Asking-price and asking-rent indices, listing supply, and time-on-market across
UAE (Bayut, Property Finder) and
Germany (ImmoScout24) — built from proprietary,
continuously-collected, point-in-time listing observations. Reads EMAAR.DU, DAMAC, ALDAR.AD,
G24.DE, VNA.DE / LEG. Aggregated, no personal data.
Listing-side asking prices, rents and inventory are a leading window on transaction prices and absorption — and on ImmoScout24 the listing activity itself is a near-direct read on Scout24's own core product. Coverage spans the two portals that dominate each market: Bayut and Property Finder in the UAE, and ImmoScout24 in Germany.
Emaar (EMAAR.DU), DAMAC and Aldar (ALDAR.AD) live and die on Dubai / Abu Dhabi off-plan and secondary pricing and absorption. Our €/sqft asking-price index, supply count and time-on-market by community track demand and inventory across their key masterplans.
ImmoScout24 is Scout24's core product. Listing supply, new-listing velocity and asking-price / rent movement are a near-direct read on the volume and vitality of the marketplace Scout24 monetizes — the platform's own KPI, observed externally.
German residential landlords Vonovia (VNA.DE) and LEG are driven by rents and asset values. The asking-rent index and asking-price €/sqm by city read the rental and valuation environment across their core metro portfolios.
All delivered as aggregated panels by city / community and week. Individual listings, agents and owners are never identifiable in the product — every metric is a market aggregate over a matched panel.
Median asking price per square metre (per sqft in the UAE), by city and by community, from the live listing panel. The granularity down to community / neighbourhood isolates masterplan-level and district-level moves that a national index buries.
The count of active listings on the panel by market and week — the inventory available for sale or rent. Supply expansion and contraction is a leading indicator of price direction, and on ImmoScout24 the raw listing count is a near-direct read on Scout24's marketplace volume.
The distribution of days-on-market for active and delisted inventory, plus the rate of new listings entering the panel per week. Together they measure absorption speed and pipeline — how fast the market is clearing and how fast fresh supply arrives.
Median asking rent per square metre by city and community from the rental panel, indexed to a trailing-year base. Reads the rental environment that drives residential-landlord revenue and the rent-vs-buy dynamic across each metro.
Matched community-level panels on a fixed cadence. Same listings, same geographies, observed week over week — so a move in the index is a move in the market, not a change in sampling.
Proprietary, continuously-collected, point-in-time data. Captured as it appeared on the observation date, aggregated to city / community level, and mapped to the entities it informs — never back-filled or revised.
Every listing observation is date-stamped. Historical indices reflect exactly what was on the market then — no restatement, no survivorship of delisted inventory.
Delivered as median / count aggregates per city, community and week. No individual listing rows, addresses, agents or owners in the product.
No owner, agent or contact details. The feed is a market statistic — asking-price, supply and rent aggregates — not a record of people or specific properties.
Each series carries the entities it reads (EMAAR.DU · DAMAC · ALDAR.AD · G24.DE · VNA.DE · LEG) so it drops straight into a KPI nowcast or factor model.
An illustrative slice of the weekly community panel — median asking price alongside supply count and new-listing velocity. Values shown are representative, not live. Request a sample for the full schema and a market of your choice.
# re_community_panel.csv — Berlin (DE) · ImmoScout24 · weekly · reads G24.DE + VNA.DE week ask_price_sqm ask_rent_idx supply_count new_listings med_days_on_mkt 2026-W28 € 5,120 118.9 9,840 612 58 2026-W29 € 5,105 119.6 10,120 648 60 2026-W30 € 5,095 120.4 10,415 671 62 2026-W31 € 5,088 121.1 10,690 689 63 # ask_price_sqm = median asking €/sqm across the matched community panel # ask_rent_idx base=100 (trailing-year city mean); supply rising + days-on-mkt rising = softening
Point-in-time, aggregated real-estate signals reading EMAAR.DU, DAMAC, ALDAR.AD, G24.DE, VNA.DE and LEG. Request a sample slice for the market you care about.
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