The 2014-15 Rwanda Demographic and Health Survey (RDHS) is the fifth survey of its kind, following standard DHS surveys conducted in 1992, 2000, 2005, and 2010. In addition in Rwanda interim RDHS was conducted in 2007-08. A nationally representative sample of 12,800 households, was selected. All women age 15-49 who were usual residents of the selected households or who slept in the households the night before the survey were eligible for the survey. A survey of men was also conducted in a subsample consisting of every second household. All men age 15-59 who were usual residents or who slept in the subsampled households the night before the survey were eligible to be interviewed. Altogether, 13,497 women age 15-49 and 6,217 men age 15-59 were interviewed. As with prior surveys, the main objectives of the 2014-15 RDHS are to provide up-to-date information on fertility and childhood mortality levels; fertility preferences; awareness, approval, and use of family planning methods; maternal and child health; knowledge and attitudes toward HIV/AIDS and other sexually transmitted infections (STIs); and prevalence of HIV among the population.
The survey was designed to produce representative estimates for the main demographic and health indictors for the country as a whole, for the urban and rural areas, and for each of the five provinces. For some indicators, representative results may be available for each of the thirty districts.
From 2014 to 2015, with the aim of collecting data to monitor progress across Rwanda’s health programs and policies, the Government of Rwanda (GOR) conducted the Rwanda Demographic and Health Survey (RDHS) through the Ministry of Health (MOH) and the National Institute of Statistics of Rwanda (NISR) with the members of the national steering committee to the DHS and the technical assistance of ICF International.
To request dataset access, you must first be a registered user of the DHS website. You must then create a new research project request. The request must include a project title and a description of the analysis you propose to perform with the data.