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Methodology

This page describes how the figures on Luxury Price Drops are produced. Last updated October 9, 2026.

What we count as a price drop

We repeatedly scan luxury listings on public property portals and store each listing's asking price every time we see it. A listing is an active price drop when it appears in the latest scan with an asking price below its reference price (below). Listings that disappear from the portal drop out of the count at the next scan. Re-listed properties are tracked separately and are not included in the active-drop counts.

Reference price and cut size

Cut size = reference price − current asking price. Cut percentage = cut size ÷ reference price, rounded to one decimal place. "Total reductions" is the sum of cut sizes across a market's active drops, in the market's currency (AED, USD or EUR).

Filters

Refresh schedule (current as of October 2026)

Every page that shows live figures states the date of the feed it used. Pages also hydrate from the live feed in the browser, so on-page numbers can be newer than the date in the static HTML.

Coverage and latest figures

Latest row of each market's summary CSV (sale listings):

MarketFeed date (UTC)Listings scannedActive dropsAvg cutDeepest cutCSV
Dubai 2026-10-10 10,916 447 5.0% 27.8% dubai.csv
Abu Dhabi 2026-10-10 7,469 407 5.6% 50.7% abudhabi.csv
Ras Al Khaimah 2026-10-10 5,661 62 7.2% 42.7% rak.csv
New York 2026-10-09 16,776 4,498 7.4% 63.5% nyc.csv
Miami 2026-10-09 5,216 1,690 7.2% 63.9% miami.csv
Los Angeles 2026-10-09 9,089 3,211 8.0% 54.7% la.csv
Scottsdale 2026-10-09 1,858 788 6.5% 41.4% scottsdale.csv
Park City 2026-10-09 1,272 521 7.2% 69.1% parkcity.csv
Marbella 2026-10-04 2,500 273 7.6% 32.3% marbella.csv
Mallorca 2026-10-04 2,500 175 9.8% 39.4% mallorca.csv
Madrid 2026-10-04 1,445 187 6.6% 25.0% madrid.csv
Barcelona 2026-10-04 1,069 153 7.6% 25.4% barcelona.csv
Lisbon 2026-10-04 738 45 7.9% 21.6% lisbon.csv
Cascais 2026-10-04 1,179 105 8.0% 23.7% cascais.csv
Algarve 2026-10-04 235 3 15.2% 33.8% algarve.csv
Milan 2026-10-04 728 51 6.6% 18.8% milan.csv
Rome 2026-10-04 631 36 7.2% 18.4% rome.csv
Lake Como 2026-10-04 394 9 11.7% 32.2% como.csv
Tuscany 2026-10-04 402 19 8.9% 24.2% tuscany.csv

Downloads

Summary CSVs, one row per market per feed date, at stable URLs: all-markets.csv and one file per market at /data/price-drops/<market>.csv. Columns: date, market, currency, listings_scanned, active_drops, avg_cut_pct, deepest_cut_pct, total_reductions, feed_last_updated_utc. Rows accumulate from October 9, 2026. The files contain no listing-level data and no agent, broker or agency contact details. We don't publish contact details anywhere in our public data.

Limits

See also: all markets · market reports.

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Independent analytics platform — not a brokerage. Price drops are a natural part of any healthy market and often represent opportunity. All data is sourced from publicly available listings. Read more