Venezuelan human mobility. Characteristics of those who emigrated in 2019
Description
The data shows socio-demographic information, related to decisions and causes of emigration, country of destination, governance in host countries, accompanying persons on the journey and return to Venezuela. Respondents were Venezuelan emigrants who left their country of origin in 2019, considered by UNHCR as Venezuelans displaced abroad, persons who may be in need of international protection, requiring protection against forced returns and access to basic services, regardless of their age, education level and migration status. The design of the sampling frame considered both temporal and spatial dimensions. The temporal dimension was defined by the number of days of the week, from Monday to Sunday in a period of 4 weeks, from 8 April to 5 May 2019. A In turn, each day was distributed in 4 cycles of 3 hours each, totalling 12 hours per day for the application of the questionnaire. The spatial dimension is the aforementioned office of Migration Colombia, where Venezuelan nationals carry out the procedure for stamping their entry into Colombia. Therefore, these were documented migrants. Since the probability of selection of the subjects within the population was unknown, non-probabilistic sampling was used, using the consecutive sampling technique, which aims to include all accessible and available subjects in the spatial dimension. This procedure resulted in a sample size of 12,957 respondents. The criterion for the selection of respondents was to apply the instrument only to those Venezuelans who left their country. Venezuelans who entered Colombia to collect remittances, buy food, medicines or any other goods, as well as those who entered to visit relatives or go on holiday in Colombia or another country, were excluded, as these people stated that they were returning and would continue to live in Venezuela. The collection of primary data allowed for a quantitative, descriptive analysis. These data can also be used to build predictive statistical models.
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The criterion for the selection of respondents was to apply the instrument only to those Venezuelans who left their country. Venezuelans who entered Colombia to collect remittances, buy food, medicines or any other goods, as well as those who entered to visit relatives or go on holiday in Colombia or another country, were excluded, as these people stated that they were returning and would continue to live in Venezuela. The variables under study are socio-demographic, related to decisions and causes of emigration, country of destination, governance in host countries, those accompanying the journey and return to Venezuela. The instrument consisted of 42 questions in a structured survey. This survey was validated by experts in international migration. In addition, before starting the questionnaire, each respondent received the respective informed consent, by which he or she agreed to participate or not in the study. If they did not wish to participate, the consultation was automatically terminated. This study was developed from a quantitative approach. This 2019 study used non-probabilistic sampling, using the consecutive sampling technique, which included all subjects accessible and available in the spatial dimension (migration control registration office at the headquarters of Migration Colombia, located in La Parada, municipality of Villa del Rosario, Norte de Santander, Colombia). This procedure resulted in a sample size of 12957 subjects surveyed. To make the 2019 study a reality, several Venezuelan institutions joined forces, such as the Universidad Católica del Táchira (UCAT), the Universidad Católica Andrés Bello (UCAB), the Jesuit Refugee Service (SJR, Venezuela), the Centro Gumilla, the Observatorio de Investigaciones Sociales en Frontera (ODISEF) and, in the case of Colombia, the Universidad Simón Bolívar, Cúcuta, with the collaboration of Migración Colombia. A structured survey was administered to the target population (Venezuelan migrants of legal age) during the period 8 April to 5 May 2019. To use this data, Microsoft Excel in any of its versions is required. A PDF reader is required to view the instrument used.