Germany retail property prices, excluding supra-regional
Germany retail property prices, excluding supra-regional stood at 98.5 in Q2 2026, according to Deutsche Bundesbank. It is one of the indicators in the Property market (quarterly) table (Value · Quarterly), with a complete series running from Q1 2013 to Q2 2026. The complete series with an interactive chart, free to download.
This indicator in the Property market (quarterly) table
| Indicator | Q2-2026 | Q1-2026 | Q4-2025 | Q3-2025 | Q2-2025 | Q1-2025 | Q4-2024 | Q3-2024 | Q2-2024 | Q1-2024 | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Commercial property price index, total, Germany excluding cities of supra-regional importance | 168.3 | 168.8 | 169.7 | 169.2 | 167.7 | 166.8 | 165.8 | 164.7 | 164 | 164 | |
| Commercial property price index, retail, Germany excluding cities of supra-regional importance | 98.5 | 99 | 99 | 99.3 | 99.2 | 99.5 | 99.5 | 98.4 | 98.2 | 97.8 | |
| Commercial property price index, multi family houses, Germany excluding cities of supra-regional importance | 191.4 | 190.2 | 190.4 | 189.6 | 188.7 | 186.4 | 186 | 184 | 182.9 | 182.9 |
Understanding germany retail property prices, excluding supra-regional
Valuations for high street shops, retail parks, and shopping centers situated beyond the most influential economic centers form the basis of this metric. It explicitly removes cities of supra-regional importance to focus entirely on consumer commerce properties in regional and mid-sized markets. Unlike its office and multi-family counterparts in the same geographic bracket, this series targets physical retail structures exclusively. It isolates the capital costs associated with owning retail assets that serve local and regional populations rather than international tourist or premium flagship destinations.
Formatted as an index with 2013 as the reference point, reading this dataset requires accounting for structural differences in commercial real estate. Retail properties in secondary locations often trade infrequently, making period-on-period changes highly susceptible to the specific mix of assets sold in any given quarter. A quarter heavily weighted towards prime regional shopping centers will present a vastly different profile from one dominated by local high street transactions. Consequently, year-on-year calculations offer a cleaner reading of underlying valuation adjustments. Analysts should also note that changes in zoning regulations or reclassifications of retail spaces into mixed-use developments can create statistical breaks in the dataset, requiring careful scrutiny of methodological notes.
Frequently asked questions
- Does this metric cover supermarkets and grocery stores?
- Standalone supermarkets, grocery stores, and local retail parks outside the primary metropolitan hubs are strictly captured in the underlying dataset.
- Are rental rates factored into this calculation?
- This specific series measures only the capital acquisition prices of the properties, entirely separating it from the leasing rates paid by retail tenants.
- How do sparse transactions affect the reliability of the reading?
- Low transaction volumes in secondary markets cause temporary volatility, making longer-term moving averages structurally more reliable than single-period prints.