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An Initial Methodology for Evaluating Social Equity Performance in Disaster Mitigation Grants
Some U.S. communities, such as low-income or minority communities, are disproportionately affected by the impact of disasters. Distribution of both mitigation funding and recovery funding has not been equitably applied to all communities, with disadvantaged communities receiving less of both funds....
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Published in: | Policy File 2023 |
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Main Authors: | , , , , , , , , , , , , , |
Format: | Report |
Language: | English |
Subjects: | |
Online Access: | Request full text |
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Summary: | Some U.S. communities, such as low-income or minority communities, are disproportionately affected by the impact of disasters. Distribution of both mitigation funding and recovery funding has not been equitably applied to all communities, with disadvantaged communities receiving less of both funds. Weather and climate disasters continued to escalate in 2021, resulting in billions of dollars in disaster costs and hundreds of fatalities in the United States. Predisaster mitigation is meant to lessen the damaging effects of future storms reducing the losses to both infrastructure and communities. The Building Resilient Infrastructure and Communities (BRIC) grant program aims to help communities undertake predisaster mitigation to reduce natural hazard risk. In response to an executive order to address inequitable funding systems that impede progress toward community resilience, an explicit guiding principle of BRIC is to promote social equity and help members of disadvantaged groups. To track progress toward equitable outcomes, BRIC is in the process of developing equity evaluation methods. In this report, the authors describe the development of an equity action-logic model and example metrics. The relationship of community characteristics to participation and success in BRIC's first competitive cycle (fiscal year 2020) is examined. Recommendations address (1) how the BRIC program could evolve to track social equity outcomes in a meaningful way; (2) the value of integrated data sets and analytic methods for understanding the characteristics of communities that are applying for BRIC funding and those that are successful; and (3) the barriers disadvantaged communities face when applying for BRIC funding. |
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