Volume 16, Numbers 1/2, May/November 1999
Contents
Abstracts
CONSENSUAL PARTNERING IN AUSTRALIA: A REVIEW AND 1991 CENSUS PROFILE
Part 2: Other Socio-dernographic, Socio-economic and Geographic Characteristics
Gordon Carmichael, The Australian National University
Christine Mason, Australian Bureau of Statistics
This paper is the second in a two-part examination of consensual partnering in Australia. The first part reviewed relevant literature and the deficiencies of census data for capturing the cohabiting population, and presented the basic demography of that population. This part extends the 1991 Census profile of the phenomenon. It traverses socio-demographic (religion and ethnicity), socio-economic (housing, labour force status, occupation and education) and geographic (residential mobility and residential location) attributes of those in consensual unions. It also briefly compares never-married and ever-married cohabitors as two distinct subgroups of the cohabiting population.
YOUTH SUICIDE IN AUSTRALIA
Lado Ruzicka
C.Y Choi, Australian Institute of Health and Welfare
This paper reviews the incidence of youth suicide in Australia in comparison with other industrialized countries around the mid-1990s. It focuses on fatal suicides in Australia and records changes in suicide mortality levels and patterns since the 1950s. An attempt is made to estimate the global extent of the problem of suicidal behaviour (suicides plus attempted suicides). The discussion concentrates on the presumed factors associated with the recent epidemic of self-destruction among young Australian males: drug and alcohol abuse, and unemployment. Finally, some of the attempts at prevention of suicidal acts and their effectiveness are reviewed.
ASSESSING THE ACCURACY OF AUSTRALIA'S SMALL-AREA POPULATION ESTIMATES
Andrew Howe, The Australian Bureau of Statistics
The Australian Bureau of Statistics provides population estimates of Statistical Local Areas annually. The accuracy of these estimates can be assessed after population estimates are rebased after each quinquennial Census of Population and Housing, however there appears to be no straightforward method of assessing these estimates. Errors that occur with population estimates can be attributed to several factors, both broad and specific to individual areas. These factors include inherent characteristics of the region, such as population size and growth rate; changes in the geographic boundaries; quality of input data; estimation method; and adjustments to control totals (state populations).
HOUSEHOLD SIZE AND THE POISSON DISTRIBUTION
Vic Jennings, University of Melbourne
Bill Lloyd-Smith, University of Melbourne
Duncan Ironmonger, University of Melbourne
Household size distributions for 104 countries are examined. It is shown that a Poisson distribution truncated at zero can be used to derive models of household size distribution. An improved fit is obtained by adding a linear term to the truncated Poisson model. This distribution depends only on average household size which in turn is shown to be related to modified dependency ratios. This method can be used for comparisons of household size distributions across nations and for long-term forecasting.