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.
Sustainable Development Goals (SDGs)
The 2030 Agenda for Sustainable Development recognizes for the first time the contribution of migration to sustainable development. Migration is a cross-cutting issue, relevant to all of the Sustainable Development Goals (SDGs). 11 out of 17 goals contain targets and indicators that are relevant to migration or mobility. The Agenda's core principle to "leave no one behind", including migrants, requires data disaggregation by migratory status, opening up significant migration data needs but also the opportunity to improve migration data.
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.)