Opportunity Neighborhoods Research Articles

Pediatric Burn Unit Admission is Associated with School Holidays and Lower Home Childhood Opportunity Level.

Burn injury can have profound detrimental effects on quality of life and mental health of children. We collected demographics, burn etiology, burn date, and home zip code for pediatric patients admitted to our burn unit from 2016-2023. Age, burn date, and etiology of burn were used to assess temporal and mechanistic patterns of injury for pre-school-age and school-age children. Home zip code was used to determine each child's home Childhood Opportunity Index score, which is composed of sub-domains for Education, Health & Environment, and Social & Economic. We calculated the odds-ratio for odds of pediatric burn admission for each COI sub-domain quintile, using very high opportunity neighborhoods as the reference. Scald was the prevailing burn etiology (64%). In school-age children, July was the month with the most burn injuries (19%), attributable to firework injuries. School-age children were also more likely to be injured in a week without classroom instruction (p<0.001). There was a dose-response relationship between Childhood Opportunity Index and odds of burn admission, with the greatest odds of burn admission observed for children from very low educational opportunity areas (OR 5.21, 95% CI 3.67-7.39). These findings support interventions for burn prevention such as increased education about the dangers of fireworks, addressing inequities in access to childcare and extracurricular activities, and reducing the default water heater temperatures in multi-unit dwellings.

Neighborhood Child Opportunity and Preterm Birth Rates by Race and Ethnicity

In the US, infants born to non-Hispanic Black birthing parents are 50% more likely to be born preterm than those born to non-Hispanic White birthing parents, and individual-level factors do not fully account for this inequity. Neighborhood context, rooted in historic patterns of structural racism, may facilitate understanding patterns of inequity in preterm birth. To estimate the association between neighborhood opportunity level, measured by the Child Opportunity Index (COI), and preterm birth among infants in Massachusetts. In this cross-sectional, population-based study, Massachusetts birth certificates from 3 large metropolitan areas (Boston, Springfield, and Worcester) were linked to US Census tract-level data from the COI, and log binomial regression models and generalized estimating equations were fit to examine associations of different levels of opportunity with preterm birth. Singleton infants born in Massachusetts between February 1, 2011, and December 31, 2015, were included. Analyses were originally conducted in 2019 and updated in 2024. Level of child opportunity (measured by the COI) at the US Census tract level. Race and ethnicity were ascertained from the birth certificate, as reported by the birthing parent. Live birth before 37 completed weeks' gestation. The analytic dataset included 267 553 infants, of whom 18.9% were born to Hispanic, 10.1% to non-Hispanic Asian or Pacific Islander, 10.1% to non-Hispanic Black, and 61.0% to non-Hispanic White birthing parents. More than half of infants born to non-Hispanic Black and Hispanic birthing parents were born into very low opportunity neighborhoods, and in crude models, this was associated with greater prevalence of preterm birth relative to very high opportunity neighborhoods (prevalence ratio, 1.44; 95% CI, 1.37-1.52). After adjustment for covariates, infants born into very low opportunity neighborhoods still had a greater prevalence of preterm birth (prevalence ratio, 1.16; 95% CI, 1.10-1.23). In this cross-sectional study of neighborhood opportunity and preterm birth, elevated risk associated with exposure to a very low opportunity neighborhood, coupled with the disproportionate exposure by race and ethnicity, points to a modifiable factor that may contribute to racial and ethnic inequities in preterm birth. Future research should investigate interventions that seek to address neighborhood opportunity.

