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The census of population, conducted by three statistical offices in the United Kingdom, provides a unique resource for measuring and understanding internal migration patterns and propensities. It is the only source that asks an entire population, once every ten years, about their migration behaviour and as such provides a valuable resource for asse...
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... analysis presented in this paper adopts a City Region typology, designed as a set of functional entities to aid in decision making (Marvin & Robson, 2006). The City Regions used in this study were defined by Stillwell et al. (2000Stillwell et al. ( , 2001) and represent 13 'Core Cities' of the UK: Aberdeen, Belfast, Birmingham, Bristol, Cardiff, Edinburgh, Glasgow, Leeds, Liverpool, London, Manchester, Newcastle and Sheffield (see Figure 1). In addition to the 'Core' LAD, which contains the city itself, each region is comprised of a 'City Rest' zone (other LADs which are strongly connected to the Core), a 'Near' zone (further away from the Core than the City Rest) and a 'Coast and Country' zone (furthest away from the Core). ...
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Migration is a very important component of population dynamics at regional level. Migration implies a permanent, or at least a semi-permanent, change in the place of residence of individual or individuals from one location to another. The present study examines the reasons of migration in India taking into consideration the major 18 states in India...
Citations
... The research framework presented in this study can be extended in various directions, including group disaggregated research, application of multivariate techniques, and research on smaller spatial units. Key Words : Migration effectiveness, Population redistribution, Spatial scale, Net migration rate, Scalability 2000; Rees et al., 2017;Bell et al., 2020)와 한 국가를 대상 으로 인구이동 영향력의 시공간적 역동성을 탐색하는 연 구 (Bonifazi and Heins, 2000;Fan, 2005;Drobne and Brešček, 2019; Stawarz and Sander, 2019;Kotsubo and Nakaya, 2022;Lomax, 2022) (Long, 1985;Morrill, 1988 (Stillwell and Harland, 2010;이상일･이소영, 2021). (Plane, 1984;Plane, 1994;Plane and Rogerson, 1994;Stillwell et al., 2000). ...
... Censuses are generally regarded as presenting a cross-section or snapshot view of a population at a certain time whose currency decays through the following years until the next enumeration occurs. Lomax (2022) focuses on the census question asking about people's address one year before the census date demonstrating how it is possible to explore changes in the rates and spatial patterns of internal migration over the four decennial censuses from 1981 to 2011. Recent developments in 'big data' and our shift into the era of 'data science' seem likely to mean that the days of traditional censuses may be numbered. ...
This paper provides an analysis of working from home patterns in England using data from the 2021 Census to understand (1) how patterns of working from home (WFH) in England have shifted since the COVID‐19 pandemic and (2) whether human mobility indicators, specifically Google Community Mobility Reports, provide a reliable proxy for WFH patterns recorded by the 2021 Census, providing a formal evaluation of the reliability of such datasets, whose applications have grown exponentially over the COVID‐19 pandemic. We find that WFH patterns recorded by the 2021 Census were unique compared with previous UK censuses, reflecting an unprecedented increase likely caused by persistent changes to employment during the COVID‐19 pandemic, with a clear social gradient emerging across the country. We also find that Google mobility in ‘Residential’ and ‘Workplace’ settings provides a reliable measurement of the distribution of WFH populations across Local Authorities, with varying uncertainties for mobility indicators collected in different settings. These findings provide insights into the utility of such datasets to support population research in intercensal periods, where shifts may be occurring, but can be difficult to quantify empirically.
The migration of people affects the geographical distribution of the population and the demographic composition of areas over the short, medium and long terms. To recognise and respond to the corresponding needs and challenges, including consequences for service provision, social cohesion and population health, there is a continuing need to understand migration patterns of the past and present. Area classifications are a useful tool to simplify the inherently complex data on migration flows and characteristics. Yet, existing classifications often lack direct migration measures or focus solely on cross‐sectional data. This study addresses these limitations by employing Group‐Based Multi‐Trajectory Modelling (GBMTM) to create a longitudinal, migration‐specific classification of Great Britain's wards from 1981 to 2011, using six migration indicators. Using U.K. census data, we reveal six distinct migration clusters that highlight the rapid growth in studentifying neighbourhoods, the continuous influx of migrants into inner cities, and a noticeable North–South divide in terms of movers' tenure enforced by persisting income selectivity. Additionally, the geographical distribution of clusters shows a common pattern in urban areas irrespective of size or location. The longitudinal perspective of our GBMTM classification highlights trends and changes in migration patterns that are not well reflected in either the general purpose or the cross‐sectional migration classification that we used as comparators. We conclude that the method presented and the classification generated offer a novel lens on migration and provide new opportunities to explore the effects of migration on a variety of outcomes and at various scales.
