Datasets:

tensorust
/

clean-school-bus-awards-sample

---
license: other
license_name: tensorust-sample-license
license_link: https://tensorust.com/datasets/clean-school-bus-awards/
pretty_name: "Clean School Bus Award Tracker (free sample)"
language:
- en
tags:
- tensorust
- sample
- government-money-and-deadlines
- government-data
- finance
size_categories:
- n<1K
configs:
- config_name: sample
  data_files:
  - split: train
    path: sample.csv
- config_name: summary
  data_files:
  - split: train
    path: summary_by_recipient_state.csv
---

# Clean School Bus Award Tracker: free sample (Tensorust LLC)

1,091 EPA Clean School Bus rebates and grants: $2.66B obligated, $1.46B not yet paid out, so buses and chargers still to be bought.

**Headline:** Every EPA Clean School Bus award (CFDA 66.045) reported to USAspending: 1,091 rebates and grants to school districts, third-party contractors and tribal and charter fleets.

This repository is a **free teaser**, not the dataset. It holds 25 example rows and a summary table with no names in it. The full file has **1,091 rows** and is sold by Tensorust LLC: **[https://tensorust.com/datasets/clean-school-bus-awards/](https://tensorust.com/datasets/clean-school-bus-awards/)**.

## Files here

| file | what it is |
|---|---|
| `sample.csv` | 25 rows of the full file (the same sample shown on tensorust.com) |
| `summary_by_recipient_state.csv` | row counts and totals by recipient state across the full file, no entity names (groups with fewer than 3 rows are folded into "Other") |

## Summary by recipient state (largest groups)

| Recipient state | rows | Obligated (USD) |
|---|---|---|
| GA | 110 | 173,490,363 |
| OH | 85 | 401,406,484 |
| MA | 85 | 350,149,398 |
| IL | 82 | 142,023,938 |
| DE | 82 | 159,845,757 |
| CA | 74 | 218,313,384 |
| NY | 66 | 195,250,327 |
| MO | 43 | 46,191,379 |
| VA | 31 | 65,129,297 |
| MI | 30 | 56,106,172 |
| NJ | 26 | 47,343,943 |
| AZ | 26 | 67,774,398 |
| TOTAL | 1,091 | 2,661,011,637 |

Full table: `summary_by_recipient_state.csv`.

## What the full file has

- 1,091 rows
- Key fields: award_id, program, recipient_name, recipient_uei, recipient_parent_name, recipient_type, recipient_city, recipient_county, recipient_state, recipient_zip5
- Parquet and CSV, a README with sources, method and limits, and the build script
- Free 25-row sample (no personal contact data)

Coverage: All Clean School Bus rebate and grant awards USAspending holds (2022, 2023 and 2024 rounds as reported). USAspending data pulled Nov 6, 2026; built Nov 6, 2026.

### Columns in the full file

| column | meaning |
|---|---|
| `award_id` | Federal award ID (FAIN) |
| `program` | CFDA number and title |
| `recipient_name` | Recipient (district, contractor, tribe...) |
| `recipient_uei` | Recipient UEI |
| `recipient_parent_name` | Parent organization |
| `recipient_type` | Business type as reported |
| `recipient_city` | City |
| `recipient_county` | County |
| `recipient_state` | State |
| `recipient_zip5` | ZIP |
| `place_of_performance_state` | Place of performance state |
| `place_of_performance_county` | Place of performance county |
| `congressional_district` | Congressional district |
| `awarding_office` | EPA office |
| `base_action_date` | Award date |
| `latest_action_date` | Latest action date |
| `period_start` | Period of performance start |
| `period_end` | Period of performance end |
| `total_obligated` | Total obligated, USD |
| `total_outlayed` | Total outlayed, USD |
| `non_federal_funding` | Non-federal funding, USD |
| `iija_obligated` | Obligated from IIJA, USD |
| `iija_outlayed` | Outlayed from IIJA, USD |
| `description` | Award description (first 1,500 characters) |
| `usaspending_url` | USAspending award page |
| `ontology_org_id` | Tensorust Organization ID (UEI match) |
| `kind` | rebate or grant |
| `funding_round` | Funding round year |
| `buses_in_description` | Buses named in the award description (grants; blank if not stated) |
| `paid_out` | Outlayed to date, USD |
| `not_yet_paid` | Obligated minus paid, USD |
| `paid_share` | Paid / obligated |
| `status` | nothing paid yet / partly paid / fully paid / withdrawn or zero |