Social Determinants of Pediatric Primary Care Telehealth and In-Office Visits During the Severe Acute Respiratory Syndrome Coronavirus 2 Pandemic

ObjectiveTo describe the use of primary care telehealth following the rapid reduction of in-person pediatric primary care availability during the severe acute respiratory syndrome coronavirus 2 pandemic and how this varied by community-level social determinants and individual-level social needs. MethodsWe conducted a retrospective cohort study of children 0 to 17 years across 16 sites within Nationwide Children’s Hospital Primary Care Network from March 22 to July 31, 2020, and a preceding comparator period (2019). The study population includes 107,629 patient encounters. We compared visit type (in-person vs telehealth), demographics, presence of individual social needs, and community social determinants using the Child Opportunity Index 2.0 (COI). To assess telehealth utilization, we compared the ratio of 2019 to 2020 primary care visits across levels of COI. We trained a linear regression model predicting the number of telehealth encounters in 2020 using individual patient characteristics and COI. ResultsPatients in census tracts with high and very high levels of opportunity maintained the highest relative encounter volume (2020:2019) at the beginning of the pandemic (0.78 and 0.73, respectively, compared to 65% for children living in very low opportunity neighborhoods; P < 0.001). Patients with caregiver-reported social needs (housing, transportation, utilities, food) had relatively greater telehealth use following the start of the public health emergency. ConclusionsVolume of primary care visits decreased least for high and very high-opportunity neighborhoods yet individual social needs were associated with higher relative use of telemedicine. Findings suggest that telehealth was an important modality to deliver care to children with social needs but does not overcome community-level barriers.

Association between social determinants of health and pediatric traumatic brain injury outcomes.

Social determinants of health (SDH) are factors that may impact outcomes following pediatric traumatic brain injuries (TBI). The purpose of this study was to investigate the relationship between race and functional outcomes in a diverse pediatric population. We further explored how this association may be modified by SDH factors, including insurance status, social vulnerability, and child opportunity. A cohort study (N = 401) of children aged 0-18 [median = 9.22 years (IQR: 3.56-13.59)] presenting to the Emergency Department at Level I and II Trauma Centers with mild to severe head injuries. Geocoded variables were used to evaluate SDH. The sample was described overall and by racial/ethnic group, which were adjusted for confounders using inverse propensity treatment weights (IPTW). Weighted and unweighted Firth logistic regression models (mortality) and generalized linear regression models (GOS-E scores) were reported without and then with potential effect modifiers. The sample is majority male (65.84%); race/ethnicity are as follows: White (52.37%), Black/African Americans (35.91%), and Hispanic (11.72%). Black (31.25%) and Hispanic (27.66%) patients had higher rates of severe TBI. 35.89% of White patients were categorized as more socially vulnerable compared to 62.68% Black and 70.21% Hispanic patients. A total 63.64% of White patients were from higher opportunity neighborhoods, compared to 25.87% of Black and 51.06% of Hispanic patients. A total 50.95% of White patients, 25.87% of Black patients, and 17.02% of Hispanic patients were privately insured. There were no differences found between racial and ethnic groups on mortality or GOS-E scores. Patients from minority backgrounds had more severe injuries, many resulting from pedestrian vs. motor vehicle accidents. Additionally, patients from minority backgrounds experience more social vulnerability and lower opportunity. Despite these discrepancies, we did not observe differences on rates of mortality or functional outcomes in either racial or ethnic groups. SDH were not found to impact outcomes. Further research is needed to determine how these complex social and environmental variables impact health outcomes.

Does the Low-Income Housing Tax Credit Program Expand Access to Opportunity Neighborhoods? Tracking Movements of Low-Income Tenants in California

The Low-Income Housing Tax Credit (LIHTC) program can potentially help expand access to neighborhoods with low poverty and economic opportunities for low-income households. Prior studies described that LIHTC units are in neighborhoods with relatively high poverty, but with improvements in recent years. Beyond cross-sectional analyses, scholars have not extensively looked at the movements of tenants. It remains unclear whether the program creates opportunities for low-income households to move into better neighborhoods than they previously lived in or reinforces segregation by encouraging moves to similarly or more disadvantaged neighborhoods. Using an extensive consumer database, I am tracking the movements of households who move into new LIHTC properties in California. The experimental findings show that residents experience, on average, increases in poverty exposure by up to six percentage points over other moved low-income renters. Tenants see lower levels of neighborhood amenities than at their previous addresses. The construction of LIHTC housing can increase the chance of households moving into minority-concentrated areas.

