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PRESENTATION ON AGE DATA. DATA RELEASE – INDICATORS. The present set of results pertain to data collected in the Census 2011 on age Age is one of the core topics in Population Census Census results have three basic tabulation levels, namely, rural/urban, sex and age.
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DATA RELEASE – INDICATORS • The present set of results pertain to data collected in the Census 2011 on age • Age is one of the core topics in Population Census • Census results have three basic tabulation levels, namely, rural/urban, sex and age. • Distribution of population by age is an essential prerequisite for dissemination of census results by age and for population projection
In demography the dependency ratio is an age-population ratio of those typically not in the labour force (the dependent part) and those typically in the labour force (the productive part). It is used to measure the pressure on productive population. • The dependent part usually includes those under the age of 15 and over the age of 59.The productive part makes up the population in between, ages 15 – 59. It is normally expressed as a percentage: • Dependency Ratio = (No. of persons in age group 0-14 years + No. of persons in age group 60 years or more) ÷ No. of persons in age group 15-59 years *1000
As the ratio increases there may be an increased burden on the productive part of the population to maintain the upbringing and pensions of the economically dependent. This results in direct impacts on financial expenditures on things like social security, as well as many indirect consequences. • The (total) dependency ratio can be decomposed into- Child (Young) dependency ratio and Aged (Old) dependency ratio
Child (Young) dependency ratio = (No. of persons in age group 0-14 years ÷ No. of persons in age group 15-59 years *1000 Aged (Old) dependency ratio = (No. of persons in age group 60and above ÷ No. of persons in age group 15-59 years *1000
Though conceptually, collection of information on age seems to be a simple item but the ages returned in censuses suffer from distortion. • The age data suffers from distortion owing to preferences for some ages and digits. • In country like India, the distortions are naturally greater because precise determination of age is not considered important in everyday affairs.
It not only affects the planning needs in education, manpower etc., but also affects the estimates of fertility and mortality. • The sex- age data are also inevitable for the projections of the future population, since some of the selected age groups have their own importance. • For example, estimation of economically dependent population, working population, population (60+), females in the age group 15-45 etc.
Measurement of age accuracy by means of an index • Whipple's index (or index of concentration) is a method to measure the tendency for individuals to inaccurately report their actual age or date of birth. • The index was invented by American demographer George Chandler Whipple (1866–1924) is applied to detect the extent to which age data show systematic heaping on certain ages as a result of digit preference or rounding. Typically the concern is for heaping on particular ages such as those ending in 0 and 5.
Index scores range between 100 (no preference for ages ending in 0 and 5) and 500 (all people reporting ages ending in 0 and 5). • It was 230 in Census 2001 • To improve quality of age data, a question on date of birth was added in Census 2011 • Whipple’s Index for India has reduced to 171 in Census 2011
Whipple’s IndexIndia Census 2001 and 2011 Madhya Pradesh Census 2001 and 2011
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