Abstract

The present study attempts to study the age pattern mortality and prospects through Lee-Carter approach. The objectives of the study are to examine the trend of mortality decline and life expectancy. Contemporaneously, we have projected life expectancy up to 2025, projecting ASDR using Lee-Carter method. Life table aging rate (LAR) used to estimate the rate of mortality deceleration. Overtime, LAR increased and during recent decade it remained more or less unchanged. By age, LAR significant increased in the oldest of old. The slope is steepest in the oldest of old in the recent decade. The rates of mortality increased in oldest of old as the age group is more vulnerable to chronic disease and vulnerable to identifiable risk factors for virtually every disease, marked by senility. The analysis revealed that the level of mortality is not declining but rate of acceleration is declining and is further expected to decline. By the year 2025, the age specific death rates for the age group 5–9 and 10–14 will go below one per thousand.Life expectancy will attained as high as 73 and 79 years for male and female and is further expected to increase linearly. 71 percent of total female birth and 57 percent of total male birth will survive up to age 70+. Also the findings revealed that mortality rate is declining with constant rate up to age 70 and thereafter, the mortality rate accelerates and this holds true for both sexes.

Highlights

  • Kingsley Davis spoke of the ‘‘amazing decline’’ of mortality in underdeveloped countries [1]

  • The ax values are constant for the particular age group

  • A shift in the pattern of deceleration to older ages might have been caused by a delay of senescent processes, brought about by improvement in the health of the elderly during the recent decades [32]

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Summary

Introduction

Kingsley Davis spoke of the ‘‘amazing decline’’ of mortality in underdeveloped countries [1]. It is shown that mortality decline in India might have been due, speaking, to development rather than as a primary consequences of public health. The age pattern of mortality has drawn considerable attention in the field of applied demography and public health because mortality is one of the direct determinants of population change and because of the risk of mortality. The cause of death would be very different in various age segments and any health policy has to take this into consideration the age pattern of mortality. The future age pattern of mortality is borrowed from sets of model life tables (MLT).

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