Association of Neighborhood Opportunity With Severity of Retinoblastoma at Presentation

PurposeTo examine the relationship between the Child Opportunity Index (COI) and severity of retinoblastoma at presentation. DesignCross-sectional study. MethodsChildren (age <18 years) treated for retinoblastoma at a tertiary care center between January 2000 and May 2023 were included. Residential census tract was used to determine the overall and domain-specific COI score for each child. Collected variables included age, sex, race/ethnicity, insurance type, and the International Classification of Retinoblastoma (ICRB) Group at initial examination. The primary outcome was Group D or E retinoblastoma at presentation. Mixed effects regression models were used to estimate the association of COI scores with disease severity at presentation. ResultsThis study included 125 children (51.2% male). Median age at diagnosis was 13 months (IQR, 5-24 months). 109 (87.2%) of children presented with Group D or E retinoblastoma and 33 (26.4%) resided in low or very low opportunity neighborhoods. Children residing in neighborhoods with low overall COI scores (OR, 1.62; 95% CI, 1.01-2.58; p=0.044) and low education COI scores (OR, 1.77; 95% CI, 1.13-2.79; p=0.013) were at increased odds of presenting with ICRB Group D or E retinoblastoma after adjusting for individual-level socioeconomic factors. ConclusionChildren residing in low opportunity neighborhoods – particularly low education opportunity – more often presented with advanced stage retinoblastoma than children residing in neighborhoods with higher opportunity scores. Efforts to improve preventative vision care and access to eye specialty care for children residing in low-resource areas are needed to reduce existing disparities in retinoblastoma.

Cumulative Health Vulnerabilities Among Adolescents by Age and Neighborhood Opportunity.

Early detection of health vulnerabilities in adolescents is integral to promoting healthy behaviors into adulthood. Our objective was to quantify the prevalence of health vulnerabilities among adolescents and examine differences by age and neighborhood opportunity. In a cross-sectional analysis of electronic health record data for adolescents aged 13 to 18 years with preventive visits in a large pediatric primary care network between September 2021 and September 2022, we examined 5 health vulnerabilities: Tobacco use, substance use, firearm access, condomless intercourse, and depressive symptoms. Health vulnerabilities were assessed via self-reported adolescent health questionnaire and the validated Patient Health Questionnaire-Modified. Prevalence of health vulnerabilities were calculated alone and in combination, and compared by age and by quintile of neighborhood Child Opportunity Index (COI) score. Multivariable logistic regression estimated associations of neighborhood COI with reporting ≥2 health vulnerabilities. Among 40 197 adolescents (57.7% aged 13-15 years, 66.3% living in "high"/"very high" COI neighborhoods), 29.7% reported at least 1 health vulnerability and 7.9% reported ≥2 vulnerabilities. Cumulative health vulnerabilities were more prevalent among older adolescents and adolescents from lower opportunity neighborhoods. In adjusted models, lower COI was associated with 65% higher odds of having ≥2 vulnerabilities (odds ratio 1.65, 95% confidence interval 1.43-1.91) compared with adolescents from the highest COI quintile. Understanding the relationship between health vulnerabilities and neighborhood opportunities among adolescents may allow pediatric primary care providers and health systems to offer more tailored community support services and transdiagnostic specialized care navigation to address the health needs of teens with multiple vulnerabilities.

