Özet:

The aim of this study is to evaluate the statistical regions with hierarchical clustering analysis according to the data in 2019 health service demand, production and capacity dimensions. The data in these dimensions in the 2019 health statistics yearbook have different measurement rates were taken standardized Z values and analyzed with the SPSS for Windows 15.0 program. In hierarchical clustering analysis, agglomerative hierarchical clustering and Ward's method were chosen. In the study, the data of 12 statistical regions were evaluated separately and together in the 3 dimensions. Cluster groups were determined according to the agglomerative table and tree diagram of each evaluation. Statistical regions were grouped in 3 clusters in the stages of evaluation separately and together in terms of health service demand, production and capacity dimensions. Geographical proximity, socio-economic development level, population density parameters have a decisive role in the clustering of statistical regions.

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