- For every price, note the source, period, geographical area, property group and reference area.
- Statistics Austria's average prices and price indices answer different questions.
- Apply an area benchmark to a property only after checking its suitability.
What kind of figure are you looking at?
Distinguish three starting points. An asking price is the published price expectation. A transaction price belongs to a specific agreed sale with its particular scope and conditions. A modelled or statistical value results from an analysis whose inputs and selection rules must be known. All three can be useful, but they perform different tasks.
A display in euros per square metre appears directly comparable. In fact, it may include a parking space, weight outdoor areas or use a different area definition. First ask which price was divided by which area. Without that denominator, the comparison is incomplete.
Five details belong alongside every benchmark
Create a brief data profile before incorporating figures into a decision. Take the details from the methodology and table headings, not just from a search result or map. If a characteristic is unknown, write unknown in the field and clarify whether the figure remains usable for your purpose.
| Field | Specific question to check |
|---|---|
| Price type | Listing, individual transaction or analysed modelled value? |
| Time | Which data year and survey period, and when was it published? |
| Geography | All of Vienna, a district, a statistical area or a specific immediate location? |
| Property group | Apartment, house or plot; which size and construction-period group? |
| Reference measure | Which area and which components included in the sale are covered? |
What official average prices describe
Statistics Austria publishes average property prices with an explicitly described calculation method. Transactions from the four preceding years are also included for a target year; a regression model accounts for differences such as areas, construction periods and location and adjusts previous years' prices. The figure is therefore not simply the average of only the most recently completed sales.
The 2025 user guidance restricts the dataset to transactions by private households and purely residential properties; these average prices do not cover entire residential complexes or rental apartment buildings. The property group is therefore a substantive limit on application. Multiplying a rental apartment building's entire lettable area by an apartment price does not amount to valuing it as an income-producing property.
Depending on the table, the guidance also distinguishes size and construction-period groups and, for apartments, the presence of certain outdoor areas. Read the instructions belonging to the particular publication. Tax-related uses of the tables are a separate application and do not automatically confirm an individual selling price.
Foundations: Statistik Austria [1] · Statistik Austria [2]
Why a district value cannot replace the immediate location
Location, building stock and property quality can vary greatly within a district. An average figure cannot resolve these differences for every house or side of a street. Showing a property on a finely detailed map does not change the geographical level of its price source. A district value remains a district value even when the map marker points to a single house.
Also check whether the composition has changed between two analyses. If a collection contains more small new-build apartments than before, its simple average may rise without an identical existing apartment becoming more expensive by the same proportion. A simple comparison of averages and a methodologically adjusted price trend must therefore be distinguished.
Relating a price index to an individual value correctly
Statistics Austria's house and apartment price index describes price trends for residential properties purchased by private households. Its data are based on purchase contracts lodged in the land register; the publication distinguishes, among other things, new and existing housing. An index measures change; it is not an amount in euros per square metre.
A general index change is therefore not a suitable adjustment factor for every historical property price without further checking. Check whether the geographical area, market segment, starting date and condition fit the intended adjustment. An individual valuation also requires consideration of use, rights, condition and specific comparability.
Deliberately limit your conclusion: this source helps me put the price level of this group during this period in context. Then record which property-specific differences remain unresolved. This wording supports a sound next question rather than deriving more precision from a table than its data provide.
Foundations: Statistik Austria [3]
Fictional benchmark, clear limitation
Only invented figures are used. The case makes no claim about the current price level of any Vienna district.
- A hypothetical table states 4,000 euros per m² for a precisely defined group. With 80 m² of the appropriate reference area, simple multiplication gives 320,000 euros.
- Initially, the product describes the application of the group benchmark. It does not include any additional evidenced investigation of the particular condition or tenancy agreement.
- A listing for the same apartment states 360,000 euros including a parking space. Without a traceable allocation to the parking space and comparison of price types, the 40,000-euro difference is not a proven valuation error.
- The owner therefore documents the two sources separately and obtains area evidence, use details and further suitable comparables.
The arithmetic is correct, but the suitability of its inputs determines what it tells you. In this case, 320,000 euros is not an established market value.
Your next assessment steps
Record what you have already clarified and which documents you still need.
Open the original source and methodology
Prevents use of abbreviated or incorrectly labelled price information.
Where can I obtain the supporting information?
Read the data table and the publisher's accompanying guidance.
Distinguish the data year from publication
Shows which period the figure actually relates to.
Where can I obtain the supporting information?
Document the table heading, explanatory notes and publication information.
Check the property group and area
Checks whether the benchmark covers your property in principle.
Where can I obtain the supporting information?
Place the data profile alongside the substantiated property details.
Identify unresolved property characteristics
Limits the conclusions drawn from the group value and prepares for individual checks.
Where can I obtain the supporting information?
Examine use, condition, rights and the immediate location separately.
Reading and checking are possible without signing in. Your saved checklists are private under My area. The selection does not confirm a professional assessment of your property.
Sources and date
The following sources support this main article. For your specific property, current documents and the applicable conditions matter.
- Statistik AustriaAverage property prices: data basis and methodology
- Statistik AustriaAverage property prices: application guidance, 2025 version
- Statistik AustriaHouse price index and OOH PI: description and documentation
Editorial date: 11/09/2026. Examples explain relationships and do not contain an individually prepared property valuation. Editorial work and sources.
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