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Nona South","kind":"neighborhood","parentId":"municipality:1253000"},"reportingMonth":"2026-11-01","cutoff":"2026-11-13T22:16:00.036387+00:00","publishedAt":"2026-11-14T15:20:51.090349+00:00","calculationVersion":"agents-listings-v7","quality":{"agents":149,"status":"passed","credits":261,"coListed":0,"uniqueHomes":285},"window":{"since":"2025-11-13","until":"2026-11-13"},"coverage":{"priced_homes":285,"price_coverage":1,"complete_market":false,"qualifying_records":285,"missing_price_homes":0,"attributable_records":261},"summary":{"agents_ranked":149,"eligible_agents":149,"missing_price_homes":0,"unique_homes_listed":285,"agent_credited_homes":261,"co_listed_properties":0,"agent_credited_volume":219716690,"unique_listing_volume":231285034,"metric_excluded_agents":0},"changes":null,"answer":"Based on Cribber’s trailing-12-month listing-activity data, Peter Luu ranks first in Lake Nona South, Orlando, FL with 31 credited listings.","context":"The 2026-11 edition covers 2025-11-13 through 2026-11-13 in Lake Nona South, Orlando, FL, with 149 eligible agents and teams and 285 unique eligible homes. The comparison includes qualifying current and past listing activity, with supporting records linked to the edition.","methodology":["Ranked by distinct homes credited over the trailing 12 months, including both endpoint UTC dates. Qualifying current and past sale listings contribute when their selected listing episode overlaps the reporting window. Recorded sales identify sold homes within that listing record; other off-market homes remain inactive.","A canonical, unit-aware property identity keeps repeat observations of the same home from becoming extra credits. The agents-listings-v7 reader selects the latest qualifying episode before geographic filters. Explicit distinct co-listing agents each receive full credit. Named teams can receive documented credit; team or brokerage membership alone does not create it. Ambiguous attribution is withheld.","Municipalities use official Census boundaries and coordinate assignments. Neighborhoods use retained high-confidence polygon assignments. A home may appear in its city and neighborhood comparisons, once within each geography.","The authoritative reader orders Homes Listed by credited homes, with asking volume and stable agent identity resolving display order. Equal listing counts share a competition rank, including across pages. Observed listing share is credited homes divided by unique eligible homes in the edition; co-listing credits can overlap.","Asking Volume adds the latest usable observed asking price associated with each selected episode. A volume rank requires 100% usable price coverage. These are asking prices rather than recorded sale proceeds. Homes with missing prices still count toward Homes Listed. Typical Asking Price describes the stored median and priced-home sample; historical price-based standings retain their original five-home and 90% coverage eligibility policy.","Each geography freezes the first successful verified capture for its UTC monthly edition. Read the actual reporting window, cutoff and publication date on the page. Daily ingestion prepares evidence separately. Published historical figures are preserved; a correction creates a new revision.","Each comparison covers the geography, reporting window and qualifying records stated in the edition. Supporting listings show the evidence behind the figures. 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