B103 NOFO Attachment 2 - Slip-On Tank Grant Program Proposed Methods and Data Sources.pdf
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- Opportunity number
- D26AS00056
- Issued by
-
Department of the Interior
About this file
This document is a methods and data sources guide for the Slip-On Tanker Grant Dashboard, a publicly accessible tool developed by the Wildfire Risk to Communities project team to support the U.S. Department of Interior's Slip-On Tanker grant program. The dashboard is designed to help applicants determine eligibility and suitability for grant consideration based on population and wildfire risk criteria. Searchable locations include counties and Census Designated Places from U.S. Census Bureau TIGER/Line files. Applicants whose jurisdictions are not directly represented in the tool, such as fire districts, should search the closest relevant community or county. If an applicant's jurisdiction spans multiple locations, population data should be aggregated while wildfire risk data should be reported for the highest-scoring jurisdiction.
To be eligible for the grant program, entities must maintain an active registration in System for Award Management (SAM.gov) showing an "Entity Type" of "U.S. Local Government." Suitability requirements include meeting both population and wildfire risk criteria. The population criterion requires applicants to serve areas with populations of 50,000 or less, with data sourced from the 2020 Census. The wildfire risk criterion requires moderate or higher wildfire risk, defined as at or above the 40th percentile in the national Risk to Homes dataset from the Wildfire Risk to Communities project. Risk data calculations focus on areas within 1.5 kilometers of existing housing and identified burnable areas, excluding unburnable community core areas. Population and risk data meeting these criteria are displayed in bold within the dashboard and can be copied directly into grant applications. For additional information, applicants may contact Kelly Pohl at Headwaters Economics via kelly@headwaterseeconomics.org or visit https://wildfirerisk.org.
Attachment 2 - Slip-On Tank Grant Program Proposed Methods and Data Sources
View the file
Other files
| File | Type | Posted |
|---|---|---|
| B103 NOFO Attachment 6 - Applicant Checklist.xlsx | XLSX spreadsheet | |
| B103 NOFO Attachment 5 - Budget Narrative (sample).docx | DOCX document | |
| B103 NOFO Attachment 4 - Frequently Asked Questions.pdf | ||
| B103 NOFO Attachment 3 - Project Narrative.xlsx | XLSX spreadsheet | |
| B103 NOFO Attachment 1 - Minimum Specifications.pdf | ||
| B103 NOFO_OWF SOT Full Announcement_Rd 3_final.pdf |
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Text version
'-'� WILDFIRE RISK TO
C,COMMUNITIES
Slip-On Tank Grant Dashboard:
Methods & Data Sources December 2024
Purpose The Wildfire Risk to Communities project team has developed a nationally consistent data dashboard to support the U.S. Department oflnterior's Slip-On Tanker grant program. The Slip-On Tanker Dashboard is publicly accessible at https://wildfirerisk.org/sot-tool.
The Slip-On Tanker Dashboard can be used to help applicants determine potential suitability based on population and wildfire risk criteria. This document summarizes the methods and data sources for the Dashboard.
Searchable Geographic Units & Jurisdictions Locations available in the dashboard are counties and Census Designated Places identified by the U.S.
Census Bureau's TIGER/Line files. Census Designated Places are areas of concentrated population and include incorporated and unincorporated communities.
If an applicant is not a jurisdiction represented in the tool (for example, a fire district), the applicant should search the closest relevant community or county.
If an applicant's jurisdiction crosses multiple locations (for example, a two-county area), the applicant should report data from both locations. Population data should be aggregated. Wildfire risk data should be reported for the highest scoring jurisdiction.
Data Source:
U.S. Census Bureau. (2020). TIGER Cartographic Boundaries. Washington, DC. https://www.census.gov/programs surveys/geography/technical-documentation/complete-technical-documentation/tiger-geodatabase-file.html
Eligibility: System for Award Management (SAM) Registration To be eligible, an entity must have an active registration in SAM.gov that shows an "Entity Type" of "U.S. Local Government." The Dashboard provides a link to SAM.gov so that users can verify an active registration and Entity Type.
Suitability: Population & Wildfire Risk After searching a location, the opening window of the Dashboard will summarize whether a community is suitable based on both population and wildfire risk criteria, as described below. Being suitable only means the interested party meets the minimum selection criteria and can apply to be ranked against other interested parties.
Population Criteria To meet the population criteria, applicants must have a population of 50,000 or less in their area of protection or service area. The Dashboard will show population data from the 2020 Census. Communities
Slip-On Tanker Grant Dashboard Methods & Data Sources December 2024 I 1 that meet the population criteria will have a population displayed in bold; this can be copied directly into the grant application.
Data Source:
Source: U.S. Census Bureau. (2020). 2020 Census.
Wildfire Risk Criteria
To meet the wildfire risk criteria, applicants must have a moderate or higher wildfire risk, defined as 2::40th percentile in the national Risk to Homes dataset from the Wildfire Risk to Communities project.
Communities that meet the wildfire risk criteria will have their risk ranking displayed in bold; this can be copied directly into the grant application.
The wildfire risk data provided in the Dashboard are summarized for (a) only those portions of communities or counties that are within 1.5 kilometers (approximately 1 mile) of existing housing; and
(b) areas identified as burnable, excluding community core areas that are identified as unburnable.
Data Source:
Wildfire Risk to Communities. Scott JH, Gilbertson-Day JW, Moran C, Dillon GK, Short KC, & Vogler KC. (2020). Wildfrre Risk to Communities: Spatial datasets oflandscape-wide wildfrre risk components for the United States. Fort Collins, CO: Forest Service Research Data Archive. Updated 25 November 2020. https://doi.org/10.2737/RDS-2020-0016
Contact This dataset was compiled by the Wildfire Risk to Communities team. For more information, please visit https://wildfirerisk.org or contact Kelly Pohl with Headwaters Economics:
kelly@headwatterseconnomics.org.
Slip-On Tanker Grant Dashboard Methods & Data Sources December 2024 I 2
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