Trends Data Analytics in Socso’s Survivors’ Pension Benefit Claims

M. Z. A. Chek, I. L. Ismail, M. S. Asrulsani, H. Hasim and Z. H. Zulkifli
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M. Z. A. Chek: Actuarial Science Department, UiTM Perak Branch
I. L. Ismail: Department of Statistics and Decision Science, UiTM Perak Branch
M. S. Asrulsani: Actuarial Science Department, UiTM Perak Branch
H. Hasim: School of Mathematical & Computer Sciences Heriot-Watt University, UK
Z. H. Zulkifli: Actuarial Partners Consulting, Malaysia

International Journal of Research and Innovation in Social Science, 2025, vol. 9, issue 3, 863-870

Abstract: This study presents a comprehensive descriptive analysis of the frequency of claims for SOCSO’s Survivors’ Pension Benefit spanning the years 1985 to 2024. The dataset comprises 40 years of recorded claims, highlighting a substantial growth trend from a mere 432 claims in 1985 to an overwhelming 383,101 claims in 2024. Key statistical measures including the mean (142,874.29), median (117,495.5), standard deviation (116,533.78), skewness (0.6076), and kurtosis (-0.7967) are analyzed to interpret the distribution of claims. The analysis reveals a positively skewed distribution, indicating a rapid increase in claims over time, particularly after the year 2000. The high standard deviation suggests significant variability, reinforcing the substantial fluctuation in claim frequencies. The findings underscore critical socio-economic and demographic shifts, including increased life expectancy, policy amendments, and evolving labor market dynamics that impact survivors’ pension claims. These insights hold key implications for policymakers and social security administrators in ensuring the long-term financial sustainability of the SOCSO Survivors’ Pension scheme. Future research should consider actuarial adjustments and demographic modeling to project future trends and enhance fund management strategies.

Date: 2025
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