The dataset contains survey data on characteristics of the residential environment, housing conditions, and selected aspects of residents’ quality of life. It was collected within the research project J7-4599 “Health-oriented behaviour as a driver of sustainable development of the built environment,” with the published data representing the empirical component of the completed project.
Data were collected using a structured questionnaire and are organised in tabular format (respondents × variables). The main dataset includes individual-level records and several groups of variables: (1) demographic and socio-economic characteristics (e.g., age, education, type of settlement, housing status), (2) characteristics of the dwelling (e.g., size, lighting, technical equipment, maintenance costs), (3) characteristics of the residential environment and accessibility of infrastructure (e.g., public transport, services, green areas, environmental quality), (4) perceived living and safety conditions, and (5) social aspects of the neighbourhood. The questionnaire is based on standardised and adapted measurement instruments and includes multi-item scales, mostly measured on ordinal scales (1–5 or 0–5), enabling quantitative analysis of respondents’ perceptions and evaluations. Thematic sections are organized as groups of variables, with the possibility of aggregation into composite indicators (e.g., mean scores of item sets) for analytical purposes, as defined in the accompanying data documentation.
The dataset is accompanied by supporting documentation (variable description/codebook and questionnaire), which enables understanding of the data structure, variable definitions, and coding schemes. Before publication, the data were anonymised and technically prepared for secondary use. In terms of content, the dataset enables analysis of relationships between characteristics of the built environment, infrastructure accessibility, housing conditions, and perceived quality of living. Due to its cross-sectional design, it is primarily suitable for descriptive and correlational analyses, as well as comparisons between respondent groups based on settlement type, housing conditions, or other structural characteristics.
The dataset provides a basis for further research in spatial planning, residential environment management, and quality of life studies, and supports interdisciplinary analyses linking spatial and social dimensions of development.
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