4 Educational and Social/Economic Opportunity Associated with IQ in DC Metro Children

Objective:Social determinants of health (SDOH) are social conditions (e.g., employment, access to healthcare, quality schools) which are shown by a growing body of literature to impact many health outcomes, including cognition. The development of community-level measures including the Child Opportunity Index (COI) have allowed for increased understanding of the resources and conditions in neighborhoods and their impact on children’s health. Given the limited existing research on how neighborhood factors impact cognitive development, this study aimed to examine associations between neighborhood context (COI) and cognitive outcomes in children and adolescents who presented for neuropsychological evaluations.Participants and Methods:Participants included 4,633 youth (ages 2-22; M = 10.8 years; SD = 4.1 years; 63% Male; 33% with a medical condition involving the central nervous system [CNS]) living in the DC-VA-MD-WV Metro Area who presented to an outpatient clinic for evaluation and completed an intellectual functioning (IQ) measure (88% Weschler, 11% DAS, &lt;1% Leiter, &lt;1% RIAS). COI values were extracted from electronic medical records based on home address. COI values include an overall index and three domain scores in educational (educational access, quality, and outcomes), health/environment (access to healthy food, healthcare, and greenspace) and social/economic (income, employment, poverty); higher scores indicate higher opportunity. Using metro-based norms, children from all opportunity levels were represented (14% Very Low, 13% Low, 18% Moderate, 21% High, 34% Very High). Multiple regression analyses were conducted to examine main effect associations between COI and Full-Scale IQ (FSIQ), Verbal IQ (VIQ), and Non-Verbal IQ (NVIQ) and explore moderation of age, gender, and medical condition on these associations. Additional regression analyses examined these relationships for the three COI domains.Results:Controlling for age, gender, and medical condition, neighborhood opportunity was positively associated with cognitive function (FSIQ: ß=0.198; VIQ: ß=0.202; NVIQ: ß=0.148, p’s &lt;0.01). Models accounted for approximately 10-14% percent of the variance in cognitive outcomes (FSIQ: F[6,4476]=180.331), Adj.R2=0.138; VIQ: F[6,4556]=161.931), Adj.R2=0.124; NVIQ: F[6,4548]=123.893), Adj.R2=0.098). Age moderated the association between overall COI and cognitive outcomes (FSIQ: ß=0.005, p=0.018; VIQ: ß=0.005, p=0.043; NVIQ: ß=0.005, p&lt;0.01) such that the association between neighborhood opportunity and cognitive outcomes was stronger at older ages, though this was a small effect. When examining subdomains of COI, cognitive outcomes were associated with educational (FSIQ: ß=0.094; VIQ: ß=0.099; NVIQ: ß=0.078, p’s &lt;0.01) and social/economic opportunity (FSIQ: ß=0.115; VIQ: B=0.121; NVIQ: ß=0.084, p’s &lt;0.01) but not health/environmental opportunity (FSIQ: ß=-0.001, p=0.991; VIQ: ß=-0.008, p=0.581; NVIQ: ß=-0.008, p=0.553). Medical diagnosis moderated the association between social/economic opportunity and FSIQ; there was a stronger association between IQ and COI in youth with a medical diagnosis (ß=-0.071, p&lt;0.05).Conclusions:These findings demonstrate the importance of neighborhood factors, especially education and social/economic opportunities, on cognitive development. Children living in higher opportunity neighborhoods showed higher cognitive functioning. Older age and CNS-involved medical conditions were associated with higher risk in the context of reduced neighborhood opportunities. These findings emphasize the need for advocacy and other efforts to improve community resources (e.g., access to early childhood education) to address inequities in cognitive development.

Longitudinal associations between neighborhood child opportunity and physical fitness for New York City public school youth.

Neighborhood environments can support fitness-promoting behavior; yet, little is known about their influence on youth physical fitness outcomes over time. We examined longitudinal associations between neighborhood opportunity and youth physical fitness among NYC public school youth. The Child Opportunity Index (COI), a composite index of 29 indicators measuring neighborhood opportunity at the census tract-level, along with scores on four selected COI indicators were linked to NYC FITNESSGRAM youth at baseline. Fitness outcomes (measured annually, 2011 - 2018) included BMI, curl-ups, push-ups, and PACER laps. Unstratified and age-stratified adjusted three-level generalized liner mixed models, nested by census tract and time, estimated the association between COI and fitness outcomes. The analytic sample (n=204,939) lived in very low (41%) or low (30%) opportunity neighborhoods. Unstratified models indicate that overall COI is modestly associated with improved youth physical fitness outcomes. The strongest opportunity-fitness associations were observed for PACER. Stratified models show differences in associations across younger vs. older youth. We find that neighborhood factors are associated with youth fitness outcomes over time, with the strength of the associations dependent on age. Future implications include better informed place-based interventions tailored to specific life stages to promote youth health.

Neighborhood Opportunity and Mortality Among Children and Adults in Their Households.

