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Table 1.

Summary of measures, descriptions, descriptive statistics, and variables applied in this research.

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Fig 1.

Frequency of respondents that self-reported negative impacts from extreme event types in the past three years.

Categories of “Slightly / moderately impacted” and “Very / extremely impacted” are combined for display purposes.

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Fig 2.

Density of average self-reported extreme weather impacts across event types (A). Highest level of extreme weather impact reported by respondents (B).

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Fig 3.

Average self-reported negative impacts from extreme weather events summarized by Census Division and organized per Census Region.

Source of base map: Wikimedia Commons [75].

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Fig 4.

Extreme weather impact clusters identified using k-means algorithm summarized by the means of respondent self-reported impacts per event type.

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Fig 5.

Binary sociodemographic measures (measure = 1 vs. else = 0) summarized by extreme weather impact cluster.

Each bar represents the percentage of respondents within each extreme weather impact cluster compared to the excluded category. There are statistically significant differences (chi-squared test, p<0.05) across impact clusters for Below Federal poverty level, Black, Hispanic, White, Bachelor’s degree, and Female, indicated by bolded text and borders.

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Fig 6.

Binary logistic multilevel regression models predicting likelihood of extreme weather impacts cluster membership with Census Division random effects.

Points represent odds ratios and lines 95% confidence intervals, with statistical significance levels indicated by p-value thresholds of *<0.05, **<0.01, and ***<0.005. Full model results, including standard errors, can be found in the Tables A, B in S1 Text.

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Fig 7.

Linear multilevel regression models predicting average self-reported extreme weather impacts across all six extreme weather event types.

Points represent linear coefficient estimates and lines 95% confidence intervals with statistical significance levels indicated by p-value thresholds of *<0.05, **<0.01, and ***<0.005. Full model results, including standard errors, can be found in the Table C in S1 Text.

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