More property filters
These additional filters apply to active homes and their economics. Closed-sale trends retain the price, area, neighborhood, type and drawn-area filters. Feature claims need verification.
Adjust your coastal lifestyle and future-space priorities
Your starting balance: space 35%, coastal recreation 20%, dining 15%, parks 15%, HOA 15%. Change relative weights below. The score is an explainable preference screen; it is not learned from sale prices. Population ages and household composition are separate context layers.
Space uses bedrooms (45%), advertised living area (35%) and lot area (20%), with capped benefits. Mapped proximity is straight-line distance; paths, access rights, business openings and commute times need checking. HOA does not establish total ownership costs. Scores require at least 70% of selected component weight, and unknown values are shown. Proposed-home space is withheld.
Observed inventory
Click a home to highlight its pin and preview it alongside the map. Choose “View property details” for the full gallery, comps and database checks. Enable Census blocks and click a block for local statistics. Comparable properties may lie outside a drawn focus area. Pin locations and GIS overlays require parcel/site verification.
Asking prices against the valuation screen
The model uses observed closed sales from $3m to $15m. Condition, view quality, title, insurance availability and site engineering remain unverified. A difference from the model is a research lead.
Price spread and least-variable neighborhoods
Recalculates for your drawn area, neighborhood, block, home type and price band. Sale-price spread describes the homes traded; it does not establish future market volatility.
CV = sample standard deviation / mean × 100. A low error SD can coexist with consistent bias; read the mean error, signed bias and 90th-percentile error together. Rankings are descriptive and can change with the housing mix, period and sample.
Three-year closed-sale window
October 3, 2023–October 3, 2026. Primary sold-search observations in the selected price band. Medians require at least five trades per quarter; current-quarter coverage is partial.
Change after adjusting for the sales mix
Pooled $3m–$15m sales, structural/location controls, 2024 Q1 = 100. Shaded range: geographic bootstrap. This regional model does not establish a block-level index.
Trade counts and coverage
Valuation validation
Model improvement and local errors
Model consistency, standard deviation and large misses
Does neighborhood plus size improve valuation?
Neighborhood comparisons
Source subdivisions are preferred. Uncoded labels and association fallbacks are marked; they do not establish verified boundaries. Direct year-over-year price-per-square-foot changes require at least 10 sales in each period. They remain sensitive to the types and condition of homes sold.
Selected repeat transactions
Gross resale change includes renovations, redevelopment and transfer effects. It is not an appreciation forecast or a complete repeat-sales market index.
When does buying make financial sense?
Compare sale proceeds after debt and selling costs with the renter's invested capital and monthly cash savings. Change the assumptions to match an actual home, lease and financing quote.
Taxes, ownership costs, transaction costs and loss scenarios
Wealth at each modeled exit
Appreciation and holding-period sensitivity
Cells show buyer minus renter wealth. Positive values favor buying under the selected assumptions.
Economics across the focus area
Each row pairs an observed asking price with a raw median of matched, nonseasonal asking-rent candidates. Same source neighborhoods are preferred; association and adjacent-neighborhood fallbacks are shown. Rent amounts are not adjusted for size or condition. The rows use the financing, costs and holding period above. Lease and property quality remain unverified.
Residential rent evidence
Asking rents are not executed leases. Seasonal listings are excluded from automatic comp matching. Luxury furnishings, view quality and lease terms still need confirmation. Airbnb's dated monthly search is shown separately in Sources & coverage.
Physical exposure screening
Flood-zone, slope, liquefaction and fire overlays identify questions for inspection, geotechnical review and insurance quotes. They do not predict losses or establish that a parcel is safe.
Data-quality finding
Some scraper wildfire text contradicts its numerical severity score. Those scraped probability claims are excluded. The map uses official 2025 fire-zone geometry instead.
Risk associations in the sales sample
Regularized associations with structural, neighborhood and quarter controls; 80 geographic bootstrap samples. These are associations in a selected dataset, not causal discounts or insurance pricing. Geography, condition and mitigation can confound the results.
Verified regional court cases
Court case summaries, selected register entries and hearing calendars were read on October 3, 2026. A listed home has not been established as a subject parcel in either case. The paid complaints and orders have not been reviewed.
Insurance payouts and property-specific diligence
Obtain from the seller or policyholder
Owner-authorized CLUE/carrier loss runs, prior claim and payout records, proof of repairs, seller disclosures, permit finals, geotechnical reports, and bindable replacement-cost/flood/earthquake coverage quotes.
OpenFEMA's redacted claims support regional analysis. They do not reveal a prospective seller's property-level loss history or prove an insurance payment.
Link legal records by parcel and entity
Verify APN, deed/title chain, lis pendens and recorded liens. Search the exact seller/owner entity, builder and HOA, then review complaints, orders and settlement scope. For associations, obtain litigation disclosures, reserves, assessments and insurance documents.
No-match, not-searched, allegation, judgment and paid claim should be recorded as separate states.
What this dataset currently establishes
The 12-mile scraper radius was used only for collection. The final geography uses a Census municipal polygon projected to UTM 11N and buffered by exactly 3,218.688 meters. Newport Coast and Corona del Mar are inside the city where the official polygon includes them.
Active homes CSV · Expanded closed-sales CSV · Residential rent CSV · Research report
Additional data sources, in priority order
Jev comp reviews and their limits
Airbnb: dated furnished-stay context
Search dates: November 1–December 1, 2026, two adults, entire home, at least three bedrooms; 10-result cap. Coordinates are approximate. Displayed prices can differ from the scraper's calculated breakdown and are not verified checkout totals. They do not establish long-term lease rent, occupancy, income or permit rights.
Methods and reproducibility
Snapshots, run identifiers, screening code, model results and calculator checks are saved alongside this dashboard. HTML includes its data and chart/map libraries; internet is needed for street-map tiles and source links.
Your shortlist & preferences
Save favorites from any property. Tell us what matters, and correct it as you learn.
Favorites and tour choices are saved in this browser. Cloud memory is optional and separate from contact permissions.
Suggestions use advertised listing attributes and your explicit favorites. This content model has not established predictive accuracy for Newport buyers. Current filters always apply; the complete inventory stays available. Your notes do not authorize inquiries or bookings.
Plan a flexible tour
Dates and times are Pacific. Add homes from their property details, then edit visit times below.
Start at the first visit; travel to that visit is not included.
Visits start as proposed. Road routing uses OpenStreetMap / OSRM; live traffic and parking are not measured.
Your route & departure times
Add a property and build your route.
Agent inquiries & showing requests
Each draft is editable and includes listing-specific questions. Review the recipient and message before opening your email app. Sending and automatic booking require a connected sender and explicit authorization; neither is active here.