Descriptive Analytics of Frequency Occupational Fatalities among Socso’s Contributors

This study presents a comprehensive descriptive analysis of the frequency of claims for SOCSO’s Dependents’ Benefit spanning the years 1972 to 2023. The data set comprises 52 years of recorded claims, highlighting a substantial growth trend from 76 claims in 1972 to 383,101 claims in 2023. The study aims to analyze trends in claim frequencies, assess statistical distributions, and provide insights into the driving factors behind the increasing claim counts. A range of descriptive statistical measures, including the mean (125,347), standard deviation (131,239), variance, and distributional skewness, were applied to interpret claim fluctuations over time. The findings indicate a consistent upward trend in claim frequency, driven by socio-economic factors, legislative amendments, and workforce demographic shifts. Graphical representations, such as time-series plots and histograms, further support the observed trends and their implications. The study recommends periodic policy evaluations, enhancements in contribution structures, and data-driven financial planning to secure the long-term viability of the SOCSO Dependent Benefit scheme. Future research should explore advanced machine-learning models and actuarial simulations to improve predictive accuracy and policy responsiveness.

Authors

Publication Details

Journal
International Journal of Research and Innovation in Social Science
Published
2025-01-01
DOI
https://doi.org/10.47772/ijriss.2025.914mg0057
Primary Topic
Occupational Health and Safety Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Descriptive Analytics of Frequency Occupational Fatalities among Socso’s Contributors

M. A. A. A. Aziz, Emilda Hashim, Mehul A. Shah, Mohd Zaki Awang Chek et al.
International Journal of Research and Innovation in Social Science
Occupational Health and Safety Research
article

Descriptive Analytics of Frequency Occupational Fatalities among Socso’s Contributors

M. A. A. A. Aziz, Emilda Hashim, Mehul A. Shah, Mohd Zaki Awang Chek, Isma Liana Ismail
article en

Abstract

This study presents a comprehensive descriptive analysis of the frequency of claims for SOCSO’s Dependents’ Benefit spanning the years 1972 to 2023. The data set comprises 52 years of recorded claims, highlighting a substantial growth trend from 76 claims in 1972 to 383,101 claims in 2023. The study aims to analyze trends in claim frequencies, assess statistical distributions, and provide insights into the driving factors behind the increasing claim counts. A range of descriptive statistical measures, including the mean (125,347), standard deviation (131,239), variance, and distributional skewness, were applied to interpret claim fluctuations over time. The findings indicate a consistent upward trend in claim frequency, driven by socio-economic factors, legislative amendments, and workforce demographic shifts. Graphical representations, such as time-series plots and histograms, further support the observed trends and their implications. The study recommends periodic policy evaluations, enhancements in contribution structures, and data-driven financial planning to secure the long-term viability of the SOCSO Dependent Benefit scheme. Future research should explore advanced machine-learning models and actuarial simulations to improve predictive accuracy and policy responsiveness.

International Journal of Research and Innovation in Social ScienceVol. IX(XIV)
Openalex Percentile: Top 89%
Occupational Health and Safety Research
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