Two reports give the same well-known place name but different price levels. They may not actually contradict each other. One may mean the municipality, the other a district or a search area formed by postal codes. Before you look for a technical explanation for the price difference, therefore resolve the spatial question: which area and which cases actually belong to each analysis?
The name is only the starting point
Statistik Austria maintains different regional classifications, including municipalities, districts, localities, postal codes and other statistical units. [REGION] They are not identical just because a familiar name appears in several lists. Even a pretty map view can conceal different area definitions.
Our editorial recommendation: note the concrete unit for each report and, where available, its key. Also adopt the territorial status used. If only “Region Musterstadt” is named, the information that would make a comparison possible may be missing. Ask for the definition, rather than interpreting an official boundary into it.
Record spatial assignment separately from the report date
A new report can aggregate data on an earlier territorial division. Conversely, a current municipal list cannot retrospectively explain every older table. Therefore check territorial status, observation period and publication date as separate items.
Fictitious case: a market report uses three neighbouring postal codes as a marketing area. An official overview refers to the political municipality. Part of the postal area lies outside that municipality. The editorial team treats the two results initially as two different statements. It does not allege a supposed pricing error as long as the selection of included properties is not comparable.
Do not turn a partial overlap into equality
The fact that a large part of the addresses lie in both areas can be interesting for a rough orientation. However, it does not make the areas identical. Even a few other subareas can play a significant role in small analyses. Without matching individual data you should not output a self-constructed correction value as a cleaned result.
For preparation a small allocation list is often sufficient: first source, first area definition, second source, second definition, recognisable overlap and open question. A simple schematic sketch can help. It must be recognisable as a diagram and must not appear as a binding official boundary map. Do not simply copy third-party map graphics into your own article.
The metric can also have a different spatial reference
An average of offered flats is not automatically the same value as an average weighted by subareas. Check whether cases, areas or other weights were used. Averaging two area values without knowing their basis does not reliably produce the value of the common area.
This article therefore does not recalculate an Austrian market figure. It recommends leaving the caveat in the text when comparability is lacking. “The sources consider differently delimited areas” can be the correct explanation, rather than choosing the more attractive figure for a promotional claim.
The readers’ question decides the appropriate area
A person assessing a school or commute route may need a different spatial excerpt than an editorial team producing a district report. Determine the purpose first and then look for a suitable source. An available dataset should not become the leading metric simply because it is easier to download.
In the end the publication should name the area considered in understandable words and assign the source unambiguously. If the area remains unclear, the comparison statement derived from it is also open. This clear delimitation is more informative than a particularly precise number for an unexplained area.