Hostname: page-component-78c5997874-lj6df Total loading time: 0 Render date: 2024-11-08T07:55:10.620Z Has data issue: false hasContentIssue false
  • English
  • Français

Estimates of fertility and infant and child mortality for Lae urban area of Papua New Guinea: a comparative analysis

Published online by Cambridge University Press:  31 July 2008

William K. A. Agyei
William K. A. Agyei
Affiliation:
Institute of Statistics and Applied Economics, Makerere University, Kampala, Uganda
Get access Rights & Permissions [Opens in a new window]

Summary

Data collected on fertility, mortality and family planning in two surveys in Papua New Guinea are presented. The first survey was conducted in rural and urban areas between November 1979 and March 1980 in eight provinces of Papua New Guinea, and the second between late June and early July 1981 in the Lae urban area. The unadjusted total fertility rates suggest that fertility is lower in the Lae urban area than in the rural and provincial urban areas. However, the adjusted rates indicate that fertility is higher in the provincial urban areas than in the rural and Lae urban areas. The results also confirm a trend towards lower infant and child mortality over the past 15 years, as well as the existence of moderate differentials between rural, provincial urban and the Lae urban areas.

Type
Review
Information
Journal of Biosocial Science , Volume 19 , Issue 2 , April 1987 , pp. 139 - 148
Copyright
Copyright © Cambridge University Press 1987

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Agyei, W. K. A. (1984a) Fertility and family planning in Papua New Guinea. J. biosoc. Sci. 16, 323.CrossRefGoogle ScholarPubMed
Agyei, W. K. A. (1984b) Family planning in Lae urban area of Papua New Guinea 1981. J. biosoc. Sci. 16, 269.CrossRefGoogle ScholarPubMed
Brass, W. (1975) Methods for Estimating Fertility and Mortality from Limited and Defective Data. Occasional publication, Carolina Population Centre, Chapel Hill, NC.Google Scholar
Brass, W., Coale, A. J., Demeny, P., Heisel, D. F., Lorimer, F., Romanuik, A. & Van de Walle, E. (1968) The Demography of Tropical Africa. Princeton University Press, Princeton, NJ.CrossRefGoogle Scholar
Coale, A. J. & Demeny, P. (1966) Regional Model Life Tables and Stable Populations. Princeton University Press, Princeton, NJ.Google Scholar
Feeney, G. (1976) Estimating infant mortality rates from child survivorship data by age of mother. Asian Pacific Census Newsletter, 3, 12.Google Scholar
Feeney, G. (1980) Estimating infant mortality trends from child survivorship data. Popul. Stud. 34, 104.CrossRefGoogle ScholarPubMed
Palloni, A. (1980) Estimating infant and childhood mortality under conditions of changing mortality. Popul. Stud. 34, 129.CrossRefGoogle ScholarPubMed
Preston, S. H. & Palloni, A. (1978). Fine-tuning Brass-type mortality estimates with data on ages of surviving children. In: Population Bulletin No. 10. United Nations, New York.Google Scholar
Sullivan, J. R. (1972) Models for the estimation of the probability of dying between birth and exact ages in early childhood. Popul. Stud. 26, 79.CrossRefGoogle Scholar
Trussell, T. J. (1975). A re-examination of the multiplying factors for the Brass technique for determining childhood survivorship rates. Popul. Stud. 29, 97.CrossRefGoogle Scholar
United Nations (1967) Manual IV: Methods of Estimating Basic Demographic Measures from Incomplete Data. Population Studies No. 42. UN, New York.Google Scholar
United Nations (1983) Manual X: Indirect Techniques for Demographic Estimation. Department of International Economic and Social Affairs, UN. New York.Google Scholar