Property Crimes Case Study # 49
Applied Managerial Statistics: GM533
Virginia Davis, Lauren Holder, Stanley Philip and Andrea Watson
Executive Summary
The Property Crimes study examined data provided by various U.S. government agencies on crime rates in the fifty U.S. states. Other data studied were eight possible contributing factors such as per capita income, high school dropout rate, average precipitation, population density, and urbanization. Analysis revealed, of the eight possible contributing factors, three of those variables (urbanization rate, high school dropout rate and population density) affected property crime rates. Of the given data, the model accounted for approximately 66% of the contributing factors
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KIDS 1.104 1.449 0.76 0.450
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PRECIP 1.58 11.16 0.14 0.888
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UNEMPLOY -46.38 79.65 -0.58 0.564
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URBAN 64.39 10.93 5.89 0.000
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S = 749.394 R-Sq = 69.0% R-Sq(adj) = 63.0%
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Analysis of Variance
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Source DF SS MS F P
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Regression 8 51341130 6417641 11.43 0.000
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Residual Error 41 23025269 561592
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Total 49 74366399
The regression analysis was initially run using all variables to determine the significance of each when associated
This could be considered an interesting fact considering the two state border one another. It is also important to note that Missouri does not follow the same steady pattern that Arkansas did. There were several points of inconsistency, where the crime rates increased and then decreased in Missouri. This kind of pattern seems to be followed throughout the time span given. While the crime rates were still higher in 2012 than they were in 1960, they did not rise as a steady rate like that of Arkansas. From 1960 to 1990, the rate of property crimes seems to follow the same principles as that of violent crime in the two states in the sense that Missouri had higher rates of property crime and a jagged pattern. However, around 1990 and on, the rates of the two states seem to hover around the same intensity and rate. It is also interesting to note that, in both states, after 1990 the rates begin to steadily decrease overall. It appears that the states have more similar rates when it comes to property crimes rather than violent
The relationship between age and delinquency is evidence by an agreement between all three data sources, which show that crimes peak during mid to late adolescence. Rates for property crime peak in mid to
The 1980s and early 90s were home to an extreme wave of criminal activity that swept across much of the country. The dramatic uptick in crime can largely be attributed to the spread of the crack-cocaine epidemic and subsequent “War on Drugs.” New York City, for example, suffered from 2,605 murders and 208,813 burglaries in 1990, at the height of the violence . Much of this criminal activity centered around and affected the poorest individuals in those communities – which often included minorities.
Research questions. There is little doubt that unsafe, abandoned structures and vacant lots trigger expenditures by municipalities, either directly or indirectly, and result in lost revenue. However, less certainty exists about the relationship between crime rates and the conditions of neighborhoods as expressed by abandoned buildings and vacant lots. The research questions are: (1) Do abandoned properties actually attract criminals and contribute to social
In this paper it is going to discuss violent crime and property crime. It will be discussing the different types of violent crimes and property crimes that exist. The differences between the two crimes and there impact on the United States. The statistics of violent crime compared to property crime in the year 2012. There are many things that may surprise you when it comes to the crime rate in 2012 compared to 2011 and before then.
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.
Part 1: Nature, Extent, Impact of Crime Policy on Crime & the Administration of Justice in the U.S.
This paper explores the relationship between low income and violent crime rate in Unite State over some period of time. This question is research is interested in how income inequality increases crime rate. Between 1975 to 2004 research shows that income earned by the top 5% of America families increased from 15.3% to 20.1%. Families that are at the bottom sees their earning dropped from 5.1% to 4.2%. Data used for this research is been collected from bureau of justice statistics (BJS) from national Crime and victimization survey (NCVS), which provide summary statistics based on a nationality representative sample for a wide range of crimes. Data is been collected from household that are below and above poverty level in the country and non-fall violent victimization, but
There has been a lot of research on how to reduce property crime rates. Laycock (1991) produced a community policing approach to reduce domestic burglary. He develops a strategy called property marking for three areas. This belief is that personalized labeling your property will protect it from theft. He created three methods, “publicity, door-to-door
In this research paper, analysis is done to conclude whether the level of education and poverty influence the total crime rate in the United States of America. Using descriptive statistics such a mean, standard deviation, variance, histograms, scatter diagrams and simple linear regression analysis performed upon both independent variables separately, it can be analysed till what extent do these two independent variables, i.e. education and poverty cause fluctuations upon the dependent variable, in what proportion (direct or inverse) and of the two independent
In an article by Hjelmeland in the state like Colorado, New Jersey and South Dakota there is a direct connection between these areas and the crime rates, with the crime rate being the highest in the state per 10,000 residents. (Hjelmeland 1)
This paper presents statistics on major factors that affects the property crime rates in the U.S.
A common theory in criminology and in sociology suggests that class and race are vital roles regional crime rates. Previous research indicates that the distribution of class and race within certain residential areas has a key role in the outcome of certain violent acts. In his study, Income Inequality, Race, and Place: Does the Distribution of Race and Class within Neighborhoods Affect Crime Rates, John R. Hipp states “Specifically, studies have tested how the distribution of economic resources across neighbor-hoods, as measured by income or poverty, affects neighborhood crime rates or the how the distribution of racial/ethnic minority members across neighborhoods, as measured by the percent nonwhite, and so on, affects neighborhood crime rates (Hipp 2007). While one may traditionally assume that minorities neighborhoods yield a more intensive crime rate, this is not necessarily true.
A violent crime occurs every 23.5 seconds in the United States of America. Even though crime has been at a low during the past decade, violence is still prevalent in today’s society. Most of these crimes happen in places that are socio-economically disadvantaged. There then is the debate of whether violent crime is associated with environments struck with poverty. There is a correlation between violent crimes and poverty because of the unemployment rates in major cities, the culture of poor areas, and drugs.
Crime data came from local police agencies for the FBI's Part I crimes (i.e., homicide, rape, aggravated assaulted assaults, robbery, burglary, larceny, auto theft, and arson) for February through July 1998. Additional data came from computerized crime mapping. Results in both cities revealed that black female residents of public housing were at a much higher risk of aggravated assault than were black and white women who lived elsewhere in the same jurisdiction. However, the geographic pattern for aggravated assaults for black female public housing residents differed markedly in the two cities. The analysis used the perspective of situational crime prevention to attribute the differences in victimization patterns to the different architectural design and geographic dispersion of the respective cities’ public housing developments. (Holzman, Hyatt, & Dempster, 2001)