Neighbourhood income inequality and property crime

Urban Studies ◽  
2016 ◽  
Vol 55 (1) ◽  
pp. 133-150 ◽  
Author(s):  
Neil Metz ◽  
Mariya Burdina

This paper examines the relationship between income inequality and property crime using Census block group data from three US cities: Nashville, TN, Portland, OR and Tucson, AZ. This paper is one of very few to examine this relationship at such a fine geographic level, which is typically less than one square mile in size. We find that income inequality across block groups plays a key role in determining the level of property crime. As the income gap with one’s poorest neighbouring block group widens, the level of property crime in the richer block group increases. Also, the poorest block group in an area tends to experience less property crime, holding all else constant.

2021 ◽  
pp. 135406882110119
Author(s):  
Matthew Polacko

Previous research into the relationship between income inequality and turnout inequality has produced mixed results, as consensus is lacking whether inequality reduces turnout for all income groups, low-income earners, or no one. Therefore, this paper builds on this literature by introducing supply-side logic, through the first individual-level test of the impact that income inequality (moderated by policy manifesto positions) has on turnout. It does so through multilevel logistic regressions utilizing mixed effects, on a sample of 30 advanced democracies in 102 elections from 1996 to 2016. It finds that higher levels of income inequality significantly reduce turnout and widen the turnout gap between rich and poor. However, it also finds that when party systems are more polarized, low-income earners are mobilized the greatest extent coupled with higher inequality, resulting in a significantly reduced income gap in turnout. The findings magnify the negative impacts income inequality can exert on political behavior and contribute to the study of policy offerings as a key moderating mechanism in the relationship.


2016 ◽  
Vol 26 (2) ◽  
pp. 157 ◽  
Author(s):  
Traci N. Bethea ◽  
Julie R. Palmer ◽  
Lynn Rosenberg ◽  
Yvette C. Cozier

<p><strong>Background</strong>: Neighborhood socioeconomic status (SES) is associated with adverse health outcomes, but longitudinal data among Black Americans, who tend to live in more deprived neighborhoods, is lacking. <br />Objectives: We prospectively assessed the relation of neighborhood SES to mortality in the Black Women’s Health Study.</p><p><strong>Design</strong>: A prospective cohort of 59,000 Black women was followed from 1995-2011. Participant addresses were geocoded and US Census block group was identified. Neighborhood SES was measured by a score based on US Census block group data for six indicators of income, education and<br />wealth.</p><p><strong>Main outcome measures:</strong> Deaths were identified through the National Death Index. Cox proportional hazard models were used to estimate hazard ratios (HRs) and 95% CIs with control for covariates.</p><p><strong>Results</strong>: Based on 2,598 deaths during 1995-2011, lower neighborhood SES was associated with increased all-cause and cancer mortality irrespective of individual education: among those with 16 or more years of education, HRs for lowest relative to highest neighborhood SES quartile were 1.42 (95% CI 1.18-1.71) for all-cause and 1.54 (95% CI 1.14-2.07) for cancer mortality. Neighborhood SES was associated with cardiovascular mortality among lesseducated women.</p><p><strong>Conclusions</strong>: Lower neighborhood SES is associated with greater risk of mortality among Black women. The presence of the association even among women with high levels of education suggests that individual<br />SES may not overcome the unfavorable influence of neighborhood deprivation. <em>Ethn Dis</em>. 2016;26(2):157-164; doi:10.18865/<br />ed.26.2.157</p>


Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 1954-1954
Author(s):  
James M. Foran ◽  
Laura A. McClure ◽  
Christina A. Clarke ◽  
Theresa H. M. Keegan

