Literature DB >> 31339087

Age heaping among adults in Nigeria: evidence from the Nigeria Demographic and Health Surveys 2003-2013.

Olufunke Fayehun1, Anthony I Ajayi2,3, Chinwe Onuegbu4, Daniel Egerson1.   

Abstract

Age, as a variable, represents a critical basis for demographic classification; thus, its misrepresentations or misreporting alter the accuracy of demographic estimates. This paper examines the extent and pattern of age heaping in the age data for adults, collected in the Nigerian Demographic Health Survey (NDHS). The study used the NDHS data for 2003, 2008, and 2013 to compute a Whipple's and Meyers' blended index for each survey year, by gender, geopolitical zones, states and place of residence. The analysis shows that age heaping was higher than the acceptable levels in all three data sets. The Whipple's index puts the rate of age heaping in the 2003 dataset at 271.3, whilst the rates declined slightly in the 2008 and 2013 datasets to reach 204.2 and 202.5 respectively. Similarly, the Myers' blended index portrayed that age heaping in the 2003 data was highest at 47.0 while the subsequent years were lower at 38.60 and 38.66, respectively. Digits ending in 0 and 5 were mostly reported in all three surveys and higher rates of age heaping were observed among males, the uneducated and rural dwellers. Age heaping was prominent in all three surveys, thus affecting the data quality gathered at these surveys. Thus, future studies should assess the extent to which age misreporting could bias the estimate of fertility rate.

Entities:  

Keywords:  Age heaping; Myers’ index; Whipple’s index

Mesh:

Year:  2019        PMID: 31339087     DOI: 10.1017/S0021932019000348

Source DB:  PubMed          Journal:  J Biosoc Sci        ISSN: 0021-9320


  2 in total

1.  Understanding drivers of stunting reduction in Nigeria from 2003 to 2018: a regression analysis.

Authors:  Olutayo Adeyemi; Mariama Toure; Namukolo Covic; Mara van den Bold; Nicholas Nisbett; Derek Headey
Journal:  Food Secur       Date:  2022-03-26       Impact factor: 7.141

2.  Effectiveness of modular approach in ensuring data quality in large-scale surveys: Evidence from National Family Health Survey - 4 (2015-2016).

Authors:  Shri Kant Singh; Santosh Kumar Sharma; Md Juel Rana; Akash Porwal; Laxmi Kant Dwivedi
Journal:  SSM Popul Health       Date:  2022-10-04
  2 in total

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