoptional | On track for next phase. |
| Numbers 6 columns | |||
requested_amount | float | Amount of funds requested in the grant application0 or more | 35000 |
approved_amount | float | Amount of funds approved for the grant0 or more · optional | 32000 |
fund_transferred_amount | float | Actual amount of funds transferred to the program0 or more · optional | 32000 |
approval_duration_days | integer | Number of days between request and approval0 or more · optional | 3 |
fund_transfer_duration_days | integer | Number of days between approval and fund transfer0 or more · optional | 5 |
program_impact_score | float | Impact score assigned to the program after receiving the grant (e.g., 0-100)0 to 100 · optional | 88.6 |
| Dates and times 3 columns | |||
request_date | date | Date when the grant was requested | 2024-01-02 |
approval_date | date | Date when the grant request was approvedoptional | 2024-01-05 |
fund_transfer_date | date | Date when the grant funds were transferred to the programoptional | 2024-01-10 |
| True or false 1 column | |||
bottleneck_flag | boolean | Indicates if the grant distribution experienced a bottleneck (e.g., excessive delay)optional | false |
Use it for
A government dashboard
The bottleneck_
flag rate, program_ impact_ score and a breakdown of program_ id. Excel, Power BI or Tableau. Why do 11 of 65 rows have bottleneck_
flag = true? A class exercise
Hand out the rows and one question. Everyone works from the same 65 rows.
- Grant requests65GR-20240101-00188.6falseGR-20240101-00363.7trueGR-20240101-00758.6true
A software demo
Believable grant requests with program_
id, program_ name and request_ date to fill a screen in front of a buyer.
This dataset65 rows16 columns
Yours1,000 rows16 columns
blueprint · grant-distribution-efficiency-tracker
Behind this dataset
Same schema. As many rows as you need.
These 65 rows came out of a blueprint — 16 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 grant request must have a unique identifier
- Approval timelines are recorded in business days
- Fund transfer amounts must match approved grant totals
- Program impact scores are calculated post-distribution
- Requests with missing approval dates are flagged for review
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
- grant-distribution-efficiency-tracker