Journal of Biomedical Analytics Vol. 2, No. 1 (2019), pp. 1–11 doi:10.30577/jba.2019.v2n1.34 RESEARCH ARTICLE Demographic and Socioeconomic Homogeneity among Districts and District Towns in Bangladesh Md. Belal Hossain 1,* and Mohammad Sorowar Hossain 1 1 Biomedical Research Foundation, Dhaka, Bangladesh * Corrresponding author: belal.hossain@brfbd.org; bhossain@isrt.ac.bd Received: December 10, 2018; revised: January 25, 2019; accepted: January 28, 2019. Abstract: Exploring the homogeneity (or heterogeneity) at sub-national level is crucial as it is associated with design, budget allocation and implementation of a research project. Since demographic and socioeconomic factors depict the first valuable insight of a community, it is imperative to explore the homogeneity within a country by considering these variables. Yet, the information on this aspect is scarce in Bangladesh. Therefore, the present study aimed to identify the district and district town specific homogeneity in Bangladesh. The data for this study were extracted from the most recent Population and Housing Census of the country, and the multivariate cluster analysis was employed to identify the natural groups or segments. We found that Bangladesh could be classified into three distinct clusters both at district and district town levels based on demographic and socioeconomic characteristics. The findings of this study would provide insights to the policymakers and researchers for designing and implementing community-based research initiatives, particularly in the area of public health and social science as well as market analysis research. The findings could also be helpful in the situation when the national representation of data is required with budget and time constraints. Keywords: Bangladesh, demographic factors, homogeneity, socioeconomic factors, multi- variate cluster analysis 1 Introduction For designing intervention studies, especially in the field of health and social science, it is essential to know the demographic and socioeconomic profile of the study population. In c  by the author(s) Licensed under Creative Commons Attribution 4.0 License CC 