Table # 4 Assault in the US from 1981-1994
Table # 5 Burglary in the US from 1981-1994
Table # 6 Motor Vehicle Theft in the US from 1981-1994
From these table we can already gather that burglary is the most frequent crime in the US, with Murder being the least frequent. Crime has increased from 1981-1994 in all areas except burglary, where the number of recorded crimes has decreased.
Part Two Data
Table # 7 Murder in the UK from 1981-1995
Table # 8 Rape in the UK from 1981-1995
Table # 9 Robbery in the UK from 1981-1995
Table # 10 Assault in the UK from 1981-1995
Table # 11 Burglary in the UK from 1981-1995
Table # 12 Motor Vehicle Theft in the UK from 1981-1995
In this study of part two, we can see that both the US and the UK share the most frequent crime of burglary, and the least frequent one of murder. Bear in mind when looking at the data that Britian is much smaller than the US, and could fit into the state of Texas approximately three times.
- Analysis
Working primarily on US data, first I found the number of unsolved crimes per year, and the number of cases without an arrested suspect. This was achieved by subtracting the number of offenders convicted for the particular crime from the number of police recorded crimes, and then the number of suspects arrested for the particular crimes from the number of police recorded crimes. After making a data table from this, I also found the percentages of crimes unsolved by the police, and crimes without an arrested suspect.
Part One Full Analysis Tables
Table # 13 Murder in the US from 1981-1994 including percentages
Table # 14 Rape in the US from 1981-1994 including percentages
Table # 15 Assault in the US from 1981-1994 including percentages
Table # 16 Robbery in the US from 1981-1994 including percentages
Table # 17 Burglary in the US from 1981-1994 including percentages
Table # 18 Motor Vehicle Theft in the US from 1981-1994 including percentages
Then, a graph was made using Microsoft Excel, and I used the Peirson Correlation Co-Efficient to find the R value from the graphs
Graph # 1 Murder, US
Graph # 2 Rape, US
Graph # 3, Assault, US
Graph # 4 Robbery, US
Graph # 5 Burglary, US
Graph #6 Motor Vehicle Theft, US
Secondly working on the UK data, I found only the cases unsolved per year, for that is what the data available allowed. I was also able to form graphs of the number of cases unsolved per year, and compare these to those of the US. Despite not being able to compare the number of cases without an arrested suspect per year between the two countries, the category I was able to compare provided a good contrast.
Part Two Full Data Tables
Table # 19 Murder in the UK from 1981-1995 including percentages
Table # 20 Rape in the UK from 1981-1995 including percentages
Table # 21 Assault in the UK from 1981-1995 including percentages
Table # 22 Robbery in the UK from 1981-1995 including percentages
Table # 23 Burglary in the UK from 1981-1995 including percentages
Table # 24 Motor Vehicle Theft in the UK from 1981-1995 including percentages
From looking at both countries’ graphs, it is obvious which country had the most efficient crime fighting team; the US. However, I also compared r values of the two graphs, just in case, and the r values backed up my visual conclusions.
Graph # 7 Murder UK
Graph # 8 Rape, UK
Graph # 9 Assault, UK
Graph # 10 Roberry UK
Graph # 11 Burglary UK
Graph # 11 Motor Vehicle Theft, UK
D: Evaluation
From my investigation, I can conclude that the crime fighting efficiency of the US increased. Looking at part one of my project, and the first graph, I can conclude that although the number of crimes that were unsolved grew in 1981-94, relitavely, the efficiency of the US police force also grew – catching just over 39% of criminals in ’81, and 66-67% of criminals in 1994. Every graph shows an increase in crime in the US, but also, an increase in crime fighting efficiency. Basically, the number of cases without a suspect, or remaining unsolved, declined; the Police force became more efficient at catching criminals. Robbery was the only area in which the percentage of cases unsolved and the percentage of cases without an arrested suspect decreased. Burglary showed the least increase in efficiency, with the crimes remaining unsolved decreasing by just under one percentile. US efficiency to catch murder suspects, and convict them, rose the most throughout the period of 1981 to 1994, with efficiency in ’81 leaving 60.9% of cases unsolved, and efficiency in ’94 leaving 44% of crimes unsolved, an amazing drop of 16.9%.
When assessing part two of the project, we can see that in comparison to the UK, crime efficiency in the US is acutely better. While, in the UK, the numbers of cases left unsolved increased for every crime area, crimes left unsolved in the US decreased in every area. The UK proved least successful at catching those who committed assault.
This project had a few limitations. The unavailability of complete UK data with which to contrast with the UK made the contrast unreliable, as it was conducted in only one field. However, the contrast itself was useful, as it added scope to the project, and the comparison showed how the US police force measured up to those elsewhere. Finding more countries with which to contrast to the US would have made the project stronger. Another limitation was the number of years the study was conducted over. Perhaps given a broader spectrum of years, one could have studied a larger increase in efficiency, and also looked at (if there were any) slides in efficiency level.