January 2025
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12 Reads
Theoretical and Natural Science
This study provides a comparative analysis of human mortality models for Denmark and the Netherlands from 1970 to 2008, using data from the Human Mortality Database (HMD). The analysis explores mortality trends across age groups and genders, highlighting key patterns and differences between the two countries. The Lee-Carter model is applied to analyze mortality dynamics, while the Gompertz model estimates age-specific mortality rates, both proving effective in capturing long-term trends. The study finds consistent differences between male and female mortality, with men experiencing higher mortality rates across all age groups in both countries. Mortality rates have declined significantly over time due to advancements in healthcare, socioeconomic improvements, and better living conditions. To project future mortality trends, the Random Walk with Drift model is used, offering insights into longevity and life expectancy for both populations. The results emphasize the need for ongoing public health improvements and policies to address the challenges posed by aging populations