المجلة الجزائرية للأبحاث والدراسات
Volume 8, Numéro 2, Pages 74-93
2025-04-30
Sociological Statistical Analysis Of Crime Rates In The Province Of Algiers For The Period Extending From 2016 To 2022
Authors : Lahmer Zahira . Belaissaoui Tahar .
Abstract
This article presents the crime statistics for the Algiers Province, obtained from the Judicial Police Department at the Provincial Police Station in Algiers, covering the period from 2016 to 2022. It aim to identify the main areas or sectors where crimes occur, as well as to demonstrate statistical figures associated with the various types of crimes that are most prevalent in the province. Furthermore, the article seeks to determine the social groups most involved in criminal behavior by conducting sociological analyses and interpretations of the statistical data. It also endeavours to examine whether crimes are continuously increasing in terms of their rates and types, or whether they are declining or stabilizing. In this study, we relied on a historical methodology as we investigate specific years that demonstrate the extent of crime and its proliferation in the province by illustrating statistical figures for several types of crimes and the social groups committing them across various sectors. By focusing on a specific time period for a given topic, we address the changes that have impacted it over certain time frames, leading to conclusions based on the collected data. Among the most significant results of this study is a noticeable increase in crimes against public property, as well as in drug-related offenses and cybercrimes, all of which have viewed an uptick in their rates. Furthermore, there has been a slight increase in economic and financial crimes. We also found that the areas with the highest crime rates in the province are El Harrach, followed by Bab El Oued, then Hussein Dey, Sidi M'Hamed, and finally Bir Mourad Raïs. Moreover, the results show that the most active demographic in committing crimes consists of males, young people aged 18 to 28, and the unemployed.
Keywords
Crime Rates; Crime Classifications; Social Categories; Crime
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