The internal migration propensities and net migration patterns of ethnic groups in Britain

2008 ◽  
Vol 5 (2) ◽  
pp. 135-150 ◽  
Author(s):  
John J. C. Stillwell ◽  
Serena Hussain ◽  
Paul Norman
Keyword(s):  
Ethnic Groups ◽  
Internal Migration ◽  
Census Data ◽  
Flow Data ◽  
White Population ◽  
Micro Data ◽  
Specific Flow ◽  
Migration Patterns ◽  
Net Migration ◽  
Age Variations

Internal migration propensities of ethnic groups are examined using three types of census data. Special Migration Statistics show variation in aggregate propensities whereas commissioned age-specific flow data indicate age variations by ethnic group. Micro data from Samples of Anonymised Records confirm low Asian propensities and suggest convergence between 1991 and 2001. Inter-district net migration reveals familiar counterurbanisation trends for whites but more complex patterns for non-whites. Evidence suggests white net migration at this scale is greater in areas with higher non-white population shares which themselves experience higher non-white immigration rates.

Internal Migration Propensities and Patterns of London's Ethnic Groups

2010 ◽  
pp. 175-195 ◽  
Author(s):  
John Stillwell
Keyword(s):  
Community Development ◽  
Ethnic Group ◽  
Ethnic Groups ◽  
Internal Migration ◽  
Residential Location ◽  
The Other ◽  
White Population ◽  
Net Migration ◽  
Population Concentration ◽  
Development Data

The ethnic dimension of internal migration in Britain below the district scale has been understudied despite its importance for understanding local and community development. Data from the 2001 Census shows that migration propensities by ethnic group and age for London migrants differ considerably from national migration propensities, especially when migrants within London are distinguished from those arriving in or leaving the capital. Whilst disaggregating ward net migration on this basis reveals processes of deconcentration within London, dispersal from outer wards to the rest of the country and net in-migration to inner wards from outside London and from overseas, patterns of net movement vary by ethnicity and age, influenced by the geographical pattern of ethnic population residential location. Evidence from an analysis of net migration, population concentration and deprivation by quintile group suggests that migrants from most of the non-white ethnic groups are tending to move within London to areas containing lower proportions of those in the same ethnic group. White migrants, on the other hand, are moving towards areas with higher white population concentrations. Finally, there is a tendency for all ethnic groups to move away from more deprived wards towards less deprived areas within London, particularly Indians aged over 25.

Internal migration and socio-economic change in Laos

2014 ◽  
Vol 7 (1) ◽  
pp. 91-104 ◽  
Author(s):  
Kabmanivanh Phouxay ◽  
Gunnar Malmberg ◽  
Aina Tollefsen
Keyword(s):  
International Migration ◽  
Internal Migration ◽  
Census Data ◽  
Economic Change ◽  
Strong Impact ◽  
Urban Migration ◽  
Key Factors ◽  
Migration Patterns ◽  
Economic Changes ◽  
Modernization Process

This study analyzes how the migration pattern in Laos is influenced by the regionally differentiated modernization process, socioeconomic change, international migration and resettlement, by using census data from 1995 and 2005. Though Laos has experienced a rather dramatic socio-economic change during this period the inter-district and inter-province migration rate has decreased. But the empirical analyses show an increasing rural-urban migration and indicate a strong impact on migration from socio-economic changes. But internal migration patterns are also influenced by international migration patterns and resettlement of rural populations. Although socio-economic changes are major determinants to migration, also regional policies and opportunities for international migration are key factors influencing migration in developing countries.

Internal Migration Patterns by Age and Sex at the Start of the 21st Century

2010 ◽  
pp. 153-174 ◽  
Author(s):  
Adam Dennett ◽  
John Stillwell
Keyword(s):  
Internal Migration ◽  
Policy Implications ◽  
Migration Patterns ◽  
Net Migration ◽  
Classification Framework ◽  
Large Numbers ◽  
Males And Females ◽  
Using Data ◽  
The Stability ◽  
Area Classification

Moving home is an event that most people experience at some stage in their lives. Previous research has shown that while men and women tend to have similar rates of migration overall, significant variations occur according to age. In this chapter, the authors examine these demographic influences on migration for internal migration in Britain using data from the 2001 Census Special Migration Statistics at district scale. The analysis of migrations rates reveals some subtle differences between males and females by age but spatial patterns of net migration for both sexes emphasise that losses for London and provincial urban centres and gains in rural Britain vary significantly by age. The chapter uses a national area classification framework to summarise the patterns of net migration taking place in the year before the 2001 Census at district scale and the latter part of the chapter explores indices of population stability – turnover and churn – that provide alternative insights into migration patterns across the country, particularly when disaggregated by age. These measures of migration are important because it is apparent that some areas that exhibit relatively low net rates of movement, actually have large numbers of migrants moving within their boundaries as well as inflows from and outflows to other areas – movements which clearly impact on the stability of their populations and have policy implications.

scholarly journals How Does Administrative Data Compare with Census Data for the Measurement of Internal Migration? The Case of Northern Ireland, 2001–2011

2021 ◽  
Author(s):  
Brian Foley ◽  
Tony Champion ◽  
Ian Shuttleworth
Keyword(s):  
Administrative Data ◽  
Internal Migration ◽  
Census Data ◽  
Local Population ◽  
Population Data ◽  
Population Estimates ◽  
Demographic Groups ◽  
Small Areas ◽  
Intercensal Period ◽  
Statistical Agencies

