1 / 18

Palaeodemography

This article explores the methods used to calculate demographic trends from skeletal remains. It discusses life expectancy, mortality, and the impact of death on population dynamics. The role of various factors, such as disease, accidents, violence, and malnutrition, in premature death is examined. Additionally, the estimation of age and sex from skeletal remains and the challenges associated with burial practices and population representation are discussed. The article also covers the construction of life tables, mortality and survivorship curves, and the demographic history of South Africa.

cmartinez
Download Presentation

Palaeodemography

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Palaeodemography Methods used to calculate demographic trends from skeletal remains Introduction Life expectancy and mortality Life tables

  2. Death: affect on population ANA 328

  3. Causes of premature death • Disease (e.g., AIDS, SARS) • Accidents • Motor vehicle, aeroplane etc. • Exposure to elements (hypothermia) • Violence / Warfare • Malnutrition (starvation) ANA 328

  4. Life expectancy • Estimated period of time that one is expected to live at a particular age (x) ANA 328

  5. Current trends (2002) ANA 328

  6. Comparison 1995 & 2002 ANA 328

  7. AIDS and South Africa ANA 328

  8. Fertility and infant mortality ANA 328

  9. Skeletal remains 1:2 • Accurate estimation of age and sex from skeletal remains • Sample is a good representation of the population • Bias • Non-stationary populations • Estimation of age at death • Burial practices and preservation of the remains ANA 328

  10. Skeletal remains 2:2 • Multi-factor approach: estimating of age • Distribute individuals over age ranges • Compare with standards, e.g, Coale and Demeny: Regional Model Life Tables and Stable Populations ANA 328

  11. Abridged life table ANA 328

  12. Abridged life table: correction factor ANA 328

  13. Mortality vs. Survivorship curves • Plotting age cohorts on the X-axis and percentage on the Y-axis • dx = mortality • lx = survivorship ANA 328

  14. Mortality ANA 328

  15. Survivorship ANA 328

  16. Demography: SA • Black South Africans not recorded until 1980 • After 1994, all groups were pooled • No complete record of mortality for black South Africans (last 100 years) • Cemetery registry: Rebecca Street and Mamelodi ANA 328

  17. 100 years: Rebecca Street Cemetery ANA 328

  18. Cemetery Project • August 28th, 2005 (11:00am to 3:00pm) • Rebecca Street Cemetery • Collection of demographic data • Calculation of life expectancy tables in class (Tuesday August 29th, 2006) ANA 328

More Related