The Effects of Length of Residence and Exposure to Violence on Perceptions of Neighborhood Safety in an Urban Sample

Abstract

Perceptions of neighborhood safety shape the well-being of individuals and communities, affecting neighborhood walkability, associated physical activity behaviors, and health conditions. However, less is known about the factors that determine perceptions of safety. One factor that may affect perceptions of neighborhood safety is the length of time someone has lived in their neighborhood. We use a representative, adult sample of urban low-income residents from the 2015 New Haven Health Survey (n = 1189) to investigate the associations between length of residence (new residents of < 1 year in neighborhood versus longer-term residents of 1 or more years in neighborhood) and perceptions of neighborhood safety (whether feeling unsafe to walk at night). We then examine the potential moderating effect of exposure to neighborhood violence on these associations. We find that the association between length of residence and perceived safety differs by exposure to neighborhood violence. Among those unexposed to neighborhood violence, longer-term neighborhood residents were more likely to feel unsafe compared to new residents (OR = 2.03, 95% CI 1.19, 3.45). Additionally, the effect of exposure to violence on feelings of safety was larger for new residents (OR = 9.10, 95% CI 2.72, 30.44) compared to longer-term residents (OR = 1.88, 95% CI 1.28, 2.77). Our findings suggest that length of residence may have implications for feelings of safety, and that experiences of violence may uniquely contribute to feelings of unsafety among new residents. These findings hold implications for interventions and policy efforts aimed at neighborhood safety improvements through community development, housing, or city urban planning initiatives, particularly for new neighborhood residents or those who experience neighborhood violence.

Introduction

A breadth of literature describes the effects of perceived neighborhood safety on the well-being of individuals and communities. In particular, research finds that perceived safety is an important determinant of neighborhood walkability [1, 2], consequent physical activity and exercise [3–6], and health conditions [7–9] particularly in urban environments [10, 11]. Indeed, feeling unsafe in one’s neighborhood is associated with increased risk of overweight status and obesity in children and adolescents [12, 13], in turn affecting risks of related health conditions such as cardiovascular disease [14, 15]. Perceptions of one’s neighborhood as unsafe are also linked with adverse mental health outcomes including emotional disorders [16], psychological distress such as depression and anxiety [17], and overall self-rated health [18, 19].

While research has demonstrated the importance of perceived neighborhood safety for health, there is less evidence of the factors that influence perceptions of safety. Previous studies suggest that perceptions of safety are affected not only by the built environment [20–22] and actual crime levels [23–25] but also by many indirect, multidimensional factors particularly in urban neighborhoods [26, 27]. One factor that may affect perceptions of neighborhood safety is the length of time someone has lived in their neighborhood. Literature indicates that length of residence is an important determinant of how people relate to their neighborhood [28, 29]. High residential turnover rates weaken community attachment [30, 31], while longer length of residence leads to the development of neighborhood social ties [32–34] and civic engagement [35, 36] which may increase feelings of safety. Additionally, longer-term residence may provide confidence in navigating neighborhood risks [37]. In this way, longer-term residents may feel safer in their neighborhood, compared to new residents.

While longer-term residence may lead to increased feelings of safety, conversely, longer residence in a neighborhood may increase awareness of actual neighborhood risks. Exposure to violence is linked to perceptions of safety [38–41] and may also be tied to length of neighborhood residence. Owing to their greater opportunity for exposure, longer-term residents are more likely to have experienced neighborhood violence. Thus, in neighborhoods with more risk of exposure to violence, longer-term residence may be associated with perceptions of neighborhoods as unsafe.

Although the effects of length of residence, perceptions of safety, and exposure to violence have all been discussed separately, the mechanisms of how these factors together affect neighborhood health are not well understood. In this paper, we examine the associations between length of residence and perceptions of safety while considering neighborhood violence exposure in an urban, adult sample. We hypothesize that new residents may be more likely to perceive their neighborhoods as unsafe compared to longer-term residents, and the protective effect of longer residence on perceived safety will be stronger among those exposed to neighborhood violence compared to those without this exposure. We test our hypotheses using data from a neighborhood survey conducted among urban adults (n = 1189) residing in six low-income neighborhoods of New Haven, CT.