Research has linked neighborhood opportunity to health outcomes in children and adults; however, few studies have examined neighborhood opportunity and mortality risk among children and their caregivers. The objective of this study was to assess associations of neighborhood opportunity and mortality risk in children and their caregivers over 11 years. Participants included 1 025 000 children drawn from the Mortality Disparities in American Communities study, a cohort developed by linking the 2008 American Community Survey to the National Death Index and followed for 11 years. Neighborhood opportunity was measured using the Child Opportunity Index, a measure designed to capture compounding inequities in access to opportunities for health. Using hazard models, we observed inverse associations between Child Opportunity Index quintile and deaths among child and caregivers. Children in very low opportunity neighborhoods at baseline had 1.30 times the risk of dying over follow-up relative to those in very high opportunity neighborhoods (95% confidence interval [CI], 1.15-1.45), and this excess risk attenuated after adjustment for household characteristics (hazard ratio, 1.15; 95% CI, 0.98-1.34). Similarly, children in very low opportunity neighborhoods had 1.57 times the risk of experiencing the death of a caregiver relative to those in very high opportunity neighborhoods (95% CI, 1.50-1.64), which remained after adjustment (hazard ratio, 1.30; 95% CI, 1.23-1.38). Our analyses advance understanding of the adverse consequences of inequitable neighborhood contexts for child well-being and underscore the potential importance of place-based policies for reducing disparities in child and caregiver mortality.

Association of Neighborhood Child Opportunity Index with presenting visual acuity in amblyopic children

To demonstrate the use of a novel measure of neighborhood quality, the Child Opportunity Index (COI), for investigating health disparities in pediatric ophthalmology. This study included children 2-12 years of age from a registry of patients diagnosed with amblyopia at an urban pediatric hospital between 2010 and 2014. Children previously treated for amblyopia were excluded. Patient demographics, residential addresses, and logMAR visual acuities were collected. The association between visual acuity at presentation and COI was examined using linear mixed-effects models adjusting for individual-level factors, including age, sex, race, ethnicity, and insurance type. This study included 1,050 amblyopic children, of whom 317 (37%) were non-White and 149 (19%) were Hispanic; 461 (44%) had public insurance. Regarding residence, 129 (12%) lived in areas of very low opportunity (COI <20); 489 (47%) in areas of very high opportunity (COI ≥80). Children residing in the lowest opportunity neighborhoods correctly identified approximately two fewer letters at presentation with their better-seeing eye compared with children from the highest opportunity neighborhoods after adjusting for individual-level factors (-0.0090 logMAR per 20 unit increase in COI; 95% CI, -0.0172 to -0.0008; P = 0.031). No difference was appreciated in the worse-seeing eye. Amblyopic children residing in communities with low neighborhood opportunity had slightly worse visual acuity in the better-seeing eye at presentation. Although statistically significant in the better-seeing eye, the two-letter difference attributable to neighborhood environment may not be clinically significant, and the impact of this disparity on treatment outcomes deserves further investigation.

