As international migration connects each country of the world with all the others, addressing knowledge gaps will require international consensus on definitions and methods of data collection. This Policy and Research Paper provides an overview assessment of the various criteria used by public administrations to define and produce data on international migration and identifies key issues that should be addressed to improve migration data for policy making and scientific research.
Launched by IOM’s Global Migration Data Analysis Centre (GMDAC), the GCM Data Bulletins aim to summarize in an accurate and accessible fashion the existing evidence on migration to support the discussions and any follow-up activities of a Global Compact for Safe, Orderly and Regular Migration.
Goal 10.7 of the Sustainable Development Goals (SDGs) calls for facilitating orderly, safe, and responsible migration and mobility of people, including through implementation of planned and well- managed migration policies. The objective of this document is to provide guidelines that may assist those aiming to produce the statistics needed to calculate SDG 10.7.1 indicator, “Recruitment cost borne by employee as a proportion of monthly income earned in country of destination.”&
The 2017 Atlas on Sustainable Development Goals (SDGs) is a visual guide to data and development. It features over 150 maps and data visualizations that show how societies are making progress towards the 17 goals.
Policy specialists, statisticians and data scientists working in government or with civil society organizations, as well as development practitioners and human rights advocates should find A Human Rights-Based Approach to Data (HRBAD) particularly timely.
The Global Migration Group (GMG) produced this publication to provide guidance to producers and users of international migration data. It includes detailed accounts of changes in the field of migration data, thorough explanations of key definitions and concepts, and strategies to bolster migration statistics (e.g., administrative data and 'big data'). Readers will find the notes on 'good practice' to be of particular practical value.
This publication outlines and explains a framework for measuring the implementation and efficiency of migration-related governance around the world. Financed by the IOM, the project itself was completed by the Economist Intelligence Unit between 2015 and 2016. Readers will find especially useful the numerous case studies that cover countries from all over the world, as well as descriptions of the various aspects of the framework and a chapter going over the history of its development.
