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

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.

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Publication Details

Journal
International Journal of Research and Innovation in Social Science
Published
2025-01-01
DOI
https://doi.org/10.47772/ijriss.2025.90300068
Primary Topic
Technology and Data Analysis
Type
article
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article

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

Muhammad Syakir Asrulsani, Zarina Zulkifli, Mohd Zaki Awang Chek, Haslifah Mohamad Hasim et al.
International Journal of Research and Innovation in Social Science
Technology and Data Analysis
article

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

Muhammad Syakir Asrulsani, Zarina Zulkifli, Mohd Zaki Awang Chek, Haslifah Mohamad Hasim, Isma Liana Ismail
article en

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.

International Journal of Research and Innovation in Social ScienceVol. IX(III)
Openalex Percentile: Top 93%
Technology and Data Analysis
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Trends Data Analytics in Socso’s Survivors’ Pension Benefit Claims — Muhammad Syakir Asrulsani, Zarina Zulkifli, et al. · International Journal of Research and Innovation in Social Science (2025) | TGRS Research Map | TGRS