The DOI matches its Crossref record.
Inner-city poverty in the United States
Abstract
This volume documents the continuing growth of concentrated poverty in central cities of the United States and examines what is known about its causes and effects. With careful analyses of policy implications and alternative solutions to the problem, it presents: * A statistical picture of people who live in areas of concentrated poverty. * An analysis of 80 persistently poor inner-city neighborhoods over a 10-year period. * Study results on the effects of growing up in a bad neighborhood. * An evaluation of how the suburbanization of jobs has affected opportunities for inner-city blacks. * A detailed examination of federal policies and programs on poverty. Inner-City Poverty in the United States will be a valuable tool for policymakers, program administrators, researchers studying urban poverty issues, faculty, and students.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Socioeconomic disadvantage and child development
McLoyd, V. C. (1998) · American Psychologist · doi:10.1037/0003-066x.53.2.185 · Cited by 3,763
Leventhal, T., & Brooks-Gunn, J. (2000) · Psychological Bulletin · doi:10.1037/0033-2909.126.2.309 · Cited by 3,550
Where is the land of Opportunity? The Geography of Intergenerational Mobility in the United States *
Chetty, R., Hendren, N., Kline, P., & Saez, E. (2014) · The Quarterly Journal of Economics · doi:10.1093/qje/qju022 · Cited by 2,922
Intergenerational Mobility in the Labor Market
Solon, G. (1999) · Handbook of Labor Economics · doi:10.1016/s1573-4463(99)03010-2 · Cited by 1,109
Chapter 48 Race and gender in the labor market
Altonji, J. G., & Blank, R. M. (1999) · Handbook of Labor Economics · doi:10.1016/s1573-4463(99)30039-0 · Cited by 981
Metadata
- Venue
- Choice Reviews Online
- Publisher
- American Library Association
- Published
- 1991-07-01
- Volume
- 28
- Issue
- 11
- Pages
- 28-6514-28-6514
- ISSN
- 0009-4978 (ISSN-L)
- 1523-8253
- OpenAlex
- W605827448
- Cited by
- 959
- References
- 0
- Type
- book review
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Inner-city poverty in the United States. https://app.cochat.ai/papers/10.5860/choice.28-6514
- The paper
- Inner-city poverty in the United States. (1991). Choice Reviews Online. https://doi.org/10.5860/choice.28-6514
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.