619: THE IMPACT OF NEIGHBORHOOD FACTORS ON PATIENT DISEASE SEVERITY ON PRESENTATION TO THE PICU

Introduction: Health disparities yield worse health outcomes for critically ill patients. Neighborhoods capture social and physical attributes experienced by residents. Increasingly, neighborhood-level geographic variations in health disparities have been reported. Individuals are commonly clustered into neighborhoods based on socioeconomic status. The impact of sociodemographic factors on outcomes for PICU patients is understudied. Few studies delve into the specific neighborhood characteristics affecting disease severity on PICU admission. To address this gap, we conducted a retrospective study exploring the association between geography and disease severity on PICU presentation, with sociodemographic neighborhood data and clinical data as additional predictors. We anticipate patients with higher disease severity will be clustered in low opportunity neighborhoods. Methods: Electronic medical record patient data were collected for non-elective admissions to the PICU from Jan 2013 to Dec 2019. The peak Pediatric Logistic Organ Dysfunction-2 (PELOD-2) score for the first 72 hours of admission was calculated for each encounter. Addresses were geocoded into census tracts. The Childhood Opportunity Index (COI), Social Vulnerability Index (SVI), and Neighborhood Disorder Index (NDI) were matched to each census tract. We report descriptive analyses, Spearman correlation coefficients for continuous variables, and Kruskal-Wallis test results for categorical variables. Results: There were 8497 unique patient encounters for 5874 distinct patients. Data were skewed right with a PELOD-2 score mean of 3.2 and median of 3.0. There was no correlation between the SVI (p=0.129), COI (p=0.957) or NDI (p=0.363) and peak PELOD-2 score. There was a correlation between age (rho 0.102, p< 0.001) and number of comorbidities (rho 0.373, p< 0.001) and peak PELOD-2 scores. There was a difference between median PELOD-2 scores for varying races and insurance types (p< 0.001). Conclusions: There was no association between neighborhood resources and peak PELOD-2 scores; however, there was a difference in mean PELOD-2 scores across varying races and insurance types. This indicates a need for more analyses to evaluate the association between neighborhood indices and peak PELOD-2 scores when accounting for other sociodemographic variables.

Measuring and mapping neighborhood opportunity: A comparison of opportunity indices in California

Backed by decades of empirical research, there has been increasing acknowledgment in policy, practice and research of the importance of neighborhood opportunity in shaping well-being. This has led to the proliferation of opportunity maps in cities throughout the United States with the purpose of identifying low opportunity neighborhoods in need of investment and intervention and high opportunity neighborhoods that can offer access to resources and amenities to disadvantaged population groups. By explicitly linking investment to the identification of neighborhoods that are high or low in opportunity, opportunity indices have the potential to help transform local and regional landscapes of spatial inequality. Despite this common goal, indices rely on varying theoretical conceptualizations, data, variables, and statistical approaches. How much these opportunity definitions overlap has yet to be fully examined. In this study, we compared five approaches to measuring neighborhood opportunity in California. We found low to moderate overlap across the indices, with disagreement higher for low opportunity designations. As with any quantitative analysis, opportunity mapping is not a purely technical exercise and requires a series of subjective decisions. The only way to validate these decisions is for opportunity measures to be constructed transparently and vetted by the research community. This study is a first step in this process.

Predatory Inclusion in the Market for Rental Housing: A Multicity Empirical Test

Using a unique data set of millions of advertisements for rental housing and data on the geographic distribution of housing voucher holders, we examine the limits of housing market policies that rely on private-market landlords to meet public needs. We find that although advertised affordable housing is more prevalent in some zip codes than others, voucher households are more geographically clustered than affordable housing. Moreover, voucher holders are overly concentrated in “lower opportunity” zip codes, those with fewer resources for children’s well-being, despite the advertisement of affordable housing in higher opportunity neighborhoods. Using text-analysis techniques, we identify advertisements that explicitly accept or reject voucher holders and find that ads seeking voucher-holding tenants are overrepresented in lower opportunity neighborhoods. We evaluate the significance of these findings for theories of predatory inclusion.

Landlords and access to opportunity

A family can use a housing voucher to move to opportunity only if a landlord in an opportunity neighborhood accepts the voucher. Most landlords in opportunity neighborhoods, though, avoid voucher tenants. We examine a policy change that increases voucher rental payment limits only in high-rent neighborhoods. While the policy induces some new voucher holders to move into high-rent neighborhoods, most landlords do not change their screening behavior in response to the policy. Those landlords who do respond are few and operate at a surprisingly small scale. A sustainable policy of moving to opportunity requires more direct engagement with landlords.

The Racial Wealth Gap and Access to Opportunity Neighborhoods

Some Black households live in neighborhoods with lower incomes, as well as higher unemployment rates and lower educational attainment, than their own incomes might suggest, and this may impede their economic mobility. We investigate reasons for the neighborhood sorting patterns we observe and find that differences in financial factors such as income, wealth, or housing costs between Black and white households do not explain racial distributions across neighborhoods. Our findings suggest other factors are at work, including discrimination in the housing market, ongoing racial hostility, or preferences by Black households for the strength of social networks or other neighborhood amenities that some lower-socioeconomic locations provide.