Methods

Procedures

Data for this study came from the 2015 New Haven Health Survey, a sample of 1189 adults surveyed on measures of health, civic engagement, and social-behavioral attributes. Data were weighted to account for lack of household-level randomization and probability of selection for participation, and multiple imputation (m = 5) assigned missing data for age, gender, number of adults per housing unit, and number of units within each address [42]. Post-stratification weights for data weighted each sample response up to the neighborhood populations per 2010 US decennial census data for age and gender, which provided estimated responses from all 29,675 residents of the 6 neighborhoods sampled aged 18 to 65 years. All results are weighted as indicated.

Participants and Sampling

Households of the six lowest-income neighborhoods in New Haven were randomly selected to participate based on a citywide list of residential addresses, stratified by neighborhood using a population-based research design. The six neighborhoods had similar overall income distributions, with majority of households in each neighborhood earning less than $30,000 in annual income. Less than 4% of households in each neighborhood reported earning more than $100,000 a year. One resident aged 18–65 years per household was interviewed face-to-face by trained community surveyors [43], with a 64% household participation rate [42]. Detailed information on the 2015 New Haven Health Survey is reported elsewhere [42].

Measures

Perception of Safety

Given our interest in resident perceptions, perception of safety within one’s neighborhood was the primary outcome. Individuals responded to the statement “I feel unsafe to go on walks in my neighborhood at night” on a 4-point scale. This measure was dichotomized with “Strongly disagree” or “Somewhat disagree” as a “no” response, and “Somewhat agree” or “Strongly agree” as a “yes” response. This measure and other neighborhood health questions were based on the Physical Activity Neighborhood Environment Survey, previously assessed for reliability and validity [44].

Length of Residence

Length of residence was assessed as the primary independent variable. Individuals responded to the statement “How long have you lived in this neighborhood” on a 6-point scale (< 1 year, 1, 2, 3, 4, or 5 or more years) [44]. In order to examine the effect of being a new resident in one’s neighborhood, we dichotomized this measure to compare “< 1 year” of residence in neighborhood as “new residents” with all other lengths of residence (1 year or more) as “longer-term residents.”

Exposure to Violence

Due to our interest in the larger population exposed to neighborhood violence, rather than those who experienced violence personally, exposure to violence was assessed by yes or no responses to the statement “Have any of your family members or close friends been hurt by a violent act in your neighborhood?” Exposure to violence items created by the Project on Human Development in Chicago Neighborhoods [45] were pilot tested and incorporated into the 2015 New Haven Health Survey specific to neighborhood of respondent [46]. Prior neighborhood health studies have employed similar measures of indirect exposure to violence such as family or friends’ exposure to violence [47, 48].

Covariates

Self-reported demographic and living characteristics (gender, age, race, US-born status, marital status, presence of children in household, highest education level attained, yearly household income, employment status, type of residence) were considered as covariates. Categorizations are noted in Table 1.

Table 1.

Description of the Sample, by Length of Residence in Neighborhood, Weighted Column %^a

Characteristic	Unweighted n (total =1189)	Weighted n (%) (total =29 675)	New Residents <1 year (col%) (n=4917b)	Longer Term Residents ≥ 1 year (col%) (n=24 758b)	p *
Gender					0.455
Male Female	416 773	14 337 (48.3) 15 337 (51.7)	44.1 55.9	49.1 50.9
Age (years)					0.049
18-24 25-34 35-44 45-54 55-65	138 282 209 267 291	6297 (21.2) 7896 (26.6) 5988 (20.2) 4950 (16.7) 4537 (15.3)	32.2 32.5 14.2 10.4 10.6	19.1 25.4 21.4 17.9 16.2
Race					0.025
Non-Hispanic White Non-Hispanic Black Hispanic/Latino Non-Hispanic other or multiracial	128 718 267 72	3924 (13.3) 14 478 (48.9) 9434 (31.9) 1766 (6.0)	25.2 36.1 32.5 6.2	10.9 51.5 31.7 5.9
U.S. Born					0.927
Yes No	1081 107	26 039 (87.8) 3634 (12.3)	87.5 12.6	87.8 12.2
Marital status, n (%)					0.012
Never married Married or cohabiting Separated, Divorced, or Widowed	625 376 180	16 674 (56.8) 9370 (31.9) 3286 (11.2)	70.9 19.1 10.0	54.1 34.5 11.4
Children in Household					0.003
Yes No	613 572	16 339 (55.4) 13 139 (44.6)	38.3 61.7	58.8 41.2
Education					0.252
< High school degree High school degree or GED Some college/Associate’s degree Bachelor’s degree or more	166 480 377 164	4642 (15.7) 12 150 (41.0) 9600 (32.4) 3242 (10.9)	22.8 33.3 30.0 13.9	14.2 42.5 32.9 10.4
Household Income, $					0.287
<15 000 15 000- <30 000 30 000- <50 000 ≥ 50 000	388 383 202 156	10 520 (36.8) 9777 (34.2) 4995 (17.5) 3281 (11.5)	41.5 36.5 16.6 5.4	35.9 33.8 17.7 12.7
Employment Status					0.121
Unemployed Employed Not in labor force	131 677 373	3679 (12.4) 17 979 (60.8) 7894 (26.7)	16.9 47.6 35.5	11.6 63.4 25.0
Type of Residence					0.034
Own Rent Live w/ family, friends, or other	260 777 147	3649 (12.3) 20 476 (69.3) 5422 (18.3)	2.9 71.8 25.3	14.2 68.8 17.0
Family/friends hurt by neighborhood violence					0.093
Yes No	318 868	8462 (28.6) 21 115 (71.4)	19.6 80.4	30.4 69.6

