Housing conditions: percentage of owners by countries of the European Union 2022 | Statista
Romania attracts attention as the country with the highest number of homeowners in the European Union, where homeowners make up an impressive94.8%from the total population. In nearby countries such as Slovakia, Croatia, and Hungary, high rates are also observed: there more than90%Citizens have their own housing. At the same time, Spain ranks only thirteenth among EU countries, with approximately75%of their population, which are property owners.
The percentage of homeowners in the countries of the European Union (EU-27)
- Romania - 94.8%
- Slovakia - 93%
- Croatia - 91.1%
- Hungary - 90.1%
- Lithuania - 88.6%
- Poland - 87.2%
- Bulgaria - 85%
- Latvia - 83.1%
- Malta - 82.6%
- Estonia - 82%
- Portugal - 77.8%
- Czech Republic - 77.1%
- Spain - 76%
- Slovenia - 75.4%
- Italy - 74.3%
- Greece - 72.8%
- Belgium - 72.5%
- Luxembourg - 72.4%
- Netherlands - 70.6%
- Ireland - 70.4%
- Cyprus - 69.6%
- Finland - 69.5%
- Sweden - 64.2%
- France - 63.4%
- Denmark - 59.6%
- Austria - 51.4%
- Germany - 46.7%
These data highlight significant differences in homeownership levels across countries. Romania, as a leader, has a noticeable advantage over other states.
An interesting fact: the metadata from this statistics is available for study, which opens up additional opportunities for analyzing the current situation in the housing market in Europe. For professionals engaged in statistical research, various pricing plans are available, including the option for instant access to a vast database at reasonable prices.
In addition, you have the option to subscribe tobasic statistics packagewhich is perfect for general information access, while a professional account offers the most comprehensive solutions, including the use of statistics for commercial purposes.
If you want to learn more about the key trends in the housing market, be sure to check out other research reports and statistical data that may be useful for your work or personal interests. With such extensive data, it is possible to make forecasts and develop strategies that can significantly influence consumer choices in real estate.
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