C Evidence Grade C Use with Hedging Aging

16.3%

16.3% — click through rate for Redfin users during Hurricane Helene and Hurricane Milton (2024)

2024  · Unknown  · rismedia.com

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Source: rismedia.com View source
Curated by Aaron Agius  · Founder, Louder Online
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Source verified Evidence graded
Value
16.3%
Unit
Percentage
Data Vintage
2024
Entity
Redfin users during Hurricane Helene and Hurricane Milton
Study Type
Unknown
Trend
Stable
C
Moderate quality evidence

Useful directional data with some methodological gaps. Treat as indicative rather than definitive — corroborate before citing in formal research.

53/100 confidence
rismedia.com Primary Tier A
https://www.rismedia.com/2025/12/10/redfin-users-climate-risk-user-interest-report/ ↗
Confidence: 1/100 Vintage: 2024
Source Article
Homeowners may be feeling the impact of climate disasters on their insurance premiums, but are buyers modifying their behavior and performing deep research into climate risks during their home searches? Not for very long, it appears, per data shared by Redfin. Redfin listings separate climate risks …
Also cited by
Original Research
Redfin · Original study ↗

Data collected from Redfin listings during hurricane season.

Study: Unknown
Suggested hedging: based on claims without stated methodology, with unverified sample sizes...
Plain Text
Redfin users during Hurricane Helene and Hurricane Milton: 16.3% click through rate. Source: rismedia.com (2024). Via Lighthouse Research Data — https://lighthousedata.io/data/florida-climate-risk-clickthrough-peak-2024
HTML Embed
<blockquote cite="https://lighthousedata.io/data/florida-climate-risk-clickthrough-peak-2024" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>16.3%</strong> — click through rate for Redfin users during Hurricane Helene and Hurricane Milton<br><small>Source: rismedia.com (2024) · <a href="https://lighthousedata.io/data/florida-climate-risk-clickthrough-peak-2024" target="_blank" rel="noopener">Lighthouse Data</a></small></blockquote>
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