Crime in neighborhoods is generally regarded as a matter of the population background, as well as traditions that are current for any particular neighborhood. Therefore, the primary data collection process should be arranged in the neighborhoods with increased crime levels. This will help to study the demographic characteristics of the population, as well as collect data associated with the background of criminal activity within the neighborhoods.
The other aspect of studying the problem is closely linked with the education level. The education level of the population generally defines the range of family incomes, and this factor plays an important role in crime level growth, as persons with low income often violate the law in order to survive and earn their living. Therefore, education level statistics is the next important aspect for researching the problem of crime in different neighborhoods.
Since education level defines personal income, it should be emphasized that this parameter should also be studied as an important factor of crime development. Therefore, income data may be studied by requesting statistical data of any particular neighborhood, as well as assessing the most common occupations for dwellers of the studied districts.
The last important parameter is occupation. Therefore, as it is stated by Matthews and Pitts, the largest part of the population is employed and works between 50 to 52 weeks a year, including 59.7% of men and 52.2% of women. Hence, the working population is less subjected to criminal behavior, while unemployed persons or persons with an unstable income, and with low educational levels are more subjected to violating the criminal law.
The key limitations of the offered methodology are associated with the impossibility to study the behavior of criminals in the neighborhoods with the increased crime levels. Therefore, the research will not involve the personal psychological aspects of the criminals and will be based on statistical data only. Another limiting factor is the impossibility to get the recent statistical data. In fact, this data is collected periodically, and by the time of the research, some data may be outdated.