Resilience Index Measurement and Analysis, Democratic Republic of Congo, 2017
Democratic Republic of Congo
Other Household Survey [hh/oth]
The Rome-based United Nations agencies (RBA), which include FAO, WFP, and IFAD, with support from the Government of Canada, are implementing a programme to strengthen livelihood resilience in the context of protracted crises in the Democratic Republic of Congo (DRC), Niger and Somalia. The programme will contribute to building sustainable food security and resilience to shocks and stressors among men, women, boys and girls and households, with a particular focus on vulnerable women and children. Thus, the programme focuses on: i) increasing the availability of and access to a nutritious, diverse and stable food supply; ii) increasing the quantity and quality of productive assets at the household and community level; iii) nutrition; iv) strengthening effective governance of common natural resources; and v) enhancing gender equality, through gender mainstreaming in all interventions aimed at empowering women.
In DRC, the programme is implemented in Rutshuru territory in North Kivu Province. Approximately 12,500 households are supported, mainly through community-based organizations. Stratified sampling proportional to the population was adopted to collect enough observations to be statistically representative at the administrative level of the territories. The territories of Masisi and Rutshuru were selected as primary sampling units (PSUs). The final sample is approximately 1,724 households that provided statistically representative information for each of the two selected territories. The total sample size was 470 households for Masisi and 535 for Rutshuru. Details of the sample are provided in Annex I of the attached report.
Dates of Data Collection
Data Collection Mode
Computer Assisted Personal Interview [capi]
Data Collection Notes
Data were collected in July and August 2017 using both questionnaires and anthropometric equipment.
Please refer to the Questionnaire for the value labels of the variables.
Collected data were entered into Excel, coded, and analyzed with SPSS and ENA for SMART software.
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Disclaimer and copyrights
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses