Internal migration

Internal migration or domestic migration is human migration within a country. Internal migration tends to be travel for education and for economic improvement or because of a natural disaster or civil disturbance,[1] though a study based on the full formal economy of the United States found that the median post-move rise in income was only 1%.[2]

Cross-border migration often occurs for political or economic reasons. A general trend of movement from rural to urban areas, in a process described as urbanisation, has also produced a form of internal migration.[3]

History

Many countries have experienced massive internal migration.

Secondary migration

A subtype of internal migration is the migration of immigrant groups—often called secondary or onward migration. Secondary migration is also used to refer to the migration of immigrants within the European Union.

In the United States, the Office of Refugee Resettlement, a program of the U.S. Department of Health and Human Services's Administration for Children and Families, is tasked with managing the secondary migration of resettled refugees.[5][6] However, there is little information on secondary migration and associated programmatic structural changes.[7] Secondary migration has been hypothesised as one of the driving forces behind the distribution of resettled refugees in the United States.[8]

Methods for analysing internal migration

Various methodologies are proposed and used in the literature to analyse internal migration. Ravenstein[9] used extensive cartographies to detail migration patterns. Slater[10] employed networks to model migration. Goldade et al.[11] employed geographical bounds and political afliation of communities, in addition to utilizing network structures. Gursoy and Badur[12] proposed signed network analysis, ego network analysis, representation learning, temporal stability analysis, community detection, and network visualization methods tailored for internal migration data and made their software available.[13]

See also

References

  1. "World Migration Report 2020". IOM World Migration Report. 2019-11-27. ISBN 978-92-9068-789-4. ISSN 2414-2603.
  2. Ben Klemens (June 2021). "An Analysis of U.S. Domestic Migration via Subset-stable Measures of Administrative Data". Journal of Computational Social Science. 5: 351–382. doi:10.1007/s42001-021-00124-w. S2CID 236308711.
  3. "Urbanization and migration". Migration data portal. 2022-06-10. Retrieved 2023-08-12.
  4. Moraes, Maurício (14 July 2011). "Economia e baixa natalidade diminuem migração interna no Brasil". BBC News Brasil (in Brazilian Portuguese). Retrieved 14 February 2022.
  5. 96th Congress (March 17, 1980). "Public Law 96-212" (PDF). United States Government Publishing Office. Retrieved February 12, 2017.
  6. 1980 Refugee Act. Pub. L. 96-212. 94 Stat. 102. 17 March 1980.{{cite book}}: CS1 maint: location (link) CS1 maint: location missing publisher (link)
  7. Ott, Eleanor (September 2011). "Get up and go: Refugee resettlement and secondary migration in the USA". New Issues in Refugee Research. No 219.
  8. Forrest, Tamar Mott; Brown, Lawrence A (7 April 2014). "Organization-Led Migration, Individual Choice, and Refugee Resettlement in the US: Seeking Regularities". Geographical Review. 104 (1): 10–32. doi:10.1111/j.1931-0846.2014.12002.x. S2CID 145203163.
  9. Ravenstein, E. G. (1885). "The Laws of Migration". Journal of the Statistical Society of London. 48 (2): 167–235. doi:10.2307/2979181. ISSN 0959-5341. JSTOR 2979181. S2CID 118679723.
  10. Slater, P B (December 1976). "A Multiterminal Network-Flow Analysis of an Unadjusted Spanish Interprovincial Migration Table". Environment and Planning A: Economy and Space. 8 (8): 875–878. doi:10.1068/a080875. ISSN 0308-518X. S2CID 143550759.
  11. Goldade, Travis; Charyyev, Batyr; Gunes, Mehmet Hadi (2018). "Network Analysis of Migration Patterns in the United States". In Cherifi, Chantal; Cherifi, Hocine; Karsai, Márton; Musolesi, Mirco (eds.). Complex Networks & Their Applications VI. Studies in Computational Intelligence. Vol. 689. Cham: Springer International Publishing. pp. 770–783. doi:10.1007/978-3-319-72150-7_62. ISBN 978-3-319-72150-7.
  12. Gürsoy, Furkan; Badur, Bertan (2022-10-06). "Investigating internal migration with network analysis and latent space representations: an application to Turkey". Social Network Analysis and Mining. 12 (1): 150. doi:10.1007/s13278-022-00974-w. ISSN 1869-5469. PMC 9540093. PMID 36246429.
  13. Gursoy, Furkan (2022-03-26), "Investigating internal migration with network analysis and latent space representations: An application to Turkey", Social Network Analysis and Mining, 12 (1): 150, doi:10.1007/s13278-022-00974-w, PMC 9540093, PMID 36246429, retrieved 2023-08-08
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