ACS Data and Digital Test Decks
Past New Requirement Updated
- Agency
-
US Census Bureau
Department of Commerce
- Solicitation expected
- Estimated value
- $2,100,000 to $5,000,000
- Set-aside
- No set-aside
Forecast facts
- Anticipated award
- Through
- NAICS code
- 541330 Engineering Services
- Place of performance
- Suitland-Silver Hill, Maryland, United States
- Forecast number
- 41652
- Points of contact
Forecast details come from the Commerce Department's procurement forecast. Agencies' dates and values are estimates.
About this forecast
The US Census Bureau is seeking a contractor to provide paper materials and data sets for the American Community Survey (ACS) testing program, with a focus on creating test decks that simulate real handwriting to enhance data capture and analysis capabilities. The primary objective is to ensure that any proposed changes to ACS forms or questions do not negatively impact data quality or research outcomes. The estimated solicitation release date is November 15, 2023, with an anticipated contract award projected for February 15, 2024.
The forecasted contract has an estimated award value range between $2.1 million and $5 million, categorized under Engineering Services (NAICS 541330). The place of performance will be located in Suitland-Silver Hill, Maryland, with the primary point of contact being Harjot Kaur from the United States Census Bureau, who can be reached at harjot.kaur@census.gov. The procurement is set for competitive bidding, indicating multiple vendors may have the opportunity to compete for this contract.
Forecast text
The purpose of this contract is to provide paper materials and data sets to the American Community Survey (ACS) to achieve improved testing capabilities. The objective of the Government’s testing is to ensure that a change to an ACS form or question(s) does not impact data analysis and/or data products. To achieve improved testing capabilities of paper data capture, the Government requires test materials that simulate or consist of real handwriting in order to simulate real-life survey response conditions.
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