The Household, Income and Labour Dynamics in Australia (HILDA) Survey is a nationally representative longitudinal study of Australian households which commenced in 2001. Funded by the Australian Government Department of Social Services (DSS), the HILDA Survey is managed by the Melbourne Institute of Applied Economic and Social Research at the University of Melbourne. The HILDA Survey provides longitudinal data on the lives of Australian residents. Its primary objective is to support research questions falling within three broad and inter-related areas of income, labour market and family dynamics. The HILDA Survey is a household-based panel study of Australian households and, as such, it interviews all household members (15 years and over) of the selected households and then re-interviews the same people in subsequent years. This dataset is the 22nd release of the HILDA data, incorporating data collected from 2001 through 2022 (Waves 1-22). The special topic module in Wave 22 is wealth, and includes questions on employment-related discrimination, updates to citizenship and permanent residency and material deprivation

The Household, Income and Labour Dynamics in Australia (HILDA) Survey is a nationally representative longitudinal study of Australian households which commenced in 2001. Funded by the Australian Government Department of Social Services (DSS), the HILDA Survey is managed by the Melbourne Institute of Applied Economic and Social Research at the University of Melbourne. The HILDA Survey provides longitudinal data on the lives of Australian residents. Its primary objective is to support research questions falling within three broad and inter-related areas of income, labour market and family dynamics. The HILDA Survey is a household-based panel study of Australian households and, as such, it interviews all household members (15 years and over) of the selected households and then re-interviews the same people in subsequent years. This dataset is the 22nd release of the HILDA data, incorporating data collected from 2001 through 2022 (Waves 1-22). The special topic module in Wave 22 is wealth, and includes questions on employment-related discrimination, updates to citizenship and permanent residency and material deprivation

The Household, Income and Labour Dynamics in Australia (HILDA) Survey is a household-based panel study which began in 2001. The survey is conducted for the (Federal) Department of Families, Housing, Community Services and Indigenous Affairs (FaHCSIA). The Nielsen Company conducted the fieldwork from 2001 to 2008; Roy Morgan Research 2009-. The primary objective of HILDA is to support questions falling into three broad areas: -Income dynamics - focusing on how households respond to policy changes aimed at improving financial incentives, and interactions between changes in family status and poverty. -Labour market dynamics - focusing on low-to-middle income households, female participation, and work to retirement transitions; and -Family dynamics - focusing on family formation, well-being and separation, along with post-separation arrangements for children, and on links between income support and family formation and breakdown. HILDA has the following key features: -It collects information about economic and subjective well-being, labour market dynamics and family dynamics. -Special questionnaire modules are included each wave. -The wave 1 panel consisted of 7,682 households and 19,914 individuals. -Interviews are conducted annually with all adult members of each household. -The panel members are followed over time. -The funding has been guaranteed for twelve waves, though the survey is designed to continue for longer than this. -Academic and other researchers can apply to use the General Release datasets for their research (see Access conditions). As of October 2011 nine waves of data are available to researchers. User Manuals at http://melbourneinstitute.com/hilda/doc/doc_hildamanual.html

Characteristics of the sample, HILDA study, at their first entry wave into the study (people = 20,478).

Comparisons of model predicted event rates at 24 months and at 48 months with observed rates for the wave 4 female participants in wave 5 and wave 6.

This table contains estimates of generalised trust derived by applying a spatial microsimulation technique to estimates of generalised trust from the HILDA Wave 10 dataset. This dataset was benchmarked to small area estimates from the 2011 Census. A full description of the method, benchmarks and validation is given in the User Guide. Due to the modelling process, these estimates are best used as ordinal values. Low levels of trust are represented by a 1, and high levels of trust are represented by a 7. This table forms part of the AURIN Social Indicators project.

Bivariate analysis between health, socio-demographic, lifestyle, and job-related characteristics with presenteeism in Australian workers.

IntroductionLoneliness and social isolation (SI) are critical public health issues with well-documented effects on health and well-being. However, much of existing observational and intervention research has focused predominantly on individual-and interpersonal-level factors. This longitudinal study addresses significant knowledge gaps by comprehensively examining the independent influence of multiple community-level determinants on loneliness and SI and uniquely comparing these effects across younger (18–30 year) and older (60 + years) adults within an Australian population cohort over a 12-year period.MethodsUsing longitudinal data from the Household, Income and Labour Dynamics in Australia (HILDA) survey, we analysed data from four wave pairs (2006/07, 2010/11, 2014/15, 2018/19) to investigate associations between loneliness and SI and nine community and neighbourhood-level variables. We employed lagged mixed-effects Poisson regression models to calculate risk ratios (RR) adjusted for individual-and interpersonal-level factors.ResultsOur findings reveal that low community engagement is the strongest risk factor for loneliness and SI in both younger (Loneliness, RR = 1.34; SI, RR = 1.58) and older populations (Loneliness, RR = 1.35; SI = 2.02). Low neighbourhood social cohesion was found to significantly increase loneliness and SI in older adults (Loneliness, RR = 1.15; SI, RR = 1.36) and to increase SI in younger adults (RR = 1.54). We also observed distinct age-specific effects, with cultural practices, altruism, and perceived neighbourhood safety having differential impacts across age groups.DiscussionOur findings highlight the critical need for community-level interventions to address loneliness and SI, suggesting that focusing solely on individual-related factors is insufficient. Tailoring public health strategies to enhance community dynamics may be essential in reducing loneliness and SI among vulnerable populations, particularly in areas with low social cohesion and community engagement offerings.