Background and methodology
Since August 2017, an estimated 741,000 Rohingya refugees have fled from Myanmar into Cox’s Bazar, Bangladesh, increasing the total number to around 914,998.1 The majority are reliant on overstretched humanitarian assistance, services, and resources including shelter, food, clean water, and sanitation. Information on Rohingya households, particularly in relation to protection and access to services, is in need of regular updating due to the variation in service provision across settlements, challenges presented by the monsoon and cyclone seasons, and the evolving social and contextual dynamics within each settlement. Therefore, REACH, in partnership with UNHCR, continued Round 6 of the Settlement and Protection Profiling (SPP) Assessment in order to support evidence based monitoring and analysis of cross-cutting protection issues in Rohingya refugee settlements.
The sixth round of SPP was conducted in 33 out of 34 refugee camps and settlements in Cox’s Bazar District from 28 October - 28 November, 2019. Kutupalong Registered Camp was not included due to access constraints. A total of 3,474 households were interviewed across the 33 camps. Findings from this assessment are generalisable with 95% confidence level and 2% margin of error at the overall response level. Surveys were conducted with households selected through simple random sampling of shelter footprints. Translators Without Borders supported with translating the form into Rohingya.
This factsheet presents findings disaggregated by the gender of the respondent, with data for female respondents in dark blue and data for male respondents in light blue. Survey respondents were adult household members most knowledgeable about household affairs and who consented to answer questions on behalf of the household and consisted of 1,714 female and 1,760 male respondents. Respondents were interviewed by enumerators of their same gender. Findings disaggregated by the gender of respondent are generalisable with a 3% margin of error, meaning that differences greater than 6% are likely to be significant. Questions asked only to a subset of households require an even larger difference in order to be significant.