IDEAS home Printed from https://ideas.repec.org/p/cdp/texdis/td338.html
   My bibliography  Save this paper

Quantos são os centenários no Brasil? Uma estimativa indireta da população com 100 anos e mais com base no número de óbitos

Author

Listed:
  • Marília Miranda Forte Gomes

    (Cedeplar-UFMG)

  • Cássio M. Turra

    (Cedeplar-UFMG)

Abstract

The Brazilian population is rapidly aging. As a result, the number of centenarians has grown steadily over the last decades. According to IBGE, there were 13.865 and 24.476 centenarians of both sexes, respectively, in 1991 and 2000, representing an increase of 77 per cent in just nine years. Although expected, the increasing number of centenarians may be exaggerated by age misreporting at very old ages. In this article, we examine the consistency between the number of centenarians reported in the last two Brazilian censuses (1991 and 2000) and indirect estimates of this population calculated according to three methods: Extinct Generations, Rosenwaike (1968) and Coale & Caselli (1990). We find about four times more people in the census data than according to the indirect estimates. Uncertainty about the true size of old-age populations has important implications in data-deficient countries, particularly in the debate on adult mortality estimates.

Suggested Citation

  • Marília Miranda Forte Gomes & Cássio M. Turra, 2008. "Quantos são os centenários no Brasil? Uma estimativa indireta da população com 100 anos e mais com base no número de óbitos," Textos para Discussão Cedeplar-UFMG td338, Cedeplar, Universidade Federal de Minas Gerais.
  • Handle: RePEc:cdp:texdis:td338
    as

    Download full text from publisher

    File URL: https://www.cedeplar.ufmg.br/pesquisas/td/TD%20338.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    centenarians; age misreporting; longevity;
    All these keywords.

    JEL classification:

    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cdp:texdis:td338. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Gustavo Britto (email available below). General contact details of provider: https://edirc.repec.org/data/pufmgbr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.