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How Long Do People Live in Low-income Neighbourhoods? Evidence for Toronto, Montreal and Vancouver

Author

Listed:
  • Picot, Garnett
  • Sceviour, Roger
  • Frenette, Marc

Abstract

This study uses longitudinal tax data to explore several undocumented aspects regarding the duration of time spent residing in low-income neighbourhoods (residential 'spells'). Although the length of new spells is generally substantial (at least compared with low-income spells), there is quite a lot of variation in this regard. Low-income neighbourhood spells exhibit negative duration dependence, implying that the longer people live in low-income neighbourhoods, the less likely they are to leave. Length of spell varies substantially by age and city of residence and, to a lesser extent, by family income and family type. Specifically, older individuals remain in low-income neighbourhoods for longer periods of time than younger individuals, as do residents of Toronto and Vancouver (in relation to Montreal). Individuals in low-income families have longer spell lengths than those in higher income families and, among these low-income families, lone-parents and couples with children generally spend more time living in low-income neighbourhoods than childless couples and unattached individuals.

Suggested Citation

  • Picot, Garnett & Sceviour, Roger & Frenette, Marc, 2004. "How Long Do People Live in Low-income Neighbourhoods? Evidence for Toronto, Montreal and Vancouver," Analytical Studies Branch Research Paper Series 2004216e, Statistics Canada, Analytical Studies Branch.
    • Handle: RePEc:stc:stcp3e:2004216e
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    File URL: https://www150.statcan.gc.ca/n1/en/catalogue/11F0019M2004216
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    Cited by:

    1. Philip Oreopoulos, 2008. "Neighbourhood Effects in Canada: A Critique," Canadian Public Policy, University of Toronto Press, vol. 34(2), pages 237-258, June.
    2. Mengisteab Chokie & Mark D. Partridge, 2008. "Low‐Income Dynamics in Canadian Communities: A Place‐Based Approach," Growth and Change, Wiley Blackwell, vol. 39(2), pages 313-340, June.
    3. Ashley Pedigo & William Seaver & Agricola Odoi, 2011. "Identifying Unique Neighborhood Characteristics to Guide Health Planning for Stroke and Heart Attack: Fuzzy Cluster and Discriminant Analyses Approaches," PLOS ONE, Public Library of Science, vol. 6(7), pages 1-11, July.

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