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CONTRACTOR WILL PROVIDE ALL EQUIPMENT, MATERIALS, LABOR, TRANSPORTATION, INCIDENTALS AND SUPERVISION TO PERFORM TOILET CLEANING AND RESTOCKING AND REFUSE PICKUP PER COVID-19 GUIDELINES FOR THE LONDON DISTRICT FOR THE PERIOD OF 01OCT2020 - 30SEP2021.
Total Committed
$74.8K
Product or Service Description
Waste Treatment/Storage Services
Total Potential Value
$74.8K
Contracting Agency
Effective Date
Oct. 1, 2020
Funding Department
DANIEL BOONE NATIONAL FOREST
Type
Firm fixed price
Solicitation Procedure
Simplified acquisition
Extent Competed
Competed under sap
Recent Contract Actions 
Contracts can have multiple “contract actions”: This is how agencies spend money for a specific purpose, adjust the amount committed or change the contract in a way that doesn’t affect the amount. That last scenario is usually indicated by a $0 action. If there is a contract action for a negative amount, it generally means the contract was adjusted or canceled.
| Vendor | Description | Signed | Reason for Change | Amount Committed |
|---|---|---|---|---|
| VAUGHN'S SEPTIC CLEANING | THE PURPOSE OF THIS MODIFICATION IS TO ADD $5000 IN FUNDING TO THIS AWARD FOR THE CONTINUATION OF SERVICES AS NEEDED FOR THE PANDEMIC TOILET CLEANING AND REFUSE COLLECTION REQUIREMENTS. NO OTHER CHANGES WILL OCCUR AS A RESULT OF THIS MODIFICATION AL | March 11, 2021 | Funding Only Action | $5,000 |
| VAUGHN'S SEPTIC CLEANING | CONTRACTOR WILL PROVIDE ALL EQUIPMENT, MATERIALS, LABOR, TRANSPORTATION, INCIDENTALS AND SUPERVISION TO PERFORM TOILET CLEANING AND RESTOCKING AND REFUSE PICKUP PER COVID-19 GUIDELINES FOR THE LONDON DISTRICT FOR THE PERIOD OF 01OCT2020 - 30SEP2021. | Aug. 24, 2020 | $69,750 |
About this data
This data comes from the Federal Procurement Data System, which includes all contracts worth $10,000 or more. We look at all contracts that are tagged with the procurement code for COVID-19 or otherwise started in 2020 and contain “COVID-19” in the description. Department of Defense contracting data is subject to a 90-day delay before it appears in the data.