{"doc_desc":{"title":"SEN_2019_MIG_v01_M","idno":"DDI_SEN_2019_MIG_v01_M_WB","producers":[{"name":"Poverty- GP","abbr":"EECPV","affiliation":"The World Bank","role":"Metadata preparation"}],"prod_date":"2020-04-30","version_statement":{"version":"Version 01 (May 2020)"}},"study_desc":{"title_statement":{"idno":"SEN_2019_MIG_v01_M","title":"Migration Survey 2019","alternate_title":"MIG 2019"},"authoring_entity":[{"name":"The World Bank","affiliation":""},{"name":"CRES- Consortium for Economic and Social Research","affiliation":""}],"production_statement":{"funding_agencies":[{"name":"World Bank","abbr":"","role":""},{"name":"State and Peacebuilding TF","abbr":"","role":""},{"name":"Department for International Development","abbr":"","role":""},{"name":"Swiss Development Cooperation","abbr":"","role":""}]},"distribution_statement":{"deposit_date":"2020-06-15"},"series_statement":{"series_name":"Other Household Survey [hh\/oth]","series_info":"The World Bank proposes a new study on international migration in West Africa, focusing on Senegal and the Gambia. For many years, the two countries have had high rates of out-migration to countries in the ECOWAS region, Gulf States and the European Union, with remittances contributing substantially to household welfare (14% and 22% for Senegal and The Gambia in 2016, respectively). The recent humanitarian and political crises linked to rising irregular migration to the European Union has put the issue of migration at the forefront of the political debate, in both sending and receiving countries. However, the reliance on anecdotal and journalistic evidence, rather than on solid data, has been fueling misconceptions and biased the debate about international migration, offering a fertile ground to populist, shortsighted solutions to a nuanced and complex issue."},"version_statement":{"version":"Version 01","version_date":"2019"},"study_info":{"abstract":"This activity is intended to address gaps in knowledge regarding the impacts of migration and remittances on development. Understanding the causes, benefits and risks of migration is important for the development of Sub-Saharan Africa, where reliable data on migration and remittances are scarce. This study is to undertake surveys of representative samples of an average of 2,000 households and 1,000 return migrants in Senegal and the Gambia in 2019, to provide information on migration, economic and social consequences on households sending countries and return migrants.\n\nThe team proposes to generate the necessary (and missing) evidence along three key dimensions:\n1. Determinants of international migration: (a) document socio-economics characteristics of potential migrants vis-\u00e0-vis the population, (b) understand decision-making and expectations among potential migrants, and (c) show additional push and pulls factors which shape the migration decision;\n2. Economic and social consequences on households in sending countries: (a) describe contribution of remittances to household welfare, and (b) assess vulnerabilities of migrants' families left behind related to missing household members;\n3. Return migrants, (a) show characteristics of return migrants and forced returnees, including skills acquired abroad, (b) document migration experience, and (c) highlight vulnerabilities such as potential traumas which challenges re-integration in the country of origin.","coll_dates":[{"start":"2019","end":"2019","cycle":""}],"nation":[{"name":"Senegal","abbreviation":"SEN"}],"geog_coverage":"National coverage","analysis_unit":"- Households\n- Communities","data_kind":"Sample survey data [ssd]","notes":"The scope of the survey includes:\n- Household members and their characteristics;\n- Household housing conditions;\n- Household assets and spending;\n- Household perceptions of poverty;\n- Current migration;\n- Transfers received from current migrants (internal and international) who have never been members of the household;\n- Return migrant;\n- Potential migrants;\n- Personality, behavior and preferences."},"method":{"data_collection":{"sampling_procedure":"The survey is structured simply to collect quantitative data from households. The primary sampling unit of the survey being the household required that intervies are conducted at the household level. The survey was structured in parts in order to facilitate the operation and give maximum quality output. This includes questionnaire design, lister recruitment and training, listing of households, enumerator recruitment and training, field pilot, field data collection and quality control and data cleaning.","coll_mode":["Face-to-face [f2f]"]}},"data_access":{"dataset_use":{"cit_req":"Use of the dataset must be acknowledged using a citation which would include:\n- the Identification of the Primary Investigator\n- the title of the survey (including country, acronym and year of implementation)\n- the survey reference number\n- the source and date of download\n\nExample:\n\nConsortium for Economic and Social Research, The World Bank. Senegal Migration Survey (MIG) 2019, Ref. SEN_2019_MIG_v01_M. Dataset downloaded from [URL] on [date].","disclaimer":"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."}}},"schematype":"survey","tags":[{"tag":"DOI"}]}