## Get the full file

| tier | price | includes |
|---|---|---|
| State file | $350 | Every award in one state with paid and unpaid amounts, CSV and Excel. |
| National tracker | $1,500 | All 1,091 awards nationwide with status and bus counts. |
| Tracker with quarterly updates | $3,900 a year | The national tracker re-run each quarter, listing awards that moved from unpaid to paid and new rounds. |

Email **mattbusel@tensorust.com** with the tier and a billing contact, and we will send a proper invoice (ACH or card). The file is delivered once the invoice is paid. Details and the live sample: [https://tensorust.com/datasets/clean-school-bus-awards/](https://tensorust.com/datasets/clean-school-bus-awards/). All datasets: https://tensorust.com/datasets/

## Method and limits

Load the USAspending download for CFDA 66.045, split rebates (direct payments) from grants, compute paid and unpaid from obligations and outlays, and parse bus counts from grant descriptions with a pattern match.

Not EPA's selection list: tentative selectees and waitlisted applicants that never received an award are not here. Rebate rows do not state bus counts. Unpaid money is a strong signal, not proof, that buses are undelivered.

## Sources

- USAspending.gov award download API, assistance prime award summaries for CFDA 66.045 (pulled Nov 6, 2026)
- EPA Clean School Bus Program awards page (program rules on rebate payment and grant drawdown)
- Tensorust organization graph (UEI match)

## License

The sample and summary here are free to view, analyze and cite with attribution to "Tensorust LLC, https://tensorust.com/datasets/clean-school-bus-awards/". The full dataset is licensed separately per tier. No resale or redistribution of Tensorust data without a written license.

Tensorust LLC, Tuckahoe NY. mattbusel@tensorust.com | https://tensorust.com

	---
	license: other
	license_name: tensorust-sample-license
	license_link: https://tensorust.com/datasets/clean-school-bus-awards/
	pretty_name: "Clean School Bus Award Tracker (free sample)"
	language:
	- en
	tags:
	- tensorust
	- sample
	- government-money-and-deadlines
	- government-data
	- finance
	size_categories:
	- n<1K
	configs:
	- config_name: sample
	data_files:
	- split: train
	path: sample.csv
	- config_name: summary
	data_files:
	- split: train
	path: summary_by_recipient_state.csv
	---

	# Clean School Bus Award Tracker: free sample (Tensorust LLC)

	1,091 EPA Clean School Bus rebates and grants: $2.66B obligated, $1.46B not yet paid out, so buses and chargers still to be bought.

	Headline: Every EPA Clean School Bus award (CFDA 66.045) reported to USAspending: 1,091 rebates and grants to school districts, third-party contractors and tribal and charter fleets.

	This repository is a free teaser, not the dataset. It holds 25 example rows and a summary table with no names in it. The full file has 1,091 rows and is sold by Tensorust LLC: [https://tensorust.com/datasets/clean-school-bus-awards/](https://tensorust.com/datasets/clean-school-bus-awards/).

	## Files here

	\| file \| what it is \|
	\|---\|---\|
	\| `sample.csv` \| 25 rows of the full file (the same sample shown on tensorust.com) \|
	\| `summary_by_recipient_state.csv` \| row counts and totals by recipient state across the full file, no entity names (groups with fewer than 3 rows are folded into "Other") \|

	## Summary by recipient state (largest groups)

	\| Recipient state \| rows \| Obligated (USD) \|
	\|---\|---\|---\|
	\| GA \| 110 \| 173,490,363 \|
	\| OH \| 85 \| 401,406,484 \|
	\| MA \| 85 \| 350,149,398 \|
	\| IL \| 82 \| 142,023,938 \|
	\| DE \| 82 \| 159,845,757 \|
	\| CA \| 74 \| 218,313,384 \|
	\| NY \| 66 \| 195,250,327 \|
	\| MO \| 43 \| 46,191,379 \|
	\| VA \| 31 \| 65,129,297 \|
	\| MI \| 30 \| 56,106,172 \|
	\| NJ \| 26 \| 47,343,943 \|
	\| AZ \| 26 \| 67,774,398 \|
	\| TOTAL \| 1,091 \| 2,661,011,637 \|

	Full table: `summary_by_recipient_state.csv`.

