Neighborhood Crime Rates

Baltimore, the largest city in Maryland, is located in the northern portion of the state on the Patapsco River estuary, a division of Chesapeake Bay. The city is self-governing and does not fall within any county. (Baltimore, Md., 2015) The vast majority of this city is poverty stricken, which makes it vulnerable to high crime rates. In the first six months of 2013 Baltimore had reported 117 homicides, with a population of 622, 104, (CITY DATA, 2015) this gives the city a rate of 18.8 per 100,000. It was one of few cities that year to actually see an increase in homicides; it was stated by Their City Police Commissioner that more than half of their homicides were related to drugs. Even though, the amount of violent crimes dwindled in 2013,

Detroit, the largest city in the state of Michigan, unfortunately has been plagued with a high crime rate resulting in synonymous acts of violence, poverty, and urban decay. A multitude of factors are considered when determining accurate explanations of crime within Detroit. These factors include changes in land use, property values, transportation, and retail, as an individual moves further away from the city center. According to Robert Park and Ernest Burgess, Chicago School, a city was similar to a body and consisted of various organs. The theory attempted to analyze criminality from an ecological and social disorganization standpoint. This theory asserted that a city included distinctive concentric circles that radiated from the central business district (CBD). Supposedly, the further one moves away from the concentric zones, the fewer social problems that exist (Williams & McShane, 2009, p. 86).

City Heights East is divided by many different ethnicities. There is 54.3% Hispanic, 20.9% Asian, 15% Black, 7.3% White, 2.2% mixed, and 0.3% other. With this data we can see that there is is range of different ethnicities and not one fully overrides other. This is a diverse community with some great cultures throughout. With this comes crime. With a total of about 30 assaults in the past year, there needs to be a sense of community rather than a sense of territory. Within this sections it will review the cost of living, the employment rates, the school’s, and the community organization. These are all important when looking at a specific crime and how to improve it within the community.

On the other hand, others argue that disproportionality in arrest decisions is commensurate with the racial distributions in offending rather than residential distribution in the population (D’Alessio & Stolzenberg, 2003; Sampson & Lauritsen, 1997). Putting it differently, proponents of this group hold that differential involvement in crime commission leads to higher arrest rates. For this reason, employing frequency of crime involvement as a baseline measure would yield different findings as opposed to relying only population as a baseline measure (Golub et al., 2007).

Neighborhood factors include aspects such as socioeconomic status and urbanization. Socioeconomic status is one of the main correlates of crime and delinquency, and neighborhoods with low socioeconomic status often lack sufficient money and resources (Sampson and Groves 1989, 780). In the book, LaJoe was unemployed and received governmental aid every month to buy groceries, pay the rent, and support her many children. She lacked the money to buy her

Because the p-value of .035 is less than the significance level of .05, I will reject the null hypothesis at 5% level.

The null hypothesis is rejected since the p-value is below the significance level of 0.05.

When you perform a test of hypothesis, you must always use the 4-step approach: i. S1:the “Null” and “Alternate” hypotheses, ii. S2: calculate value of the test statistic, iii. S3: the level of significance and the critical value of the statistic, iv. S4: your decision rule and the conclusion reached in not rejecting or rejecting the null hypothesis. When asked to calculate p–value, S5, relate the p-value to the level of significance in reaching your conclusion.

The community I have chosen for this paper is The South ward of Newark, New Jersey where the hospital which I work is located. Newark is an urban community consists of primarily of African American and Hispanic population. The South Ward of Newark and contains 17 public schools, five daycare centers, three branch libraries, one police precinct, and three fire houses (City of Newark New Jersey, 2013). The city’s property and violet crime levels tend to be higher than New Jersey’s average level (Newark, NJ Profile, 2013). Observation of this community through a window

The two metropolitan areas I have decided to do my research paper on are Cincinnati, Ohio and Dallas, Texas. I choose Cincinnati because it is one of the bigger cities where I live. I choose Dallas because there seems to be a big difference in crime rates compared to Cincinnati. In this paper I will be comparing the burglary rate between these two cities. I will identify the number of burglaries reported to the police in each area and also explain which area had more reported

So far, both theories are able to explain the crime inequality observed insides neighbourhoods; however, when it comes to explaining the difference in crime rates between neighbourhoods with similarly low levels of poverty, social disorganization theory is not able to fully explain why such difference may occur, as it places a greater focus on the internal dynamics of the neighbourhoods than on the external contingencies (Peterson & Krivo, 2010, p. 92). Based on Table 4.5 of Divergent Social Worlds: Neighborhood Crime and the Racial-Spatial DivideI, minority low-poverty areas have roughly two and a half times more violence than their white counterparts (Peterson & Krivo, 2010, p. 88). Social disorganization theory insists that residential instability (percent of those who owns and percent of those who rent) , population heterogeneity (internal differences, including ethno-racial differences), poverty (percent of those who live in poverty), income, deteriorating neighbourhood, and population loss (percent of those who leave due to deterioration) are mechanisms that leads to the absence of informal social control and increases social disorganization, causing the loss of control over youths who then hang out at spontaneous playgrounds and form gangs with delinquent traditions that get passed down through cultural transmission. If such was the case, then one would expect neighbourhoods with similar and comparable local conditions to have similar average rates of crimes. However,

Different states in America have varying demographics when it comes to race, income, joblessness, and more, and states also vary when it comes to crime rates. The relationships between economic factors and crime rates are not direct, for example, Alaska has had the 3rd highest median house income but also has had some of the highest violent crime rates in the country. Being able to predict crime rates in a geographical area such as a state is important for public policy and law enforcement regarding making informed decisions. These decisions can help create efficient anti-crime policies. The United States of America was used as the geographical unit of study excluding Alaska, New Jersey, and Hawaii due to missing data. This paper examines which factors related to economics and demographics are linked to the crime rate. Inequality has been theorized to increase crime rates due to ecological factor of crime (Merton, 1938; Shaw & McKay, 1942; Becker, 1968). Certain factors including race are more prevalently associated with inequalities which is why they are included in the analysis.

Environmental criminology examines how geographical location and features in that location affect crime. It argues that some environments are more prone to crime that others.

The focus of this theory is on the association between social control, the neighborhood structure, and crime (Kubrin & Weitzer, 2003). Social disorganization is the incapability of the community to solve significant problems and achieve common goals. The theory posits that residential mobility, poverty, ethnic heterogeneity, and weak social networks decrease the ability of the neighborhood to manage the behavior of people and hence the likelihood of crime is increased (Kubrin & Weitzer, 2003). Therefore, the social and physical environments of neighborhoods can increase the chances robbery. Factors such as unemployment, vandalized buildings, and poverty can thus be used to explain the occurrence of robbery. When the robbery rates have increased in a neighborhood, an examination of the social and physical environment can yield answers to robbery patterns.

In this paper I will discuss and explain anatomy of a crime decline in New York City as well as if in these days can we say that the city is safe. Purpose of this book " The City That Become Safe " written by Franklin E. Zimring is to show us how crime rate changed during 1990 to 2009. According to author this book presents a detailed profile of New York City crime over 20 years period. Book provides the vital statistics of the crime drop by type of crime, by borough, and by year. There are two reasons that such exhaustive detail is required as a beginning to the study. First, the size and the length of the drop are without precedent in the recorded history of American urban crime. The second reason that the details of the crime decline are needed is as a road map for explaining what changes in the city and its government might have caused this epic decline. The more we know about the specific character of the decline- when it happened, where it happened, which offenses- the better our capacity for sorting through different theories of what caused the drop. In addition, shifts the focus from the two decades of the decline to an assessment of current conditions in the city. How safe is New York City?.