Venezuelan human mobility. Characteristics of those who emigrated in 2019

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.