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General

Policy Responses

Frequently asked Questions (FAQs)

What are the Portal's main objectives? The Portal aims to serve the migration community by making sense of migration...

The Local MGI

The Local Migration Governance Indicators: A look into the way local authorities govern migration Local authorities are...

Data Bulletin 4: Improving Data for safe, orderly and regular migration

This issue summarizes the main sources of migration statistics and explains some of the data demands countries are...

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Thematic Page

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. Remittanc...

Child and young migrants

Collecting and disaggregating migration data by age is essential for analysing the age dynamics of migrant populations. Child and young migrants are at risk of abuse, trafficking and exploitation, especi...
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Human trafficking

The crime of human trafficking is complex and dynamic, taking place in a wide variety of contexts and difficult to detect. One of the greatest challenges in developing targeted counter-trafficking responses and me...

International students

The numbers of internationally mobile students are increasing and destinations diversifying. “Internationally mobile students” typically are issued a student visa or permit to pursue a tertiary (or higher) degree ...

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Resource

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The Arab Gender Gap Report 2020 - Gender Equality and the Sustainable Development Goals

The Arab Gender Gap Report 2020 - Gender Equality and the Sustainable Development Goals report is the result of research and data compilation that was undertaken by the Statistics Division at the United Nations Ec...
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Leave No Migrant Behind: The 2030 Agenda and Data Disaggregation

The objective of the “Leave No Migrant Behind: The 2030 Agenda and Data Disaggregation” guide, published by IOM, is to provide user-centric guidance on disaggregation of SDG indicators by migratory status. It is a...
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Asia-Pacific Regional Secondary Data Review

Despite a growing volume of migration-related data in recent decades, the need for a reliable, nuanced and harmonized evidence base, reflecting both current and historical migration developments in Asia and the Pa...
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Migration, Environment, Disaster and Climate Change Data in the Eastern Caribbean: Saint Lucia Country Analysis

The reports entitled Migration, Environment, Disaster and Climate Change Data in the Eastern Caribbean are based on a regional study assessing the national and regional data systems on migration, environment, disa...

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Blog

Venezuela emigration

5 key data visualizations on COVID-19's impact on Venezuelan refugees and migrants

As of 5 February 2021, there were approximately 5.48 million refugees and migrants from the Bolivarian Republic of Venezuela in the world  (R4V, 2021) Most of them (around 80 %) reside in countries in Latin A...
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Addressing migrants´ vulnerability will be key to recovery from the COVID-19 pandemic

The COVID-19 pandemic has highlighted two important aspects of migration in West and North Africa and across the Mediterranean. The first is that many migrants from these regions face specific vulnerabilities duri...
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Free movement policies and border controls in West and North Africa and Europe

Most States in West and North Africa and in Europe are part of free movement areas. However, national borders within regions and at the external borders of regional organisations remain important. The ch...
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Reaching Italy by sea: changing profiles and vulnerabilities since 2016

This article is based on the authors' chapter “Vulnerability to exploitation and abuse along the Mediterranean migration routes to Italy”, in the edited volume "Migration in West and North Africa and across t...

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DID Profile

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“Project Jetson”: An experiment for predicting movements of displaced people in Somalia using machine learning

Jetson is a machine learning-based experiment that provides predictions of internal displacement in Somalia
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UNHCR’s “Winter Cell”: Forecasting migration flows with weather data

Providing weather analyses to predict migration flows in emergency environments worldwide
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Estimating global migration flows by combining traditional and innovative data sources using machine learning

By using machine learning, this research project combines multiple innovative data sources such as Google search and air traffic data with traditional migration statistics to estimate global migration flows
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COVID-19 Mobility Monitoring Project: Using mobile phones’ location data to measure effects of Italy’s lockdown on human mobility

COVID-19 Mobility Monitoring Project: Using mobile phones’ location data to measure effects of Italy’s lockdown on human mobility

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