Methodology

Interpreting the observed listing market responsibly.

The methodology combines multi-source listing data, time-based snapshots, local benchmarks and visible quality information. The goal is traceable conversation context—not a complete representation of the entire market.

Working definition

What “observed listing market” means.

The observed listing market comprises property listings visible through the available data sources at relevant points in time and suitable for the analysis in question.

It does not automatically include every published listing, off-market property or completed transaction. Asking prices are not achieved sale prices.

Analytical flow

From observation to interpretation.

A professional process with visible boundaries.

  1. 01

    Observe

    Residential listings from multiple available sources are brought together as observed listing data.

  2. 02

    Order over time

    Analyses distinguish the latest relevant listing snapshots from historical observations.

  3. 03

    Check

    Data quality, source distribution and signals for potential cross-source duplicates are considered.

  4. 04

    Benchmark

    Metrics are placed in geographical context at postal-code and city level.

  5. 05

    Qualify

    Results include transparent notes on coverage, recency and interpretive confidence.

Concepts & metrics

Clearly defined. Carefully interpreted.

Report metrics describe listing data and are presented with their geographical and temporal context.

Inventory measurement
Counts or describes active listings visible at the relevant observation point within the defined market scope.
Median asking price
The middle observed asking price: half of the included listings sit below it and half above it.
Median asking price per sqm
The median observed asking price per square metre for listings with suitable floor-area information.
Historical trends
Compare observed listing snapshots over time. They describe visible developments, not completed transactions.
Postal-code and city benchmarking
Places a narrow postal-code perspective beside a broader city-level benchmark.
Potential duplicate detection
Looks for signals that the same property appears across sources or variants. These are indicators, not guarantees.
Source distribution
Shows how included observations are distributed across available sources without implying complete market coverage.
Data confidence
Qualifies interpretive strength using available volume, recency, source mix and other quality characteristics.

Known limitations

Transparency is part of the result.

  • Sources can differ in coverage, recency and level of detail.
  • Listings may be changed, withdrawn or published more than once.
  • Not every listing contains complete or consistent property details.
  • Asking prices represent neither formal market value nor the eventual transaction price.
  • Small local samples require especially careful interpretation.

The analyses describe the listing market observed through the platform’s available data sources. They do not represent every property listing or transaction in Germany.

View Sample Report