^*p value for analysis of second order χ² test with finite population correction

^aColumn percentages may not sum to 100% due to rounding

^bWeighted n

Statistical Analysis

We conducted all statistical analysis using SAS 9.4 software. In all analyses, significance was assessed at p < 0.05, and a finite population correction and a neighborhood stratification variable were applied to account for design effect. We conducted simple univariate and bivariate analyses using the SURVEYFREQ procedure with the main predictor of interest, length of residence in one’s neighborhood (new residents < 1 year), to describe the study sample by demographic and living characteristics. Bivariate analyses using the same procedure were conducted with the main outcome of interest, perception of safety (feeling unsafe to walk at night in neighborhood). We assessed second-order χ²s for statistical significance in all bivariate associations, and odds ratios were calculated.

Utilizing the SURVEYLOGISTIC procedure to model survey data responses and incorporate the sample design, we performed multivariable logistic regression to estimate odds ratios and examine associations between length of residence and perceptions of neighborhood safety. We controlled for demographic and living characteristics including age, race, marital status, education level, yearly household income, employment status, and type of residence. We used the change in beta approach to identify covariates for inclusion in the final model, assessing a 10% or greater change in logistic regression parameter estimate when potential covariates were added into model. Potential covariates not meeting the change in beta approach but exhibiting non-linear trends with variables of interest were included in the final model, as these covariates still showed an association with variables of interest.

To determine whether exposure to neighborhood violence moderated the associations between length of residence and perceptions of safety, an interaction term for exposure to violence was added to the multivariable logistic regression model. We conducted stratified multivariable logistic regression to examine differential associations between length of residence and perceptions of safety by exposure to violence, controlling for demographic and living characteristics. We also used this method to investigate associations between exposure to violence and perceptions of safety by length of residence, controlling for demographic and living characteristics.

Results

Demographic and Living Characteristics

Table 1 shows the demographic and living characteristics of the sample of 1189 residents weighted by gender and age, stratified by length of residence (new residents as < 1 year, longer-term residents as 1 year or more). Of the total weighted sample, 51.7% identified as female, 48.9% identified as non-Hispanic Black, with the majority of the sample being US-born (87.8%). The majority were under 55 years of age (84.7%), never married (56.8%), living with children (55.4%), and currently employed (60.8%). Of the sample, 36.8% reported a yearly household income of less than $15,000. New residents were younger compared to longer-term residents (p = 0.049) and less likely to be non-Hispanic Black compared to longer-term residents (36.1% versus 51.5%) (p = 0.025). New residents were more likely to have never married compared to longer-term residents (70.9% versus 54.1%) (p = 0.012) and were less likely to be living with children compared to longer-term residents (38.3% versus 58.8%) (p = 0.003). There were no significant differences by length of residence for gender, US-born status, education level, household income, employment status, and having a family or close friends hurt by neighborhood violence (p < 0.05).

Associations of Participant Characteristics with Perceptions of Safety

Table 2 provides the unadjusted associations between study variables and perceptions of feeling unsafe walking in one’s neighborhood at night. Among new residents, 50.0% reported feeling unsafe walking at night compared to 56.0% of longer-term residents, although difference was not statistically significant. Participants not born in the US were more likely to feel unsafe walking in their neighborhood at night compared to US-born participants (73.6% versus 52.4%) (p = 0.016). Those who had family or close friends hurt by violence in their neighborhood were more likely to feel unsafe at night relative to those who did not experience exposure to this violence (68.1% versus 49.9%) (p < 0.001). There were no significant differences in perceptions of safety by gender and age.

Table 2.