Does pre-purchase counseling help low-income buyers choose and sustain homeownership in socially mixed destination neighborhoods?

ABSTRACT For 3 decades, U.S. federal housing policies have sought to increase access to socially diverse and high opportunity neighborhoods and improve the quality of life for low-income families. Absent from current discussions of the costs and benefits of socially mixed communities is the potential value that they may have to low-income families seeking to purchase their own homes. In this paper, we examine the extent to which participation in homebuyer education and counseling programs supports sustainable low-income homeownership in socially mixed neighborhoods. Using quasi-experimental methodologies and longitudinal data from the Denver Housing Study for a sample of 533 low-income homebuyers, this study examines whether, compared with a comparison group of public housing residents who purchased homes on their own, participants in Denver Housing Authority’s (DHA) homebuyer education and counseling program (HOP) were (1) more likely to purchase homes in socially mixed destination neighborhoods; and (2) sustain homeownership over time. Results show that low-income homebuyers purchased homes in destination neighborhoods characterized by considerable ethnic and income mix. When compared to non-HOP homebuyers, HOP homebuyers also were better off in terms of 2018 home value appreciation and fewer foreclosures, suggesting that homebuyer education and counseling improves long-term sustainability of homeownership.

The LIHTC Program, Racially/Ethnically Concentrated Areas of Poverty, and High-Opportunity Neighborhoods

The Low-Income Housing Tax Credit (“LIHTC”) program remains the na- tion’s largest affordable housing production program. LIHTC units are under-represented in the neighborhoods that both promote movement to high- opportunity neighborhoods and affirmatively further fair housing. State and local officials should play an active role in guiding site selection decisions and ensuring that LIHTC developments are located in a manner that affirmatively furthers fair housing. Planners can use newly available data discussed herein to identify high-opportunity tracts.

Neighborhood Opportunity and Satisfaction Among Housing Choice Voucher Recipients: A Subjective Well-Being Perspective

ABSTRACT This study analyzes how different neighborhood opportunity characteristics are associated with Housing Choice Voucher recipients’ subjective well-being, as measured by neighborhood satisfaction. We focus on this topic because subjective well-being is linked to a variety of important outcomes, such as health, productivity, and social relationships. Thus, a complete understanding of how opportunity neighborhoods impact low-income households’ lives requires consideration of subjective well-being. Relying on a sample of Housing Choice Voucher recipients living in Charlotte, North Carolina, we find that neighborhood opportunity indicators are not strong predictors of neighborhood satisfaction after controlling for perceptions of neighborhood conditions and household composition. This result suggests that mobility to opportunity neighborhoods may not result in corresponding increases in neighborhood satisfaction and, thus, subjective well-being.

Section 8 Vouchers and Rent Limits: Do Small Area Fair Market Rent Limits Increase Access to Opportunity Neighborhoods? An Early Evaluation

ABSTRACTOne critique of the U.S. Department of Housing and Urban Development (HUD)’s Housing Choice Voucher program is that its maximum rent limit is set at the metropolitan level, making more expensive neighborhoods effectively off limits to households who receive rental assistance. As a result, the design of the program limits a voucher household’s access to opportunity neighborhood. In response, HUD created the Small Area Fair Market Rent (SAFMR) demonstration program, which calculates the maximum voucher rent at the zip code level so that HUD’s rent limits more closely align with local neighborhood rents. In theory, this program should improve a voucher household’s choice set and location outcomes. Looking at changes in the location of beneficiaries in the six sites that participated in the SAFMR demonstration program, we find a significant amount of regional variation in the results. Specifically, introduction of the SAFMR rent calculations results in voucher households living in higher opportunity neighborhoods in Dallas, Texas, in lower opportunity neighborhoods in Chattanooga, Tennessee, and mixed effects in other areas. These mixed results highlight some of the potential incremental benefits of the program and reinforce the importance of viewing this policy over a longer period of time, and in the context of other constraints voucher households face in accessing neighborhood opportunity.