The assessment of vulnerable areas for childhood undernutrition in Bangladesh: An application of the Fay-Herriot model

This study used data from the 2011 Bangladesh Demographic and Health Survey and the 2011 Bangladesh Population and Housing Census. The Fay-Herriot model was applied to estimate the districts and sub-districts (upazilas) level indicators of undernutrition (stunting, wasting and underweight) for children under five years of age in Bangladesh. At the district level, Narsingdi (63.9%), Feni (19.8%) and Bandarban (62.5%) had the highest prevalence of stunting, wasting and underweight respectively. Among the 64 districts, 28 had stunting prevalence above 40%, wasting prevalence exceeded 15% in 21 districts and 16 districts had underweight prevalence exceeding 40%. Furthermore, all sub-districts within the Sylhet Division were identified as the most severely affected areas for all three indicators of undernutrition. Overall, the Sylhet Division emerged as one of the regions facing the greatest challenges in terms of the three undernutrition indicators for children under five.

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Publication Details

Journal
Statistical Journal of the IAOS
Published
2026-02-09
DOI
https://doi.org/10.1177/18747655251414943
Primary Topic
Child Nutrition and Water Access
Type
article
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article

The assessment of vulnerable areas for childhood undernutrition in Bangladesh: An application of the Fay-Herriot model

Jamal Uddin, Md. Fakrul Islam, Mahfuzer Rohman, Mossamet Kamrun Nesa et al.
Statistical Journal of the IAOS
Child Nutrition and Water Access
article

The assessment of vulnerable areas for childhood undernutrition in Bangladesh: An application of the Fay-Herriot model

Jamal Uddin, Md. Fakrul Islam, Mahfuzer Rohman, Mossamet Kamrun Nesa, Md Iqbal Hossain
article en

Abstract

This study used data from the 2011 Bangladesh Demographic and Health Survey and the 2011 Bangladesh Population and Housing Census. The Fay-Herriot model was applied to estimate the districts and sub-districts (upazilas) level indicators of undernutrition (stunting, wasting and underweight) for children under five years of age in Bangladesh. At the district level, Narsingdi (63.9%), Feni (19.8%) and Bandarban (62.5%) had the highest prevalence of stunting, wasting and underweight respectively. Among the 64 districts, 28 had stunting prevalence above 40%, wasting prevalence exceeded 15% in 21 districts and 16 districts had underweight prevalence exceeding 40%. Furthermore, all sub-districts within the Sylhet Division were identified as the most severely affected areas for all three indicators of undernutrition. Overall, the Sylhet Division emerged as one of the regions facing the greatest challenges in terms of the three undernutrition indicators for children under five.

Statistical Journal of the IAOSVol. 42(1)
Shahjalal University of Science and Technology (BD), Daffodil International University (BD), International Centre for Diarrhoeal Disease Research (BD)
Zero hunger
Openalex Percentile: Top 59%
Child Nutrition and Water Access
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