A comparative analysis of jails in the United States and Bangladesh
Bibliographic Data
| ID | 6193283 |
|---|---|
| Authors | Jeffrey D Senese (University of Baltimore), Mohammed Kashem, Mohammed Bin Kashem (University of Baltimore) |
| Year | 1997 |
| Volume | 21 |
| Issue | 1 |
| Pages | 103-118 |
| Publication date | 1997-03-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | International Journal of Comparative and Applied Criminal Justice (JOURNAL) |
| Journal identifiers | ISSN: 0192-4036 • E-ISSN: 2157-6475 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/01924036.1997.9678588 |
| OpenAlex | W2093261580 |
| Language | EN |
| Citations received | 2 |
| References cited | 5 |
There are comparative analyses in the current criminal justice literature but few focus on Asian cultures and even fewer compare Muslim countries with the United States. While comprehensive comparative studies are needed, preliminary studies that correlate the functional similarities and differences are also necessary. Hence, the purpose of this paper is to conduct a comparative analysis of the jails in Bangladesh and the United States. The data for this study are taken directly from Bangladesh population summary reports and a matched sample of American Jails from the Bureau of Justice Statistics Jail Census (1990). The comparative data are key functional measures from each country and are used as the basis for classifying the jails into two groups. The findings indicate that there are key differentiating variables (crowding and population turnover) that allow one to classify the jails in the two nations. Although this study provides clear evidence for the differences between American and Bangladeshi jails, further in‐depth analyses should follow
Census · Criminal justice · Criminology · Geography · Political science · Population · Sociology · Criminal Justice and Corrections Analysis · Demography · Financial Distress and Bankruptcy Prediction · Imbalanced Data Classification Techniques · Psychology
| Citations per year | 0.13 |
|---|---|
| Citation span | 2010 - 2024 (15) |
| Highly cited | No |