Holaniku Hale
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.
Holaniku Hale
Building Overview
Holaniku Hale in Mililani-Waipio, built 1976; no pets and no short-term rentals allowed according to MLS data.
About Holaniku Hale
Holaniku Hale is located in the Mililani-Waipio neighborhood and was built in 1976. According to available records, specific unit sizes and construction details are not provided in the MLS data.
Key policies listed in the MLS include no pets allowed and no short-term rentals permitted. The management company is listed as unknown in MLS records.
Other details such as parking, homeowner association fees, and on-site amenities are not specified in the available MLS information. Based on MLS data; buyers should verify all building details, rules, 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 listings repeatedly mention two assigned/covered parking stalls and a carport, which indicates assigned parking but does not explicitly state parking is deeded. Without explicit 'deeded' language, I conservatively mark parking_deeded as false with medium confidence.
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I searched the remarks for terms like 'parking fee', 'monthly parking', or 'parking rental' and found no mentions. Therefore the presence or amount of any parking fee is unknown.
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I looked for phrases such as 'parking waitlist' or 'join waitlist for parking' and found none. With no evidence of a waitlist, this is marked false with medium confidence.
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I searched for indications that short-term/vacation rentals are allowed (e.g., 'short-term rental allowed', 'vacation rental', '30-day minimum' wording) and found none. In absence of any STR references, STR allowance is marked false with medium confidence.
I looked for 'hotel rental pool', 'hotel rental program', or hotel-managed rental language and found nothing. Because STRs are not indicated as allowed, hotel-pool participation is marked false with medium confidence.
I searched for terms like 'mandatory hotel pool', 'required to participate', or 'must be in rental program' and found no references. As STRs are not indicated, mandatory pool participation is marked false with medium confidence.
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I looked for explicit leasehold language and 4-digit expiry years (e.g., 'lease expires 2050' or 'ground lease ends') but found none. Because there is no lease-related info, the lease expiry year is unknown.
I searched the remarks for phrases like 'VA approved', 'VA financing', or 'VA loans accepted' and found no references. With no evidence in the listings, VA financing approval is assumed not mentioned (false) with medium confidence.
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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.