Unadjusted associations between study variables and perception of safety in neighborhood at night, Weighted Row %^a

Characteristic	Weighted na (total =29 675)	Feel Unsafe Walking at Night (row %) (n=16 287b)	p *
Length of Residence			0.375
New Residents (<1 year) Longer Term Residents (≥ 1 year)	4906 24 699	50.0 56.0
Gender			0.265
Male Female	14 318 15 287	52.1 57.8
Age (years)			0.397
18-24 25-34 35-44 45-54 55-65	6297 7834 5980 4950 4537	50.6 57.2 49.4 55.6 64.1
Race			0.088
Non-Hispanic White Non-Hispanic Black Hispanic/Latino Non-Hispanic other, multiracial	3912 14 434 9420 1766	52.9 49.1 61.7 70.9
U.S. Born			0.016
Yes No	25 969 3634	52.4 73.6
Marital status, n (%)			0.124
Never married Married or cohabiting Separated, Divorced, or Widowed	16 631 9344 3286	52.0 56.1 67.6
Children in Household			0.114
Yes No	16 289 13 120	58.5 50.6
Education			0.462
< High school degree High school degree or GED Some college/Associate’s degree Bachelor’s degree or more	4642 12 143 9549 3231	60.8 56.4 49.7 57.1
Household Income, $			0.359
<15 000 15 000- <30 000 30 000- <50 000 ≥ 50 000	10 520 9777 4995 3262	53.0 59.8 57.9 45.4
Employment Status			0.063
Unemployed Employed Not in labor force	3679 17 910 7894	48.8 51.9 64.5
Type of Residence			0.897
Own Rent Live w/ family, friends, or other	3649 20 406 5422	54.9 54.3 56.8
Family/friends hurt by neighborhood violence			<0.001
Yes No	8426 21 081	68.1 49.9

*p value for second order χ² test with finite population correction

^aNumbers may not sum to total due to missing data

^bWeighted n

Multivariable Logistic Regression

There was no association between length of residence and perception of safety as a basic model; however, when adjusting for demographic and living characteristics in a model without an interaction term, this association was significant (p = 0.049) with new residents significantly more likely to feel unsafe in their neighborhood compared to longer-term residents (OR = 1.66, 95% CI 1.00, 2.74). An assessment of multicollinearity yielded covariate VIF values all less than 2.87, indicating that there is no strong indication of multicollinearity among variables.

Effect Modification by Exposure to Neighborhood Violence

Exposure to neighborhood violence significantly moderated the association between length of residence and perceptions of safety (p = 0.015). In the fully adjusted model with interaction term (Table 3), among those exposed to violence, there was no significant difference in perceptions of safety between new residents and long-term residents (OR = 2.38, 95% CI 0.74, 7.71). For those without exposure to neighborhood violence, longer-term residents were significantly more likely to feel unsafe in their neighborhood than new residents (OR = 2.03, 95% CI 1.19, 3.45).

Table 3.

Association between length of residence and perceptions of safety in neighborhood at night, by exposure to neighborhood violence (N = 1099 unweighted, 27,839 weighted)

	Adjusted OR (95% CI)	p*
Exposed to neighborhood violencea	2.38 (0.74, 7.71) 1.00	0.147
Unexposed to neighborhood violencea	0.49 (0.29, 0.84) 1.00	0.010

*p values from χ² test with finite population correction

^aComparing new residents to longer-term residents. Adjusted model is the interaction model including interaction term and adjusting for age, race, marital status, education level, yearly household income, employment status, and type of residence. While age was not assessed to be a confounder by percent change in beta, it was included in the final model due to its non-linear association with primary variables of interest. For those unexposed to neighborhood violence, OR 2.03, 95% CI (1.19, 3.45) when comparing longer-term residents to new residents

Effect Modification by Length of Residence

Table 4 illustrates the effect of exposure to violence on perceptions of safety, modified by length of residence. Among new residents, exposure to violence resulted in 9.10 times increased odds of feeling unsafe at night, compared to those unexposed to neighborhood violence (p < 0.001, 95% CI 2.72, 30.44). Among longer-term residents, exposure to violence resulted in 1.88 times increased odds of feeling unsafe at night, compared to those unexposed to neighborhood violence (p = 0.001, 95% CI 1.28, 2.77). In other words, the effect of neighborhood violence exposure on perceptions of safety was stronger for new residents than for those who had lived in a neighborhood for 1 year or more.

Table 4.

