City Demographics and Crime Profile Essay Example

American poor was linked with criminal violence (Second World War).

According to Chuck Wexler, who was the director in a police research forum says that nowadays crimes are known to start with early warnings. He stipulates that not all crimes that can widen the gap between the rich and the poor but violent crimes are the most notorious in causing such effects (Appel & Hellerman, 2007).

Though in the 1990s there was a considerable decrease in crimes, this decline was not uniform in Detroit city (Appel & Hellerman, 2007). The number of crimes rose in many Detroit medium sized cities. Criminologists say that the causes of such increase in crime were predictable. It is clear that the transition between poverty and wealthy is when crimes are high.

Though it is not easy to predict crimes trends, one can easily predict the effects that can arise as a result violence. The poor will definitely engage in crime hence increasing the crime rate. Though crimes have been associated with economic inequality, which is not always the case. Some criminal activities are not associated with inequality. It is stated that inequality influences violent crimes, not property crimes(Aitken et al., 2005).

Another transition zone occurs due to people’s mobility and geographic immobility. Crimes cross Detroit territories due to increased use of automobiles. A criminal may commit a crime in Detroit and flee to neighborhood city to evade been arrested. Once he/she settles in the other city starts crimes.

The project that was developed by Professor Miller of Saginaw Valley University and his students helped in identifying criminal "hotspots". The lecturer resolute to carry out that project after violence crimes became rampant in Saginaw (Aitken

et al., 2005). This was a system that could map both cold and hot spots. The professor was recognized by Lipe, the chief police after he solved the problem. According to US census, the percentage of people living in poverty level had declined due to an innovation of that project(Aitken et al., 2005).On the other hand, GIS can be used in identifying criminal "hotspots". GIS is currently the most used technology to monitor criminal "hot spots" in Detroit Michigan city.

This context can be related to socioeconomic status in various ways. Socioeconomic status has several components. On the side of economics, industries can be negatively affected. There is a great impact in social life like family break up (Aitken et al., 2005). Income is distribution is affected and job security decreased. Due to increased violence education sector is negatively impacted. Due to increased criminal activities, socioeconomics is negatively impacted. Violence makes many businesses be closed. Rape destroys the good human relationship.

The value of criminology theory can also be related to the information in this context. Since there are some criminal activities this information can be used to determine how to judge offenders. They can be judged according to the severity of the crime. This information can also be used to clarify criminal activities (Aitken et al., 2005). This information is useful in green criminology. On the side of Marxist criminology, the information can be utilized to determine what should be done or not.

In conclusion, Detroit city was the, most populated in the United States, Michigan. Due to industrial reforms, job scarcity and other factors the population declined. This city is has a high criminal record. According

to transition zones, crimes are greatly associated with inequality and move trans-boundary. GIS is currently used in Detroit Michigan City to identify criminal “hot spots”.

References:

1. Aitken, B., Harrison, A., &Lipsey, R. E. (2005). Wages and foreign ownership A comparative study of Mexico, Venezuela, and the United States. Journal of international Economics, 40(3), 345-371.
2. Appel, M., &Hellerman, E. (2007).Census bureau experience with automated industry and occupation coding.In American Statistical Association, Proceedings of Section on Survey Research Methods (pp. 32-40).
3. Behind, N. C. L. (2001). US Department of Education. Washington, DC.
4. Gavett, T. W. (2008). US Department of Labor, Bureau of Labor Statistics.Industrial and Labor Relations Review, 23(4), 634.