Migration Survey 2019
Gambia, 2019
Get MicrodataIdentification
GMB_2019_MIG_v01_M
Migration Survey 2019
| Name | Country code |
|---|---|
| Gambia | GMB |
Other Household Survey [hh/oth]
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.
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.
The team proposes to generate the necessary (and missing) evidence along three key dimensions:
- Determinants of international migration: (a) document socio-economics characteristics of potential migrants vis-à-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;
- 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;
- 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.
Sample survey data [ssd]
- Households
- Communities
Version
Version 01
2019
Scope
The scope of the survey includes:
- Household members and their characteristics;
- Household housing conditions;
- Household assets and spending;
- Household perceptions of poverty;
- Current migration;
- Transfers received from current migrants (internal and international) who have never been members of the household;
- Return migrant;
- Potential migrants;
- Personality, behavior and preferences.
Coverage
National coverage
Producers and sponsors
| Name |
|---|
| The World Bank |
Sampling
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.
Data collection
| Start | End |
|---|---|
| 2019 | 2019 |
Data quality checks were done occasionally during the survey in order to have real-time report on the quality of the work and to control thhe errors that might have been noticed. The editing team had a set of codes that were run to generate such reports and the survey teams are always communicated to address field-related issues for correction. This activity went throughout the survey however, each was called to the central office closely look at the errors that were noticed in the data they collected. The errors were reviewed together with the teams and each interviewer checked for errors associated with them from the respective households in their tablets.
It is refrsehing to note that most of the errors that were noticed from the data and relate to the interviewers couldn't be found in the data on the tablets. The general understanding was that there were issues with the server retrieval of the data and therefore, recommnedation was made to back-up all the data from each tablet by team and forward them to the technical team for onward collation.
Data collection during the migration survey: The teams were first deployed in the GBA just as the case of the listing exercise. The idea again is to make sure there is close proximity of the teams to the head office in order to ease coordination of the teams and timely address any issue that are encountered. `during the first phase of the data collection, there problems encountered with the CAPI application and this greatly affected the progress of the survey. However, the communication that ensued between the technical team and the fieldworkers ensure that all problems were attended to timely.
Data Access
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Example:
The World Bank. Gambia Migration Survey (MIG) 2019, Ref. GMB_2019_MIG_v01_M. Dataset downloaded from [URL] on [date].
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.
Metadata production
DDI_GMB_2019_MIG_v01_M_WB
| Name | Affiliation | Role |
|---|---|---|
| Poverty- GP | The World Bank | Metadata preparation |
2020-04-29
Metadata version
Version 01 (May 2020)