A municipality has many single-person households. From this it quickly follows the recommendation to offer only small flats there. The conclusion can go too far. A statistic about existing household units does not automatically describe the number of imminent moves nor the budget or housing preferences of these people. For a usable market observation it is worth reading the seemingly simple term household precisely first.
Household and person are different counting units
Statistik Austria uses a household-unit concept for the private households described: persons with their main residence in a housing unit are considered together. The results can come from different survey routes. [HAUSHALT] A single household value is therefore not a list of individual prospective tenants and is also not an instruction to classify people according to an average.
Our editorial recommendation: Whenever you adopt a figure, add what is being counted, the period to which it applies and the data source. Avoid a headline about “inhabitants” if the table actually counts households. Likewise, an indicator for all of Austria should not automatically be used to explain the situation of a single municipality.
An example of its own makes the boundary visible
Fictitiously assuming that in two small municipalities 1.000 people each live in 500 private households. Both therefore have an average of two persons per household. In the first municipality many two-person households might live. In the second there could be significantly more people living alone and at the same time larger households. The same mean does not exclude very different distributions.
This calculation does not contain current Austrian municipal values. It only shows why an average can be too coarse for your question. Whoever asks about flat sizes may need a comprehensible distribution and further information. Even these additional data do not automatically produce a reliable sales forecast.
Do not confuse the existing housing situation with a desire to move
A person living alone can remain in a large flat for many years. A larger household may look for a smaller flat for various reasons or may not plan to move at all. Household size alone does not imply a desire to rent or buy nor the number of desired bedrooms.
Therefore ask the professional question explicitly: Do you want to describe the existing housing structure, explore a need for advice or understand concrete enquiries? For the first question official stock data can be helpful. For the others you need additional suitable information. Anonymously aggregated reasons for seeking advice are, for example, different from a comprehensive survey of all search wishes.
Read comparison years and survey routes together
The official side explains different bases and different temporal references. [HAUSHALT] A table published later can relate to an earlier period. Therefore note publication date and reporting period separately. When comparing two datasets, check whether area, unit and method match.
When a small municipality is considered, the precision of a number must not be inferred solely from many decimal places. Read the notes on the data basis and possible limitations. This article does not prescribe a universal minimum case number. If an explanation necessary for the comparison is missing, ask for it rather than masking the gap with a self-chosen safety factor.
Turn the observation into a limited working question
A provider could, for example, check whether their information on room layout is understandable enough for different households. A municipality could collect supplementary housing counselling questions. Searchers can ask which publicly available information helps them with their own project. None of these steps requires the claim that a particular group of people will certainly buy soon.
A good concluding formulation names both sides: The table shows a particular household structure; it does not show individual ability to pay and no guaranteed number of future enquiries. That way data are used to form a better question, rather than classifying people into an apparently predictable housing behaviour.