SUPPORTING STATEMENT B
U.S. Department of Commerce
U.S. Census Bureau
Spatial, Address, and Imagery Data Program
OMB Control No. 0607-1008
B. Collections of Information Employing Statistical Methods
There are no statistical methods involved in the collection of this information.
The Census Bureau estimates the potential respondent universe for this program to be 1,500. This represents 500 respondents annually.
Describe the procedures for the collection of information including:
Statistical methodology for stratification and sample selection is not applicable.
Estimation procedure is not applicable.
Degree of accuracy needed for the purpose described in the justification is not applicable.
Unusual problems requiring specialized sampling procedures is not applicable.
Any use of periodic (less frequent than annual) data collection cycles to reduce burden is not applicable.
The Spatial, Address, and Imagery Data Program is a voluntary program with no requirement to participate. Each year, the SAID Program universe is determined by several evaluation factors, including address growth, address change, comparison with other Census Bureau statistics, past SAID or Geographic Support System (GSS) Partnership Program participation status, and other factors. The Census Bureau invites partners from tribal, state, county, and local governments and organizations as well as other federal agencies in these targeted areas to submit their spatial and address data files primarily using the Census Bureau’s Secure Web Incoming Module (SWIM), the delivery or hard drives, or through direct download. The Census Bureau attempts to contact each partner, by telephone or email, no less than three times before rescheduling the data for potential reacquisition during a later cycle of the program.
The Census Bureau does not conduct a test phase or test sampling for the SAID Program.
There
are no statistical aspects of the operation. For a contact within the
agency, please contact Matthew A. Zimolzak, Geography Division. He
can be reached by phone at
301-763-9419 or by email at
<[email protected]>.
Page
|
File Type | application/vnd.openxmlformats-officedocument.wordprocessingml.document |
Author | Mary Reuling Lenaiyasa (CENSUS/PCO FED) |
File Modified | 0000-00-00 |
File Created | 2021-11-17 |