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Studies show that the distribution of nonprofits varies considerably across communities. Affluent communities tend to have ample nonprofit resources and highly diverse nonprofit landscapes, whereas low-income communities often lack the variety of nonprofits found within wealthier areas. As a result of these differences, scholars have suggested that geographic unevenness in the presence of nonprofits may lead to extreme inequities and inefficiencies in how nonprofit services are accessed and administered. Although these concerns certainly warrant serious attention, several limitations have been acknowledged with the National Center for Charitable Statistic's (NCCS) Core Financial Files—which have been the primary data source used to generate findings on geographic dimensions of the nonprofit sector in the United States. This research note examines the accuracy of the information in the Core Files after adjustments for each of these limitations.

For most nonprofits, their effectiveness, sustainability, and survival all depend on the willingness of individuals to behave in prosocial ways, for example, by giving time, money, and/or resources to various organizations and causes. Scholars have, therefore, long sought to identify predictors of prosocial behaviors; and, one consistently significant variable in this quest has been prosocial role identity. Indeed, the strength of this identity, studies have shown, positively predicts participation in a variety of prosocial activities. Despite this significance, research on service-learning, a widely utilized pedagogical practice intended to prepare prosocially active and engaged citizens, has been largely disconnected from the literature on identity motivated behavior. Yet, this literature provides a strong conceptual foundation for understanding why, when, how, and for whom participation in service-learning will be associated with positive changes in prosocial identities—and, ultimately sustained participation in role-related prosocial behaviors. In this article, we connect these literatures and propose a model.

It is often suggested that nonprofit organizations positively impact our local communities. Studies, however, have consistently shown that the distribution of these organizations varies considerably from one community to the next. These differences have led some scholars to begin raising serious concern about the degree of "charitable equity" across communities. Thus, the purpose of this study was to explore how the makeup of a community's nonprofit sector affects the views of those who potentially depend on nonprofit services. Specifically, using data from a countywide survey of public attitudes toward nonprofits in southern California ( N = 1,002), we examined whether differences in the distribution of nonprofits affected individuals' confidence in nonprofit performance as well as their awareness of what nonprofit organizations even are. Findings indicated that nonprofit density was strongly related to awareness of the sector, while awareness was, in turn, strongly related to confidence in nonprofit performance.

Nonprofit organizations (NPOs) rely on multiple funding sources to meet organizational needs; and, heavy reliance on any one revenue source can limit an NPO's ability to allocate funding. As such, in this study, we examine the association between funding source and spending behavior in a national sample of NPOs from 2008 to 2012. Our sample consists of 51,812 observations from 16,035 unique NPOs. Using Tobit maximum likelihood estimation, we find that NPOs that rely on, both, restricted and nonrestricted revenue sources are more limited in their ability to spend on administrative needs, whereas donation income restricts personnel spending of compensation. Revenue diversification, though, can help NPOs overcome this limitation and can provide NPOs with greater spending flexibility. Our findings also show, however, that these results differ for NPO hospitals and universities.

Voluntary participation in local groups or organizations varies by individual and across communities. Few studies examine the influence of structural resources on voluntary participation, with prior studies often considering it a single, binary action. Drawing from three data sources, we examined the extent to which individual-level and community-level factors—including the presence of nonprofit organizations—were associated with voluntary participation. We model participation as two distinct actions and estimate the likelihood of respondents participating in one organization or group compared with the likelihood of participating in multiple organizations or groups. We found individual characteristics such as homeownership, marriage, and better health were associated with participation in only one group or organization. Identifying as White, having some college education, more children per household, and church attendance were positively associated with participating in one group or organization and subsequent participation. At the community level, nonprofit density was positively associated with voluntary participation.