Associations between exposure to neighborhood violence and perceptions of safety in neighborhood at night, by length of residence (N = 1099 unweighted, 27,839 weighted)

	Adjusted OR (95% CI)	p*
Among new residents (< 1 year)a	9.10 (2.72, 30.44) 1.00	< 0.001
Among longer-term residents (≥ 1 years)a	1.88 (1.28, 2.77) 1.00	0.001

*p values from χ² test with finite population correction

^aComparing those exposed to neighborhood violence to those unexposed to neighborhood violence. Adjusted model is the interaction model including interaction term and adjusting for age, race, marital status, education level, yearly household income, employment status, and type of residence. While age was not assessed to be a confounder by percent change in beta, it was included in the final model due to its non-linear association with primary variables of interest

Discussion

This study highlights the intersecting effects of violence exposure and length of residence on the perception of neighborhood safety. Consistent with our initial hypothesis, we found that new residents were more likely to perceive their neighborhood as unsafe relative to longer-term residents. However, we also found that this relationship was moderated by exposure to violence. Among those unexposed to neighborhood violence, new residents experienced a protective effect, as longer-term residents were significantly more likely to report feeling unsafe at night in their neighborhood compared to new residents. These findings contradict our expectation that longer-term residents would feel more safe. One explanation for these findings is that longer-term residents may gain greater awareness of neighborhood violence or harms even if unexposed to violence, while new residents may not become aware of neighborhood violence and may enter their new place of residence with a sense of comfort or safety [40].

We also found that the effect of violence exposure on feelings of safety was much larger among new residents than among longer-term residents, indicating that new neighborhood experiences may greatly shape one’s neighborhood perceptions for new residents. New residents may be particularly vulnerable to violence exposure, while literature shows that longer-term residents gain the social resources to buffer the effects of violence exposure on their perceptions of safety [32]. New residents may not have attained these same resources in their new neighborhoods given their short length of neighborhood stay. Alternatively, it is possible that violence exposure had a larger effect on perceptions of safety for new residents because these experiences of violence exposure were experienced more recently.

Limitations and Future Directions

Our findings must be interpreted with consideration of some potential limitations. Due to the cross-sectional nature of the data, we cannot establish a causal association between residence and perceptions of safety. As noted above, it is important to consider the temporality of violence exposure as well. New residents were likely exposed to violence more recently (as they moved to their neighborhood within the last year), compared to longer-term residents, who may have experienced exposure to violence at any point, including long ago. Additionally, though the sample was constructed to be representative of the 6 neighborhoods from which it drew, it is unlikely to be generalizable to other geographic areas. While not captured in this dataset, personal experiences of violence could be investigated as a primary source of violence exposure, compared to indirect violence exposure through experiences of family and friends used in this study. Future studies or replication of this research should utilize a larger, more representative sample of citywide data in order to draw conclusions and comparisons across all city neighborhoods. Objective measures of neighborhood crime were not assessed in this study, due to primary interest in how perceived sense of personal safety may affect the actions of residents rather than crime itself; however, future studies could assess crime levels as an objective measure of neighborhood violence.

Despite these limitations, the results of this study expand on prior research and our understanding of the complex and intersecting factors that determine perceptions of neighborhood safety. Given the established link between perceptions of safety and walkability, our findings also have implications for understanding determinants of neighborhood physical inactivity and its related health risks, particularly for new neighborhood residents.

The results of our study are also relevant in light of severe housing challenges that contribute to high residential turnover in low-income neighborhoods [49, 50]. While some new residents move by choice, low-income renters experience greater forced displacement in the form of eviction, foreclosures, and condemned housing [51]. Existing research has documented the health consequences of this high residential mobility, particularly among those of low socioeconomic status [52]. Our findings extend this work, illustrating one pathway through which residential turnover may affect health.

Our findings suggest a need for interventions to mitigate the effects of both residential turnover and violence exposure. Individual or group-based counseling interventions to address psychological impacts of neighborhood violence may empower residents to build increased self-agency and healthy coping strategies [53]. Improved access to affordable housing can prevent disruptions in feelings of safety that may occur when residents are forced to move [54]. Urban planning interventions that improve perceived safety, such as shared public space for dense areas and mixed land use, could improve walkability and promote healthy behaviors [55, 56]. Additionally, initiatives such as increasing vegetation and greenery in urban planning design can decrease violence in neighborhoods [57]. Given the established link among perceptions of safety, walkability, and related health behaviors, policies that can address the determinants of perceived neighborhood safety are likely to have significant health benefits.