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Thematic Page
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 sto...
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Migrant recruitment costs
Most low-skilled labour migrants pay fees to obtain contracts and complete recruitment formalities. This is against international conventions and many countries’ national laws that require employers to pay all of ...
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Mixed migration
Mixed migration is a relatively new term – in wider usage in the last decade – which seeks to capture the intertwined and multifaceted drivers of movement of&...
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Migration drivers
Human migration is a global phenomenon. In 2020, about 281 million international migrants and hundreds of millions of internal migrants have changed their place of residence any time in the past (UNDESA, 2021). Bu...
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Resource
A Region on the Move 2021: East and Horn of Africa
A Region on the Move report series for the East and Horn of Africa has been the regional flagship publication since 2017. Over the years, the report series have illustrated the main humanitarian situations, with a...
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IOM Global Data Institute Thematic Brief #1: Evidence Summary on Climate Change and the Future of Human Mobility
In the past decade, an estimated 21.6 million people annually were internally displaced by climate-related hazards worldwide (IDMC, 2022). Climate change is increasing these hazards across many parts of the world....
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People on the Move in a Changing Climate – Linking Policy, Evidence and Action
An extensive array of international agreements and frameworks attest to the urgency of addressing climate change and human mobility together, as climate change, environmental degradation and disasters reshape cont...
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Accurate, timely, interoperable? Data management in the asylum procedure in Austria
The study focuses on the types of data that are collected on asylum seekers in Austria, from the moment when an application is lodged and until a first-instance decision is issued, and how the data are managed. Re...
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ODD
SDG 6: CLEAN WATER AND SANITATION
What do we know? Source: Migration for Sustainable Development, 2023 Migration-relevant SDG targets and indicators: All indicators below are classified by the IAEG-SDGs into three tiers ...
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SDG 7: AFFORDABLE AND CLEAN ENERGY
What do we know? Source: Migration for Sustainable Development (M4D NET), 2023 Migration-relevant SDG targets and indicators: All indicators are classified by the IAEG-SDGs into three tiers &nb...
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SDG 9: INDUSTRY, INNOVATION AND INFRASTRUCTURE
What do we know? Source: Migration for Sustainable Development (M4D NET), 2023 Migration-relevant SDG targets and indicators: To facilitate the implementation of the global indicator framework, all in...
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SDG 12: RESPONSIBLE CONSUMPTION AND PRODUCTION
What do we know? Migration-relevant SDG targets and indicators: All indicators below are classified by the IAEG-SDGs into three tiers ...
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Blog
What data to inform migration policies in Africa and Europe?
Public and policy attention to migration from Africa has been on the rise in Europe, particularly since 2015. This has been accompanied by greater efforts to improve migration data and evidence, with the frequentl...
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Towards the finish line: What data tells us about migrants’ needs and contributions to the SDGs
The United Nations Sustainable Development Goals (SDGs) have been a beacon of hope since their adoption in 2015. They help monitor progress towards a more equitable and sustainable world by 2030. However, as we re...
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Disaggregating SDG Data by Migration Status: The Swiss experience
The Swiss Federal Statistical Office (FSO) currently collects data disaggregated by migration status for eight SDG goals: 1, 2, 3, 4, 5, 8, 10 and 16.
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Disaggregating SDG Data by Migration Status: The South African experience
Country reporting for the SDGs in South Africa is coordinated by Statistics South Africa (Stats SA) through the South Africa National Statistics System (SANSS), in consultation with other government departments, t...
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DID Profile
Orange ’s “Data for Development”: Analysing mobile phone data to explore development opportunities at Côte d'Ivoire
Using geostatistical and mathematical models to estimate the level of malaria importation on Bioko Island
Estimating national population through satellite data and micro-census clusters in the Democratic Republic of the Congo
Analysing the profiles of seasonal human mobility from anonymized and aggregated mobile phone data. Application in food security.
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