For more updated information, please check our new website. Filter by year All years Search by Keyword. Urban Solutions. Overview For more than forty years, UN-Habitat has been working in human settlements throughout the world. Series Themes Collections Flagships. Improving water operator finances through better practices — experiences from East Africa. Submit your review. The key data sources that combine both migration and urbanization data are:.
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Censuses generally capture city-level data on the stock of international migrants every ten years or so; data collected are basic and aggregated. Censuses may undercount migrant numbers as they usually exclude data on irregular migrants and migrants living in peri-urban areas or the areas between the suburbs and the country side.
Censuses also capture city-level data on internal migration by recording changes of residence of individuals over a given time.
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Population registers also capture city-level data on internal migration and the stock of international migrants. Compared to censuses, the data captured through population registers are timelier, updated more frequently, and provide more demographic and socioeconomic information.
Like censuses, population registers usually do not capture data on irregular migrants. Surveys can capture city-level data on internal migration and international migration but provide more detailed data on migrants than censuses and population registers. Demographic and Health Surveys DHSs , for example, can provide data on migrant health outcomes and nutrition-related information at the city level.
DHSs can also provide data on rural-urban internal migration, and in a few cases, rural-urban international migration.
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Compared to censuses and population registers, surveys better capture undercounted migrants, such as irregular migrants, and facilitate identifying groups of migrants, such as women, children, and refugees. Administrative data sources , such as border statistics, residency permits, and naturalization records can capture city level data on internal and international migrants, but are not comprehensive, may not always be publicly available, do not capture irregular migrants, and may overcount migrants.
Based on country census data and UN urbanization data, the database includes urban-level data that measure immigration for more than metropolitan areas over 1 million inhabitants in more than 50 countries.
Data cover traditional immigrant gateway cities and emerging destinations. These key data sources on urbanization are important for migration research:. Data on urbanization and migration show that migration is driving —and will continue to drive — the growth and diversity of cities. However, certain limitations in migration data and data linking migration and urbanization prevent researchers and policy makers from fully understanding the impact of migration on cities and how moving to a city affects migrants.
Such data—as well as the political will to use data when available—are needed for effective urban planning, better socio-economic policies and services that facilitate migrant integration , policy coherence, and informed coordination across different levels of governments and other stakeholders.
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Further limitations on migration data are covered on the migration data sources page and other thematic pages. Key limitations specific to data linking migration and urbanization include :. Lack of standard definitions — What is considered urban or a city varies from country to country and sometimes it varies over time within countries, making comparative analysis difficult.
There is also no standard definition for who is considered a migrant. Some countries define "migrant" by country of birth; others by nationality. There is also no single global standard definition for internal migration, which in some countries drives urbanization more than international migration. Lack of foreign-born data at the urban level — Even if definitions were standardized, most countries only collect and aggregate foreign-born data at the national or state level and not at an urban level.
This is true especially of foreign-born urban populations in most low-income countries. Lack of data disaggregated by age and sex — If foreign-born data exist at the urban level, they are not always disaggregated by factors such as age, sex, or disability. Such data could provide local governments with information to estimate the needs and gaps in services for particular groups of migrants such as children, youth, older persons, and disabled migrants.
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The G20 countries are at the centre of not only global economic governance, but also global migration governance. They play a leading role as their policy responses to migration challenges and English Deutsch. Recent trends. Further reading. Jansen, K. Singer, Ay.
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