High Frequency Survey, HFS 2016 - Somalia

Abstract --------------------------- THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED Between February and March 2016, the World Bank, in collaboration with Somali statistical authorities conducted the first wave of the Somali High Frequency Survey to monitor welfare and perceptions of citizens in all accessible areas of 9 regions within Somalia's pre-war borders including Somaliland which self-declared independence in 1991. The survey interviewed 2,882 urban households, 822 rural and 413 households in Internally Displaced People (IDP) settlements. The sample was drawn randomly based on a multi-level clustered design. This dataset contains information on economic conditions, education, employment, access to services, security and perceptions. It also includes comprehensive information on assets and consumption, to allow estimation of poverty based on the Rapid Consumption methodology as detailed in Pape and Mistiaen (2014). The raw survey data provided by the Statistical Agency were cleaned and harmonized by the Economic Research Forum, in the context of a major project that started in 2009. During which extensive efforts have been exerted to acquire, clean, harmonize, preserve and disseminate micro data of existing household surveys in several Arab countries. Geographic coverage --------------------------- Covering a sample of urban, rural and IDP settlements areas in all the governorates. Analysis unit --------------------------- 1- Household/family. 2- Individual/person. Universe --------------------------- The survey covered a national sample of households and all individuals permanently residing in surveyed households. Kind of data --------------------------- Sample survey data [ssd] Sampling procedure --------------------------- THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED The sample employs a stratified two-staged clustered design with the Primary Sampling Unit (PSU) being the enumeration area. Within each enumeration area, 12 households were selected for interviews. Two different listing approaches were used. In 2 strata with more volatile security as well as for IDP camps, a multi-stage cluster design was employed (micro-listing). Each selected enumeration area was divided into multiple segments and each segment was further divided into blocks. Within each enumeration area, one segment was randomly selected and within the segment 12 blocks were chosen. In each block, all structures were listed before selecting randomly one structure. Within the selected structure, all households were listed and one household randomly selected for interview. In strata less volatile (14 strata), the complete enumeration area was listed before 12 households were randomly selected for interviews (full-listing). Sampling deviation --------------------------- EAs were replaced if security rendered field work unfeasible. Replacements were approved by the project manager. Replacement of households were approved by the supervisor after a total of three unsuccessful visits of the household. Mode of data collection --------------------------- Computer Assisted Personal Interview [capi] Research instrument --------------------------- Questionnaire Modules - Household Roster (110 questions) - Household Characteristics (38 questions) - Consumption - Food (30 questions per item) - Non-Food (14 questions per item) - Livestock (39 questions per item) - Durables (16 questions per item) - Perception (24 questions) - Food Security* (24 questions) - Income and Remittances* (14 questions) - Household Enterprise* (172 questions) - Shocks* (15 questions) Cleaning operations --------------------------- ----> Harmonized Data - The Statistical Package for Social Science (SPSS) is used to clean and harmonize the datasets. - The harmonization process starts with cleaning all raw data files received from the Statistical Agency. - Cleaned data files are then all merged to produce one data file on the individual level containing all variables subject to harmonization. - A country-specific program is generated for each dataset to generate/compute /recode/rename/format/label harmonized variables. - A post-harmonization cleaning process is then conducted on the data. - Harmonized data is saved on the household as well as the individual level, in SPSS and converted to STATA format. Response rate --------------------------- For the survey sample, the response rate was 95.9% (92.8% in urban areas and 98.5% in rural areas).