Disaster databases are a primary tool for the analysis of disaster characteristics and trends at global or national scales, and they support disaster risk reduction and climate change adaptation. However, the quality, consistency and completeness of different disaster databases are highly variable. Such variation critically influences the outcome of any study.

Study on internal migration in India which analyses census data (using Cohort-based Migration Metric (CMM) and gravity model) and railway passenger traffic flow data  provided by the Ministry of Railways. The study is a chapter from the Economic Survey of India 2016-2017 and is endorsed by the Government of India.

Prepared by IOM’s Global Migration Data Analysis Centre (GMDAC), this report summarizes key global migration trends based on the latest statistics, showcasing 21 indicators across 17 migration topics.

The report is based on statistics from a variety of sources, which can be easily accessed through the Portal.

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.

IOM's Migration Health Research Series aims at sharing high-yield scientific papers and analytical commentaries aimed at advancing migration health policy and practice at national, regional and global levels. The first book of the series is a two-part volume profiling the development of the National Migration Health Policy and intervention framework in Sri Lanka, which to a large extent was driven by an evidence-informed, multisectoral approach.

The document offers a glossary on terms related to protection and information management to facilitate communication, understanding, and collaboration between colleagues within and across humanitarian organizations working in protection information management. Multiple definitions and examples are included for further understanding.