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The life expectancy for women born in 1946 is around 71.1 years according to historical data. However, it's important to note that this can vary based on factors such as lifestyle, healthcare access, and genetics.
The life expectancy of a person born in 2000 is around 76-78 years, depending on various factors such as gender, lifestyle, and region. This estimate is based on data from the World Health Organization and other health agencies.
Life expectancy at birth for male: 66,81 years Life expectancy at birth for female: 74,41 years Data for 2008.
Factors to consider when choosing a data processing mode
France. According to the last data, the life expectancy in France is 81,5 years (2011), in the UK 80,1 years (2010).
Yes, there are reasons to doubt the accuracy of life expectancy predictions provided on Wallen Chinsky and Wallace's list given the limitations of data accuracy, changing health trends, and individual variations in health outcomes. Life expectancy predictions are estimates based on historical data and assumptions, which may not account for unforeseen events or advancements in healthcare that could affect actual life expectancy.
There are a large number of different factors that affect the price of data recovery. These factors include, but are not limited to, the age of the source one is trying to recover the data from, and the number of manual labor hours it takes.
data from 2005: from birth for all races: female - 80.4 male - 75.2 http://www.cdc.gov/nchs/data/hus/hus07.pdf#027
According to global life expectancy data, approximately 80% of people will live to be 68 years old. However, this can vary based on factors such as country of residence, lifestyle choices, and access to healthcare.
She may live to 85.
Life expectancy in a country is typically calculated by taking the average age at which individuals in that country are expected to live. This calculation is based on statistical data and trends related to factors such as healthcare, nutrition, lifestyle, and social environment. Life expectancy is often used as an indicator of the overall health and well-being of a population.
Factors that affect data transfer include: 1. availability of data 2. medium of transfer 3. speed of reception/transfer 4. protocols used for negotiation, amongst others