Using Demographic Techniques to Detect Errors in Age Based Data


Authors : Adeyemo, S.O

Volume/Issue : Volume 8 - 2023, Issue 3 - March

Google Scholar : https://bit.ly/3TmGbDi

Scribd : https://bit.ly/3KuYGm7

DOI : https://doi.org/10.5281/zenodo.7797375

Abstract : Demographic data are usually classified by age and sex, as they both are very important variables. National plans for the provision of such need as housing, food, education, health, e.t.c depend on the relevant socio – demographic statistics classified by age and sex. The importance of accurate age-sex data in demographic analysis cannot be over emphasized as there are errors associated with age and sex. As age data tend to be more inaccurate than sex data, there is need for investigation and evaluation of the quality of the data collected on age. This paper is purposely prepared to evaluate the accuracy of age reporting using the demographic and health survey 2018 for Nigeria using demographic techniques. The Whipples’ and Meyer’s indices as well as the United Nations AgeSex accuracy index were determined. The result of the work has shown very accurate age data reporting for all except male at age ending with “0” in Nigeria. For the Myer’s index, the most preferred final digits are ‘5’ and ‘0’, while the most avoided final digit by both sexes is ‘1’. Furthermore, the calculated age-sex accuracy index is 57.61 that qualified the age data is deficient and requires massive adjustment before they could be meaningfully used.

Keywords : Digit preference, Whipple’s index, Myer’s index, Age, UN age-sex accuracy Index

Demographic data are usually classified by age and sex, as they both are very important variables. National plans for the provision of such need as housing, food, education, health, e.t.c depend on the relevant socio – demographic statistics classified by age and sex. The importance of accurate age-sex data in demographic analysis cannot be over emphasized as there are errors associated with age and sex. As age data tend to be more inaccurate than sex data, there is need for investigation and evaluation of the quality of the data collected on age. This paper is purposely prepared to evaluate the accuracy of age reporting using the demographic and health survey 2018 for Nigeria using demographic techniques. The Whipples’ and Meyer’s indices as well as the United Nations AgeSex accuracy index were determined. The result of the work has shown very accurate age data reporting for all except male at age ending with “0” in Nigeria. For the Myer’s index, the most preferred final digits are ‘5’ and ‘0’, while the most avoided final digit by both sexes is ‘1’. Furthermore, the calculated age-sex accuracy index is 57.61 that qualified the age data is deficient and requires massive adjustment before they could be meaningfully used.

Keywords : Digit preference, Whipple’s index, Myer’s index, Age, UN age-sex accuracy Index

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