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Migration data sources

The demands for migration data arising from the 2030 Agenda for Sustainable Development have prompted the international statistical community to review the use of traditional sources for migration data, such as population and housing censuses, household surveys and administrative records. There is also increased interest in looking for alternative sources to enhance the collection and analysis of migration data. The better use and understanding of existing data sources are essential to improve migration management and policy. Information about migration comes from a variety of data sources that have strengths and limitations and can be used to produce different migration statistics.
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Remittances

Remittances, usually understood as the money or goods that migrants send back to families and friends in origin countries, are often the most direct and well-known link between migration and development. Remittances exceed official development aid but are private funds. Global estimates of financial transfers by migrants include transactions beyond what are commonly assumed to be remittances, as the statistical definition used for the collection of data on remittances is broader (see IMF, 2009). Also, such estimates do not cover informal transfers. Remittances can also be of a social nature, such as the ideas, behaviour, identities, social capital and knowledge that migrants acquire during their residence in another part of the country or abroad, that can be transferred to communities of origin (Levitt, 1998: 927).
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International migration flows

Migration flows data capture the number of migrants entering and leaving (inflow and outflow) a country over the course of a specific period, such as one year (UN SD, 2017). Data on migration flows are essential for understanding global migration patterns and how different factors and policies in countries of origin and destination may be related to flows. However, in contrast to migration stocks data, estimates on migration inflows and outflows by country of origin and destination are not available at the global level. Currently, only 45 countries report migration flow data to the United Nations (UN DESA, 2015).  Migration flows data on migrants entering and leaving over the course of a given time period (usually a calendar year) are often confused with migration stock data which estimate all migrants residing in a country at a particular point in time (UN SD, 2017, emphasis added).   
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International migrant stocks

International migrant stocks are estimates of "the total number of international migrants present in a given country at a particular point in time" (UN SD, 2017: 9). United Nations (UN) data on these stocks are based mostly on the country’s population that is born abroad, and (where this information is not available) on holding a foreign citizenship (UN DESA, 2016: 4; UN SD, 2017).  Data on migrant stocks are often reported together with data on migrant flows. Although both terms account for the number of migrants, what they measure is different. Migrant flows data account for the number of migrants entering or leaving during a specified time period (usually one calendar year) (UN SD, 2017).

Blog

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Leaving no one behind — Disaggregating census data by migration status through IPUMS

The 2030 Sustainable Development Agenda calls for United Nations (UN) Member States to “leave no one behind” as they work toward meeting targets in the Sustainable Development Goals (SDGs). To ensure that migrants are not left behind, countries need data disaggregated by migratory status. Censuses are statistically robust sources for such data. However, census data are often not harmonized and census reports often do not disaggregate statistics by migrant status. The Integrated Public Use Microdata Series (IPUMS) International project harmonizes and integrates census data, including data on migrants. Kristen Jeffers, Senior Data Analyst, describes IPUMS and the potential it holds for monitoring the SDGs and assessing whether and to what degree migrants are left behind.  (This blog is based on a pilot study on disaggregating SDG indicators by migratory status.)
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10 of the coolest visualizations of migration data

The increasingly complex landscape of international migration data requires visual tools that explain migration issues and trends in an easy-to-understand way. Jasper Tjaden, Data and Survey Officer at IOM's Global Migration Data Analysis Centre, shares 10 "cool" visualizations or vizs on migration data that strike an impressive balance between art, communication and migration information.  
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TALKING MIGRATION DATA: Using big data to understand migration (part 1)

Ingmar Weber, Research Director at Qatar Computing Research Institute, shares his views on the use of big data to understand migration. This interview took place during the workshop "Big Data and alternative data sources on migration: from case studies to policy support", organized by the European Commission’s Knowledge Centre on Migration and Demography (KCMD) and IOM's Global Migration Data Analysis Centre (GMDAC) on 30 November 2017.
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How Blockchain can benefit migration programmes and migrants

Advances in technology often drive changes in how data and information are collected, used and managed. The advent of Blockchain technology, in particular, has impacted various fields; in the field of migration and asylum, the use of Blockchain is emerging.  Solon Ardittis, Managing Director of Eurasylum and co-editor of "Migration Policy Practice", explains Blockchain's merits, use and the potential benefits it can bring to different migration and asylum programmes.

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