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Projecting the sexual minority population: Methods, data, and illustrative projections for Australia

Author

Listed:
  • Tom Wilson

    (Independent researcher)

  • Anthony Lyons

    (La Trobe University)

  • Jeromey Temple

    (University of Melbourne)

Abstract

Background: Attitudes to sexual minorities have undergone a transformation in many Western countries in recent decades. With much greater public acceptance, and an increase in policies and legislation to support equality and outlaw discrimination, the need for population statistics on sexual minority populations has grown. However, such statistics remain rare: Only a few sets of population estimates have been produced in a small number of countries, and there are no population projections of which we are aware. Objective: The aims of this paper are to introduce a model for producing projections of a national population by sexual identity, suggest ways in which data and conceptual limitations can be handled, and present illustrative population projections for Australia. Methods: An adapted multistate cohort-component is described, along with various data sources and approaches for preparing plausible projection assumptions. Two illustrative scenarios for the future of Australia’s sexual minority population over the 2016–2041 period are presented. Results: According to the selected scenarios, Australia’s sexual minority population is projected to increase rapidly over the coming decades, rising from 0.65 million in 2016 to between 1.25 and 1.57 million by 2041. This growth is generated by sexual minority cohort flow – the gradual replacement of cohorts with lower proportions of sexual minority identification by those with the higher proportions – and identification change. The overall share of the population identifying with a sexual minority identity is likely to increase. Conclusions: Although the projections remain illustrative and approximate, the likely coming growth of the sexual minority population signals multiple social, health, and economic policy implications ahead. Contribution: The paper presents a novel projection method and example projections of an under-researched and stigmatised population.

Suggested Citation

  • Tom Wilson & Anthony Lyons & Jeromey Temple, 2021. "Projecting the sexual minority population: Methods, data, and illustrative projections for Australia," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 45(12), pages 361-396.
  • Handle: RePEc:dem:demres:v:45:y:2021:i:12
    DOI: 10.4054/DemRes.2021.45.12
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    References listed on IDEAS

    as
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    3. Patrice Dion, 2017. "An Alternative to Fixed Transition Probabilities for the Projection of Interprovincial Migration in Canada," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 36(6), pages 871-901, December.
    4. Michele Tuccio, 2019. "Measuring and assessing talent attractiveness in OECD countries," OECD Social, Employment and Migration Working Papers 229, OECD Publishing.
    5. Marie-Anne Valfort, 2017. "LGBTI in OECD Countries: A Review," OECD Social, Employment and Migration Working Papers 198, OECD Publishing.
    6. David Coleman, 2010. "Projections of the Ethnic Minority Populations of the United Kingdom 2006–2056," Population and Development Review, The Population Council, Inc., vol. 36(3), pages 441-486, September.
    7. Hatzenbuehler, M.L. & Phelan, J.C. & Link, B.G., 2013. "Stigma as a fundamental cause of population health inequalities," American Journal of Public Health, American Public Health Association, vol. 103(5), pages 813-821.
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    Cited by:

    1. Hanna Vseviov & Allan Puur & Mark Gortfelder, 2023. "Fertility Intentions and Sexual Orientation: Evidence from the 2020 Youth Survey in Estonia," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 42(2), pages 1-26, April.
    2. Karinna Saxby, 2022. "Australia's LGBTIQ Research Data Landscape," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 55(2), pages 290-308, June.

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    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

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