Set Of Life Tables Research Articles

Inter-regional patterns of life span in Pakistan: a life table analysis

A set of life tables for seven geographic regions of Pakistan is presented. Data from Pakistan Demographic Survey – 2007 is used for the preparation of life tables. Life expectancy at birth for male is found 64.21 year in the province of Punjab, shows the highest one and 54 years for female found in the Baluchistan province which is least one. Further, urban areas of Pakistan have been seen on the forefront in terms of life expectancy in Pakistan. From the life table analysis a substantial sex differential could be discerned. The pattern of life expectancy in Baluchistan province is interesting to note, males are having higher life expectancy as compared to females.

Charles Babbage and the assurance of lives

In 1824 Charles Babbage was appointed actuary of the Protector Life Assurance Society of London, which led him to prepare a new set of life tables and undertake a study of the life insurance industry. He subsequently wrote his well-known book the Assurance of Lives (1826). This article describes the role of Charles Babbage in the development of life insurance and the reform of the life insurance industry, and the significance of the Assurance of Lives in his intellectual development.

Fertility and mortality in India during 1951-1971.

Statistical corrections found necessary to draw up a set of life tab les for the International Institute for Population Studies are discussed . The 1971 Census of India enumerated 547,949,809 persons, 13 million short of the estimate by the Census Actuary. Although the fluid migration situation may have complicated the figures, the real problem seems to be overestimation of the drop in death rates and underestimation of the adoption of family planning. Also, the Census Actuary borrowed infant mortality rates observed by the National Sample Survey without adjusting for underestimation of vital events. This results in underestimation of childhood mortality. The smoothed age distributions of 1961 seem different from the ones of 1951. There is a 2% difference in the proportion of children below 5 years of age, a figure that does not seem possible due to mortality decline alone in the 10-year period. Population projections using the method derived have been very close to enumerated populations and the vital rates are close to estimates of other authors and surveys. It is possible the Sample Re gistration Scheme did not make adjustments for events missed by the enumerator and, subsequently, by the supervisor.