MARKET TEMPERATURE

active vs. rented mix over time

MEDIAN PRICE BY TOWN & BEDROOMS

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Data is stored locally so history builds over time.

AVERAGE ASKING PRICE OVER TIME

Auto-scaled by scrape cadence

LISTING VOLUME BY TOWN

ESTIMATE FROM A LISTING URL

Paste an OutEast listing URL — we'll parse the details and estimate the market range.

or enter details manually

MANUAL ESTIMATE

KEY RENTAL FEATURES
POOL FEATURES
⚙ ADVANCED OPTIONS (More Amenities, Waterfront Details & Lot) Click to expand
LOCATION DETAILS
GROUNDS & PARKING
INTERIOR & LIFESTYLE
AGE & CONDITION

ESTIMATE BY PERIOD

PeriodLow (25th) Estimated RentHigh (75th) Comps

COMPARABLE LISTINGS

Address / TownPeriod BedsBathsDist to TownFeatures Price

MODEL COMPARISON

Period

Hamptons Rental Price Drivers & Correlations

Statistical correlation of property features, lot characteristics, luxury amenities, and geography to rental pricing across all historical and active listings.

TOP DRIVERS
Bathrooms
+22.3% / bath
Primary property capacity driver
Location
+37.1% (SoH)
South of Highway corridor vs North
Pool
+43.6% (for any pool)
Private pool vs no pool
Distance to Beach
-2.3% / mi
Price decay per mile away from ocean
💡 Appraisal Guidance: Why Percentage Adjustments Must Be Used

Percentage adjustments should always be used as the primary valuation baseline. In real estate hedonic pricing, property features scale multiplicatively with total asset value: a private pool adds ~+30% to +44% whether a home is a $40k cottage (+$16k) or a $250k estate (+$100k). A flat dollar adjustment severely distorts lower-tier properties and under-adjusts luxury estates. Use the % Value Adjustment below (derived from multivariable regression controlling for town, size, and lease duration) for comp triangulation, and treat dollar figures as mid-market illustrations.

WHAT MOVES THE NEEDLE: ALL TRACKED VARIABLES

Feature / Variable Type Correlation (r) Strength % Value Adjustment Data Points Market Pricing Impact / Premium
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TOWN RENTAL PRICE HIERARCHY

Town Premium vs Hamptons Median Rent Mean Rent Listings

MODEL FEATURE IMPORTANCE

Feature Gain Weight Relative Importance

Administration & Data Pipeline

Crawler status, database data coverage, model retraining, and pipeline diagnostics.

DATA PIPELINE & RETRAINING

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DATA COVERAGE

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Each scrape saves a snapshot. Run scrapes regularly to build price trends.