AbstractThe paper compares and contrasts internal migration measured by healthcard-based administrative data with census figures. This is useful because the collection of population data, its processing, and its dissemination by statistical agencies is becoming more reliant on administrative data. Statistical agencies already use healthcard data to make migration estimates and are increasingly confident about local population estimates from administrative sources. This analysis goes further than this work as it assesses how far healthcard data can produce reliable data products of the kind to which academics are accustomed. It does this by examining migration events versus transitions over a full intercensal period; population flows into and out of small areas; and the extent to which it produces microdata on migration equivalent to that in the census. It is shown that for most demographic groups and places healthcard data is an adequate substitute for census-based migration counts, the exceptions being for student households and younger people. However, census-like information is still needed to provide covariates for analysis and this will still be required whatever the future of the traditional census.

scholarly journals Brazil, internal migration

2018 ◽  
Author(s):  
Ernesto F. L. Amaral
Keyword(s):  
Internal Migration ◽  
The State ◽  
Fertility Rates ◽  
Rapid Urbanization ◽  
Migration Patterns ◽  
The Past ◽  
Job Opportunities ◽  
Relative Decline ◽  
Demographic Growth ◽  
Concentration Of Industries

Internal migration has been decisive in the process of rapid urbanization that has occurred throughout Brazil in recent decades. The usual explanation for this movement references poverty and the lack of job opportunities in the northeast combined with the concentration of industries in the southeast, mainly in the state of São Paulo. A process of spatial deconcentration has occurred since the 1970s. Internal migration is no longer predominantly a rural-to-urban phenomenon. Demographic growth has decreased in the Brazilian regions, due to diminishing fertility rates and changes in migration patterns. The new migration patterns are characterized by a relative decline in the number of people on the move. The decrease in population flows seems to indicate the disruption of networks between some locations. Current migrants tend to be more qualified than in the past; this characteristic contributes to decentralized development.

scholarly journals Spatial Dynamics of Internal Migration Flows of the Skilled and Unskilled in Mexico

2020 ◽  
Author(s):  
Miguel Flores Segovia ◽  
Eliud Silva
Keyword(s):  
Internal Migration ◽  
Census Data ◽  
Relative Concentration ◽  
Spatial Dynamics ◽  
Unskilled Labor ◽  
Geographical Patterns ◽  
Economic Agglomeration ◽  
Skilled And Unskilled Labor ◽  
Migratory Patterns ◽  
Relationship Of

ABSTRACT: The dynamics of the internal migration is a crucial element in the composition of the workforce of a certain region, so its analysis contributes to the better understanding of labor markets and sociodemographic changes in a region. In order to characterize the most recent patterns of migratory flows of skilled and unskilled labor, census data are considered for the periods 1995-2000, 2005-2010 and 2010-2015. The analysis considers different indicators that describe the intensity and relative concentration of interstate migration. Changes in migratory patterns are evident; a lower concentration of internal migration whose effect is more marked for unskilled labor. That is, it is observed that the number of states that play a preponderant role in the redistribution of labor in Mexico has increased. The relationship of domestic labor mobility is evident to the regional transformation as a result of new geographical patterns of location of investment, production and economic agglomeration.

A Theoretical Foundation for the Concept of Differential Urbanization

1993 ◽  
Vol 15 (2) ◽  
pp. 157-177 ◽  
Author(s):  
Hermanus S. Geyer ◽  
Thomas Kontuly
Keyword(s):  
Urban Areas ◽  
Theoretical Foundation ◽  
Developed Countries ◽  
Development Spectrum ◽  
Urban Systems ◽  
Small Cities ◽  
Migration Patterns ◽  
Net Migration ◽  
Migration Flows ◽  
Clean Break

This paper develops a theoretical foundation for the notion of differential urbanization, in which groups of large, intermediate-sized, and small cities go through successive periods of fast and slow growth in a continuum of development that spans the evolution of urban systems in developed and less developed countries. A model depicting net migration patterns over time for major metropolitan, intermediate-sized, and small urban areas identifies six stages of differential urbanization. Data from three countries that span the development spectrum are used to test the accuracy of this model. A distinction between mainstream and substream migration flows provides an indicator of the concurrent concentration and deconcentration forces shaping urban systems. Counterurbanization represents the final phase in the first cycle of urban development, and is followed by a second cycle in which urbanization and spatial concentration dominate once again. At advanced levels of urbanization, the model can be used to characterize the degree of development within regions or subregions of a country. Also, precise definitions are suggested for the “clean break,” the end of urbanization, and the beginnings and ends of polarization reversal and counterurbanization.

Bigdata-based investigation of heterogeneous migration and population distribution

2021 ◽  
Author(s):  
Zhiwei Fan ◽  
L. Xiong ◽  
Bo Zheng
Keyword(s):  
Census Data ◽  
Population Distribution ◽  
Model Simulation ◽  
Human Mobility ◽  
Economic Systems ◽  
Migration Patterns ◽  
Demographic Trend ◽  
Education Levels ◽  
The Uk ◽  
Migration Probability

Abstract Human mobility is very important in understanding complex social and economic systems. With massive empirical datasets from the China Household Finance Survey and the National Statistics in the UK, we construct a migration probability matrix, and analyze the heterogeneous migration patterns. We then develop a random walk model to dynamically simulate the population distribution. In the stationary state, the resulting population distribution is in good agreement with the real statistical data. For comparison, simulations with an optimized gravity model and other datasets such as the census data in China are also performed. Further, the model simulation is applied to predict the demographic trend with different education levels. Our method could be generally extended to other real communities and internet worlds.

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