Data Triangulation Strategies to Design a Representative Household Survey of Hosts and Rohingya Displaced in Cox’s Bazar, Bangladesh

20.500.12592/v7s172

Data Triangulation Strategies to Design a Representative Household Survey of Hosts and Rohingya Displaced in Cox’s Bazar, Bangladesh

11 May 2022

Obtaining representative information on hosts and displaced populations in a single survey is not straightforward. This paper demonstrates the value of combining traditional and nontraditional sampling frames, geospatial information, and listing exercises to design a representative survey of hosts and Rohingya displaced populations in Cox’s Bazar, Bangladesh. The paper applies innovative segmentation techniques using geospatial data to delimit enumeration areas in the absence of updated cartography. The paper also highlights the importance of listing exercises to inform stratification decisions and update population counts.
cartography gis maps displaced population international economics and trade :: economic geography science and technology development :: earth sciences & gis geospacial information

Authors

Endara, Joaquin, Genoni, Maria Eugenia, Khan, Afsana Iffat, Kosmidou-Bradley, Walker Turnbull, Munoz, Juan Eduardo, Palaniswamy, Nethra, Vishwanath, Tara

Collection(s)
Policy Research Working Papers
DOI
http://dx.doi.org/10.1596/1813-9450-10040
Googlescholar linkpresent
yes
Identifier externaldocumentum
33815268
Identifier internaldocumentum
33815268
Published in
United States of America
Region country
Bangladesh
Report
WPS10040
Rights
CC BY 3.0 IGO
Rights Holder
World Bank
Rights URI
http://creativecommons.org/licenses/by/3.0/igo
UNIT
EFI-MNA-POV-Poverty and Equity (EMNPV)
URI
http://hdl.handle.net/10986/37432
citation
“Endara, Joaquin; Genoni, Maria Eugenia; Khan, Afsana Iffat; Kosmidou-Bradley, Walker Turnbull; Munoz, Juan Eduardo; Palaniswamy, Nethra; Vishwanath, Tara. 2022. Data Triangulation Strategies to Design a Representative Household Survey of Hosts and Rohingya Displaced in Cox’s Bazar, Bangladesh . Washington, DC: World Bank. © World Bank. https://openknowledge.worldbank.org/handle/10986/37432 License: CC BY 3.0 IGO.”
date disclosure
2022-05-11

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