	## What the full file has

	- 1,091 rows
	- Key fields: award_id, program, recipient_name, recipient_uei, recipient_parent_name, recipient_type, recipient_city, recipient_county, recipient_state, recipient_zip5
	- Parquet and CSV, a README with sources, method and limits, and the build script
	- Free 25-row sample (no personal contact data)

	Coverage: All Clean School Bus rebate and grant awards USAspending holds (2022, 2023 and 2024 rounds as reported). USAspending data pulled Nov 6, 2026; built Nov 6, 2026.

	### Columns in the full file

	\| column \| meaning \|
	\|---\|---\|
	\| `award_id` \| Federal award ID (FAIN) \|
	\| `program` \| CFDA number and title \|
	\| `recipient_name` \| Recipient (district, contractor, tribe...) \|
	\| `recipient_uei` \| Recipient UEI \|
	\| `recipient_parent_name` \| Parent organization \|
	\| `recipient_type` \| Business type as reported \|
	\| `recipient_city` \| City \|
	\| `recipient_county` \| County \|
	\| `recipient_state` \| State \|
	\| `recipient_zip5` \| ZIP \|
	\| `place_of_performance_state` \| Place of performance state \|
	\| `place_of_performance_county` \| Place of performance county \|
	\| `congressional_district` \| Congressional district \|
	\| `awarding_office` \| EPA office \|
	\| `base_action_date` \| Award date \|
	\| `latest_action_date` \| Latest action date \|
	\| `period_start` \| Period of performance start \|
	\| `period_end` \| Period of performance end \|
	\| `total_obligated` \| Total obligated, USD \|
	\| `total_outlayed` \| Total outlayed, USD \|
	\| `non_federal_funding` \| Non-federal funding, USD \|
	\| `iija_obligated` \| Obligated from IIJA, USD \|
	\| `iija_outlayed` \| Outlayed from IIJA, USD \|
	\| `description` \| Award description (first 1,500 characters) \|
	\| `usaspending_url` \| USAspending award page \|
	\| `ontology_org_id` \| Tensorust Organization ID (UEI match) \|
	\| `kind` \| rebate or grant \|
	\| `funding_round` \| Funding round year \|
	\| `buses_in_description` \| Buses named in the award description (grants; blank if not stated) \|
	\| `paid_out` \| Outlayed to date, USD \|
	\| `not_yet_paid` \| Obligated minus paid, USD \|
	\| `paid_share` \| Paid / obligated \|
	\| `status` \| nothing paid yet / partly paid / fully paid / withdrawn or zero \|

	## Get the full file

	\| tier \| price \| includes \|
	\|---\|---\|---\|
	\| State file \| $350 \| Every award in one state with paid and unpaid amounts, CSV and Excel. \|
	\| National tracker \| $1,500 \| All 1,091 awards nationwide with status and bus counts. \|
	\| Tracker with quarterly updates \| $3,900 a year \| The national tracker re-run each quarter, listing awards that moved from unpaid to paid and new rounds. \|

	Email mattbusel@tensorust.com with the tier and a billing contact, and we will send a proper invoice (ACH or card). The file is delivered once the invoice is paid. Details and the live sample: [https://tensorust.com/datasets/clean-school-bus-awards/](https://tensorust.com/datasets/clean-school-bus-awards/). All datasets: https://tensorust.com/datasets/

	## Method and limits

	Load the USAspending download for CFDA 66.045, split rebates (direct payments) from grants, compute paid and unpaid from obligations and outlays, and parse bus counts from grant descriptions with a pattern match.

	Not EPA's selection list: tentative selectees and waitlisted applicants that never received an award are not here. Rebate rows do not state bus counts. Unpaid money is a strong signal, not proof, that buses are undelivered.

	## Sources

	- USAspending.gov award download API, assistance prime award summaries for CFDA 66.045 (pulled Nov 6, 2026)
	- EPA Clean School Bus Program awards page (program rules on rebate payment and grant drawdown)
	- Tensorust organization graph (UEI match)

	## License

	The sample and summary here are free to view, analyze and cite with attribution to "Tensorust LLC, https://tensorust.com/datasets/clean-school-bus-awards/". The full dataset is licensed separately per tier. No resale or redistribution of Tensorust data without a written license.

	Tensorust LLC, Tuckahoe NY. mattbusel@tensorust.com \| https://tensorust.com