
Avalon 3
Preliminary Information – Full Audit Pending
This buildings features were determined from publicly available data, including MLS listings. While we cross-referenced additional data sources, it still likely contains incomplete or inaccurate information, as it has not yet been personally verified.
Once a building has been fully audited, this page will be replaced with an in-depth analysis featuring verified details and photos of every key feature.
Until then, we provide a data‑driven overview that blends statistical analysis of the checkbox selections agents make in MLS with an AI‑powered read of their public remarks—yielding a clearer picture of the building than raw listings alone.
If this building is important to your search, you can help prioritize it for a full audit by requesting one below. To see what a complete report looks like, check out the example full report.
Avalon 3
Building Overview
Avalon 3 in Ewa, built 2001; pets and short-term rentals not allowed. Management company not listed.

About Avalon 3
Based on MLS data, Avalon 3 is located in the Ewa neighborhood and was built in 2001. Size and construction type are not specified in the available MLS records.
According to available records, pets are not allowed at Avalon 3 and short-term rentals are not permitted. The management company is not listed in the MLS data provided.
Additional details such as parking arrangements, maintenance fees, utilities, and other building amenities are not included in the supplied MLS data. Buyers should verify all building information, policies, and fees with the listing agent or management prior to making decisions.
Building Features & Data Confidence
All features from MLS data with AI-assisted confidence analysis. Click each category to expand and see details.
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Calculated from the lowest association fee observed across all non-penthouse unit listings for this building.
Calculated from the highest association fee observed across all non-penthouse unit listings for this building.
Calculated from association fees observed in penthouse unit listings for this building.
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The remarks explicitly mention 'Two assigned parking stalls', which indicates allocated parking but does not confirm deeded ownership. Without wording such as 'deeded parking' or 'parking included in deed', I conclude parking_deeded is not supported by the remarks.
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I searched for any reference to a parking fee (e.g., 'monthly parking fee', 'parking rental') and found none. Therefore the presence or amount of a parking fee cannot be determined from the remarks.
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I looked for language indicating a waitlist for parking but found no references. Given the absence of such mentions and that the listing states assigned stalls, there is no evidence of a waitlist.
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I scanned the remarks for explicit authorization of short-term rentals or commonly used terms indicating STR permission and found none. In the absence of any STR language, the listing does not indicate STR is allowed.
Because the remarks contain no indication that short-term rentals are allowed, there is no basis to conclude the unit participates in a hotel rental pool. No phrases such as 'hotel rental pool' or 'managed by [hotel]' were found.
With no evidence that STRs are allowed and no references to mandatory participation in a rental program, there is no support for a mandatory hotel rental pool requirement in the listing remarks.
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I looked for explicit lease expiry years or language indicating a leasehold (e.g., 'lease expires 2050', 'land lease to 2065', 'ground lease ends') but found nothing. Because there's no information, the lease expiry year is unknown.
I searched the public remarks for phrases indicating VA loan approval (e.g., 'VA approved', 'VA financing', 'VA loans accepted') and found no mentions. With no evidence in the remarks, the safest assumption is that VA financing is not indicated for this listing.
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Flood zone determined from official FEMA Digital Flood Insurance Rate Map (DFIRM) data using building coordinates, not from agent-reported listing data.
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Confidence levels are based on MLS checkbox data and AI analysis of listing remarks. High = strong evidence, Medium = some evidence, Low = limited or conflicting evidence. Buyers should always verify critical details independently.