• Farhat Yusuf
  • Jo. M. Martins
  • David A. Swanson


The chapter discusses issues that make the definition and measurement of migration a difficult field in demography and related analysis. It provides conceptual organizing frameworks to help in the identification of international and internal migrants. It deals with inflows and outflows of migrants and their net effect. It proceeds to examine various concepts related to gross and net migration, migration turnover and effectiveness and related measures. Examples of these measurements are illustrated using data from a specific country. Direct methods of estimation of migration over time are reviewed and an example is given. Indirect methods of estimation of migration using life tables are explained and demonstrated with real data. Other indirect methods are also considered. Determinants of migration are reviewed and the gravity model of migration is specified and illustrated. The concept of the centre of gravity of population is also described and its application is shown.


Life Table Migration Rate Internal Migration Gravity Model Survival Ratio 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. Australia. (2013). Census home: data and analysis. Canberra: Australian Bureau of Statistics. Accessed Feb 2013.
  2. Lee, E. (1966). A theory of migration. Demography, 3, 47–57.CrossRefGoogle Scholar
  3. Miyashiro, T. (1990). Migration of college students in the state of Washington, 1990 (Student Paper Series, Technical Report S.8.16.91-3). Bellingham: Demographic Research Laboratory, University of Washington.Google Scholar
  4. Morrison, P., Bryan, T., & Swanson, D. A. (2004). Internal migration and short-distance mobility. In J. Siegel & D. A. Swanson (Eds.), The methods and materials of demography (2nd ed., pp. 493–521). San Diego: Elsevier Academic Press.Google Scholar
  5. Ravenstein, E. (1889). The laws of migration. Journal of the Royal Statistical Society, 52, 241–301.CrossRefGoogle Scholar
  6. Swanson, D. A., & Stephan, G. E. (2004). Glossary. In J. Siegel & D. A. Swanson (Eds.), The methods and materials of demography (2nd ed., pp. 751–786). San Diego: Elsevier Academic Press.Google Scholar
  7. United States. (1992). 1990 Census of population: general population characteristics, California, table 54. Washington, DC: Bureau of Census. Accessed Feb 2013.
  8. United States. (1999). California life expectancy: abridged life tables by race/ethnicity for California, 1995–97. Sacramento: State of California Department of Health Services. Accessed Feb 2013.
  9. United States. (2013). Historical and projected State and County births, 1970–2021, with actual and projected fertility rates by mother’s age and race/ethnicity, 2000–2021. Sacramento: California Department of Finance. Accessed Feb 2013.
  10. United States. (undated). American fact finder. Washington, DC: Bureau of Census. Accessed Feb 2013 (To obtain the data required in column (4) of Table 8.4, type Table QT-P1 in the first box and Inyo County, California in the second box.)Google Scholar
  11. Zipf, G. K. (1946). The P1P2/D hypothesis: on the intercity movement of persons. American Sociological Review, 11, 677–686.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht. 2014

Authors and Affiliations

  • Farhat Yusuf
    • 1
    • 2
  • Jo. M. Martins
    • 2
  • David A. Swanson
    • 3
  1. 1.Menzies Centre for Health Policy Sydney School of Public HealthThe University of SydneySydneyAustralia
  2. 2.Department of Marketing and Management Faculty of Business and EconomicsMacquarie UniversityNorth RydeAustralia
  3. 3.Department of Sociology College of Humanities, Arts and Social SciencesUniversity of California RiversideRiversideUSA

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