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This paper explores associations between local socioeconomic context and perceptions of neighbourhood quality of life, using a multilevel modelling approach to analyse data from the 2002/03 Survey of English Housing. A range of individual, property and area variables is successively introduced, the aim being to determine which of these has the greatest influence on the probability of being dissatisfied with one's neighbourhood. Several variables relating to property type and characteristics were derived and a set of ecological independent variables was used that is different from those deployed in previous analyses. Using a multilevel approach, the analysis determines the spatial scale at which variance is most concentrated—namely, the primary sampling unit (PSU). The relationship between tenure and property type is broken down and it is shown that social renting per se is not necessarily associated with greater dissatisfaction, although there is an association between private renting and greater satisfaction, probably reflecting the age and social profile of private renters. In respect of ecological indicators, increased levels of deprivation were associated with a raised probability of expressing neighbourhood satisfaction, as was settlement size, which is consistent with earlier work on quality of life. Conclusions are drawn concerning the use of studies of this kind to monitor trends in neighbourhood satisfaction.

Negative perceptions of anti-social behaviour have been shown by previous research to have harmful repercussions to both an individual's mental and physical health as well as the neighbourhood's long-term prospects. Studies in the USA have previously found that the location of alcohol supply points is associated with these negative perceptions, whereas recent, more qualitative and ethnographic research from the UK emphasises the heterogenous and contingent nature of attitudes and perceptions towards alcohol consumption patterns and behaviour. Using multilevel models applied to data from a national crime survey and geocoded data on pubs, bars and nightclubs, this paper focuses on the complex relationship between perceptions of alcohol-related anti-social behaviour and the density of such establishments across England. The findings support the general link between unfavourable perceptions and density of outlets but also highlight the complexity of this association by showing that these relationships are dependent on other characteristics of the neighbourhood, namely deprivation and the proportion of young people in the neighbourhood.

Recent debates have suggested that increasing social diversity within Western economies is associated with adverse social consequences such as loss of community and decline of civic society, including an erosion of collective efficacy (ie shared expectations of and mutual engagement by residents in social control). In the UK and US, these debates have been given impetus by concerns about the effects of growing ethnic heterogeneity on community life. Here there is an assumption that heterogeneity undermines social cohesion and makes the established population less willing to share resources, trust fellow citizens, so that it eventually 'hunkers down' and withdraws from collective life. To date there are few studies that have examined this in detail across England at the small-area level. The research presented here explores this terrain by exploiting information from the British Crime Survey on two recognised dimensions of collective efficacy: namely, social cohesion and trust, and informal social control. Multivariate, multilevel models were used to determine the importance of individual and area characteristics in the possible explanation of these outcomes, and particular attention was paid to the relative importance of neighbourhood disadvantage over and above neighbourhood diversity. Results suggest that both diversity and disadvantage are statistically associated with reduced levels of social cohesion and trust, and informal social control, but greater substantive importance is attached to neighbourhood disadvantage.

We describe a method of producing small-area estimates of characteristics of the neighbourhood social environment, such as participation in associational life. The method may be characterised as 'modelling nationally, and predicting locally' because the initial models are estimated using multilevel data derived from national datasets, calibrated to allow for within-region as well as between-region variation. These models produce coefficients which can then be applied to socioeconomic data at the local scale. As an example we outline a model of the determinants of volunteering. This indicates significant variation between places in the relationship between individual and area characteristics which influence the probability of volunteering. Then we proceed to show how this can be used to generate predictions of the variations between places in a number of aspects of the social environment. The estimates we produce are validated against survey data from other surveys, and a satisfactory degree of correlation is obtained, giving us confidence in the estimates we have produced.

This book brings together a collection of new and innovative work by researchers from Australia, Canada, New Zealand and the UK - settings where issues of voluntarism and participation have become increasingly important for the development and delivery of social welfare policy. Prefaced by one of the foremost geographers in this field, it contains empirical and theoretical work from both new and well-established geographers. The chapters explore the interactions between voluntarism and a range of issues including governance, health, community action, faith, ethnicity, counselling, advocacy and professionalisation. The book will be of interest not only to students and researchers in human geography but also to those working in social policy, sociology, health and political science. The detailed case material will also be of particular interest to practitioners working in the fields of health, governance, social welfare and social exclusion