Cluster Analysis of Occupational Health and Safety (OHS) Data: A Study Based on Occupational Groups
DOI:
https://doi.org/10.5281/zenodo.18274120Keywords:
Work Accidents And Diseases, Cluster Analysis, SGK Statistical Yearbook, Occupational Health And SafetyAbstract
The aim of this study is to analyze work accident and occupational disease data in Türkiye for the period 2020–2024 using the cluster analysis method. The dataset was obtained from the statistical yearbooks of the Social Security Institution (SGK) and includes 88 occupational groups. Before analysis, the data were standardized, and the rates of work accidents and occupational diseases were evaluated separately. Hierarchical cluster analysis was performed using Ward’s method, revealing that occupational groups were classified according to their similarity levels. As a result, the work accident data formed three clusters, consisting of 41 low, 28 medium, and 19 high-risk occupational groups. For occupational diseases, four clusters were obtained, and the total number of reported cases increased by 27% between 2020 and 2024. The findings indicate that risk intensity is particularly concentrated in sectors such as manufacturing, construction, and mining. This study provides a data-driven framework to support targeted and prioritized occupational health and safety policies.
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