Violence or its threats have been a part of many African cities since the end of the Cold War, when many African countries transited from military to civilian rule. While the incidence of organised crime and violent victimisation of innocent citizens is not new to many West African cities, the emergence of terrorist organisations, armed bandits, kidnappers and armed gangs in a city like Lagos has created new security challenges. The challenges include the inability of government to cope with the rising number of young people in organised cult clashes and the threats to peace and stability in Lagos metropolis. This study is designed to investigate the influence of socio-demographic (senatorial district, gender, age, ethnic group, marital status, education, employment, duration of residency and type of apartment) and community factors (presence of nightclubs/hotels, use of private security and frequency of police patrol) on residents’ experience of crime victimisation, robbery and organised crime. The study adopted a cross-sectional survey design and a quantitative method of data collection. A structured questionnaire was used to elicit information from 300 respondents across three senatorial districts of Lagos State. The study found that factors such as location, type of apartment, nightclubbing, duration of residence, employment status and use of private security predicted at least one of the three dependent variables. The implications of the findings are discussed.

自冷战结束以来，暴力或其威胁一直是许多非洲城市的一部分，当时许多非洲国家从军事统治过渡到文职统治。虽然对许多西非城市来说，有组织犯罪和无辜公民遭受暴力伤害的事件并不新鲜，但在拉各斯这样的城市，恐怖组织、武装匪徒、绑架者和武装团伙的出现带来了新的安全挑战。挑战包括政府无力应对越来越多的年轻人参与有组织的邪教冲突以及拉各斯大都市的和平与稳定受到威胁。本研究旨在调查社会人口（参议院选区、性别、年龄、种族、婚姻状况、教育、就业、居住时间和公寓类型）和社区因素（夜总会/酒店的存在、私人保安的使用和警察巡逻的频率）对居民犯罪受害、抢劫和有组织犯罪的经历。本研究采用横断面调查设计和定量数据收集方法。使用结构化问卷从拉各斯州三个参议院选区的 300 名受访者中获取信息。研究发现，地点、公寓类型、夜总会、居住时间、就业状况和私人保安的使用等因素至少预测了三个因变量中的一个。讨论了研究结果的影响。抢劫和有组织犯罪。本研究采用横断面调查设计和定量数据收集方法。使用结构化问卷从拉各斯州三个参议院选区的 300 名受访者中获取信息。研究发现，地点、公寓类型、夜总会、居住时间、就业状况和私人保安的使用等因素至少预测了三个因变量中的一个。讨论了研究结果的影响。抢劫和有组织犯罪。本研究采用横断面调查设计和定量数据收集方法。使用结构化问卷从拉各斯州三个参议院选区的 300 名受访者中获取信息。研究发现，地点、公寓类型、夜总会、居住时间、就业状况和私人保安的使用等因素至少预测了三个因变量中的一个。讨论了研究结果的影响。就业状况和私人保安的使用至少预测了三个因变量中的一个。讨论了研究结果的影响。就业状况和私人保安的使用至少预测了三个因变量中的一个。讨论了研究结果的影响。