Neighborhood Context and the Pretrial Process: Do Defendants Face Adverse Outcomes Due to Their Home Address?
Open accessAbstract
When extralegal factors correlate with differences in bond amount and pretrial detention, justice may be compromised. Prior research has identified disparity related to defendant characteristics, such as income and race. This article offers insight into a less explored source of disparity, neighborhood context, and a particularly disadvantaged population, defendants, or pretrial detainees, unable to afford their bail in court and booked into a county jail. Considering the desire for community safety, the difficulty of predicting dangerousness and court attendance, and the impact of ecological factors on other court outcomes, it is hypothesized that neighborhood context heightens disparity in the pretrial process. Findings support this argument. Offense elements best predict bond amount; however, there exists disparity based on neighborhood characteristics. When assessing the same factors in relation to detention length, bond amount is not significant, but rather individual- and neighborhood-level characteristics. Implications are discussed in light of current bail reform efforts.
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St. Louis (2020) found that ethnicity was no longer a significant predictor of bail amount when crime type was included in analyses.
“For instance, St. Louis (2020) found ethnicity was no longer a significant predictor of bail amount when crime type was included in analyses.”
From A Scoping Review of the Relationships Between Cash Bail, Failure to Appear, Re-Arrest, Health and Well-Being, Race, and Gender (2026) · cites this paper as St. Louis (2020)
Cites
2. Toward a Theory of Race, Crime, and Urban Inequality
Sampson, R. J., & Wilson, W. J. (1995) · Crime and Inequality · doi:10.1515/9781503615557-004 · Cited by 911 · see citing works
Dobbie, W., Goldin, J., & Yang, C. S. (2018) · American Economic Review · doi:10.1257/aer.20161503 · Cited by 564 · see citing works
Albonetti, C. A. (1997) · Law & Society Review · doi:10.2307/3053987 · Cited by 459 · see citing works
Difference, Disparity, and Race/Ethnic Bias in Federal Sentencing
Everett, R. S., & Wojtkiewicz, R. A. (2002) · Journal of Quantitative Criminology · doi:10.1023/a:1015258732676 · Cited by 187 · see citing works
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Scheadler, T. R., Radney, A., Smith, B. L., Munshi, A., & Cole, E. (2026) · American Journal of Criminal Justice · doi:10.1007/s12103-025-09860-5 · Cited by 2 · see citing works
“For instance, St. Louis (2020) found ethnicity was no longer a significant predictor of bail amount when crime type was included in analyses.”
Influential
- Authors
- St. Louis, S.
- Affiliations
- Northeastern University, Boston, MA, USA
- ORCID
- St. Louis, Stacie
- Venue
- Criminal Justice Policy Review
- Publisher
- SAGE Publications
- Published
- 2019-12-04
- Volume
- 31
- Issue
- 9
- Pages
- 1340-1365
- ISSN
- 0887-4034 (ISSN-L)
- 1552-3586
- OpenAlex
- W2993310995
- Cited by
- 8
- References
- 4
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 1 · 2023: 1 · 2022: 1 · 2021: 1
- FWCI
- 1.01
- Type
- journal article
- Language
- en
- Open access
- green
- figshare.com
- Locations
- Criminal Justice Policy Review (publishedVersion)
- Figshare (acceptedVersion, cc-by)
- Topics
- Social Sciences › Sociology and Political Science › Criminal Justice and Corrections Analysis
- Social Sciences › Law › Criminal Justice and Penology
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Law, Economics, and Judicial Systems
- Keywords
- neighborhood context, pretrial detention, bail, pretrial detainees, bail reform, racial disparities, socioeconomic deprivation, community safety
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