Abstract Abstract 1954 Poster Board I-977 Introduction: Despite advances in treatment and a well-characterized prognostic index, significant heterogeneity remains in DLBCL survival. Preliminary data suggest a potential survival disparity based on race/ethnicity or socioeconomic status (SES). To evaluate the impact of these and other variables on survival we performed an analysis in the ethnically diverse population-based California Cancer Registry (CCR). We utilized Neighborhood SES, an index of 7 census measures of education, income, occupation & cost of living, based on the residential census-block group at diagnosis. Each census-block group comprises ∼1500 residents. Neighborhood SES has been shown to be significantly associated with survival after Follicular Lymphoma (JCO 27:3044, 2009). Methods: All pts with DLBCL (ICD-O-3 codes 9680 & 9684) diagnosed from Jan 1988 to Dec 2007 and reported to CCR were included in the analysis, including n=16,892 diagnosed from 1988-2000, and n=11,916 from 2001-2007 (total study pop'n =28,808). HIV/AIDS pts were excluded, as were n=63 with Mediastinal LBCL & n=10 with primary effusion lymphoma. The mean age was 63 yrs, and the cohort was 53% male. Between time periods, there was a relative increase in Hispanic pts [15.4% (1988-2000) to 20.8% (2001-2007), p<0.001], and a 4% increase in advanced stage from 42% (1988-2000) to 46% (2001-2007) (p<0.001). Neighborhood SES was stratified into quintiles from lowest (SES-1) to highest (SES-5), the pt distribution was: SES-1, 14%; SES-2, 18%; SES-3, 21%; SES-4, 23%; and SES-5, 24%. To evaluate the impact of prognostic factors (particularly diagnosis period, SES, and race/ethnicity) on overall survival (OS) & disease-specific survival (DSS) we used Cox proportional hazards regression to calculate hazard ratios (HR) for death with 95% CI's. Multivariate regression models included variables significant at p<0.15 in univariate models or with a priori hypotheses for inclusion. Results are presented by stage at diagnosis [Localized/Regional (LocReg) vs. Advanced (ADV)]. Results: There was a significant improvement in OS in patients diagnosed after 2001 for both LocReg (HR 0.87, 95%CI 0.82-0.91, p<0.001) and ADV stage (HR 0.69, 95%CI 0.66-0.72, p<0.001), which correlates with the introduction of rituximab into therapy for DLBCL. As expected, age >60 years was associated with a significantly worse OS for LocReg (HR 3.06, 95%CI 2.90-3.24) and ADV stage (2.02, 95%CI 1.93-2.12). Females also had significantly better OS compared with males (Loc-Reg - HR 0.90, 95%CI 0.86-0.94; ADV - HR 0.89, 95%CI 0.85-0.93). There was no significant impact of race/ethnicity on survival with the exception of non-Hispanic Asian/Pacific Islanders (NH A/PI) with ADV stage, for whom OS was significantly inferior compared with whites (HR 1.18, 95%CI 1.09-1.27, p<0.001). Compared with the highest quintile (SES-5), there was a significant effect of lower neighborhood SES on OS and DSS (see Table). Conclusion: There has been a significant improvement in survival after DLBCL since 2001, but patients in the lowest SES-1 quintile have a 34% higher risk of death from any cause and 20% higher risk for death from lymphoma than those in the highest SES-5. In this model, race/ethnicity did not have a significant impact on survival with the exception of NH A/PI with ADV stage. Studies to understand and address these socioeconomic disparities are urgently required in order to extend the improvements in DLBCL survival more effectively. Disclosures: Foran: Genentech: Honoraria, Research Funding.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 979-980
Author(s):  
Jason Falvey ◽  
Erinn Hade ◽  
Steven Friedman ◽  
Rebecca Deng ◽  
Jasmine Travers

Abstract Severe socioeconomic disadvantage in neighborhoods where nursing homes (NH) are located may be an important contributor to disparities in resident quality of care. Disadvantaged neighborhoods may have undesirable attributes (e.g., poor public transit) that make it challenging to recruit and retain qualified staff. Lower NH staffing could subsequently leave residents vulnerable to adverse events. Thus, the purpose of this study was to evaluate whether NHs located in socioeconomically disadvantaged neighborhoods had lower healthcare provider staffing levels. We linked publicly available NH data geocoded at the Census block-group level with the Area Deprivation Index, a measure of neighborhood socioeconomic factors including poverty, employment, and housing quality (percentiles: 1-100). Consistent with prior literature on threshold effects of neighborhood poverty on outcomes, we characterized NHs as being located in a disadvantaged neighborhood if the census-block group ADI score was ≥85/100. We used generalized estimating equations clustered at the county level with fixed effects for state and rural location to evaluate relationships between ADI score and staffing. NHs located in socioeconomically disadvantaged neighborhoods had 12.1% lower levels of staffing for registered nurses (mean: 5.8 fewer hours/100 resident-days, 95% CI: 4.4-7.1 hours), 1.2% lower for certified nursing assistants (2.9 fewer hours/100 resident days; 95% CI 0.6-5.1 hours), 20% lower for physical therapists (1.4 fewer hours/100 resident-days; 95% CI 1.1-1.8 hours), and 19% lower for occupational therapists (1.3 fewer hours/100 resident-days; 95% CI 1.0-1.6 hours). These findings highlight disparities that could be targeted with policy interventions focused on recruiting and retaining staff in socioeconomically disadvantaged neighborhoods.


Author(s):  
Ivan T Wong ◽  
John L Worrall

Prior police decision-making research is limited by (1) its emphasis on individual and organizational predictors and (2) cross-sectional designs, which fail to account for the time-varying aspects of police activities and the factors explaining them. Using group-based trajectory modeling, this study tested the ability of social disorganization theory to explain arrest activity at the Census block group level in Dallas, Texas. Social disorganization variables helped predict certain arrest trajectories, but not all of them. Specifically, socio-economic status was significant in low and medium arrest trajectory groups. An interaction between racial heterogeneity and family disruption was also significant in the medium arrest trajectory group. Theoretical implications are discussed.


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