diversity encompasses more than just language, previous research shows that language diversity is more consequential for community social processes in the Australian context (Leigh, 2006; Wickes, et al., 2013). Population Composition: Given that social vulnerability for community resilience may be impacted by the age composition of the community and community size (Cutter, et al., 2003), we include three indicators of population composition drawn from the ABS 2006 Census data. The first is the aged 0 to 14 years in the community. The percent of children second is the in the community measured by the percentage of percent of elderly people residents aged over 65 years. Our third measure of population composition is the total living in a given suburb. persons Housing Tenancy: The final vulnerability domain we control for in our models is housing tenancy. Here we include two measures from the ABS 2006 Census data. The first is which assesses the percent of people living at a different address five residential stability years ago. The second is the percent of residents who are renting. Flood Impact: In the months following the Brisbane flood the QRA collected data across several key community functioning indictors including: schools and community infrastructure opened; individuals and households affected by the disaster; small businesses affected by the disaster; insurance data; power data and; percentage of state-owned roads damaged and repaired (The Queensland Reconstruction Authority, 2011). Using these data, we created a dummy variable to indicate whether or not a community had been flood affected. The summary statistics for the variables included in the analyses are presented in Appendix 2. Analytic Approach
diversity encompasses more than just language, previous research shows that language diversity is more consequential for community social processes in the Australian context (Leigh, 2006; Wickes, et al., 2013). Population Composition: Given that social vulnerability for community resilience may be impacted by the age composition of the community and community size (Cutter, et al., 2003), we include three indicators of population composition drawn from the ABS 2006 Census data. The first is the percent of children aged 0 to 14 years in the community. The second is the percent of elderly people in the community measured by the percentage of residents aged over 65 years. Our third measure of population composition is the total persons living in a given suburb. Housing Tenancy: The final vulnerability domain we control for in our models is housing tenancy. Here we include two measures from the ABS 2006 Census data. The first is residential stability which assesses the percent of people living at a different address five years ago. The second is the percent of residents who are renting. Flood Impact: In the months following the Brisbane flood the QRA collected data across several key community functioning indictors including: schools and community infrastructure opened; individuals and households affected by the disaster; small businesses affected by the disaster; insurance data; power data and; percentage of state-owned roads damaged and repaired (The Queensland Reconstruction Authority, 2011). Using these data, we created a dummy variable to indicate whether or not a community had been flood affected. The summary statistics for the variables included in the analyses are presented in Appendix 2. Analytic Approach